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

🕒 Julho 9

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $200.000 - $275.000 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

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Motional

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2020

💼 Consultoria

📦 Logística

🏭 Manufatura

Consulting • Logistics • Manufacturing

A Motional é uma empresa líder no desenvolvimento de veículos autônomos, focando em tornar o transporte sem motorista uma realidade segura, confiável e acessível. Uma joint venture entre o Hyundai Motor Group e a Aptiv, a Motional tem estado na vanguarda da tecnologia sem motorista há décadas, criando veículos autônomos de Nível 4 da SAE para serviços de transporte por aplicativo e entrega. A empresa enfatiza segurança e inovação, aproveitando o aprendizado de máquina avançado e a tecnologia automotiva para construir veículos totalmente autônomos que se integram perfeitamente às redes de mobilidade, proporcionando uma experiência agradável para o transporte diário e entregas.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

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