Senior Software Engineer, Mapping - Autonomous Vehicles

NVIDIA Corporation; Santa Clara (CA); On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking engineers for the DRIVE Mapping team to design and implement map-based driving algorithms and in-vehicle software. You will work on architecture for map providers, health monitors, and data fusion while delivering efficient C++14+ code in the AV research stack.

The role involves transforming transformer-based models for graphs, evaluating large LLMs, and building scalable map-building workflows. Prior navigation map experience is a plus.

Qualifications

• 4+ years of CS/engineering experience with relevant degree or equivalent.
• Strong background in computer vision, 3D geometry and ML concepts.
• Hands-on coding in AI/ML workflows and in-vehicle software.
• Proficient with Claude CLI, Cursor, and advanced AI tooling for development.
• Excellent problem solving and iterative design skills.
• Passion for robotics and autonomous vehicles.

Responsibilities

• Design and develop map-based driving algorithms.
• Architect map provider health monitors and data fusion.
• Write efficient in‑vehicle C++14+ code.
• Integrate AI solutions into NVIDIA AV Research core.
• Develop evaluation frameworks for large‑scale models.
• Fine‑tune models on domain datasets; build map analysis pipelines.
• Create scalable map-building workflows in Python/JS/TS.

Skills

4+ years experience

Computer vision

3D geometry

Machine learning

Python

C++14+

AI tooling (Claude CLI, Cursor)

Prompt engineering

Education

BS in Computer Science or equivalent

Tools

gRPC

FlatBuffers

Protocol Buffers

CUDA

Job 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?

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

What We Need To See:

• 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)

We believe, realizing self‑driving vehicles will be a defining contribution of our generation which can reduce ~1.25 million deaths per year world-wide due to road traffic accidents.

We have the funding and the scale, but we need your help on our team.

NVIDIA is widely recognized as one of the best places to work. You are invited to do your life’s best work and get surrounded by some of the most forward-thinking and hardworking people in the world! #AutonomousVehicles

Your base salary will be determined based on your location, experience, and other objective job‑related factors. The expected base salary ranges for this position are: 152,000 USD - 241,500 USD for Level 3; and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.

As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.