Senior Software Engineer, Fabric Networking - GPU (Mumbai)
NVIDIA · Mumbai City
- Experience5–9 yrs
- SalaryNot disclosed
- Work modeonsite
- Posted22 Sept 2026
About NVIDIA
NVIDIA is hiring in Mumbai City in semiconductors electronics. This role looks for around 5+ years of experience.
Skills
- C/C++
- GPU-to-GPU communication
- hardware-device driver development
- system architecture
- operating systems
- operating-system kernel internals
- multi-threaded systems
- distributed systems
- Linux
- networking fundamentals
- high-performance interconnects
- OS virtualization
The role
A software engineer at a semiconductor and artificial intelligence company builds GPU-to-GPU communication software using C/C++ and Linux for high-performance computing and distributed systems. The role also applies CUDA programming and operating-system kernel internals.
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, were 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 chance 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
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .