
10,000+ employees
Founded 1908
🚘 Automotive
🏭 Manufacturing
🚗 Transport
💰 $500M Grant on 2024-07
Automotive • Manufacturing • Transport
General Motors is a leading multinational corporation in the automotive industry, committed to creating a future with zero crashes, zero emissions, and zero congestion. With operations and facilities worldwide, GM focuses on innovation across various areas including engineering, manufacturing, and information technology. The company emphasizes diversity, inclusion, and the development of sustainable technologies to shape the future of mobility.
🕒 June 12
🏄 California – Remote
💵 $170.6k - $261.3k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
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10,000+ employees
Founded 1908
🚘 Automotive
🏭 Manufacturing
🚗 Transport
💰 $500M Grant on 2024-07
Automotive • Manufacturing • Transport
General Motors is a leading multinational corporation in the automotive industry, committed to creating a future with zero crashes, zero emissions, and zero congestion. With operations and facilities worldwide, GM focuses on innovation across various areas including engineering, manufacturing, and information technology. The company emphasizes diversity, inclusion, and the development of sustainable technologies to shape the future of mobility.
• build and deploy applied AI/ML solutions that support simulation workflows, internal tools, and engineering use cases • operate from early exploration and rapid prototyping to shipping robust systems • collaborate closely with simulation, scenario-generation, data, and engineering teams to uncover opportunities where AI can create value • deliver solutions that meet clear customer and business success criteria
• Master’s degree required, PhD preferred, in CS, Robotics, EE, or related fields • 5+ years of applied ML/AI engineering experience, with at least 2+ years delivering production AI systems at scale • Deep knowledge of at least one modern multimodal or 3D computer vision pipeline (e.g., NeRF, Gaussian Splatting, world models, diffusion-based generation) • Strong programming skills in Python • Experience using a modern ML/AI library such as PyTorch, TensorFlow, OpenAI APIs, HuggingFace, gsplat, etc. • Solid understanding of ML fundamentals including data preprocessing, training pipelines, evaluation metrics, and model performance optimization • Ability to move fluidly between research exploration and practical engineering • Demonstrated ability to lead projects end-to-end with minimal guidance
• 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 and more
Apply Now🕒 June 12
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