GM
Salary
$189.5K
Hiring from
United States
Work type
Hybrid
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Job Description

DUTIES: Define requirements and metrics for validating perception software to enable safe and comfortable autonomous vehicle operations. Own analysis and characterization of perception systems influencing software development and launch decisions. Prototype and develop simulation-based and road-based testing strategies that support continuous and scaled software release cycles. Combine experience in systems engineering and data analysis to facilitate data driven design validation risk analysis and prioritization decisions. Own roadmaps for developing long-term and stable requirements verification/validation and software solutions to advanced problems over multiple product lifecycles. Mentor team members and facilitate cross-team collaboration to define perception validation strategies for new launches. Hybrid Work Policy - 3 days In-office, 2 days remote - Must be able to report to local office.



REQUIREMENTS: Master’s degree in Mechanical Engineering, Electrical and Computer Engineering, Aerospace Engineering, Computer Science, Data Science, or related field of study. Five (5) years of experience as a Software Engineer, Perception Algorithm Developer Engineer, or related role. Five (5) years of experience in the following: System engineering robotics, systems analysis, data analysis, and statistical analysis. Three (3) years of experience in the following: SQL, Python, C++ for large data sets; Evaluating machine-learned systems and setting acceptance criteria on perception systems and state estimators; Detection and classification metrics including precision recall and footprint overlap; and Vehicle dynamics and deriving requirements based on physics.




Compensation:

• The expected base compensation for this role is $189530 to $189530 Annually.

• Actual base compensation within the identified range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.


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