Join Applied Intuition as an Autonomy Verification Engineer to evaluate and enhance the performance of autonomy modules for L4 trucking.
Posted by employer 6 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
Skills & Technologies
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Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
The Autonomy Verification Engineer at Applied Intuition focuses on evaluating the performance of autonomy systems, particularly in L4 trucking, through the development and execution of validation strategies. Key skills include experience with ADAS, autonomous systems, and proficiency in scripting and simulation tools, alongside a solid understanding of industry standards. This role is ideal for candidates with at least three years of relevant experience and a background in robotics or computer science. The position is part of a rapidly growing company that emphasizes collaboration across teams to ensure high-quality deliverables.
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From the original posting
We are looking for a Autonomy Verification engineer with a background in autonomy, autonomous driving and/or ADAS. This engineer will work on performance evaluation of autonomy at the system and module level. This engineer will play a critical role in shaping the technical direction of this project towards measuring autonomy features and autonomous driving.
Develop and execute the system validation strategy for one or more autonomy modules (perception, planning, prediction, localization) for L4 trucking
Build comprehensive and diverse datasets from simulations and real world data
Work closely with systems engineering teams on validation test plans to ensure completeness and coverage across ODD and behavior
Develop statistical and machine learning models to analyze historical and simulation data for safety performance evaluation.
Identify, develop and measure performance metrics and report on performance evaluation
Identify, build and deploy frameworks/pipelines to enable metric generation and evaluation
Support generation of the safety case and release recommendation reports
3+ years of experience in ADAS or Autonomous driving
MS/BS degree in Robotics, Aerospace, Computer Science, or equivalent required
Experience with scripting and simulation tools
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 architectural design of ADAS/AV systems
Mastery of strong collaboration with other teams, customers, and companies to ensure high quality deliverables
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 field
Fluency in C++ and/or Python
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.
Standard company text repeated across Applied Intuition's postings is omitted here.