Nvidia Senior Software Engineer Deep Learning Inference - New HW Enablement 

United States, California 

571192154

What you'll be doing:

• Orchestrate the integration of new hardware functionalities into TensorRT's

  compiler
  and runtime.

• Work closely with teams and stakeholders across the whole hardware and software stack to understand and leverage new features to improve TensorRT’s functionality and performance.

• Guide the design and implementation of robust, high-quality

  C++
  code in alignment with Modern
  C++
  standards.

• Contribute to the continuous improvement of software practices and processes within the team.

What we need to see:

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

• At least 12 years of relevant software development experience.

• Strong

  C++
  skills, including knowledge of and application of best practices with C++11 and C++14.

• Familiarity with deep learning concepts and frameworks.

• 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:

• 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) & frameworks for inference.

• Background with C++17.