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Remote Nvidia Hardware Engineer Jobs (NOW HIRING)

Nvidia

Senior Software Engineer - Topography

Santa Clara, CA · Remote

$143K - $189K/yr

... edge NVIDIA hardware to ensure GPU to GPU communication is optimized for large-scale workloads ... If you're a creative, curious, and driven technical leader, we want to hear from you! #LI-Remote ...

PICTOR LABS INC

... NVIDIA hardware, and ensuring our inference infrastructure meets FDA and SOC2 compliance ... Remote US Company: Pictor Labs Employment Type: Full-time Responsibilities * Design, development ...

Nvidia

Senior ASIC Design Engineer

Santa Clara, CA · On-site +1

Proven hardware engineering background with a concentration in VLSI and Computer Architecture ... Strong interpersonal skills and ability to work with on-site and remote teams NVIDIA is widely ...

MatX

Hardware System Diagnostic Engineer

Mountain View, CA · On-site +1

$175K - $450K/yr

We are looking for a Diagnostic Engineer to join our Hardware System team. The successful candidate ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

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Remote Nvidia Hardware Engineer information

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$51K

$146.2K

$196.5K

How much do remote nvidia hardware engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for remote nvidia hardware engineer in the United States is $146,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $163,000.00 per year, depending on experience, location, and employer.

What does a Remote Nvidia Hardware Engineer do?

A Remote Nvidia Hardware Engineer focuses on designing, developing, and testing hardware components and systems for Nvidia products, such as graphics processing units (GPUs) and related technologies, while working from a remote location. They collaborate with cross-functional teams to ensure hardware solutions meet performance, reliability, and efficiency standards. Their work may include circuit design, board layout, hardware debugging, and supporting the integration of Nvidia hardware into various devices. Remote engineers use digital communication and collaboration tools to work effectively with global teams and contribute to innovative hardware solutions.

What is the difference between Remote Nvidia Hardware Engineer vs Remote Nvidia Software Engineer?

AspectRemote Nvidia Hardware EngineerRemote Nvidia Software Engineer
Required CredentialsBachelor's or higher in Electrical Engineering, Computer Engineering, or related; hardware design certificationsBachelor's or higher in Computer Science, Software Engineering, or related; programming certifications
Work EnvironmentDesigning and testing hardware components, collaborating with hardware teamsDeveloping software, drivers, and algorithms for Nvidia products
Industry UsageHardware development for GPUs, AI accelerators, and embedded systemsSoftware development for drivers, SDKs, and AI frameworks

The main difference is that Remote Nvidia Hardware Engineers focus on designing and testing physical hardware components, while Remote Nvidia Software Engineers develop the software that runs on Nvidia hardware. Both roles require technical expertise but differ in their focus areas within the Nvidia ecosystem.

What are some common challenges faced by Remote Nvidia Hardware Engineers, and how can they be addressed?

Remote Nvidia Hardware Engineers often encounter challenges related to effective collaboration and communication, especially when working on complex hardware design and testing with distributed teams. Staying aligned with project milestones, ensuring access to necessary hardware resources, and troubleshooting remotely can also be demanding. These challenges can be addressed by leveraging robust collaboration tools, maintaining clear documentation, and scheduling regular virtual meetings to synchronize efforts. Additionally, using remote desktop solutions and cloud-based simulation environments can help bridge the gap when physical access to hardware is limited.

What are the key skills and qualifications needed to thrive as a Remote Nvidia Hardware Engineer, and why are they important?

To thrive as a Remote Nvidia Hardware Engineer, you need a strong background in electrical or computer engineering, experience with GPU architecture, and proficiency in hardware design and validation. Expertise with tools such as Verilog/VHDL, simulation environments, and familiarity with Nvidia’s development platforms or relevant certifications is common. Strong problem-solving abilities, effective remote communication, and collaborative teamwork skills set top candidates apart. These competencies ensure efficient development, troubleshooting, and innovation in high-performance hardware solutions within distributed teams.
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What cities are hiring for Remote Nvidia Hardware Engineer jobs? Cities with the most Remote Nvidia Hardware Engineer job openings:
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Remote Nvidia Hardware Engineer jobs near you
Infographic showing various Remote Nvidia Hardware Engineer job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $146,230 per year, or $70.3 per hour.
Senior Software Engineer - Topography

Senior Software Engineer - Topography

Nvidia

Santa Clara, CA • Remote

$143K - $189K/yr

Full-time

Posted 9 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

Are you passionate about Kubernetes and AI and want to help build the best platform for ML/AI infrastructure? Do you thrive when your work directly empowers teams to push the boundaries of what's possible? We're a collaborative group of engineers, architects, and SREs who are passionate about building and nurturing the declarative, Kubernetes-native control plane that powers GPU-accelerated infrastructure across multiple cloud providers.

We are building a platform that gathers topology related information from multiple sources and systems, aggregates and normalizes that data, and makes it available to provisioning systems and workload schedulers.We are looking for Senior Software Engineer who will be directly involved in not only helping maintain this critical open-source project for the community, but interfacing with bleeding edge NVIDIA hardware to ensure GPU to GPU communication is optimized for large-scale workloads across multiple providers.

What you'll be doing:

  • Building a system that gathers topology related information from multiple sources

  • Taking data collected to aggregate and normalize the data to make it available for provisioning systems and workload schedulers

  • Direct contributor in a critical open-source project, Topograph

  • Interacting with the latest and greatest hardware to ensure new product launches have the most efficient scheduling capabilities

What we need to see:

  • At least 8 years of relevant experience

  • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field, or equivalent experience.

  • Strong production engineering experience in Go or another systems language.

  • Experience with distributed systems, Kubernetes, Slurm/Slinky, Linux, containers, APIs, and CI.

  • Ability to design clean interfaces between discovery logic, data models, and scheduler output.

  • Familiarity with networking, cluster topology, cloud infrastructure, or large-scale compute systems.

  • Excellent testing, debugging, documentation, and code review habits:

Ways to stand out from the crowd:

  • Experience with GPU clusters, NVLink, InfiniBand, Ethernet fabrics, or HPC.

  • Hands-on work with Kubernetes scheduling, Slurm/Slinky topology, DRA, Kueue, Slinky, or device plugins.

  • Experience integrating with cloud provider topology APIs or cluster metadata systems.

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. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence. 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 a creative, curious, and driven technical leader, we want to hear from you!

#LI-Remote

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 July 5, 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

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

Year founded

1993

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