Senior Mapping Engineer for Self-Driving Cars (AI/Embedded)

NVIDIA

Seattle (WA)

On-site

USD 184,000 - 288,000

Full time

14 days+

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Job summary

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. We are looking for passionate, AI-powered engineers for the DRIVE Mapping team.

Maps support localization, routing, and navigation in NVIDIA AV. Join us to deliver SD maps to all in-car consumers with efficient, robust software in real-time systems, embedded platforms and AI-driven data fusion.

Qualifications

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.

Responsibilities

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.