POSTING ACTIVE · REQ-06E64 · FY25.Q4

Innovative Autonomous Systems Simulation Leader

[ COMPENSATION RANGE · ANNUAL · BASE ]
$193,000 – $297,000USD
MIDPOINT
$245,000
SPREAD
$104,000
LEVEL
LEAD
§ 01OVERVIEW
Job Title Artificial Intelligence Engineer Job Summary We are seeking a highly skilled Artificial Intelligence Engineer to lead our simulation-based validation efforts for autonomous vehicle development. As a critical member of our team, you will play a key role in shaping the future of our simulation capabilities and ensuring robust validation methods are implemented effectively. Key Responsibilities: • Lead the design, development, and implementation of simulation-based validation strategies for autonomous systems, ensuring safety and performance metrics are met. • Guide and mentor a team of engineers, fostering a culture of innovation and excellence in simulation methodologies. • Define and implement robust validation methods and sophisticated evaluation strategies within simulation frameworks, including the creation of challenging test scenarios and analysis of results at scale. • Collaborate cross-functionally with teams involved in autonomous system development to ensure seamless integration of simulation testing into the overall development process. • Influence technical roadmaps and strategic priorities, aligning simulation efforts with company objectives and product milestones. Required Skills and Qualifications • Master's degree in Robotics, Computer Science, Engineering, or a related technical field. • 10 years of extensive experience in simulation and testing, preferably within the autonomous vehicle domain. • Proven track record in developing or testing large-scale Machine Learning (ML) systems, with a strong understanding of simulation platforms and methodologies. • Direct experience leveraging LLMs/VLMs/etc. for production workflows. • Experience with the entire machine learning lifecycle from data generation and curation through model training through model deployment. • Hands-on expertise in implementing robust validation methods and evaluation strategies, including defining relevant metrics and correlating simulation performance with real-world behavior. • Strong software engineering skills, particularly in programming languages relevant to simulation and testing. • Excellent communication, collaboration, and mentoring abilities, with a passion for driving innovation in autonomous technology. Benefits We offer a comprehensive benefits package, including medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts, and more. Company Vehicle Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.
§ 02REQUIREMENTS

Description

  • and Qualifications
  • Master's degree in Robotics, Computer Science, Engineering, or a related technical field.
  • 10 years of extensive experience in simulation and testing, preferably within the autonomous vehicle domain.
  • Proven track record in developing or testing large-scale Machine Learning (ML) systems, with a strong understanding of simulation platforms and methodologies.
  • Direct experience leveraging LLMs/VLMs/etc. for production workflows.
  • Experience with the entire machine learning lifecycle from data generation and curation through model training through model deployment.
  • Hands-on expertise in implementing robust validation methods and evaluation strategies, including defining relevant metrics and correlating simulation performance with real-world behavior.
  • Strong software engineering skills, particularly in programming languages relevant to simulation and testing.
  • Excellent communication, collaboration, and mentoring abilities, with a passion for driving innovation in autonomous technology.
QUESTIONS AND ANSWERS
How much does the Innovative Autonomous Systems Simulation Leader at beBeeAutonomous pay?
The posting lists a range of $193K–$297K per year. Ranges reflect what beBeeAutonomous publicly declared on the source posting.
Where is this Innovative Autonomous Systems Simulation Leader role based?
The role is based in Washington, District of Columbia, US.
What experience does beBeeAutonomous expect for this role?
The posting is tagged as a lead-level role, typically 7+ years of experience. Check the requirements section for specifics.
[ APPLICATION ROUTE ]AGGREGATED · External ATS
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