Senior Localization and Planning Engineer, Autonomous Vehicles

Nvidia

Confirmed live today High trust

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CARedmond, WA
Salary: $184,000–$287,500 / yr
Employment: Full-time
Posted: 34 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $208k

This role $236k

$151k most similar roles pay here $302k

This role pays more than 71% of similar roles. Most pay $169,762–$245,662 — the shaded band above. At the midpoint, this role pays about $236k versus about $208k for comparable roles.

Based on 240 similar postings.

Employer

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 1150 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 912 roles with salary data.

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At a glance

TL;DR · Senior Localization and Planning Engineer, Autonomous Vehicles

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As a Senior Localization and Planning Engineer - Autonomous Vehicles, you will join the team responsible for developing critical navigation maps that provide road and lane level information for autonomous driving systems. You will design and implement systems using standard navigation maps to facilitate lane-level navigation while ensuring algorithms perform effectively across large-scale real-world and synthetic datasets in diverse environments. Your daily responsibilities include writing safe, highly efficient C++ code and productizing software for consumer cars according to MISRA and ISO26262 automotive safety standards. You will focus on localization, perception-map association, and lane selection tasks. The role requires a strong algorithmic design background and expertise in modern C++ using RAII and exception-safe practices. This position addresses the technical challenge of enabling advanced features for autonomous vehicles through robust navigation map integration.

Skills

C++ Navigation Maps Autonomous Vehicles MISRA ISO26262 RAII Google Maps Lane Planning Perception-map Association Synthetic Datasets Real-world Deployment

What you'll do

Design and implement systems using standard navigation maps to navigate vehicles at a lane level.
Develop algorithms for localization, perception-map association, and lane selection.
Ensure algorithm performance across large-scale real-world and synthetic datasets in diverse environments.
Write safe, highly efficient code in modern C++ using RAII and exception-safe practices.
Productize software for deployment in consumer cars following automotive quality standards like MISRA and ISO26262.

What we're looking for

BS, MS, or PhD in Computer Science or a related field (or equivalent experience).
8+ years of proven experience.
Strong algorithmic design background.
Ability to write safe, highly efficient code in modern C++ using RAII and exception-safe practices.
Knowledge of automotive quality and safety standards such as MISRA and ISO26262.
Outstanding communication and teamwork skills for cross-team collaboration.
Prior industrial experience with navigation maps, online mapping, or lane planning (preferred).

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