Senior Software Engineer, Fabric Networking - GPU at NVIDIA

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, High-Performance Computing, HPCIndustries

Requirements

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

Responsibilities

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

Skills

Key technologies and capabilities for this role

C/C++LinuxCUDAInfiniBandEthernetKVMQEMUHyper-Vdevice driversmulti-threaded programmingdistributed systemskernel internalsnetworkingNVIDIA GPUmemory coherence

Questions & Answers

Common questions about this position

What are the required qualifications for the Senior Software Engineer role?

Candidates need a degree or equivalent experience in Computer Science, Electrical Engineering, or a related field (B.S., M.S., or Ph.D.), plus 5+ years of professional software development experience.

What key skills are required for this position?

Proficiency in C/C++, strong debugging and system-level problem-solving skills, experience with hardware and device drivers, understanding of system architecture, operating systems, kernel internals, multi-threaded and distributed systems, Linux development, and networking fundamentals like InfiniBand or Ethernet are required.

What is the compensation like at NVIDIA for this role?

NVIDIA offers highly competitive salaries and a comprehensive benefits package. For more details, visit www.nvidiabenefits.com/.

Is this a remote position, or is there a location requirement?

This information is not specified in the job description.

What experience will make me stand out as a candidate?

Experience with the CUDA programming model and NVIDIA GPU architecture, understanding of memory consistency and coherence models, and exposure to static/dynamic code analysis, fuzz testing, or fault injection techniques will help you stand out.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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