POSTING ACTIVE · REQ-06E64 · FY25.Q4
Innovative Autonomous Systems Simulation Leader
[ COMPANY ]
[ LOCATION ]
[ POSTED ]
[ REQ ID ]
[ 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.
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