Senior Software Performance Engineer, Autonomous Vehicles

Nvidia

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $224,000–$356,500 / yr
Posted: 13 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $193k

This role $290k

$126k most similar roles pay here $381k

This role pays more than 96% of similar roles. Most pay $151,000–$235,750 — the shaded band above. At the midpoint, this role pays about $290k versus about $193k 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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Senior Software Performance Engineer, Autonomous Vehicles

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Senior Software Performance Engineer - Autonomous Vehicles joins the team building end-to-end autonomous driving applications. This role focuses on optimizing self-driving solutions running on multi-computer and heterogeneous hardware architectures. The engineer will develop, maintain, and optimize latency and throughput for L2/L3/L4 autonomous driving solutions while devising acceleration strategies to improve software architecture efficiency. Key responsibilities include writing highly efficient product code in C++ using GPGPU programming via CUDA and ARM NEON while adhering to MISRA safety standards. The role requires collaborating with hardware, product, operating system, and safety teams to design next-generation products. Essential skills include expertise in C/C++, performance analysis, benchmarking, and debugging for parallel architectures. Candidates should possess a deep understanding of computer architecture and systems software to solve complex problems within the autonomous vehicle domain.

Skills

C++ C CUDA GPGPU ARM NEON MISRA Computer Architecture Performance Analysis Benchmarking Machine Learning Computer Vision Robotics

What you'll do

Develop and optimize the latency and throughput of L2/L3/L4 autonomous driving solutions.
Devise acceleration strategies to improve software architecture efficiency on heterogeneous hardware engines.
Write highly efficient product code in C++ using CUDA and ARM NEON programming.
Ensure all developed code adheres to MISRA quality and safety standards.
Perform performance analysis, optimizations, and benchmarking for autonomous vehicle systems.
Interface with hardware, product, OS, and safety teams to design next-generation products.

What we're looking for

MS or PhD degree in Computer Science, Computer Architecture, Electrical Engineering, or a related field.
12+ years of relevant professional experience working on autonomous vehicles software.
Excellent C and C++ programming skills.
Solid understanding of programming and debugging techniques for parallel architectures.
Good understanding of system software, operating systems, and computer architecture.
Experience with performance analysis, optimizations, and benchmarking.
Outstanding communication and collaboration skills to interface with multiple internal teams.
Experience with CUDA/GPGPU programming or other data parallel architectures.

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