Senior Software Engineer, Mapping - Autonomous Vehicles

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA +1

NVIDIA is seeking a Senior Software Engineer for their Autonomous Vehicles mapping team. The role involves designing and developing algorithms for map-based driving products, including architecture design, efficient C++ development, and integrating algorithmic solutions. Key responsibilities include researching and developing transformer-based models for graphs, implementing evaluation frameworks for LLMs, fine-tuning pre-trained models, and building automated map content analysis and map-building workflows. The role requires a background in computer vision, 3D geometry, and machine learning, with heavy AI tool usage for development, and strong prompt-crafting skills. The position is focused on building AI-powered solutions for self-driving cars, with a primary focus on agentic systems for navigation and map content, and secondary involvement in model fine-tuning.

What you'd actually do

  1. Design and develop algorithms for map-based driving products
  2. Architecture design for map provider, health monitors and data fusion with perception
  3. Develop highly efficient in-vehicle code in C++14 or later
  4. Design and integrate algorithmic solutions into the core of NVIDIA AV
  5. Research, and develop transformer based models tailored for graphs
  6. Implement evaluation frameworks to measure performance of large scale LLM’s
  7. Analyze and fine-tune SOTA pretrained models on domain specific datasets
  8. Build automated map content analysis in Python, JavaScript or TypeScript
  9. Create scalable and distributed map-building workflows

Skills

Required

  • 4+ years with BS in Computer Science or equivalent experience
  • Background in computer vision, 3D geometry and machine learning
  • Heavy AI user for day‑to‑day development (design, coding, review, and testing)
  • Hands‑on experience with tools like Claude CLI, Cursor, and other advanced code assistants
  • Strong prompt‑crafting skills: knows how to break problems down, provide context, and iterate with AI to reach robust solutions
  • Passion for robotics and autonomous vehicles

Nice to have

  • Prior experience with any navigation maps such as NDS.Live, Open Street Maps (OSM) etc.
  • Software development on embedded or automotive platforms.
  • Knowledge of gRPC, Flat Buffers and Protocol Buffers
  • Experience with GPGPU programming (CUDA)

What the JD emphasized

  • AI-enabled Autonomous Vehicles
  • human level AI for navigation
  • transformer based models tailored for graphs
  • large scale LLM’s
  • SOTA pretrained models

Other signals

  • AI-enabled Autonomous Vehicles
  • continuously learn and improve
  • human level AI for navigation
  • transformer based models tailored for graphs
  • large scale LLM’s
  • SOTA pretrained models