As a Senior Software Engineer on NVIDIA’s TensorRT team, you will lead the design and development of high-performance deep learning inference software for safety-critical automotive applications using modern C++. You’ll integrate new hardware functionalities into TensorRT's compiler and runtime, work closely with cross-functional teams to improve functionality and performance, and guide the implementation of robust, high-quality C++ code. Responsibilities include driving test plan development from unit to integration levels, focusing on rigorous safety validation and verification, and contributing to benchmarking efforts for specialized automotive platforms. Ideal candidates have a strong background in software engineering, particularly with C++14 or newer standards, deep learning concepts, and experience in safety-critical software development. Familiarity with automotive safety standards like ISO 26262 is beneficial, as well as proficiency with Python, CUDA, systems programming, and compiler development.
Skills
C++
CUDA
Python
ISO 26262
ASIL
Deep Learning
Modern C++
Safety-Critical Software Development
Performance Optimization
Benchmarking
Embedded Systems
Compiler Development
Systems Programming
What you'll do
Lead design and development of high-performance deep learning inference software using modern C++.
Integrate new hardware functionalities into TensorRT's compiler and runtime for specialized platforms.
Guide the implementation of robust, high-quality C++ code adhering to safety-critical standards.
Drive systematic test plan development from unit to integration level with rigorous validation.
Lead documentation efforts for safety-critical properties to support certification requirements.
Contribute to performance optimization and benchmarking for automotive platforms.
What we're looking for
At least 5+ years of relevant software development experience in C++
Strong knowledge and application of Modern C++ standards (C++14 or newer)
Experience with deep learning concepts and frameworks
Familiarity with safety-critical software development practices, including rigorous testing and documentation
Track record of driving projects to completion independently
Proficiency with Python and CUDA in a professional environment
Background in systems programming, embedded systems, and compiler development
Market check
Salary context
This
$152,000–$241,500
range sits above
40%
of similar postings on FindRole.
Peer median band
$168,500–$258,750
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$182,125–$246,150
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
802 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 798 roles with salary data.