Senior Software Engineer, Mapping - Autonomous Vehicles

Nvidia

Quick summary

Work type: On-site
Location: Santa Clara, CASeattle, WA
Salary: $152,000–$241,500 / yr
Posted: 6 days ago
Nearby: 99+ roles within 25 mi

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Competitive pay

How this pay compares to similar roles

Similar $203k

This role $197k

$140k most similar roles pay here $265k

This role pays less than 57% of similar roles. Most pay $170,000–$235,750 — the shaded band above. At the midpoint, this role pays about $197k versus about $203k for comparable roles.

Based on 240 similar postings.

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 980 open roles on FindRole.

Listed pay typically runs $168,000–$270,250 across 966 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer, Mapping - Autonomous Vehicles

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Join Nvidia's DRIVE Mapping team as an experienced software engineer focused on developing AI-powered solutions for autonomous vehicles. In this role, you will design algorithms for map-based driving products, create efficient in-vehicle code using C++14 or later, and integrate transformer models tailored for graphs into the core of NVIDIA’s AV platform. You’ll also build automated map content analysis tools and scalable workflows using Python, JavaScript, or TypeScript. Ideal candidates have a strong background in computer vision, 3D geometry, machine learning, and experience with embedded software development on automotive platforms. Proficiency in AI tooling like Claude CLI and Cursor is essential, along with knowledge of gRPC, Flat Buffers, Protocol Buffers, and GPGPU programming (CUDA). This role offers the opportunity to contribute to a groundbreaking technology that aims to significantly reduce road traffic fatalities globally.

Skills

C++ Python JavaScript TypeScript gRPC FlatBuffers ProtocolBuffers CUDA TransformerModels LLMs ComputerVision 3DGeometry MachineLearning AutomatedMapContentAnalysis EmbeddedSoftware RealTimeSoftware OperatingSystems NDS.Live OpenStreetMaps ClaudeCLI Cursor PromptCrafting

What you'll do

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 using C++14 or later.
Research and develop transformer-based models tailored for graphs.
Implement evaluation frameworks to measure performance of large-scale LLMs.

What we're looking for

4+ years of experience with a BS in Computer Science or equivalent
Strong background in computer vision, 3D geometry, and machine learning
Proficient in developing real-time software for embedded systems using C++14+
Experience with AI tools like Claude CLI, Cursor, and advanced code assistants
Expertise in designing efficient map-based driving algorithms and data fusion
Knowledge of gRPC, Flat Buffers, Protocol Buffers, and GPGPU programming (CUDA)
Passionate about robotics, autonomous vehicles, and navigation maps development

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