Principal Engineer – Team Lead, Behavior Safety & Metrics

Job not on LinkedIn

🔥 29 minutes ago

🎰 Nevada, Massachusetts, +1 more states – Remote

🎰 Nevada – Remote 🍂 Massachusetts – Remote 🔔 Pennsylvania – Remote

💵 $240k - $330k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 2%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Motional

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2020

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

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

• Lead evaluation initiatives across Prediction and Planning • Define how autonomous driving behavior is measured, understood, and improved • Act as the central authority on evaluation for Behavior teams • Drive evaluation strategy for prediction and planning models, including open-loop and simulation-based assessments • Design and implement advanced metrics for end-to-end model evaluation and system behavior • Incorporate counterfactual reasoning and reaction time analysis into evaluation frameworks • Develop data-mining strategy and assess training and evaluation dataset coverage • Build tooling and pipelines and identify process gaps • Collaborate with machine learning engineers, roboticists, Safety, Infrastructure, Operations, Legal, and Systems teams • Drive design improvements and ensure features positively affect system safety, comfort, and assertiveness and meet launch criteria • Influence development, evaluation, and deployment of next-generation autonomous driving capabilities

🎯 Requirements

• Bachelor’s degree and 7+ years of experience in Computer Science, Systems Engineering, Robotics, or a similar technical field (or Master’s/PhD and 5+ years of experience) • Strong foundation in probability/statistics, data science, and scientific rigor applied to complex, multi-agent systems • Proficiency in Python, SQL, and data analysis (visualization, statistics) in production environments • Experience defining performance targets and acceptance criteria spanning safety, comfort, and assertiveness, producing analysis and evidence to justify them • Demonstrated ability to tackle technical challenges, analyze cross-disciplinary problems, and propose innovative, maintainable solutions • Proven ability to lead initiatives, drive alignment, and ensure stakeholder engagement throughout the development process • Working expertise in hazard and safety analysis methods such as STPA, HAZOP, FMEA, and hazard analysis and risk assessment • Experience using statistical and ML methods to quantify performance, detect regressions, and reveal patterns of system behavior at scale • Deep experience with Prediction and/or Planning for autonomous robotics, including evaluating ML-based systems in production environments • Experience with public AV datasets and benchmarks such as Waymo Open Dataset and nuScenes • Deep understanding of standard industry metrics for trajectory forecasting and motion planning • Prior experience using or building data pipelines at scale • Excellent communication skills and ability to collaborate across distributed teams • Familiarity with SOTIF, ISO 26262, UL4600, and AVSC behavior competencies and other industry standards • Candidates must satisfy U.S. employment eligibility verification requirements through E-Verify

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • 401k with a company match • Health saving accounts • Life insurance • Pet insurance • Additional compensation may include a bonus or company equity • Inclusive and diverse work environment

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