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<div class="ember-view organization-about-module__content-consistant-cards-description" id="ember51"><span class="lt-line-clamp__raw-line">Plus is an AI company whose mission is to build “driving intelligence” to power a safer and greener world. Plus’s autonomous driving solutions span from driver-out SuperDrive™, to highly automated PlusDrive®, next-gen safety technology PlusProtect™, and model-based perception software PlusVision™. Headquartered in Silicon Valley with operations in the U.S., Europe, and Australia, Plus is named by Fast Company as one of the World’s Most Innovative Companies. Plus’s large AI models are already powering vehicles in commercial use today. Partners including Bosch, dm-drogerie markt, DSV, Hyundai Motor Company, IVECO, Luminar, Nikola, Scania/MAN/Navistar of the TRATON GROUP, and Transurban are working with Plus to accelerate next-generation transportation solutions.</span></div>
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AI-powered autonomous driving for a safer, greener world.

<div>Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California. Named by Forbes as one of America’s Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus’s open autonomy technology platform is already powering vehicles in commercial use today. Working with one of the largest companies in the U.S., vehicle manufacturers, and others globally, Plus is helping to make driving safer, more comfortable, and more sustainable. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from <a href="https://www.fastcompany.com/90724485/most-innovative-companies-transportation-2022">Fast Company</a>, <a href="https://www.forbes.com/lists/americas-best-startup-employers/?sh=5a95f0cf2ad7">Forbes</a>, <a href="https://www.businessinsider.com/100-people-transforming-business-2021?person=david-liu-delivery">Insider</a>, <a href="https://ces.tech/Innovation-Awards/Honorees/2021/Honorees/P/PlusDrive.aspx">Consumer Electronics Show</a>, <a href="https://www.auvsi.org/our-impact/auvsi-xcellence-awards">AUVSI</a>, and others. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.</div><div><br></div><div><span style="font-size:11pt;">In this role, you will be responsible for the development and optimization of Plus’s latest redundant system architecture. You will collaborate with cross-functional teams to enhance both software and hardware components, ensuring seamless integration and reliable performance. You will work on critical features such as redundant actuation mechanisms, system monitoring, and automated testing pipelines. Your expertise will contribute to the development of robust, fault-tolerant systems that meet the rigorous safety-critical standards required for SAE Level 4 autonomous operations.</span></div><br><br><h3>Responsibilities: </h3><ul><li>Develop fallback mechanisms for redundant actuation systems, including system state monitoring, fault handling, and actuator activation.</li><li>Design and implement internal protocols on embedded systems to ensure proper communication and synchronization between redundant compute systems.</li><li>Collaborate with relevant teams to define test cases for new redundancy-related features, and actively participate in closed-course testing.</li><li>Establish and maintain CI pipeline to enable automated testing on redundancy-related software nodes.</li><li>Improve and optimize integration of Teleops and Offboard systems, ensuring seamless operation and compatibility.</li></ul><h3>Required Skills:</h3><ul><li>Pursuing MS or PhD in Robotics, Electrical Engineering, or a related field</li><li>Experience in robotics / mechatronics system integration</li><li>Experience with embedded systems, Linux CLI, and ROS</li><li>Proficient in C++, familiar with Simulink</li><li>Strong communication skills, with the ability to articulate technical concepts and collaborate effectively with cross-functional teams</li><li>A strong commitment to quality work, demonstrating reliability, accountability, and a proactive approach to meeting project goals and deadlines</li></ul><h3>Preferred Skills:</h3><ul><li>Previous experience in integrating and testing autonomous vehicle systems</li><li>Familiar with Drive-By-Wire systems and redundant architectures</li><li>Hands-on experience with CAN bus protocol</li><li>Experience with CI/CD pipelines and automated testing frameworks</li></ul><br><div><b>Your opportunities joining Plus</b></div><div>Work, learn and grow in a highly future-oriented, innovative and dynamic field.</div><div>Wide range of opportunities for personal and professional development.</div><div>Catered free lunch, unlimited snacks and beverages.</div><div>Highly competitive salary and benefits package, including 401(k) plan.</div>

Software Engineer Intern- Runtime, Robotics

<div>Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California. Named by Forbes as one of America’s Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus’s open autonomy technology platform is already powering vehicles in commercial use today. Working with one of the largest companies in the U.S., vehicle manufacturers, and others globally, Plus is helping to make driving safer, more comfortable, and more sustainable. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from <a href="https://www.fastcompany.com/90724485/most-innovative-companies-transportation-2022">Fast Company</a>, <a href="https://www.forbes.com/lists/americas-best-startup-employers/?sh=5a95f0cf2ad7">Forbes</a>, <a href="https://www.businessinsider.com/100-people-transforming-business-2021?person=david-liu-delivery">Insider</a>, <a href="https://ces.tech/Innovation-Awards/Honorees/2021/Honorees/P/PlusDrive.aspx">Consumer Electronics Show</a>, <a href="https://www.auvsi.org/our-impact/auvsi-xcellence-awards">AUVSI</a>, and others. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.</div><div><br></div><div><span style="font-size:11pt;">As a Runtime Software Engineer Intern, you will contribute to the development and optimization of our compute platform, including the inter-host communication stack, which is a critical foundational building block to SuperDrive, one of the most advanced L4 autonomous driving systems. </span></div><br><br><h3>Responsibilities: </h3><ul><li>Develop and optimize communication protocols over high-speed links, such as PCIe and High-Speed Ethernet.</li><li>Reduce inter-host data transfer latency and improve system reliability.</li><li>Design and implement safety and security measures for inter-host communication to comply with automotive-grade standards.</li><li>Utilize Nvidia's native NvSci infrastructure to optimize camera stream Inter-Process Communication (IPC), thereby enhancing both performance and safety.</li><li>Draft thorough documentation for planned and executed activities.</li></ul><h3>Required Skills:</h3><ul><li>BS or MS in Computer Science, Electrical Engineering, Robotics, or other related engineering field</li><li>Proficient in C++, python, and Linux CLI</li><li>Experienced in Linux network programming and kernel optimization, and profiling tools</li><li>Hands-on experience with ARM system development</li><li>Familiarity with robotics or automotive middleware, such as ROS, ROS2 or DDS</li><li>Understanding of inter-host communication protocols and safety/security principles</li></ul><h3>Preferred Skills:</h3><ul><li>Hands-on experience with Robotics and Autonomous Driving systems</li><li>Previous working experience with multinational teams and interdisciplinary projects</li><li>Basic understanding of functional safety concepts</li></ul><br><div><b>Your opportunities joining Plus</b></div><div>Work, learn and grow in a highly future-oriented, innovative and dynamic field.</div><div>Wide range of opportunities for personal and professional development.</div><div>Catered free lunch, unlimited snacks and beverages.</div><div>Highly competitive salary and benefits package, including 401(k) plan.</div>

Software Engineer Intern- Runtime, Compute Platform

<div>Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California. Named by Forbes as one of America’s Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus’s open autonomy technology platform is already powering vehicles in commercial use today. Working with one of the largest companies in the U.S., vehicle manufacturers, and others globally, Plus is helping to make driving safer, more comfortable, and more sustainable. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from <a href="https://www.fastcompany.com/90724485/most-innovative-companies-transportation-2022">Fast Company</a>, <a href="https://www.forbes.com/lists/americas-best-startup-employers/?sh=5a95f0cf2ad7">Forbes</a>, <a href="https://www.businessinsider.com/100-people-transforming-business-2021?person=david-liu-delivery">Insider</a>, <a href="https://ces.tech/Innovation-Awards/Honorees/2021/Honorees/P/PlusDrive.aspx">Consumer Electronics Show</a>, <a href="https://www.auvsi.org/our-impact/auvsi-xcellence-awards">AUVSI</a>, and others. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.</div><div><br></div><div><span style="font-size:10.5pt;">As a Technical Program Manager Intern, you will play a crucial role in enhancing autonomy metrics and optimizing engineering process management tools. This role provides an exciting opportunity to work with cutting-edge technology and collaborate with cross-functional teams to drive efficiency and innovation in our engineering processes. You’ll gain hands-on experience in program management, data analysis, and workflow optimization while working with tools like Jira, Jama, etc. If you thrive in a fast-paced environment, have a keen eye for detail, and love solving complex problems, we’d love to hear from you!</span></div><br><br><h3>Responsibilities:</h3><ul><li>Review autonomy metrics data to improve the accuracy.</li><li>Facilitate long-term solutions for autonomy metrics review and improvement.</li><li>Review testing data tagging and provide feedback to Operations team.</li><li>Define comprehensive engineering use cases for different tools, like Jira, Jama, and PlusGo.</li><li>Design the workflow among different tools according to the use cases and document the tools instructions.</li><li>Facilitate tool rollout to engineering team.</li></ul><h3>Required Skills:</h3><ul><li>Currently pursuing a Bachelors or Masters degree in Engineering, Computer Science, or a related field.</li><li>Strong organizational and time-management skills with the ability to handle multiple tasks.</li><li>Possess an analytical mindset with high attention to detail.</li><li>Passion for technology and autonomous driving industries.</li></ul><h3>Preferred Skills: </h3><ul><li>Experience with engineering process management tools such as Jira.</li><li>Knowledge of autonomy metrics and data analysis techniques.</li><li>Strong communication skills for cross-functional collaboration.</li></ul><br><div><b>Your opportunities joining Plus</b></div><div>Work, learn and grow in a highly future-oriented, innovative and dynamic field.</div><div>Wide range of opportunities for personal and professional development.</div><div>Catered free lunch, unlimited snacks and beverages.</div><div>Highly competitive salary and benefits package, including 401(k) plan.</div>

Intern- Technical Program Management

<div>Are you interested in making an impact on Plus’ autonomous driving technology, to take our software’s safety and resiliency to the next level? During your internship, you will work closely with various engineering teams, from low-level middleware to high-level robotics algorithms, helping to identify and address the most elusive corner cases before the code is shipped, as well as automate such preemptive bug discovery. While at it, you will have the opportunity to learn a lot about autonomous driving system architecture and design, how individual robotics components work internally as well as together in order to navigate the vehicle, and more.</div><br><br><h3>Responsibilities:</h3><ul><li>Learn about the core platform components that lie in the foundation of autonomous driving software and facilitate its smooth and reliable operation.</li><li>Utilize a range of tools to analyze C++ source code, compiled binaries as well as actual behavior of the production system in order to detect problematic areas.</li><li>Actually fix the uncovered problems and ensure that they don’t come back in the future.</li><li>Develop tools and pipelines to help automate the bug-hunting process.</li></ul><h3>Required Skills:</h3><ul><li>Experience coding using C++14 or later (you’ll be reading a lot of production code and writing some yourself).</li><li>Familiarity with development workflow on Linux: compiling and debugging C++ code, basic shell scripting.</li><li>Basic proficiency of the Python programming language.</li><li>Willingness to learn a lot and explore the unknown!</li></ul><h3>Preferred Skills:</h3><ul><li>Experience with Operating Systems concepts such as concurrency, virtual memory, particularly in the context of the C++ programming language.</li><li>Experience with the gdb or lldb debugger.</li></ul><br>

Software Engineer Intern - C++ Runtime Platform

<div>As an ML Infrastructure &amp; data engineer Intern on our team, you’ll play a critical role in building and optimizing our data engine platform, which is the backbone of our autonomous driving technologies. Your contributions will directly impact the reliability, scalability, and performance of our AI systems by designing robust ML infrastructure, refining data pipelines, and enabling efficient workflows.</div><br><br><h3>Responsibilities:</h3><ul><li>Design and implement LLM/VLM-driven autolabeling systems to optimize data annotation workflows and reduce manual effort.</li><li>Architect and implement scalable training data pipelines for diverse deep learning models (eg., perception, planning).</li><li>Develop version-controlled datasets with efficient storage and retrieval mechanisms to ensure data integrity and accessibility.</li><li>Create visualization and analysis tools to monitor model performance and dataset quality.</li><li>Develop automation for continuous integration and deployment of updated models, ensuring streamlined updates and reliability.</li></ul><h3>Required Skills:</h3><ul><li>Pursuing M.S or PhD in Computer Science, Mathematics, AI/ML, or related field.</li><li>1+ years of hands-on experience in machine learning (e.g., deep learning, NLP) or infrastructure engineering.</li><li>Proficiency in Python, with strong experience in pandas, NumPy, and SQL (writing efficient queries).</li></ul><h3>Preferred Skills:</h3><ul><li>Experience with ML frameworks (e.g., PyTorch) and infrastructure tools (CI/CD, cloud platforms).</li><li>Knowledge of data engineering best practices (e.g., ETL, data versioning, metadata management) and containerization tools (Docker, Kubernetes).</li></ul><br>

Software Engineer Intern - Machine Learning Infrastructure & Data

<div>As a Software Engineer Intern in Mapping &amp; Localization at our Santa Clara HQ, you will be at the forefront of developing groundbreaking LiDAR-based algorithms essential for autonomous vehicles. Under the mentorship of Yibo Chen, you will be immersed in a high-energy, innovative environment that challenges the limits of autonomous mobility. This role offers the unique opportunity to turn advanced theoretical concepts into real-world applications, making an impactful contribution to the future of transportation.</div><br><br><h3>Responsibilities:</h3><ul><li>LiDAR Algorithm Development: Design, develop, and optimize cutting-edge LiDAR-based localization and mapping algorithms to enhance the autonomy of vehicles.</li><li>Map Support: Refine both online and offline map generation algorithms to improve and sustain localization precision.</li><li>Map Interface Enhancement: Advance the functionality and user experience of the LiDAR map interface, focusing on the robust management of various map versions.</li><li>Sensor Fusion Development: Skillfully merge LiDAR data with other sensory inputs (e.g., GPS, IMU, cameras) to devise integrated, real-time mapping and localization solutions.</li><li> Continue to grow within the team, taking on more complex projects and pushing the boundaries of autonomous vehicle technology.</li></ul><h3>Required Skills:</h3><ul><li>Education: MS or PhD in Computer Science, Electrical Engineering, Robotics, or a related discipline.</li><li>Technical Experience: Proven project involvement in LiDAR-based localization and mapping within autonomous vehicles or robotics.</li><li>Sensor Fusion Expertise: Deep understanding of integrating various sensors like LiDAR, GPS, IMU, and camera data.</li><li>Software Proficiency: Solid experience in C++ and ROS.</li><li>Communication: Exceptional ability to communicate complex technical details effectively across multidisciplinary teams.</li><li>concepts to non-technical team members.</li></ul><h3>Preferred Skills:</h3><ul><li>Experience with Gaussian splatting/NeRF is a plus.</li><li>Experience with deep learning techniques applied to localization and mapping is a plus.</li></ul><br>

Software Engineer Intern - Mapping & Localization

<div>Excited to contribute to safe autonomous driving? This internship at Plus offers a unique opportunity to learn and advance state-of-the-art research on high-assurance occupancy map generation for end-to-end L4 self-driving vehicles.</div><div>Using cutting-edge transformer-based architectures, you’ll explore recent advances in the field and develop a unified vision- and signal-based multi-frame occupancy map generation and forecasting model. Collaborating with experienced perception, prediction, and planning engineers and researchers at Plus, you’ll help design model architectures and build pipelines to train and evaluate models on large-scale datasets.</div><br><br><h3>Responsibilities:</h3><ul><li>Develop multi-modal occupancy map generation and forecasting models </li><li>Develop pipeline to generate data, train, evaluate, and optimize deep learning models</li><li>Contribute to real-time deployment, simulation testing, and research publications</li></ul><h3>Required Skills:</h3><ul><li>Pursuing MS or PhD in CS, EE, mathematics, statistics or related field</li><li>Thorough understanding of deep learning principles and familiarity with perception, prediction and planning models</li><li>Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.</li><li>Experience with computer vision and sensor-fusion techniques</li><li>Strong analytical and problem-solving skills.</li></ul><h3>Preferred Skills:</h3><ul><li>Past experience in designing and training models on autonomous driving data</li><li>Familiarity with publicly available autonomous driving benchmarks</li><li>Publication record in relevant venues (e.g., CVPR, ICLR, ICCV, ECCV, NeurIPS)</li><li>Knowledge of robotics and motion planning algorithms is a plus.</li><li>Hands-on experience with simulators like CARLA and AirSim</li></ul><br>

Research Engineer Intern - Perception, Multi-Modal Occupancy Map Generation and Forecasting

<div>Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California. Named by Forbes as one of America’s Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus’s open autonomy technology platform is already powering vehicles in commercial use today. Working with one of the largest companies in the U.S., vehicle manufacturers, and others globally, Plus is helping to make driving safer, more comfortable, and more sustainable. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from <a href="https://www.fastcompany.com/90724485/most-innovative-companies-transportation-2022">Fast Company</a>, <a href="https://www.forbes.com/lists/americas-best-startup-employers/?sh=5a95f0cf2ad7">Forbes</a>, <a href="https://www.businessinsider.com/100-people-transforming-business-2021?person=david-liu-delivery">Insider</a>, <a href="https://ces.tech/Innovation-Awards/Honorees/2021/Honorees/P/PlusDrive.aspx">Consumer Electronics Show</a>, <a href="https://www.auvsi.org/our-impact/auvsi-xcellence-awards">AUVSI</a>, and others. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.</div><div><br></div><div>We are seeking a software engineer intern with expertise in deep learning, statistical sampling, and vehicle behavior modeling. In this role, you will apply data-driven techniques to develop a robust framework for evaluating and verifying data-driven scenario generation methods for autonomous vehicle testing. You will collaborate with cross-functional teams to advance autonomous driving technology and drive innovation in simulation and model development.</div><br><br><h3>Responsibilities:</h3><ul><li>Design and develop data-driven methods to generate realistic and challenging edge-case scenarios.</li><li>Analyze the fidelity, diversity, and coverage of generated scenarios in comparison to actual driving data using statistical metrics, domain-specific criteria, and simulation-based verification. </li><li>Collaborate with cross-disciplinary teams to improve scenario generation algorithms, smart agent models, as well as traffic generation mechanism.</li></ul><h3>Required Skills </h3><ul><li>Pursuing MS or PhD in mechanical, electrical, aerospace engineering, physics, computer science, or a related field.</li><li>Strong understanding of domain randomization, probabilistic and statistical methods. </li><li>Experience with autonomous vehicle or robotics simulation and related concepts.</li><li>Background in autonomous vehicle prediction, planning, control, and simulation tools.</li><li>Excellent communication skills and the ability to collaborate effectively in a team setting.</li></ul><h3>Preferred Skills: </h3><ul><li>Experience in simulation fidelity verification and edge-case generation for autonomous vehicle testing.</li><li>Familiarity with state-of-the-art deep learning models and their applications.</li></ul><br><div><b>Your opportunities joining Plus</b></div><div>Work, learn and grow in a highly future-oriented, innovative and dynamic field.</div><div>Wide range of opportunities for personal and professional development.</div><div>Catered free lunch, unlimited snacks and beverages.</div><div>Highly competitive salary and benefits package, including 401(k) plan.</div>

Software Engineer Intern- Simulation

<div><span style="font-size:11pt;">As a Controls Software Intern, you will deliver critical improvements and features for our autonomy stack. You will be working alongside engineers, research scientists, and domain experts to build optimal and data driven controls to realize planned vehicle trajectories.</span></div><br><br><h3>Responsibilities: </h3><ul><li>Design, implement, and enhance control algorithms by integrating MPC with learning-based approaches.</li><li>Migrate the Control QP solver and benchmark its performance.</li><li>Develop online adaptation techniques to manage vehicle behavior drift.</li><li>Analyze trade-offs between online learning and offline model updates.</li><li>Evaluate simulation capabilities by designing the regression test suite.</li></ul><h3>Required Skills: </h3><ul><li>Pursuing MS or PhD in Robotics, Computer Science, or related field.</li><li>Hands-on application skills in any of the following areas: adaptive and nonlinear control, MPC &amp; optimal control, robust control, data-driven control, Kalman filters, etc.</li><li>Strong foundation in motion control and modern neural network architectures, with expertise in at least one application area, such as IL/RL, time-series analysis, or dynamic system modeling.</li><li>Skilled in debugging robotic systems within Linux environments, with strong programming expertise in Python and C++</li></ul><h3>Preferred Skills:</h3><ul><li>Experience with Imitation Learning, Reinforcement Learning, modern Neural Network architectures.</li><li>Experience in model development &amp; training with modern frameworks (e.g., PyTorch).</li></ul><br>

Software Engineer Intern- Controls

<div>Ready to get hands-on with real-world, large-scale data challenges? We’re seeking a Software Engineer Intern to help build and improve an event mining framework used for uncovering key insights in massive datasets. In this internship, you will work with our dynamic team to scale our systems, harness the power of the cloud, and leverage Spark to make our data processing pipelines faster and more efficient.</div><div>Expect to dive into distributed computing, and cloud technologies while closely collaborating with experienced engineers. You’ll have the chance to see your work directly impact a high-growth environment, all while learning best practices in modern data engineering.</div><br><br><h3>Responsibilities:</h3><ul><li>Learn &amp; Contribute: Get up to speed on our existing event mining framework, pipelines, and tools. </li><li>Build &amp; Scale: Assist in enhancing the framework to handle larger datasets and more complex workloads. Collaborate on implementing Spark-based solutions in the cloud for better scalability.</li><li>Migrate &amp; Modernize: Support migrating components from our legacy system into the newly developed infrastructure, ensuring minimal disruption and improved functionality.</li><li>Research &amp; Experiment: Help mine interesting events in the dataset and explore new ways to expand our framework’s capabilities.</li></ul><h3>Required Skills:</h3><ul><li>Proficiency in Python</li><li>Strong analytical thinking and eagerness to learn</li><li>Basic knowledge of cloud platforms (AWS, Azure, or GCP)</li></ul><h3>Preferred Skills:</h3><ul><li>Experience with Spark or other big data technologies</li></ul><br>

Software Engineer Intern - Data Infrastructure

<div>We’re seeking an enthusiastic and driven Simulation/ML Engineer Intern to join our team and work on an exciting project that blends Large Language Models (LLMs) with simulation technology. In this role, you’ll help develop a tool that can generate realistic, scalable simulation scenarios from text and real road data. This is a fantastic opportunity to apply your machine learning and robotics knowledge to real-world challenges, while working on a project that will revolutionize how simulation scenarios are created, with minimal manual effort. You’ll be at the forefront of innovation, helping us expand our capabilities in testing autonomous vehicles using large-scale simulation with LLM-driven solutions.</div><br><br><h3>Responsibilities:</h3><ul><li>Gain a strong understanding of our simulation systems and data infrastructure</li><li>Develop machine learning models to generate realistic simulation scenarios from text, images and other types of recorded data</li><li>Collaborate with the simulation teams to refine and optimize the generated scenarios</li><li>Test and improve model performance based on ground truth data</li><li>Contribute to integrating the tool into existing simulation workflows</li></ul><h3>Required Skills:</h3><ul><li>Currently pursuing or recently graduated with a degree in Computer Science, Robotics, Machine Learning, AI, or a related field</li><li>1+ years of experience in machine learning (Deep Learning, NLP, etc.)</li><li>Experience with simulation frameworks (e.g., Gazebo, V-REP, Unity) and robotics applications</li><li>Strong programming skills in Python and familiarity with machine learning libraries (TensorFlow, PyTorch, etc.)</li></ul><h3>Preferred Skills:</h3><ul><li>Experience working with Large Language Models (LLMs) and multimodal learning (text + images)</li><li>Familiarity with scenario generation and counterfactual simulation techniques</li><li>Knowledge of text-to-image generation and data preparation for machine learning in simulation environments</li></ul><br>

Software Engineer Intern - ML Simulation

<div><span style="font-size:11pt;">As a Research Engineer Intern – Vision-Language Models for E2E Autonomous Driving, you’ll explore the potential of vision-language models to enhance reasoning, scene understanding, and interpretability in end-to-end autonomous driving. You’ll have the opportunity to work towards a publication at a top tier venue by contributing to key areas of model development, including curating both real-world and synthetic training data, fine-tuning foundational vision-language models, and designing robust evaluation frameworks.</span></div><br><br><h3>Responsibilities:</h3><ul><li>Lead model development efforts using vision-language models for end-to-end autonomous driving systems</li><li>Curate high-quality training datasets from both real-world trips and synthetic sources</li><li>Optimize model architectures and fine-tune pre-trained foundational models to enhance performance and adapt to specific challenges</li><li>Design and implement evaluation frameworks to rigorously assess model performance in real-world driving environments</li></ul><h3>Required Skills:</h3><ul><li>Pursuing MS or PhD in CS, EE, mathematics, statistics or related field</li><li>Thorough understanding of deep learning principles and familiarity with vision language models</li><li>2-3 years experience with implementing and training deep learning models in at least one deep learning framework (PyTorch, Tensorflow, Jax)</li></ul><h3>Preferred Skills: </h3><ul><li>Past experiences in projects involving design, training or fine-tuning of vision language models and familiarity with knowledge distillation, quantization, vLLM</li><li>Past experiences in deep learning projects related to autonomous driving </li><li>Publication record in relevant venues (CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH)</li></ul><br>

Research Engineer Intern - Perception, Vision Language Models

<div>This exciting opportunity within the Systems Engineering team at Plus will focus on the End to End ADAS/AV feature engineering for Class 8 Semi trucks. The ADAS/AV Systems Engineer is expected to perform cross functional tasks which span the complete Automotive Engineering V-Model from Requirements Development to Verification and Validation for a suite of Driving Automation features developed by Plus.</div><br><br><h3>Responsibilities: </h3><ul><li>Work with software developers, systems engineers and product managers to define System Requirements for SAE L0 - SAE L4 driving automation and Safety features </li><li>Decompose external stakeholder Requirements/Regulations/Legislations into Sub-system requirements to be implemented on the target platform </li><li>Design creative test cases to verify and validate the System Software running on Bench and Vehicle platforms Execute the Verification and Validation plans on test platforms </li><li>Document requirements &amp; test cases in requirements management tools such as JAMA/Polarion </li><li>Generate automated methods for requirements and test case reporting to stakeholders </li><li>Communicate the test results to relevant Stakeholders </li></ul><h3>Required Skills: </h3><ul><li>Pursuing Masters or PhD student in Electrical Engineering/ Systems Engineering/ Robotics </li><li>Strong organizational and communication skills </li><li>Experience with vehicle level Verification &amp; Validation of software for AV, ADAS, powertrain, battery, chassis, etc </li><li>Knowledge of vehicle communication networks/protocols such as CAN </li><li>Previous experience or research with Advanced Driver Assistance Systems (ADAS)/ Autonomous Vehicles Proficiency in reading and understanding Python and C++ code, using linux based tools preferred, but not necessary </li></ul><h3>Preferred Skills:</h3><ul><li> Experience in autonomous technology</li><li> SAE BAJA project experience </li><li> FSAE project experience </li><li> Systems Engineering experience from work or projects </li><li> Previous Software &amp; Systems testing experience </li><li> ADAS Engineering/Validation &amp; Verification Experience </li><li> Vehicle networks: CAN </li><li> Ubuntu, ROS, Linux</li></ul><br>

Systems Engineer Intern - Automotive/Robotics

<div>Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California. Named by Forbes as one of America’s Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus’s open autonomy technology platform is already powering vehicles in commercial use today. Working with one of the largest companies in the U.S., vehicle manufacturers, and others globally, Plus is helping to make driving safer, more comfortable, and more sustainable. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from <a href="https://www.fastcompany.com/90724485/most-innovative-companies-transportation-2022">Fast Company</a>, <a href="https://www.forbes.com/lists/americas-best-startup-employers/?sh=5a95f0cf2ad7">Forbes</a>, <a href="https://www.businessinsider.com/100-people-transforming-business-2021?person=david-liu-delivery">Insider</a>, <a href="https://ces.tech/Innovation-Awards/Honorees/2021/Honorees/P/PlusDrive.aspx">Consumer Electronics Show</a>, <a href="https://www.auvsi.org/our-impact/auvsi-xcellence-awards">AUVSI</a>, and others. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.</div><br><br><h3>Responsibilities:</h3><ul><li>Work closely with our autonomy and runtime teams to improve our redundant on-vehicle platform and autonomous software stack.</li><li>Develop perspectives on where opportunities and gaps might be in our redundant software and hardware strategy with a longer-term horizon in mindIntegrate and optimize performance and robustness of different autonomous software component into redundant on-vehicle platform.</li><li>Design and develop fault detection and fault handling strategies for redundant on-vehicle platform.</li><li>Design and develop validation strategies for redundant on-vehicle platform, including on vehicle testing, Sil and HiL simulation testing.</li><li>Evaluate, integrate and optimize partner middleware into our AD stackOwns or help with driverless operation key features, like mission control, tele assist, etc.</li></ul><h3>Required Skills: </h3><ul><li>Minimum 5+ years of professional experience</li><li> MS or PhD in Computer Science or related field</li><li>Strong programming skills in C++ and Python</li><li>Basic understanding of computer vision and deep learning models</li><li>Hands-on experience of high performance IPC / middleware stack</li><li>Strong analytical skills, especially for performance troubleshooting (e.g. profiling, roofline model)Familiarity with CUDA, OpenCL, OpenVX, Halide or other SIMD programming models.</li><li>Ability to quickly learn and adapt to new technology</li><li>Ability to work on large code bases and a fast growing environment</li><li>Strong communication skills</li><li>Familiar with Linux system and basic kernel tuning, network tuning, device tree tuning, timesync, etc.</li><li>Comfortable with On-vehicle troubleshooting and performance profiling</li></ul><h3>Preferred Skills</h3><ul><li>Experience with CV pipeline and model inference on edge platforms</li><li>Experience with ROS2 and DDS</li><li>Experience with automotive HPC SoCs (Nvidia preferred)</li><li>Experience with QNX</li></ul><br><div><b>Your opportunities joining Plus</b></div><div>Work, learn and grow in a highly future-oriented, innovative and dynamic field.</div><div>Wide range of opportunities for personal and professional development.</div><div>Catered free lunch, unlimited snacks and beverages.</div><div>Highly competitive salary and benefits package, including 401(k) plan.</div>

Senior/Staff Software Engineer, Runtime

<div><span style="font-size:11pt;">We are seeking a highly motivated Research Intern to contribute to the development of next-generation end-to-end autonomous driving (E2E-AD) models inspired by recent advancements such as UniAD, VAD, and multi-task learning approaches. This internship provides a unique opportunity to work on unified, perception-to-planning architectures that integrate vision, sensor fusion, and control in a data-driven manner. The intern will work closely with researchers and engineers to develop models that enable self-driving vehicles to perceive, predict, and plan efficiently in real-world environments.</span></div><br><br><h3>Responsibilities: </h3><ul><li>Conduct research on end-to-end autonomous driving architectures, focusing on unified perception, prediction, and planning models.</li><li>Implement and optimize multi-task learning approaches for driving tasks, including object detection, motion prediction, and trajectory planning.</li><li>Work with sensor fusion techniques combining multi-modal inputs (e.g., camera, LiDAR, radar) to improve perception and decision-making.</li><li>Develop spatio-temporal and motion planning transformers for holistic driving scene understanding</li><li>Train, fine-tune, and evaluate models using large-scale autonomous driving datasets and internal Plus datasets</li><li>Utilize simulators to test and validate models in diverse driving scenarios.</li><li>Optimize real-time inference and deployment of driving models for efficient execution on edge devices.</li><li>Contribute to research publications and open-source implementations of E2E-AD models.</li></ul><h3>Required Skills:</h3><ul><li>Pursuing MS or PhD in CS, EE, mathematics, statistics or related field</li><li>Thorough understanding of deep learning principles and familiarity with perception, prediction and planning models</li><li>Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.</li><li>Experience with computer vision and sensor processing techniques.</li><li>Strong analytical and problem-solving skills.</li></ul><h3>Preferred Skills: </h3><ul><li>Past experiences in projects involving design, training or fine-tuning of various autonomous driving related models</li><li>Familiarity with autonomous driving datasets (e.g., nuScenes, Waymo).</li><li>Hands-on experience with simulators like CARLA, AirSim, or equivalent.</li><li>Knowledge of robotics and motion planning algorithms is a plus.</li><li>Publication record in relevant venues (CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH)</li></ul><br>

Research Engineer Intern - Perception, E2E Autonomous Driving

<div>We are seeking a Software Engineer Intern to join our team and contribute to the development of externally shareable metrics dashboards. This project aims to replace our current dashboard system with a more suitable solution that can facilitate the sharing of dashboards with our customers. The intern will be responsible for various aspects of this project, including data processing, data synchronization, metrics calculation, frontend chart development, data security, and access control.</div><br><br><h3>Responsibilities:</h3><ul><li>Data Processing and Synchronization: Assist in the processing and synchronization of data to ensure that the dashboards are up-to-date and accurate.</li><li>Metrics Calculation: Develop or contribute to the development of metrics calculation algorithms to ensure that the dashboards provide meaningful insights.</li><li>Frontend Chart Development: Develop and maintain frontend charts using modern web technologies to ensure the dashboards are visually appealing and user-friendly.</li><li>Data Security and Access Control: Implement and maintain data security measures to ensure that the dashboards are secure and that access is controlled appropriately.</li><li>Collaboration and Communication: Work closely with the team and stakeholders to ensure clear communication and smooth project execution.</li></ul><h3>Required Skills:</h3><ul><li>MS or PhD student in Computer Science, Data Science, or a related field.</li><li>Demonstrated experience in software development, preferably in a web environment.</li><li>Proficiency in programming languages such as Python or JavaScript.</li><li>Knowledge of data visualization tools (e.g., Superset, Tableau, or other similar platforms).</li><li>Familiarity with web development frameworks (e.g., React, Angular, or <a href="http://Vue.js">Vue.js</a>).</li><li>Understanding of data security and access control principles.</li><li>Strong problem-solving and analytical skills.</li><li>Excellent communication and teamwork skills.</li><li>Ability to work independently and as part of a team.</li></ul><br>

Software Engineer Intern - Data

<div>You will develop and optimize the core infrastructure that facilitates reliable, low-latency execution of on-vehicle robotics software. Your mission extends beyond building a rock-solid foundation for autonomous driving — you will also equip engineers with the tools needed to analyze system behavior, identify performance bottlenecks, and enhance robustness. </div><div><br></div><div>In this role, you will contribute to existing frameworks, libraries, and tools while also designing and implementing new components across various mission-critical domains.</div><br><br><h3>Responsibilities:</h3><ul><li>Design and optimize low-latency interprocess communication and data flow monitoring.</li><li>Develop high-performance event logging and structured telemetry.</li><li>Implement safety-enhanced memory allocators and efficient memory provisioning policies.</li><li>Build lock-free data structures and algorithms to support real-time system requirements.</li><li>Work on network communication and coherency protocols.</li><li>Develop on-the-fly component health monitoring and rapid response mechanisms for critical events.</li><li>Manage on-vehicle configurations and system state validation.</li><li>Optimize low-level OS interactions and fine-tune system performance.</li></ul><h3>Required Skills:</h3><ul><li>BS in Computer Science, Electrical Engineering, or related field.</li><li>Proficiency in C++14 or later.</li><li>Strong understanding of Linux development tools, including build systems, compilers, debuggers, and performance analyzers.</li><li>Excellent written and verbal communication skills.</li><li>Proactive problem-solving mindset: ability to identify, propose, and implement solutions.</li></ul><h3>Preferred Skills:</h3><ul><li>Experience in writing, debugging, and profiling multithreaded C++ applications.</li><li>Familiarity with robotics-related libraries such as ROS.</li><li>Knowledge of real-time OS, database internals, network programming, GPGPU, or robotics.</li></ul><h3>Salary Range:</h3><ul><li>$120,000 - $170,000 a year</li></ul><br><div><span style="font-size:15px;">Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.</span></div>

Software Engineer, C++ Runtime Platform

<div>Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California. Named by Forbes as one of America’s Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus’s open autonomy technology platform is already powering vehicles in commercial use today. Working with one of the largest companies in the U.S., vehicle manufacturers, and others globally, Plus is helping to make driving safer, more comfortable, and more sustainable. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from <a href="https://www.fastcompany.com/90724485/most-innovative-companies-transportation-2022">Fast Company</a>, <a href="https://www.forbes.com/lists/americas-best-startup-employers/?sh=5a95f0cf2ad7">Forbes</a>, <a href="https://www.businessinsider.com/100-people-transforming-business-2021?person=david-liu-delivery">Insider</a>, <a href="https://ces.tech/Innovation-Awards/Honorees/2021/Honorees/P/PlusDrive.aspx">Consumer Electronics Show</a>, <a href="https://www.auvsi.org/our-impact/auvsi-xcellence-awards">AUVSI</a>, and others. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.</div><div><br></div><div><span style="font-size:11pt;">As a Senior Software Engineer on our controls team, you will deliver mission-critical improvements and new features for our autonomy motion planning and control stack. You will be a crucial part of our team, working alongside engineers, research scientists, and domain experts to build optimal and data driven controls to realize planned vehicle trajectories.</span></div><div><br></div><div><span style="font-size:11pt;">Your responsibilities will include the development of machine-learning vehicle models and learning based control policies, leveraging the extensive data we collect every day across our autonomous trucking fleet. You will also have the opportunities to solve real-world autonomy system challenges by participating in vehicle performance analysis, tuning, and troubleshooting. You will contribute significantly to our commitment to pushing the frontiers of technological innovation in autonomy.</span></div><br><br><h3>Responsibilities</h3><ul><li>Design, implement, and enhance control algorithms by developing frameworks that integrate MPC with learning based approaches (DL/RL/IL).</li><li>Responsible for the conceptual design and implementation of data driven controller by working cross-functionally with domain experts and other stakeholders by specifying meaningful insights for solving trajectory tracking problems.</li><li>Develop tools and infrastructure for dataset generation, training, and evaluation to drive advancements in online control optimization.</li><li>Ensure all model development keeps a real-time focus and operates efficiently in compute-constrained environments.</li><li>Take a lead role in the planning and execution of vehicle testing in the offline simulation environment and on public roads to systematically improve performance, as well as performing root cause analysis and debugging to address any issues.</li><li>Track and incorporate the latest multidisciplinary research advancements in a fast-moving field.</li></ul><h3>Required Skills </h3><ul><li>Master's or PhD degree in Mechanical Engineering, Robotics, Aerospace Engineering, Computer Science, or related field.</li><li>2+ years of MLE experience or industry experience designing and developing for robotics applications. </li><li>Strong foundation in motion control and modern neural network architectures, with expertise in at least one application area, such as IL/RL, time-series analysis, or dynamic system modeling.</li><li>Skilled in debugging robotic systems within Linux environments, with strong programming expertise in Python and C++.</li><li>Experience in model development &amp; training with modern frameworks (e.g. PyTorch).</li><li>Hands-on familiarity with data ingestion and processing pipelines.</li></ul><h3>Preferred Skills </h3><ul><li>Hands-on application skills in any of the following areas: adaptive and nonlinear control, MPC &amp; optimal control, robust control, data-driven control, Kalman filters, etc. </li><li>Have a solid understanding of AV control, vehicle dynamics and drive-by-wire systems. </li><li>Proven expertise with Application, Verification and Validation for ADAS / autonomous driving features and functions.</li><li>Experience implementing Safety guarantees for dynamical systems.</li></ul><br><div><b>Your opportunities joining Plus</b></div><div>Work, learn and grow in a highly future-oriented, innovative and dynamic field.</div><div>Wide range of opportunities for personal and professional development.</div><div>Catered free lunch, unlimited snacks and beverages.</div><div>Highly competitive salary and benefits package, including 401(k) plan.</div>

Senior Software Engineer, Controls

<div>Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California. Named by Forbes as one of America’s Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus’s open autonomy technology platform is already powering vehicles in commercial use today. Working with one of the largest companies in the U.S., vehicle manufacturers, and others globally, Plus is helping to make driving safer, more comfortable, and more sustainable. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from <a href="https://www.fastcompany.com/90724485/most-innovative-companies-transportation-2022">Fast Company</a>, <a href="https://www.forbes.com/lists/americas-best-startup-employers/?sh=5a95f0cf2ad7">Forbes</a>, <a href="https://www.businessinsider.com/100-people-transforming-business-2021?person=david-liu-delivery">Insider</a>, <a href="https://ces.tech/Innovation-Awards/Honorees/2021/Honorees/P/PlusDrive.aspx">Consumer Electronics Show</a>, <a href="https://www.auvsi.org/our-impact/auvsi-xcellence-awards">AUVSI</a>, and others. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.</div><div><br></div><div><span style="font-size:10.5pt;">As a Senior Embedded Software Engineer at Plus, you will be part of the runtime team which is responsible for the entire on-vehicle AD system integration, optimization, and core feature development. In this role, you will collaborate cross-functionally to define and implement safety critical components in Embedded Real-Time Domains. You will also have the chance to build test infra and perform on-vehicle tests for the AD system.</span></div><br><br><h3>Responsibilities:</h3><ul><li>Implement requirements and designs for automotive software components related to communication, diagnostics, cybersecurity, operating systems, or bootloaders or AUTOSAR.</li><li>Work in RTOS, linux kernel, and C/C++ SW stack layers responsible for our functional safety and security concept.</li><li>Integrate RTOS components, conduct profiling, tracing, and systematic error analysis.</li><li>Configure, generate, and integrate AUTOSAR modules on different microcontroller platforms.</li><li>Create and validate AUTOSAR components in compliance with stringent AUTOSAR guidelines within an ASIL D environment. Actively engage in code and design reviews, ensuring adherence to best practices and architectural guidelines.</li><li>Expected to do some on-vehicle integration tests for the embedded system and the AD stacks.</li><li>Stay up-to-date with industry trends, emerging technologies, and advancements in SOC embedded systems.</li><li>Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.</li><li>Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.</li></ul><h3>Required Skills:</h3><ul><li>Masters Degree in Computer Science, Mechatronics, Electrical Engineering, or a related field.</li><li>Self motivated, passion for autonomous driving.</li><li>Knowledge of real-time operating systems and embedded software best practices.</li><li>Proficient in Linux and GIT development workflow.</li><li>At least 3 years of hands-on experience in RTOS, including AUTOSAR and FreeRTOS.</li><li>Experience with bringing up AUTOSAR BSW Modules on new microcontroller platforms.</li><li>Good understanding of both Classic &amp; Adaptive AUTOSAR Architecture and Development Workflow, preferably using Vector tools.</li><li>Proficiency in embedded C and experience in ASPICE embedded software development within the automotive environment using C/C++ , Exposure to ISO 26262 and MISRA.</li><li>Familiarity with embedded SW debugging tools (Lauterbach, ISystem, etc.), Vector tools (CANoe, etc.)Clear understanding of communication protocols in automotive like CAN/CAN-FD, LIN, SPI, Ethernet, and diagnostic protocols like UDS and J1939.</li><li>Experience in application layer development in a real-time safety critical environment.</li><li>Understanding of different Level of SW testing and experience in building automation testing infrastructure.</li><li>Proven teamwork, communication, analytical, and systematic working skills.</li></ul><h3>Preferred Skills: </h3><ul><li>Understanding of autonomous driving software stack.</li><li>Basic understanding of hardware / electronics.</li><li>Experience in vehicle Ethernet, DoIP, and UDS.</li><li>Experience with developing Linux device drivers.</li><li>Experience with high performance SOC embedded systems, IPC for processors and hardware accelerators / DSP programming.</li></ul><br><div><b>Your opportunities joining Plus</b></div><div>Work, learn and grow in a highly future-oriented, innovative and dynamic field.</div><div>Wide range of opportunities for personal and professional development.</div><div>Catered free lunch, unlimited snacks and beverages.</div><div>Highly competitive salary and benefits package, including 401(k) plan.</div>

Senior Embedded Software Engineer

<div>Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California. Named by Forbes as one of America’s Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus’s open autonomy technology platform is already powering vehicles in commercial use today. Working with one of the largest companies in the U.S., vehicle manufacturers, and others globally, Plus is helping to make driving safer, more comfortable, and more sustainable. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from <a href="https://www.fastcompany.com/90724485/most-innovative-companies-transportation-2022">Fast Company</a>, <a href="https://www.forbes.com/lists/americas-best-startup-employers/?sh=5a95f0cf2ad7">Forbes</a>, <a href="https://www.businessinsider.com/100-people-transforming-business-2021?person=david-liu-delivery">Insider</a>, <a href="https://ces.tech/Innovation-Awards/Honorees/2021/Honorees/P/PlusDrive.aspx">Consumer Electronics Show</a>, <a href="https://www.auvsi.org/our-impact/auvsi-xcellence-awards">AUVSI</a>, and others. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.</div><div><br></div><div><span style="font-size:15px;">As a Vehicle Operations Specialist at Plus, you will play a key role in operations testing missions of all types, reporting through troubleshooting issues and issue escalation processes, collaborating closely with engineering teams through various forums, traveling to different parts of the US and the world, and developing your personal strengths through Operations-focused projects. You’ll contribute to the operations team in impactful ways and be a part of an innovative team.</span></div><br><br><h3>Responsibilities:</h3><ul><li>Properly set up and execute complex missions.</li><li>Provide consistent feedback about test results at an articulate level on all in-house applications and at times, in the field. </li><li>Provide objective detail-oriented mission debriefs to the engineering teams by following debrief feedback classification and testing processes. </li><li>Effectively and efficiently communicate troubleshooting and issue escalation processes through a support system with a strong understanding of appropriate testing parameters.</li><li>Correctly follow existing and newly implemented operational processes to detail.</li><li>Proactive communication with engineering teams on assigned missions.</li><li>Independently operate our vehicles and various systems on both closed-course and public roads in different states, countries, and continents. </li><li>Navigate public interactions during testing.</li><li>Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.</li></ul><h3>Required Skills: </h3><ul><li>Previous experience with structured AV testing, development, release, and production testing mission types in the right seat role.</li><li>Comfortable with Linux system usage at an autonomous testing operational level.</li><li>Ability to travel for projects approximately 25% of the time during a calendar year.</li><li>Comfort with organizational tools like Slack, Confluence, Google Docs, Google Slides, etc. </li><li>Responsible driver with a clean driving history.</li><li>At least 5 years’ experience of driving on US roads.</li><li>BS/BA degree or equivalent preferred.</li></ul><h3>Preferred Skills: </h3><ul><li>Experience with autonomous testing in both the right and left seat roles.</li><li>Basic knowledge of JAMA.</li><li>Basic understanding of how to triage issues for various types of AV testing.</li></ul><br><div><b>Your opportunities joining Plus</b></div><div>Work, learn and grow in a highly future-oriented, innovative and dynamic field.</div><div>Wide range of opportunities for personal and professional development.</div><div>Catered free lunch, unlimited snacks and beverages.</div><div>Highly competitive salary and benefits package, including 401(k) plan.</div>

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