Senior Software Engineer, Autonomy Evaluation

🕒 il y a 2 mois

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 32%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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General Motors

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10 000+ employés

Fondée en 1908

🚘 Automobile

🏭 Fabrication

🚗 Transport

💰 €500 000 000 Grant en 2024-07

Automotive • Manufacturing • Transport

General Motors est une multinationale de premier plan dans l'industrie automobile, engagée dans la création d'un avenir sans accidents, sans émissions et sans congestion. Avec des opérations et des installations dans le monde entier, GM se concentre sur l'innovation dans divers domaines, notamment l'ingénierie, la fabrication et les technologies de l'information. L'entreprise met l'accent sur la diversité, l'inclusion et le développement de technologies durables pour façonner l'avenir de la mobilité.

Description

• Architect and implement metrics and analyses to introspect autonomous driving software performance across the autonomy stack • Partner with autonomy developers and systems engineers • Design and implement algorithms that summarize, aggregate, and cluster metrics from simulations and on-road autonomy runs • Propose and develop statistical and ML methods to quantify performance and identify system and subsystem behavior patterns • Introspect ML components in the autonomy stack, including perception, prediction, and planning models • Build and maintain autonomy evaluation dashboards and interactive reports for trend analysis, drift detection, and scenario coverage • Leverage vision-language models and large language models to classify autonomy performance, identify critical scenarios, and prioritize validation efforts • Integrate human-in-the-loop review where needed • Maintain high technical standards through system design, code reviews, testing, observability, and software-engineering best practices • Interface with cross-organizational partners to articulate requirements, resolve handoff issues, and share evaluation, metrics, and experiment-design best practices

🎯 Exigences

• 5+ years of applied experience with robotics or autonomous systems software, data analysis, ML evaluation, or autonomy analytics • 3+ years evaluating dynamic systems using numerical and/or ML approaches, including time-series data, state derivatives, dynamics, and interconnected subsystems • Strong proficiency developing Python in production team environments, including testing, performance, and code review • Proficiency with Pandas, NumPy, SciPy, and plotting/visualization libraries for large-scale data analysis and reporting • Comfort working with C++ codebases, including reading, debugging, and instrumenting core algorithms • Demonstrated technical leadership, including driving architectural decisions, influencing cross-team designs, and owning complex features or services end-to-end • Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, Data Science, or a related field, or equivalent practical experience • Experience in autonomous driving or field robotics • Experience evaluating robotics or AV systems using sensor data such as camera, lidar, or radar • Familiarity with statistical modeling, experimental design, and hypothesis testing • Proficiency in C++ and SQL • Experience with ROS or similar robotics/IPC frameworks, log pipelines, and large-scale experiment databases or evaluation platforms • Experience with computational geometry, linear algebra, PyTorch, and ML techniques applied to perception, prediction, planning, or control • Background in modeling agent interaction and contributing to release gating and safety decisions for autonomy systems • Experience leveraging AI-assisted development and analytics tools

🏖️ Avantages

• Benefits information provided through GM Total Rewards resources • General Motors offers reasonable accommodations for individuals with disabilities • Inclusive, non-discriminatory workplace • Role-related assessment and/or pre-employment screening information provided

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