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Compute Architecture Software Engineer

NVIDIA

Software and Technology Jobs

Compute Architecture Software Engineer

full-timePosted: Sep 25, 2025

Job Description

Join NVIDIA, a leader in advancing computer graphics, PC gaming, and accelerated computing for over 25 years. As an LLM Inference Software Engineer, you will be at the forefront of innovative AI technology, working on the ground-breaking TRTLLM project. This role offers you the exceptional opportunity to accelerate LLM inference using GPU technology, influencing everything from single PCs to clusters with thousands of powerful GPUs. Be part of a team that values creativity, cooperation, and the pursuit of excellence.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.What we need to see: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.Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/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.

Locations

  • Shanghai, China

Salary

Estimated Salary Rangemedium confidence

3,000,000 - 8,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • GPU programmingintermediate
  • LLM inferenceintermediate
  • Pythonintermediate
  • C++intermediate
  • CUDAintermediate
  • deep learning frameworksintermediate
  • deep learning techniquesintermediate
  • software developmentintermediate
  • software optimizationintermediate
  • algorithm implementationintermediate
  • performance analysisintermediate
  • problem-solvingintermediate
  • team collaborationintermediate
  • taking initiativeintermediate

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NVIDIA logo

Compute Architecture Software Engineer

NVIDIA

Software and Technology Jobs

Compute Architecture Software Engineer

full-timePosted: Sep 25, 2025

Job Description

Join NVIDIA, a leader in advancing computer graphics, PC gaming, and accelerated computing for over 25 years. As an LLM Inference Software Engineer, you will be at the forefront of innovative AI technology, working on the ground-breaking TRTLLM project. This role offers you the exceptional opportunity to accelerate LLM inference using GPU technology, influencing everything from single PCs to clusters with thousands of powerful GPUs. Be part of a team that values creativity, cooperation, and the pursuit of excellence.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.What we need to see: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.Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/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.

Locations

  • Shanghai, China

Salary

Estimated Salary Rangemedium confidence

3,000,000 - 8,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • GPU programmingintermediate
  • LLM inferenceintermediate
  • Pythonintermediate
  • C++intermediate
  • CUDAintermediate
  • deep learning frameworksintermediate
  • deep learning techniquesintermediate
  • software developmentintermediate
  • software optimizationintermediate
  • algorithm implementationintermediate
  • performance analysisintermediate
  • problem-solvingintermediate
  • team collaborationintermediate
  • taking initiativeintermediate

Target Your Resume for "Compute Architecture Software Engineer" , NVIDIA

Get personalized recommendations to optimize your resume specifically for Compute Architecture Software Engineer. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Compute Architecture Software Engineer" , NVIDIA

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

China

Answer 10 quick questions to check your fit for Compute Architecture Software Engineer @ NVIDIA.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.