Senior Software Engineer, Deep Learning Inference - Automotive Safety

at Nvidia

USD 152,000-287,500 per year

SENIOR

✅ Hybrid

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 C @ 7 C++ @ 7 CUDA @ 6 Deep Learning @ 3 LLM Performance Optimization @ 4 Profiling @ 4 Python @ 6 Software Development @ 6 TensorRT @ 4

Details

Are you passionate about driving innovation in deep learning and eager to work on cutting-edge AI technology for safety-critical applications? Join NVIDIA's TensorRT team as a Senior Software Engineer to develop high-performance AI inference solutions for automotive safety and other specialized platforms.

Responsibilities

Lead the design and development of high-performance deep learning inference software for safety-critical automotive applications using modern C++.
Orchestrate the integration of new hardware functionalities into TensorRT's compiler and runtime for specialized and constrained platforms.
Collaborate with teams and stakeholders across the hardware and software stack to understand and leverage new technologies that improve TensorRT's functionality and performance.
Guide the design and implementation of robust, high-quality C++ code aligned with modern C++ standards and safety-critical software requirements.
Drive systematic development of test plans from unit through integration level, with emphasis on rigorous safety validation and verification.
Lead documentation efforts for safety-critical properties of functions, classes, and systems to support certification and robustness requirements.
Contribute to performance optimization and benchmarking efforts for specialized automotive platforms.

Requirements

Bachelor's, Master's, PhD, or equivalent experience in a relevant field, such as Computer Engineering, Computer Science, Electrical Engineering, or AI.
At least 5 years of relevant software development experience.
Strong C++ skills, including knowledge and application of best practices with C++14 or newer standards.
Familiarity with deep learning concepts and frameworks.
Experience with safety-critical software development, including rigorous testing, validation, and documentation practices.
A track record of taking initiative and driving projects to completion.
Excellent interpersonal skills and a collaborative, pragmatic approach to problem-solving.

Preferred Qualifications

Experience with automotive safety standards such as ISO 26262 and ASIL, or other functional safety frameworks.
Proficiency with Python and/or CUDA, ideally with professional experience.
Background in systems programming, embedded systems, and/or compiler development.
Experience with software performance benchmarking, profiling, and optimization.
Experience with state-of-the-art deep learning models, such as large language models, and inference frameworks.

Benefits

Equity and benefits are provided.
NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.
This is a full-time position.
The role is hybrid.

The base salary range is USD 152,000–241,500 for Level 3 and USD 184,000–287,500 for Level 4. Applications will be accepted at least until March 22, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.