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20 Nvidia Research Software Engineer Jobs Hiring Near You

Nvidia Corporation

Software Engineer, OpenShell

... NVIDIA research, understand where they matter for OpenShell, validate their impact through hands-on ... What you'll need: * 8+ years of professional practical experience in research engineering, software ...

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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.
45% of people say they don’t get paid breaks.
Based on data from 11 people who took the Breakroom Quiz between December 2024 and June 2026.

Does Nvidia pay people when they’re sick?

Yes. Most people get paid when they’re sick.
75% of people say they would get paid if they were sick but scheduled to work.
Based on data from 16 people who took the Breakroom Quiz between December 2024 and June 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 12 people who took the Breakroom Quiz between June 2025 and June 2026.

Do people get paid time off at Nvidia?

Most people get paid time off work.
100% of people say they get paid time off.
Based on data from 13 people who took the Breakroom Quiz between June 2025 and June 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 17 people who took the Breakroom Quiz between December 2024 and June 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 16 people who took the Breakroom Quiz between December 2024 and June 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 17 people who took the Breakroom Quiz between December 2024 and June 2026.

Is it stressful to work at Nvidia?

Some people feel stressed out here.
47% of people say they often feel stressed out at work.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and June 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 15 people who took the Breakroom Quiz between December 2024 and June 2026.

Do people at Nvidia recommend working with their team?

Most people recommend working with their team.
76% of people report that they would recommend working with their immediate team to a friend.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and June 2026.

Do people get enough training when they start at Nvidia?

Some people didn’t get enough training when they started.
38% of people report they didn’t get enough training when they started working here.
Based on data from 16 people who took the Breakroom Quiz between December 2024 and June 2026.

Do people get support to advance at Nvidia?

Most people are given support to advance their career here.
In the last year, 93% of people report being given support to advance their career here.
Based on data from 15 people who took the Breakroom Quiz between December 2024 and June 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.
67% 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 15 people who took the Breakroom Quiz between December 2024 and June 2026.

Do workers feel well informed about how Nvidia is doing?

Most people feel well informed about how the company is doing.
94% of people feel that they are kept well informed about how the company is doing as a whole.
Based on data from 16 people who took the Breakroom Quiz between December 2024 and June 2026.
What other companies are hiring for Research Software Engineer jobs?
What are the most popular jobs at Nvidia?
What are the most popular categories at Nvidia?
Infographic showing various Research Software Engineer job openings at Nvidia in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 84% Physical, 14% Hybrid, and 2% Remote job distribution.

Software Engineer, OpenShell

Nvidia Corporation

Remote

Full-time

Posted 25 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

Are you ready to translate groundbreaking AI research into secure, production-grade systems? Want to shape the next generation of AI agent infrastructure? Join us!
At NVIDIA OpenShell, we are building the runtime infrastructure for secure, scalable, production-grade AI agents. As an OpenShell Research Engineer, we will look to you to help bring the latest advances in agentic systems into the runtime, tools, and workflows that enterprise builders rely on.
This role sits at the intersection of research, product, and engineering. We expect you to identify promising methods from academia, industry, open source, and internal NVIDIA research, understand where they matter for OpenShell, validate their impact through hands-on prototypes, benchmarks, and real agent workflows, and help us integrate the best ideas into the product.
What You'll be Doing:
  • Track the cutting edge: How are agentic systems evolving? You'll follow research in tool use, planning, memory, evaluation, self-improvement, multi-agent workflows, runtime infrastructure, and agent safety/security.
  • Bridge research and product: Identify research ideas that can meaningfully improve OpenShell and translate them into concrete product opportunities.
  • Benchmark and adapt: Reproduce and test promising methods from papers, open-source projects, industry work, and internal NVIDIA research.
  • Build rapid prototypes: Create hands-on proof-of-concepts using OpenShell, including agent harnesses, evaluation loops, self-improving workflows, and runtime-native developer experiences.
  • Red-team systems: Design evaluation and red-team harnesses that measure agent reliability, usefulness, scalability, safety, security, and developer experience.
  • Secure the workflow: Help us design secure-by-default workflows for agents operating with tools, code, files, credentials, and enterprise systems.
  • Partner across teams: Collaborate closely with engineering, product, design, research, solutions, and developer-facing teams to move ideas from prototype to product.

What you'll need:
  • 8+ years of professional practical experience in research engineering, software development, or a related technical field
  • MS/PhD in Computer Science, Physics, or a related field or equivalent experience
  • A strong background in turning complex research into reusable products, tools, demos, benchmarks, or production systems at scale.
  • Deep experience in several of the following: LLMs, agent harnesses, multimodal generative models, evaluation frameworks, synthetic data generation, post-training, inference infrastructure/optimization, adversarial ML, or agent safety/security.
  • Demonstrated ability to drive independent technical investigation: survey relevant work, run experiments, form a clear point of view, and communicate findings clearly.
  • Strong product sense and care for UX and AX: tools should be intuitive for developers and ergonomic for agents.
  • A focus on real-world impact: we want research to become enterprise capabilities, reference implementations, developer workflows, or product improvements.
  • Outstanding team orientation and comfort collaborating across research, engineering, product, design, solutions, and developer-facing teams.

Ways to stand out from the crowd:
  • Experience with secure agent runtimes, tool sandboxing, capability-based security, or enterprise policy systems.
  • Experience with compliance or enterprise governance requirements such as auditability, data retention, access control, SOC2, HIPAA, GDPR, or regulated deployment environments.
  • Experience with LLM inference infrastructure, model serving, or inference optimization using tools such as Triton, TensorRT-LLM, vLLM, SGLang, Ray, Kubernetes, or cloud GPU platforms.
  • Experience integrating inference backends into agentic systems, including routing across models, tool-aware context management, streaming, structured outputs, retries, monitoring, and cost/performance optimization.
  • Experience developing or maintaining open-source software in AI agents, LLM systems, developer tooling, ML infrastructure, model serving, or related areas.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.
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.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 4, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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

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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

Year founded

1993

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