Senior Machine Learning Engineer, Perception – Autonomous Driving

Job not on LinkedIn

September 27

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

☕ Washington – Remote

Although this job is listed in Washington, this company may be open to hiring remote in other states.

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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NVIDIA

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Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

📋 Description

• Collaborate with researchers and engineers to transform innovative algorithms into production-ready perception modules. • Research and prototype deep learning methods for lane graph construction, road boundary detection, traffic element recognition, and other static-world tasks. • Develop and implement experiments at scale, applying detailed analytics to validate adaptability and improve generalization to rare and corner-case scenarios. • Drive end-to-end deployment of perception models — from prototyping and validation to integration, optimization, and delivery into the autonomous driving stack.

🎯 Requirements

• MS or PhD in Computer Science, Engineering, or related field (focus on Deep Learning, AI, or similar), or equivalent experience. • 8+ years of experience applying ML/DL to real-world perception problems. • Strong Python programming skills with proven software engineering practices. • Hands-on experience with deep neural network training, inference, and optimization using PyTorch, TensorRT (or similar). • Solid understanding of the mathematical foundations of ML/DL. • Proven experience in data-driven analysis: setting up metrics, running large-scale experiments, interpreting results, and applying insights to guide model improvements. • Experience developing scalable software for large, sophisticated systems. • Excellent interpersonal skills; able to collaborate optimally across teams. • Self-motivated, analytical, and eager to solve meaningful and challenging perception problems.

🏖️ Benefits

• equity • benefits