Senior Localization Engineer, Autonomous Vehicles

Nvidia

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$184,000–$287,500 / yr
Employment
Full-time
Posted
18 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $211k
This role $236k
$153k most similar roles pay here $302k

This role pays more than 71% of similar roles. Most pay $177,250–$245,062 — the shaded band above. At the midpoint, this role pays about $236k versus about $211k 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 Engineer, Autonomous Vehicles

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Senior Localization Engineer - Autonomous Vehicles will join the team to develop robust solutions for map-enhanced autonomous driving while adhering to ASIL safety requirements. The role involves localizing vehicle positions to map data to create precise models of the environment beyond the horizon of perception. You will build algorithms that process large amounts of real and synthetic data across diverse environments and conditions. Key responsibilities include writing high-performance, real-time code in C++ using CUDA for GPGPU programming while ensuring compliance with MISRA and ISO26262 automotive standards. The ideal candidate possesses expertise in computer vision, 3D geometry, mapping, and localization. Required skills include a strong foundation in linear algebra and geometric computer vision to solve complex navigation problems within the autonomous vehicle driving stack using both ubiquitous navigation maps and crowdsourced map data.

Skills

C++ CUDA GPGPU Computer Vision 3D Geometry Mapping Localization Linear Algebra MISRA ISO26262 Synthetic Data

What you'll do

  • Design and build robust solutions for map-enhanced autonomous driving with ASIL safety requirements.
  • Localize vehicle position to map data to create precise models of the surrounding environment.
  • Develop algorithms that perform reliably across large amounts of real and synthetic data in diverse conditions.
  • Write high-performance, real-time C++ code utilizing GPGPU programming in CUDA.
  • Productize software for real-world deployment following automotive quality and safety standards like MISRA and ISO26262.
  • Implement computer vision and 3D geometry solutions to enhance navigation systems.

What we're looking for

  • PhD with 2+ years, MS with 4+ years, or BS with 6+ years of experience in Computer Science, Computer Engineering, or a related field.
  • Experience in computer vision, 3D geometry, mapping, localization, or related technologies.
  • Proficiency in writing high-quality, real-time code in modern C++.
  • Solid foundation in linear algebra and geometric computer vision.
  • Outstanding communication and teamwork skills for cross-team collaboration.
  • Significant industry experience in the required fields (preferred).
  • Experience developing real-time Computer Vision systems (preferred).
  • Experience with CUDA parallel programming (preferred).

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