Base Salary
$200k - $275k/yr
Responsibilities
- Technically oversee architecture, development, and deployment of an off-board Embodied AI and LLM monitoring and evaluation framework.
- Ingest and fuse scene descriptions, ego-centric kinematics, autonomy telemetry, vehicle logs, and fleet data for diagnostic analysis.
- Develop structured prompting templates using contextual prompting, chain-of-thought, and in-context learning to evaluate driving scenarios.
- Integrate foundation models into the Metrics Engine and design cascade filtering and parallelized log-slice processing for scalable inference.
- Define and implement autonomous vehicle performance metrics covering capabilities such as lane changes, oscillations, and braking.
- Deploy and manage a RAG vector database containing codified autonomous vehicle driving policies.
- Serve as a technical escalation point and collaborate with Planner, Prediction, Perception, and Systems teams.
- Advance Direct Vector-LLM Fusion and open-weights VLA model applications for off-board telemetry analysis.
Requirements
- 10+ years of professional experience in software engineering, applied AI/ML, or autonomous vehicle systems development.
- Bachelor’s degree in Computer Science, Engineering, Robotics, or a related field.
- Proven experience with LLMs and VLMs for reasoning, parsing, and scene description.
- Experience with parameter-efficient fine-tuning and deploying open-weights models on internal infrastructure.
- Familiarity with local and cloud vector databases, such as LanceDB, for storing vector embeddings.
- Experience with adversarial scenario generation and closed-loop simulation environments.
- Strong experience developing software frameworks, libraries, and tools for calculating and aggregating autonomous vehicle performance metrics.
- Expert-level Python proficiency and strong software development fundamentals.
- Preferred experience with autonomous vehicle sensor data processing and integration.
- Preferred experience with data pipeline orchestration tools and distributed data processing frameworks.
- Preferred expertise managing AWS or GCP infrastructure for large-scale data processing.
- Preferred familiarity with Ray and Ray clusters for scaling Python applications and AI/ML tasks.
- Preferred expertise with C++ programming for data frameworks.
Benefits
- Hybrid schedule with in-office work in Boston, Pittsburgh, or Las Vegas, or fully remote work.
- Expected travel of 1–2 weeks each quarter to testing sites, primarily Las Vegas and other domestic locations.
- Benefits may include medical, dental, vision, 401(k) with company match, health savings accounts, life insurance, pet insurance, and other benefits.
Tech Stack
Categories
About Motional
Motional is an autonomous vehicle technology company on a mission to make driverless vehicles a safe, reliable, and accessible reality. The company formed in 2020 and is majority-owned by Hyundai Motor Group, one of the world’s largest vehicle manufacturers. Motional has extensive experience in commercial robotaxi operations, with service currently available on the Uber network in Las Vegas and plans for driverless operations by the end of 2026. Headquartered in Boston, Motional has operations in the U.S. and Singapore. To explore our current openings, please visit our careers page at motional.com/careers. Please be alert for job recruitment scams, including fraudulent job postings, offers, and communications by individuals or entities purporting to be affiliated with Motional. All of our third party job postings link back to our motional.com/careers page. Need assistance? If you have questions or want to report suspicious activity, send us a direct message - we’re here to help.