Are you passionate about driving innovation in deep learning and eager to work on cutting-edge AI technology for safety-critical applications? Join NVIDIAs 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 youre 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 youll be doing:
• Lead the design and development of high-performance deep learning inference software for safety-critical automotive applications using modern C++ 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 TensorRTs compiler and runtime for specialized and constrained platforms Orchestrate the integration of new hardware functionalities into TensorRTs 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 TensorRTs functionality and performance Work closely with teams and stakeholders across the hardware and software stack to understand and leverage new technologies to improve TensorRTs 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 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 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 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 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) 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 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 Strong C++ skills, including knowledge of and application of best practices with C++14 or newer standards
• Familiarity with deep learning concepts and frameworks Familiarity with deep learning concepts and frameworks
• Experience with safety-critical software development, including rigorous testing, validation, and documentation practices Experience with safety-critical software development, including rigorous testing, validation, and documentation practices
• A track record of taking initiative and driving projects to completion A track record of taking initiative and driving projects to completion
• Excellent interpersonal skills and a collaborative, pragmatic approach to solving problems 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 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 Proficiency with Python and/or CUDA, ideally with experience in a professional environment
• Background with systems programming, embedded systems, and/or compiler development Background with systems programming, embedded systems, and/or compiler development
• Experience in software performance benchmarking, profiling, and optimizations 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 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 worlds most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If youre creative, autonomous, and love a challenge, come join our team and help us build the future of safe, high-performance AI inference technology!
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You will also be eligible for equity and benefits .
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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