Senior Software Engineer, Deep Learning Inference - Automotive Safety

Location: US, CA, Santa Clara

Time Type: Full time

Job Description

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, and be at the forefront of technology, enabling high-performance AI inference solutions for automotive safety and other specialized platforms. Your expertise will help shape the performance, functionality, and safety of our products, ensuring NVIDIA remains synonymous with innovation. If you're ready to tackle challenging projects, push the boundaries of AI performance in demanding environments, and make a significant impact in a company that values creativity, excellence, and teamwork, we want to hear from you!

What you'll be doing:

• 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

• Work closely with teams and stakeholders across the hardware and software stack to understand and leverage new technologies to improve TensorRT's functionality and performance

• Guide the design and implementation of robust, high-quality C++ code in alignment with Modern C++ standards and safety-critical software requirements

• Drive systematic development of test plans from unit to 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

What we need to see:

• Bachelors, Masters, PhD, or equivalent experience in relevant fields (Computer Engineering, Computer Science, Electrical Engineering, AI)

• At least 5+ years of relevant software development experience

• Strong C++ skills, including knowledge of 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 solving problems

Ways to stand out from the crowd:

• Experience with automotive safety standards (e.g., ISO 26262, ASIL) or other functional safety frameworks

• Proficiency with Python and/or CUDA, ideally with experience in a professional environment

• Background with systems programming, embedded systems, and/or compiler development

• Experience in software performance benchmarking, profiling, and optimizations

• Experience with state-of-the-art deep learning models (such as Large Language Models) and frameworks for inference

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous, and love a challenge, come join our team and help us build the future of safe, high-performance AI inference technology!

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.Applications for this job will be accepted at least until March 22, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.