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60 Nvidia Software Engineer Jobs Hiring in CA

Nvidia

Software Engineer, Linux Graphics

Santa Clara, CA · On-site

$164K - $203K/yr

NVIDIA's invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern ... NVIDIA is searching for world-class software engineers to join the Linux Graphics driver team. This ...

Nvidia

Embedded Software Engineer - RISCV

Santa Clara, CA · On-site

$154K - $203K/yr

NVIDIA is searching for a highly motivated, creative embedded software engineer to join the GPU Software team. As someone who is hardworking and passionate about their work, you will design key ...

Nvidia

Senior Tegra Software Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... As a Senior Tegra Software Engineer, you'll collaborate with a hardworking group, moving forward ...

Nvidia

System Software Engineer - Tegra

Santa Clara, CA · On-site

$203K - $240K/yr

We are now hiring a System Software Engineer to join the NVIDIA's System Software group focusing on Data Center Server Platform Diagnostics. You will join a dynamic crew that builds and maintains ...

Nvidia

Systems Software Engineer - AI and Cloud

Santa Clara, CA · On-site

$70.50 - $91.50/hr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... As a versatile System Software Engineer - AI and Cloud, you will be part of a team of dedicated ...

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Nvidia Jobs Information

What is it like to work at Nvidia?

Nvidia is known for its collaborative and innovative culture, prioritizing teamwork and creativity to drive technological advancements. The company's structure is organized into various teams, including research and development, engineering, and sales, with a focus on fostering open communication and knowledge sharing across departments. Working at Nvidia may appeal to candidates who are passionate about artificial intelligence, graphics, and high-performance computing, as the company offers opportunities to contribute to cutting-edge projects and collaborate with experts in the field.

What makes Nvidia an attractive place to work?

Nvidia is a leading technology company in the field of artificial intelligence, graphics processing units, and high-performance computing, with a strong reputation for innovation and industry leadership. The company's workplace culture values collaboration, creativity, and innovation, with opportunities for employees to work on cutting-edge projects and contribute to the development of groundbreaking technologies. Joining Nvidia offers professionals a chance to be part of a dynamic and forward-thinking organization, with opportunities for growth, professional development, and making a meaningful impact in the tech industry.

Do workers at Nvidia get paid breaks?

Sometimes. Only some people get paid breaks.
42% of people say they don’t get paid breaks.
Based on data from 12 people who took the Breakroom Quiz between December 2024 and August 2026.

Does Nvidia pay people when they’re sick?

Yes. Most people get paid when they’re sick.
76% of people say they would get paid if they were sick but scheduled to work.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and August 2026.

At Nvidia, are sick days and vacation days separate paid time off?

Sick days and vacation days are separate paid time off.
92% of people say they don’t have to use vacation days when they’re out sick.
Based on data from 13 people who took the Breakroom Quiz between June 2025 and June 2026.

Is the health insurance from Nvidia affordable enough for their workers?

Most people say the health insurance costs are okay.
100% of people say the health insurance costs are okay
Based on data from 13 people who took the Breakroom Quiz between June 2025 and August 2026.

Do people get paid time off at Nvidia?

Most people get paid time off work.
93% of people say they get paid time off.
Based on data from 14 people who took the Breakroom Quiz between June 2025 and August 2026.

How far ahead of time do people find out their work schedule?

Only some people find out their schedule four weeks ahead of time.
  • 67% of people with changing schedules find out their shifts one week or less ahead of time.
  • 0% of people with changing schedules find out their shifts two weeks ahead of time.
  • 0% of people with changing schedules find out their shifts three weeks ahead of time.
  • 33% of people with changing schedules find out their shifts four weeks or more ahead of time.

Based on data from 6 people who took the Breakroom Quiz between April 2025 and March 2026.

Do workers at Nvidia worry about hours?

Most people don’t worry about getting enough hours.
83% of people report they don’t worry about getting enough hours.
Based on data from 12 people who took the Breakroom Quiz between December 2024 and March 2026.

Do Nvidia workers get to choose the shifts they work?

Some people don’t get to choose which shifts they work.
40% report that they don’t have enough control over which shifts they work.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and January 2026.

How easy is it for Nvidia workers to change shifts?

Most people find it easy to change shifts.
88% of people report that it’s easy to change shifts if they need to.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and March 2026.

How easy is it to get time off at Nvidia?

Most people find it easy to get time off.
100% of people report it’s easy to get time off.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and June 2026.

Do Nvidia managers change schedules at the last minute?

Most managers don’t change people’s schedules at the last minute.
92% of people say their manager doesn’t change their shift schedule at the last minute.
Based on data from 13 people who took the Breakroom Quiz between December 2024 and March 2026.

Do jobs at Nvidia spill into time workers aren’t paid for?

Rarely. The job doesn't usually spill into unpaid time.
17% of people report that their job takes up time that they don’t get paid for.
Based on data from 12 people who took the Breakroom Quiz between December 2024 and March 2026.

How easy is it to take sick days at Nvidia?

Most people find it easy to take sick days.
100% of people report that it’s easy to take time off if they are sick.
Based on data from 18 people who took the Breakroom Quiz between December 2024 and August 2026.

Do people at Nvidia feel treated with respect by their managers?

Most people feel treated with respect by their managers.
100% of people say they’re treated with respect by their managers.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and August 2026.

Do people at Nvidia get to take their breaks without interruption?

Most people get breaks without interruption.
94% of people report that they get to take their breaks without interruption.
Based on data from 18 people who took the Breakroom Quiz between December 2024 and August 2026.

Is it stressful to work at Nvidia?

Some people feel stressed here.
44% of people say they often feel stressed at work.
Based on data from 18 people who took the Breakroom Quiz between December 2024 and August 2026.

Do people at Nvidia enjoy their jobs?

Most people enjoy their job.
100% of people report they enjoy their job.
Based on data from 16 people who took the Breakroom Quiz between December 2024 and August 2026.

Do people at Nvidia recommend working with their team?

Most people recommend working with their team.
78% of people report that they would recommend working with their immediate team to a friend.
Based on data from 18 people who took the Breakroom Quiz between December 2024 and August 2026.

Do people get enough training when they start at Nvidia?

Some people didn’t get enough training when they started.
41% of people report they didn’t get enough training when they started working here.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and August 2026.

Do people get support to advance at Nvidia?

Most people are given support to advance their career here.
In the last year, 94% of people report being given support to advance their career here.
Based on data from 16 people who took the Breakroom Quiz between December 2024 and August 2026.

Do people think Nvidia’s headquarters understands what’s happening where they work?

Most people think headquarters understands what’s happening where they work.
69% of people think that this employer’s headquarters or owners have a good understanding of what’s really happening where they work.
Based on data from 16 people who took the Breakroom Quiz between December 2024 and August 2026.

Do workers feel well informed about how Nvidia is doing?

Most people feel well informed about how the company is doing.
88% of people feel that they are kept well informed about how the company is doing as a whole.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and August 2026.

What are the most popular jobs at Nvidia in California?

Infographic showing various Software Engineer job openings at Nvidia in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 11% Hybrid, and 2% Remote job distribution.

Senior Software Engineer, AI Inference Systems

Nvidia Corporation

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Re-posted 20 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Job description

We are seeking highly skilled and motivated software engineers to join us and build AI inference systems that serve large-scale models with extreme efficiency. You'll architect and implement high-performance inference stacks, optimize GPU kernels and compilers, drive industry benchmarks, and scale workloads across multi-GPU, multi-node, and multi-cloud environments. You'll collaborate across inference, compiler, scheduling, and performance teams to push the frontier of accelerated computing for AI.
What you'll be doing:
  • Contribute features to vLLM that empower the newest models with the latest NVIDIA GPU hardware features; profile and optimize the inference framework (vLLM) with methods like speculative decoding, data/tensor/expert/pipeline-parallelism, prefill-decode disaggregation.
  • Develop, optimize, and benchmark GPU kernels (hand-tuned and compiler-generated) using techniques such as fusion, autotuning, and memory/layout optimization; build and extend high-level DSLs and compiler infrastructure to boost kernel developer productivity while approaching peak hardware utilization.
  • Define and build inference benchmarking methodologies and tools; contribute both new benchmark and NVIDIA's submissions to the industry-leading MLPerf Inference benchmarking suite.
  • Architect the scheduling and orchestration of containerized large-scale inference deployments on GPU clusters across clouds.
  • Conduct and publish original research that pushes the pareto frontier for the field of ML Systems; survey recent publications and find a way to integrate research ideas and prototypes into NVIDIA's software products.

What we need to see:
  • Bachelor's degree (or equivalent expeience) in Computer Science (CS), Computer Engineering (CE) or Software Engineering (SE) with 7+ years of experience; alternatively, Master's degree in CS/CE/SE with 5+ years of experience; or PhD degree with the thesis and top-tier publications in ML Systems, GPU architecture, or high-performance computing.
  • Strong programming skills in Python and C/C++; experience with Go or Rust is a plus; solid CS fundamentals: algorithms & data structures, operating systems, computer architecture, parallel programming, distributed systems, deep learning theories.
  • Knowledgeable and passionate about performance engineering in ML frameworks (e.g., PyTorch) and inference engines (e.g., vLLM and SGLang).
  • Familiarity with GPU programming and performance: CUDA, memory hierarchy, streams, NCCL; proficiency with profiling/debug tools (e.g., Nsight Systems/Compute).
  • Experience with containers and orchestration (Docker, Kubernetes, Slurm); familiarity with Linux namespaces and cgroups.
  • Excellent debugging, problem-solving, and communication skills; ability to excel in a fast-paced, multi-functional setting.

Ways to stand out from the crowd
  • Experience building and optimizing LLM inference engines (e.g., vLLM, SGLang).
  • Hands-on work with ML compilers and DSLs (e.g., Triton, TorchDynamo/Inductor, MLIR/LLVM, XLA), GPU libraries (e.g., CUTLASS) and features (e.g., CUDA Graph, Tensor Cores).
  • Experience contributing to containerization/virtualization technologies such as containerd/CRI-O/CRIU.
  • Experience with cloud platforms (AWS/GCP/Azure), infrastructure as code, CI/CD, and production observability.
  • Contributions to open-source projects and/or publications; please include links to GitHub pull requests, published papers and artifacts.

At NVIDIA, we believe artificial intelligence (AI) will fundamentally transform how people live and work. Our mission is to advance AI research and development to create groundbreaking technologies that enable anyone to harness the power of AI and benefit from its potential. Our team consists of experts in AI, systems and performance optimization. Our leadership includes world-renowned experts in AI systems who have received multiple academic and industry research awards. If you're excited to build systems, kernels, and tools that make large-scale AI faster, more efficient, and easier to deploy, we'd love to hear from you.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 2, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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