Senior Software Performance Engineer - AV Platform

Nvidia

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $186k
This role $290k
$123k most similar roles pay here $382k

This role pays more than 99% of similar roles. Most pay $147,925–$223,925 — the shaded band above. At the midpoint, this role pays about $290k versus about $186k 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 985 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 971 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Software Performance Engineer - AV Platform

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We are seeking a Senior Software Performance Engineer to join our team building NVIDIA’s end-to-end autonomous driving applications. In this role, you will develop and optimize the latency and throughput of L2/L3/L4 autonomous driving solutions, devising acceleration strategies for multi-computer and heterogeneous hardware architectures. You will write highly efficient C++ code using GPGPU programming techniques like CUDA/ARM NEON while adhering to quality and safety standards such as MISRA. Additionally, you will collaborate with hardware, product, OS, and safety teams to design next-generation autonomous vehicle products. Ideal candidates have a MS or PhD in Computer Science or related fields, 12+ years of experience in autonomous vehicles software, strong C++ programming skills, and expertise in performance analysis, optimizations, and benchmarking. Experience with CUDA/GPGPU and deep learning architecture on GPUs is highly desirable.

Skills

C++ CUDA ARM_NEON MISRA performance_analysis benchmarking embedded_architectures real_time_operating_systems linear_algebra numerical_methods robotics computer_vision machine_learning GPGPU deep_learning GPUs

What you'll do

  • Develop and maintain autonomous driving solutions to optimize latency and throughput.
  • Design acceleration strategies for software efficiency on multi-heterogeneous hardware.
  • Write efficient product code in C++ using GPGPU programming techniques like CUDA.
  • Work with cross-functional teams to design next-generation autonomous vehicle products.
  • Conduct performance analysis, optimization, and benchmarking of software systems.

What we're looking for

  • MS or PhD in Computer Science, Electrical Engineering or related field (or equivalent experience).
  • 12+ years of professional experience in autonomous vehicles software development.
  • Expertise in C++ programming and parallel architectures.
  • Experience with performance analysis, optimizations, and benchmarking.
  • Strong understanding of system software, operating systems, and computer architecture.
  • Knowledge of embedded architectures, real-time OS & scheduling.
  • Proficiency in CUDA/GPGPU or data parallel architectures.

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