Hpc support engineer Jobs

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Senior Software Engineer, Fabric Networking - GPU

NVIDIA -
Mumbai, Maharashtra

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Job details

Full-time

Qualifications

Operating systems
Doctoral degree
Computer Science
B.Sc
System architecture
Windows
Master's degree
OS Kernels
C++
Electrical experience
C
Bachelor's degree
Distributed systems
M.Sc
Virtualization
Ethernet
Software development
Linux
Electrical Engineering
Debugging

Full 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

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Senior Software Engineer, Fabric Networking - GPU

AI Platform Engineer – Software Integration and Infrastructure

APJ Advisory and Professional Services Sovereign AI Enterprise Architect

Senior Software Engineer – CXI Drivers & Kernel Networking

Customer Support Engineer (Inference), India

FAE Director

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