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Senior Manager, Accelerated Compute Systems

NVIDIA

Engineering Jobs

Senior Manager, Accelerated Compute Systems

full-timePosted: Sep 9, 2025

Job Description

We are now looking for a Senior Manager for Accelerated Compute Systems!NVIDIA is currently hiring for a Sr Technical Management position focused on Accelerated Compute Systems. We are pioneering software and system architectures that power high-performance computing, scientific computing, machine learning, AI, datacenter, and automotive platforms. This role offers a unique opportunity to make a meaningful impact in a fast-paced, innovation-driven environment. Join NVIDIA and lead the future of Accelerated ComputingWhat you’ll be doing:Leading a team of accelerated compute architects.Collaborating closely with hardware design, software engineering, product, and research teams to shape the direction of NVIDIA’s computing platforms.Conducting in-depth performance analysis and optimization for current and next-generation NVIDIA GPUs.Designing and refining core parallel algorithms, data structures, and reference implementations for GPU acceleration.Exploring the interaction between hardware and software architectures to improve programming models and application performance.Engaging in software-hardware co-design through deep dives into accelerated computing applications.What we need to see:A Bachelors Degree (or equivalent experience) in Computer Science, Electrical Engineering, or related field.10+ overall years of industry experience, with at least 4 of those years in a management roleStrong foundation in mathematics, especially linear algebra and numerical methods.Passion for performance optimization and system-level thinking.Experience with GPU programming models such as CUDA or OpenCL.Familiarity with multi-node communication APIs like MPI or OpenSHMEM/NVSHMEMProficiency in C/C++, with a solid grasp of software design, algorithms, and programming techniques.Experience with threading APIs for multicore CPUs and Unix-style IPCWorking knowledge of Python.Excellent communication, organization, and problem-solving skills.NVIDIA is widely recognized as one of the most desirable employers in the tech industry, and is increasingly known as “the AI computing company." We’re home to some of the brightest minds in the world, working together to push the boundaries of what’s possible.Are you creative, collaborative, and excited by the challenge of pushing architectures to their limits? If so, we want to hear from you!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 425,500 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until September 13, 2025.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

  • Santa Clara, CA, US

Salary

Estimated Salary Rangemedium confidence

35,000,000 - 55,000,000 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 programming models (CUDA or OpenCL)intermediate
  • Multi-node communication APIs (MPI or OpenSHMEM/NVSHMEM)intermediate
  • C/C++intermediate
  • Pythonintermediate
  • Threading APIs for multicore CPUsintermediate
  • Unix-style IPCintermediate
  • Linear algebraintermediate
  • Numerical methodsintermediate
  • Performance optimizationintermediate
  • System-level thinkingintermediate
  • Software designintermediate
  • Algorithmsintermediate
  • Programming techniquesintermediate
  • Communication skillsintermediate
  • Organization skillsintermediate
  • Problem-solving skillsintermediate
  • Performance analysisintermediate
  • Optimizationintermediate
  • Parallel algorithmsintermediate
  • Data structuresintermediate
  • Reference implementationsintermediate
  • GPU accelerationintermediate
  • Software-hardware co-designintermediate

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NVIDIA logo

Senior Manager, Accelerated Compute Systems

NVIDIA

Engineering Jobs

Senior Manager, Accelerated Compute Systems

full-timePosted: Sep 9, 2025

Job Description

We are now looking for a Senior Manager for Accelerated Compute Systems!NVIDIA is currently hiring for a Sr Technical Management position focused on Accelerated Compute Systems. We are pioneering software and system architectures that power high-performance computing, scientific computing, machine learning, AI, datacenter, and automotive platforms. This role offers a unique opportunity to make a meaningful impact in a fast-paced, innovation-driven environment. Join NVIDIA and lead the future of Accelerated ComputingWhat you’ll be doing:Leading a team of accelerated compute architects.Collaborating closely with hardware design, software engineering, product, and research teams to shape the direction of NVIDIA’s computing platforms.Conducting in-depth performance analysis and optimization for current and next-generation NVIDIA GPUs.Designing and refining core parallel algorithms, data structures, and reference implementations for GPU acceleration.Exploring the interaction between hardware and software architectures to improve programming models and application performance.Engaging in software-hardware co-design through deep dives into accelerated computing applications.What we need to see:A Bachelors Degree (or equivalent experience) in Computer Science, Electrical Engineering, or related field.10+ overall years of industry experience, with at least 4 of those years in a management roleStrong foundation in mathematics, especially linear algebra and numerical methods.Passion for performance optimization and system-level thinking.Experience with GPU programming models such as CUDA or OpenCL.Familiarity with multi-node communication APIs like MPI or OpenSHMEM/NVSHMEMProficiency in C/C++, with a solid grasp of software design, algorithms, and programming techniques.Experience with threading APIs for multicore CPUs and Unix-style IPCWorking knowledge of Python.Excellent communication, organization, and problem-solving skills.NVIDIA is widely recognized as one of the most desirable employers in the tech industry, and is increasingly known as “the AI computing company." We’re home to some of the brightest minds in the world, working together to push the boundaries of what’s possible.Are you creative, collaborative, and excited by the challenge of pushing architectures to their limits? If so, we want to hear from you!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 425,500 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until September 13, 2025.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

  • Santa Clara, CA, US

Salary

Estimated Salary Rangemedium confidence

35,000,000 - 55,000,000 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 programming models (CUDA or OpenCL)intermediate
  • Multi-node communication APIs (MPI or OpenSHMEM/NVSHMEM)intermediate
  • C/C++intermediate
  • Pythonintermediate
  • Threading APIs for multicore CPUsintermediate
  • Unix-style IPCintermediate
  • Linear algebraintermediate
  • Numerical methodsintermediate
  • Performance optimizationintermediate
  • System-level thinkingintermediate
  • Software designintermediate
  • Algorithmsintermediate
  • Programming techniquesintermediate
  • Communication skillsintermediate
  • Organization skillsintermediate
  • Problem-solving skillsintermediate
  • Performance analysisintermediate
  • Optimizationintermediate
  • Parallel algorithmsintermediate
  • Data structuresintermediate
  • Reference implementationsintermediate
  • GPU accelerationintermediate
  • Software-hardware co-designintermediate

Target Your Resume for "Senior Manager, Accelerated Compute Systems" , NVIDIA

Get personalized recommendations to optimize your resume specifically for Senior Manager, Accelerated Compute Systems. Takes only 15 seconds!

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

Check Your ATS Score for "Senior Manager, Accelerated Compute Systems" , 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

United States of America

Answer 10 quick questions to check your fit for Senior Manager, Accelerated Compute Systems @ NVIDIA.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.