Compute Architecture Software Engineer
Indexed description
What You'll Be Doing
- You will develop and optimize software solutions to accelerate LLM inference using GPU technology.
- Collaborate closely with a world-class team of engineers to implement and refine GPU-based algorithms.
- Analyze and determine the most effective methods to improve performance, ensuring seamless execution across diverse computing environments.
- Engage in both individual and team projects, contributing to NVIDIA's mission of leading the AI revolution.
- Work in an empowering and inclusive environment to successfully implement groundbreaking AI solutions.
- 5+ working years' experience in software engineering, particularly in GPU programming and LLM inference.
- Strong proficiency in programming languages such as Python, C++, and CUDA.
- A solid understanding of deep learning frameworks and techniques.
- Outstanding problem-solving skills and the ability to work collaboratively in a team setting.
- Ambitious approach with a proven track record of taking initiative and delivering results.
- BS or above degree in Computer Science, Engineering, or a related field, or equivalent experience.
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.
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