<div><p><span style="font-family:arial , helvetica , sans-serif;font-size:12pt;"><strong>About Harbinger</strong></span></p><p><span style="font-family:arial , helvetica , sans-serif;font-size:12pt;">Harbinger is an American commercial electric vehicle (EV) company on a mission to transform an industry starving for innovation. Harbinger’s best-in-class team of EV, battery, and drivetrain experts have pooled their deep experience to bring a first-of-its-kind EV platform to support the growing demand for medium-duty EVs and Hybrids. Harbinger: Familiar Form, Revolutionary Foundation.</span></p></div><p> </p><p><strong>We are seeking a highly skilled Senior Deep Learning Engineer to drive the development and deployment of advanced perception models for Advanced Driver Assistance Systems (ADAS). The successful candidate will play a key role in designing cutting-edge neural network architectures, optimizing model performance, and ensuring reliable deployment on embedded platforms. This position requires a balance of deep technical expertise, strong analytical thinking, and cross-functional collaboration. This role would sit in Mountain View, CA with PhantomAI, Harbinger's ADAS division. </strong></p><p><strong><br>Responsibilities</strong></p><ul><li>Design and implement advanced deep learning architectures to enhance perception capabilities within ADAS systems.</li><li>Maintain and continuously improve existing models by optimizing performance, addressing issues, and refining architecture and algorithms.</li><li>Perform detailed root cause analysis of production issues and develop sustainable, high-quality solutions.</li><li>Optimize model performance with a focus on latency, efficiency, and resource utilization for real-time embedded deployment.</li><li>Integrate and validate deep learning algorithms on automotive-grade hardware and embedded SoCs.</li><li>Collaborate closely with data engineering, data annotation, and platform engineering teams to ensure smooth data flow and seamless model integration.</li><li>Provide regular updates and technical reports on model development, maintenance progress, and performance metrics to management.</li></ul><p><strong><br>Required Qualifications</strong></p><ul><li>5+ years of professional experience developing, training, validating, and deploying deep learning-based perception models for ADAS or related computer vision applications.</li><li>In-depth understanding of training and inference pipelines, including data loading, augmentation, and loss function design.</li><li>Advanced degree (M.S. or Ph.D.) in Computer Vision, Robotics, Machine Learning, or a closely related discipline, or equivalent industry experience.</li><li>Strong proficiency in Python and a deep understanding of software design principles and development best practices.</li><li>Expertise in PyTorch (preferred) or TensorFlow for large-scale model development and experimentation.</li><li>Practical experience with data pipelines, distributed training, and machine learning experiment management tools.</li><li>Proven ability to work effectively in a collaborative, cross-functional team environment.</li></ul><p><strong><br>Preferred Qualifications</strong></p><ul><li>Comprehensive understanding of machine learning algorithms, including classification, regression, and clustering methods.</li><li>Experience deploying and optimizing models for embedded or automotive SoCs (e.g., NVIDIA Drive, TI TDA4, Qualcomm Snapdragon).</li><li>Proficiency in model optimization techniques such as quantization, pruning, and knowledge distillation.</li><li>Doctorate (Ph.D.) in Computer Science, Artificial Intelligence, or related field is a plus.</li><li>Strong programming experience in Python and/or C++ within Linux development environments.</li><li>Familiarity with automotive perception workflows, datasets, and evaluation frameworks (e.g., KITTI, Waymo, Euro NCAP)</li></ul><p> </p><div><div><div><div><strong>Key Benefits &amp; Perks:</strong></div><ul><li>Comprehensive Health, Dental &amp; Vision (HDV) – 100% employee covered</li><li>Early-stage Stock Options</li><li>Robust Retirement Savings (401k, HSA, FSA)</li><li>Generous Paid Time Off (PTO) &amp; Parental Leave</li><li>Annual Vacation Bonus</li><li>Wellness &amp; Fertility Benefits</li><li>Cell Phone Stipend</li><li>Complimentary Meals &amp; Stocked Kitchens</li></ul></div><div>California Pay Range</div><div><span>$180,000</span><span>—</span><span>$240,000 USD</span></div></div></div><div><div><span style="font-family:arial , helvetica , sans-serif;font-size:8pt;"><strong>Equal Opportunity</strong></span></div><div><span style="font-family:arial , helvetica , sans-serif;font-size:8pt;">Harbinger is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.</span></div><div> </div><div><span style="font-family:arial , helvetica , sans-serif;font-size:8pt;">Harbinger is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at info@harbingermotors.com.</span></div><div> </div><div><span style="font-family:arial , helvetica , sans-serif;font-size:8pt;"><strong>Candidate Data Privacy</strong></span></div><div><span style="font-family:arial , helvetica , sans-serif;font-size:8pt;">Harbinger may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Harbinger may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.</span></div><div> </div><div><span style="font-family:arial , helvetica , sans-serif;font-size:8pt;">Harbinger may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our HR, legal, and finance teams, and the team(s) with the position(s) for which you are applying; (ii) Harbinger affiliates; and (iii) Harbinger’s service providers, including providers of background checks, staffing services, and cloud services.</span></div><div> </div><div><span style="font-family:arial , helvetica , sans-serif;font-size:8pt;">Harbinger may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.</span></div><div> </div><div><span style="font-family:arial , helvetica , sans-serif;font-size:8pt;">Please note that we are currently not accepting applications from third party application services. Any unsolicited resumes or candidate profiles submitted in response to our job posting shall be considered the property of Harbinger and are not subject to payment of referral or placement fees if any such candidate is later hired by Harbinger unless you have a signed written agreement in place with us which covers the applicable job posting.</span></div><p> </p></div>

<p>Harbinger is a commercial electric vehicle (EV) company on a mission to transform an industry starving for innovation. Harbinger's best-in-class team of EV, battery, and drivetrain experts have pooled their deep experience to support the growing demand for medium-duty EVs. Leveraging a foundation of proprietary, in-house developed vehicle technologies designed specifically for commercial vehicles, Harbinger is bringing a first-of-its-kind EV platform to market, priced for zero acquisition premium.&nbsp;<br />Harbinger: familiar form, revolutionary foundation.</p>

Sr. Computer Vision Engineer (Deep Learning)

<div><p><span><strong>About Harbinger</strong></span></p><p><span>Harbinger is an American commercial electric vehicle (EV) company on a mission to transform an industry starving for innovation. Harbinger’s best-in-class team of EV, battery, and drivetrain experts have pooled their deep experience to bring a first-of-its-kind EV platform to support the growing demand for medium-duty EVs and Hybrids. Harbinger: Familiar Form, Revolutionary Foundation.</span></p></div><p> </p><p><strong>We are seeking a highly skilled Senior Deep Learning Engineer to drive the development and deployment of advanced perception models for Advanced Driver Assistance Systems (ADAS). The successful candidate will play a key role in designing cutting-edge neural network architectures, optimizing model performance, and ensuring reliable deployment on embedded platforms. This position requires a balance of deep technical expertise, strong analytical thinking, and cross-functional collaboration. This role would sit in Mountain View, CA with PhantomAI, Harbinger's ADAS division. </strong></p><p><strong><br />Responsibilities</strong></p><ul><li>Design and implement advanced deep learning architectures to enhance perception capabilities within ADAS systems.</li><li>Maintain and continuously improve existing models by optimizing performance, addressing issues, and refining architecture and algorithms.</li><li>Perform detailed root cause analysis of production issues and develop sustainable, high-quality solutions.</li><li>Optimize model performance with a focus on latency, efficiency, and resource utilization for real-time embedded deployment.</li><li>Integrate and validate deep learning algorithms on automotive-grade hardware and embedded SoCs.</li><li>Collaborate closely with data engineering, data annotation, and platform engineering teams to ensure smooth data flow and seamless model integration.</li><li>Provide regular updates and technical reports on model development, maintenance progress, and performance metrics to management.</li></ul><p><strong><br />Required Qualifications</strong></p><ul><li>5+ years of professional experience developing, training, validating, and deploying deep learning-based perception models for ADAS or related computer vision applications.</li><li>In-depth understanding of training and inference pipelines, including data loading, augmentation, and loss function design.</li><li>Advanced degree (M.S. or Ph.D.) in Computer Vision, Robotics, Machine Learning, or a closely related discipline, or equivalent industry experience.</li><li>Strong proficiency in Python and a deep understanding of software design principles and development best practices.</li><li>Expertise in PyTorch (preferred) or TensorFlow for large-scale model development and experimentation.</li><li>Practical experience with data pipelines, distributed training, and machine learning experiment management tools.</li><li>Proven ability to work effectively in a collaborative, cross-functional team environment.</li></ul><p><strong><br />Preferred Qualifications</strong></p><ul><li>Comprehensive understanding of machine learning algorithms, including classification, regression, and clustering methods.</li><li>Experience deploying and optimizing models for embedded or automotive SoCs (e.g., NVIDIA Drive, TI TDA4, Qualcomm Snapdragon).</li><li>Proficiency in model optimization techniques such as quantization, pruning, and knowledge distillation.</li><li>Doctorate (Ph.D.) in Computer Science, Artificial Intelligence, or related field is a plus.</li><li>Strong programming experience in Python and/or C++ within Linux development environments.</li><li>Familiarity with automotive perception workflows, datasets, and evaluation frameworks (e.g., KITTI, Waymo, Euro NCAP)</li></ul><p> </p><div><div><div><div><strong>Key Benefits &amp; Perks:</strong></div><ul><li>Comprehensive Health, Dental &amp; Vision (HDV) – 100% employee covered</li><li>Early-stage Stock Options</li><li>Robust Retirement Savings (401k, HSA, FSA)</li><li>Generous Paid Time Off (PTO) &amp; Parental Leave</li><li>Annual Vacation Bonus</li><li>Wellness &amp; Fertility Benefits</li><li>Cell Phone Stipend</li><li>Complimentary Meals &amp; Stocked Kitchens</li></ul></div><div>California Pay Range</div><div><span>$180,000</span><span>—</span><span>$240,000 USD</span></div></div></div><div><div><span><strong>Equal Opportunity</strong></span></div><div><span>Harbinger is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.</span></div><div> </div><div><span>Harbinger is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at info@harbingermotors.com.</span></div><div> </div><div><span><strong>Candidate Data Privacy</strong></span></div><div><span>Harbinger may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Harbinger may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.</span></div><div> </div><div><span>Harbinger may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our HR, legal, and finance teams, and the team(s) with the position(s) for which you are applying; (ii) Harbinger affiliates; and (iii) Harbinger’s service providers, including providers of background checks, staffing services, and cloud services.</span></div><div> </div><div><span>Harbinger may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.</span></div><div> </div><div><span>Please note that we are currently not accepting applications from third party application services. Any unsolicited resumes or candidate profiles submitted in response to our job posting shall be considered the property of Harbinger and are not subject to payment of referral or placement fees if any such candidate is later hired by Harbinger unless you have a signed written agreement in place with us which covers the applicable job posting.</span></div><p> </p></div>

Sr. Computer Vision Engineer (Deep Learning)

About the Job

About the Company

Harbinger

Similar Jobs

Senior/Staff Machine Learning Engineer, Planning

Senior/Staff Machine Learning Engineer, Planning

Senior/Staff Machine Learning Engineer, Planning

Senior/Staff Machine Learning Engineer, Planning

Senior Robotics AI Engineer

Senior Robotics AI Engineer

Senior Staff Machine Learning Engineer – Autonomous Driving Foundation Models

Senior Staff Machine Learning Engineer – Autonomous Driving Foundation Models

Senior Machine Learning Engineer - Scene Intelligence

Senior Machine Learning Engineer - Scene Intelligence

Lead Machine Learning Engineer

Lead Machine Learning Engineer

Staff Flight Research Machine Learning Engineer

Staff Flight Research Machine Learning Engineer

Lead ML/Perception Engineer

Lead ML/Perception Engineer

Flight Research Senior Machine Learning Engineer

Flight Research Senior Machine Learning Engineer

Senior Machine Learning Engineer - Perception Detection and Tracking

Senior Machine Learning Engineer - Perception Detection and Tracking