
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.
🕒 il y a 4 mois
🇺🇸 États-Unis – Télétravail
💵 $250 600 - $384 600 / an
⏰ Temps Plein
🟠 Senior
🖥 Ingénieur Logiciel
🦅 Parrain de Visa H1B
🗣️🇺🇸🇬🇧 Anglais requis
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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.
• Lead the strategy and support execution for how GM defines, measures, and validates the safety of SAE Level 3 – 4 Automated Driving Systems • Reference and interpret standards such as ISO 21448 (SOTIF), ISO 5083, and AVSC best practices • Own the behavior-focused portion of the ADS Safety Case, including key claims, sufficiency criteria, and recommended evidence for AV behavior safety performance • Collaborate with Software Validation, Embodied AI, Simulation, and Safety Metrics teams • Set the strategy for how we systematically break down ODDs and validate performance • Assess AV performance across safety and reliability dimensions • Define and run an assurance process to verify the sufficiency criteria and safety targets • Hire, lead, and develop a high-performing AV behavior safety engineering team
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field • 8+ years of experience in machine learning, engineering, data science, or a related field • 8+ years in autonomous vehicle or robotics development or related field • Demonstrated experience working on production-intent AV programs • Track record providing technical safety leadership in AV development (e.g., defining safety strategies, risk assessments, validation methodologies, safety case contributions) • Deep understanding of AV behavior development: defining ODDs, behaviors, and evaluation criteria; analyzing simulation, closed-course, and public-road test data; and generating prioritized, actionable recommendations for developers • Experience applying AV safety standards and best practices, such as ISO 5083, ISO 21448 (SOTIF), and AVSC practices • Excellent communication and storytelling skills • Proven ability to influence cross-functional teams without direct authority • Strong problem-solving mindset, comfort with ambiguity, and a proactive attitude toward learning and continuous improvement • 3+ years of people leadership experience, including hiring, leading, and growing high-performing technical teams
• Medical • Dental • Vision • Health Savings Account • Flexible Spending Accounts • Retirement savings plan • Sickness and accident benefits • Life insurance • Paid vacation & holidays • Tuition assistance programs • Employee assistance program • GM vehicle discounts • Company vehicle evaluation program
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