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Senior Software Engineer, Fabric Networking - GPU

NVIDIA

Software and Technology Jobs

Senior Software Engineer, Fabric Networking - GPU

full-timePosted: Jul 29, 2025

Job Description

NVIDIA is at the forefront of innovation in AI, high-performance computing, and visualization. Our invention—the GPU—has transformed modern computing and powers everything from scientific breakthroughs to autonomous vehicles. As we drive the next wave of artificial intelligence, we're looking for outstanding engineers to join us. Seeking a skilled Senior Software Engineer for our GPU Fabric Networking team, building high-performance communication software for demanding workloads in deep learning and HPC.What You’ll Be doing:Design, develop, and maintain system-level software to support GPU-to-GPU communication.Collaborate with cross-functional hardware and software teams to build next-generation networking solutions.Contribute to scalable and reliable GPU fabric architecture for large compute clusters.Align software development with customer needs and real-world deployment environments.What we need to see:A degree or equivalent experience in Computer Science, Electrical Engineering, or a related field (B.S., M.S., or Ph.D.).5+ years of professional software development experience.Proficiency in C/C++, with strong debugging and system-level problem-solving skills.Experience developing software that interacts with hardware and device drivers.Solid understanding of system architecture, operating systems, and kernel internals.Background in multi-threaded and distributed systems development.Experience with Linux development; familiarity with Windows is a plus.Strong understanding of networking fundamentals and high-performance interconnects (e.g., InfiniBand, Ethernet).Familiarity with OS virtualization technologies like KVM, QEMU, or Hyper-V.Comfortable collaborating with a distributed team across different time zones.Ways to stand out from the crowd:Experience with the CUDA programming model and NVIDIA GPU architecture.Understanding of memory consistency and coherence models.Exposure to static/dynamic code analysis, fuzz testing, or fault injection techniques.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

  • Bengaluru, India

Salary

Estimated Salary Rangemedium confidence

35,000,000 - 70,000,000 INR / yearly

Source: ai estimated

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

Skills Required

  • C/C++intermediate
  • debuggingintermediate
  • system-level problem-solvingintermediate
  • hardware interactionintermediate
  • device driversintermediate
  • system architectureintermediate
  • operating systemsintermediate
  • kernel internalsintermediate
  • multi-threaded systemsintermediate
  • distributed systemsintermediate
  • Linux developmentintermediate
  • Windows developmentintermediate
  • networking fundamentalsintermediate
  • high-performance interconnectsintermediate
  • InfiniBandintermediate
  • Ethernetintermediate
  • OS virtualizationintermediate
  • KVMintermediate
  • QEMUintermediate
  • Hyper-Vintermediate
  • collaborationintermediate
  • distributed team collaborationintermediate
  • CUDA programming modelintermediate
  • NVIDIA GPU architectureintermediate
  • memory consistency modelsintermediate
  • memory coherence modelsintermediate
  • static code analysisintermediate
  • dynamic code analysisintermediate
  • fuzz testingintermediate
  • fault injection techniquesintermediate

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NVIDIA logo

Senior Software Engineer, Fabric Networking - GPU

NVIDIA

Software and Technology Jobs

Senior Software Engineer, Fabric Networking - GPU

full-timePosted: Jul 29, 2025

Job Description

NVIDIA is at the forefront of innovation in AI, high-performance computing, and visualization. Our invention—the GPU—has transformed modern computing and powers everything from scientific breakthroughs to autonomous vehicles. As we drive the next wave of artificial intelligence, we're looking for outstanding engineers to join us. Seeking a skilled Senior Software Engineer for our GPU Fabric Networking team, building high-performance communication software for demanding workloads in deep learning and HPC.What You’ll Be doing:Design, develop, and maintain system-level software to support GPU-to-GPU communication.Collaborate with cross-functional hardware and software teams to build next-generation networking solutions.Contribute to scalable and reliable GPU fabric architecture for large compute clusters.Align software development with customer needs and real-world deployment environments.What we need to see:A degree or equivalent experience in Computer Science, Electrical Engineering, or a related field (B.S., M.S., or Ph.D.).5+ years of professional software development experience.Proficiency in C/C++, with strong debugging and system-level problem-solving skills.Experience developing software that interacts with hardware and device drivers.Solid understanding of system architecture, operating systems, and kernel internals.Background in multi-threaded and distributed systems development.Experience with Linux development; familiarity with Windows is a plus.Strong understanding of networking fundamentals and high-performance interconnects (e.g., InfiniBand, Ethernet).Familiarity with OS virtualization technologies like KVM, QEMU, or Hyper-V.Comfortable collaborating with a distributed team across different time zones.Ways to stand out from the crowd:Experience with the CUDA programming model and NVIDIA GPU architecture.Understanding of memory consistency and coherence models.Exposure to static/dynamic code analysis, fuzz testing, or fault injection techniques.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

  • Bengaluru, India

Salary

Estimated Salary Rangemedium confidence

35,000,000 - 70,000,000 INR / yearly

Source: ai estimated

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

Skills Required

  • C/C++intermediate
  • debuggingintermediate
  • system-level problem-solvingintermediate
  • hardware interactionintermediate
  • device driversintermediate
  • system architectureintermediate
  • operating systemsintermediate
  • kernel internalsintermediate
  • multi-threaded systemsintermediate
  • distributed systemsintermediate
  • Linux developmentintermediate
  • Windows developmentintermediate
  • networking fundamentalsintermediate
  • high-performance interconnectsintermediate
  • InfiniBandintermediate
  • Ethernetintermediate
  • OS virtualizationintermediate
  • KVMintermediate
  • QEMUintermediate
  • Hyper-Vintermediate
  • collaborationintermediate
  • distributed team collaborationintermediate
  • CUDA programming modelintermediate
  • NVIDIA GPU architectureintermediate
  • memory consistency modelsintermediate
  • memory coherence modelsintermediate
  • static code analysisintermediate
  • dynamic code analysisintermediate
  • fuzz testingintermediate
  • fault injection techniquesintermediate

Target Your Resume for "Senior Software Engineer, Fabric Networking - GPU" , NVIDIA

Get personalized recommendations to optimize your resume specifically for Senior Software Engineer, Fabric Networking - GPU. Takes only 15 seconds!

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

Check Your ATS Score for "Senior Software Engineer, Fabric Networking - GPU" , 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

India

Answer 10 quick questions to check your fit for Senior Software Engineer, Fabric Networking - GPU @ NVIDIA.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.