Autonomy System Validation Engineer - Autonomous Driving
About Applied Intuition
Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the ADAS/AD toolchain, Vehicle OS, and autonomy stack to help customers build intelligent systems, create next-generation experiences, and shorten time to market. 18 of the top 20 global automakers trust Applied Intuition’s solutions to drive the production of modern vehicles. Applied Intuition serves the automotive, trucking, construction, mining, agriculture, and defense industries and is headquartered in Mountain View, CA, with offices in San Diego, CA, Ft. Walton Beach, FL, Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com.
We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: this is not applicable for EpiSci roles).
About the role
We are looking for an autonomy system validation engineer focused on on-road Autonomy with a background in ADAS, and/or autonomous driving. This engineer will work on system validation efforts for autonomy modules and support autonomy performance evaluation. This engineer will play a critical role in shaping the technical direction of this project in the automotive industry space.
At Applied Intuition, you will:
- Develop and execute the system validation strategy for one or more autonomy modules (perception, planning, prediction, localization) for L4 trucking
- Build comprehensive test plans and specifications across testing modalities including simulation and real world testing
- Work closely with systems engineering teams on validation test plans to ensure completeness and coverage across ODD and behavior
- Develop and implement strategies for analyzing real world to measure performance and identify challenging and relevant events
- Identify, develop and measure performance metrics and report on performance evaluation
- Identify, build and deploy frameworks/pipelines to enable metric generation and evaluation
- Trace identified metrics to the safety case tree
- Support generation of the safety case and release recommendation reports
We're looking for someone who has:
- 5+ years of experience in ADAS or Autonomous driving
- MS/BS degree in Robotics, Aerospace, Computer Science, or equivalent required
- Experience with ADAS, autonomous systems and robotics
- Knowledge of existing standards and regulations relevant in the automotive industry, esp. ISO 26262, ISO 21448, UL4600
- Knowledge of existing standards and regulations relevant in the automotive industry
- Knowledge of architectural design of ADAS/AV systems
- Experience with scripting and simulation tools
- Mastery of strong collaboration with other teams, customers, and companies to ensure high quality deliverables
Nice to have:
- Prior work in either autonomous vehicles or ADAS or aerospace
- Project management and leadership experience in the AV industry
- Experience in the AV and robotics fields
Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.
Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.
Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $118,000 - $220,000 USD annually.
Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.
Applied Intuition
Applied Intuition is a vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, Applied ...