> Markdown version of [/jobs/ext/3956769-senior-software-engineer-mapping-autonomous-vehicles](https://www.wearedevelopers.com/jobs/ext/3956769-senior-software-engineer-mapping-autonomous-vehicles). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer, Mapping - Autonomous Vehicles - **Company:** NVIDIA Ltd. - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $152,000.0 - $241,500.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Artificial Intelligence, Computer Vision, Cloud Computing, Nvidia CUDA, Computer Programming, Content Analysis, Data Fusion, Cursor, Embedded Software, Protocol Buffers, General-Purpose Computing on Graphics Processing Units, Python (Programming Language), Machine Learning, Systems Development Life Cycle, Real-Time Operating Systems, SAP Sales and Distribution, Software Engineering, Supercomputing, TypeScript, Large Language Models, Information Technology, Claude, C++14, Grpc - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-software-engineer-mapping-autonomous-vehicles-seattle-wa--d73fb87c-a559-4f5d-828f-f53d29e90306 ## About the Role Software Engineering, Simulation, Cloud Computing, Artificial Intelligence (AI), Continuous Improvement, Scalable System Development, Automotive Engineering, Autonomous Driving Systems, Problem Solving Skills, Software Design, * 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 Ways To Stand Out From The Crowd: * 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) ## Description Nvidia DRIVE platform offers solutions to build safe, scalable, AI-enabled Autonomous Vehicles. The end-to-end full stack platform spans from in-car supercomputers to cloud-scale training and simulation. Our goal is to ship cars that continuously learn and improve, bringing the future of self-driving to today's roads. We are looking for passionate, AI-powered, engineers for the DRIVE Mapping team. Maps play important roles in localization, routing, and navigation. Maps offer redundancy for live sensor perceptions increasing the safety of the vehicle. In this role, you will help deliver the SD maps to all in-car consumers in the most efficient way. We are seeking the best engineers motivated about solving complex problems for self-driving cars with a background in software design, embedded software, working on real-time software and operating systems. Are you interested in inventing human level AI for navigation in the unconstrained world under any conditions? If so, join us! What You'll Be Doing: * Design and develop algorithms for map-based driving products * Architecture design for map provider, health monitors and data fusion with perception * Develop highly efficient in-vehicle code in C++14 or later * Design and integrate algorithmic solutions into the core of NVIDIA AV * Research, and develop transformer based models tailored for graphs * Implement evaluation frameworks to measure performance of large scale LLM's * Analyze and fine-tune SOTA pretrained models on domain specific datasets * Build automated map content analysis in Python, JavaScript or TypeScript * Create scalable and distributed map-building workflows