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NVIDIA Careers

AI and accelerated computing across data centers, gaming, professional visualization and automotive.

nvidia.com

About the company

Headquarters

Santa Clara, California, United States

Listed on

NASDAQ: NVDA

Industry

AI and accelerated computing

Revenue (FY2026)

$215.938 billion

Net income (FY2026)

$120.067 billion

Employees (FY2026)

42,000 across 38 countries

R&D expense (FY2026)

$18.497 billion

CUDA ecosystem

More than 7.5 million developers

NVIDIA was founded on April 5, 1993 by Jensen Huang, Chris Malachowsky and Curtis Priem. It introduced the GPU in 1999 and CUDA in 2006.

The company reports two operating segments, Compute & Networking and Graphics, and serves the Data Center, Gaming, Professional Visualization and Automotive markets.

For fiscal 2026 NVIDIA reported $215.938 billion in revenue, $120.067 billion in net income and 42,000 employees across 38 countries. Its official India careers site recruits for teams working on AI, automotive, hardware and related technologies.

Key People

Jensen Huang

Founder, President and CEO

Colette Kress

Executive Vice President and CFO

Jay Puri

Executive Vice President, Worldwide Field Operations

Debora Shoquist

Executive Vice President, Operations

Photos

NVIDIA workplace

Interview process at NVIDIA

(3,043 candidate-shared Glassdoor interviews, updated July 21, 2026)

Interview experience

70.1% positive

Interview difficulty

3.25 out of 5

Interview process length

13 days on average, based on 456 reports

Overall experience

EasyDifficult

Prep for your NVIDIA interview with AI

Practise systems, software, CUDA, ASIC and project discussions.

NVIDIA Interview Questions & Answers

Q: What is the difference between a CPU and a GPU?

A: Compare their architectures, latency and throughput goals, then connect each design to workloads it handles well.

Answer by AI
  • Discuss cores and parallelism.
  • Contrast latency with throughput.
  • Use one workload example.

Q: How would you accelerate matrix multiplication with CUDA?

A: Start with the data layout and parallel decomposition, then discuss tiling, shared memory, coalesced access and measurement.

Answer by AI
  • Explain thread and block mapping.
  • Reduce global-memory traffic.
  • Profile before claiming speedup.

Q: How would you calculate the maximum possible speedup from parallelization?

A: Use Amdahl's law, state the serial fraction and processor count, and explain why communication and synchronization reduce practical speedup.

Answer by AI
  • Define every variable.
  • Separate theoretical and measured limits.
  • Mention overheads.

Q: How do you detect a cycle in a linked list?

A: Describe the slow-and-fast-pointer method, prove why the pointers meet when a cycle exists, and give its time and space complexity.

Answer by AI
  • Cover empty and single-node inputs.
  • State O(n) time and O(1) space.
  • Explain the no-cycle exit.

Prep for your NVIDIA interview with AI

Practise systems, software, CUDA, ASIC and project discussions.

NVIDIA Salaries in India (Updated 2026)

Systems Software Engineer

Not specified

₹14 lakh to ₹24 lakh per year

149 Salaries submitted

Software Engineer

Not specified

₹11 lakh to ₹23 lakh per year

125 Salaries submitted

ASIC Engineer

Not specified

₹15 lakh to ₹25 lakh per year

117 Salaries submitted

Senior Software Engineer

Not specified

₹25 lakh to ₹55 lakh per year

107 Salaries submitted

Intern

Not specified

₹4 lakh to ₹6 lakh per year

86 Salaries submitted

Process Executive

Not specified

₹2 lakh to ₹3 lakh per year

76 Salaries submitted

Know your worth at NVIDIA

Compare employee-submitted India salary estimates by role.

Build a standout NVIDIA resume with AI

Connect your engineering depth and measurable impact to the role you want.

Benefits

Employee Stock Purchase Plan
Employee equity participation
Financial wellness programs
Stanford Health Navigator for employees and families
Comprehensive health programs
Emotional well-being programs
Flexible time off
On-the-job training
Tuition reimbursement
Mentorship from experienced teams

Latest News & Updates

July 23, 2026

South Korea outlines its AI future with NVIDIA and partners

At the AI Summit, NVIDIA and Korean leaders discussed expanding the country's AI infrastructure and expertise, including a new joint NVIDIA-KAIST research lab.

#AI #Korea

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July 23, 2026

NVIDIA and KAIST launch joint AI research lab

The collaboration will support agentic AI research with compute contributions, research funding, internships and joint academic-industry pathways.

#Research #AgenticAI

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July 23, 2026

GeForce NOW adds new games and updates

NVIDIA announced nine new cloud-gaming arrivals alongside Path of Exile and Battlefield 6 updates.

#GeForceNOW #Gaming

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July 22, 2026

NVIDIA AI supercomputer comes online at Naval Postgraduate School

A DGX GB300 system is now supporting AI education and research in weather, cybersecurity and disaster-response planning.

#DGX #Education

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July 22, 2026

NVIDIA open sources medical physics simulation framework

The GPU-accelerated Isaac for Healthcare capability helps medical robotics teams model anatomy-device interactions and test robot policies in simulation.

#Healthcare #OpenSource

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NVIDIA FAQ

NVIDIA was founded on April 5, 1993.