Principal Engineer – Tech Lead, Embodied AI, Off-Board Performance Evaluation

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $200k - $275k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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Motional

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2020

🚗 Transport

🤖 Artificial Intelligence

Transport • Artificial Intelligence • Automotive

Motional is a leading company in the development of autonomous vehicles, focusing on making driverless transportation a safe, reliable, and accessible reality. A joint venture between Hyundai Motor Group and Aptiv, Motional has been at the forefront of driverless technology for decades, creating SAE Level 4 autonomous vehicles for ride-hail and delivery services. The company emphasizes safety and innovation, leveraging advanced machine learning and automotive technology to build fully driverless vehicles that integrate smoothly into mobility networks, providing an enjoyable experience for daily transportation and deliveries.

📋 Description

• Technically oversee the architecture to identify, describe, and enrich events in historical vehicle logs using Multimodal LLMs. • Oversee the off-board ingestion and fusion of semantic scene descriptions, ego-centric kinematics, and internal autonomy telemetry to create a holistic diagnostic context for LLM inference. • Develop structured prompting templates utilizing Contextual Prompting (CP), Chain-of-Thought (CoT), and In-Context Learning (ICL) to evaluate scenarios. • Architect the integration of foundation models into the Metrics Engine (ME), designing efficient cascade filtering and log slice parallelization strategies to scale high-volume LLM inference across simulation and on-road drive logs while managing computational latency and costs. • Define, design, and implement key metrics to evaluate autonomous vehicle performance, such as lane change capability, oscillations, and braking. • Deploy and manage a Retrieval-Augmented Generation (RAG) vector database containing codified AV Driving Policies to ground off-board LLM evaluations in specific Operational Design Domains. • Serve as a technical escalation point and collaborate with Autonomy (Planner, Prediction, Perception) and Systems teams to deliver high-signal, enriched events. • Drive the transition toward Direct Vector-LLM Fusion utilizing emerging Physical AI ecosystems and open-weights Vision-Language-Action (VLA) models to process telemetry off-board without text-translation bottlenecks.

🎯 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 working with Large Language Models (LLMs) and Vision-Language Models (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 housing output vector embeddings. • Experience with adversarial scenario generation and closed-loop simulation environments. • Strong background leveraging software to develop frameworks, libraries, and tools for calculating and aggregating AV performance metrics. • Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation. • Expert-level proficiency in Python and strong understanding of software development principles.

🏖️ Benefits

• medical • dental • vision • 401k with a company match • health saving accounts • life insurance • pet insurance • more