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Remote Nvidia Hardware Engineer Jobs (NOW HIRING)

Nvidia

Senior Software Developer, AI Networking

New York, NY · On-site +1

$59.50 - $78.75/hr

We are working with the latest NVIDIA hardware and technologies. We do full stack benchmarking for ... Sc degree in Computer Science / Software engineering or equivalent experience. * 5+ years of ...

Nvidia

$107K - $141K/yr

... Engineer, Wireless Infrastructure. What you will be doing: * Lead the technology strategy fornext ... Identify, pathfind, and develop new acceleration technologies into next generation NVIDIA hardware.

SpaceXAI

Lead, Hardware Deployment Engineer

Memphis, TN · On-site +1

$120K - $158K/yr

As the Hardware Deployment Engineer Lead, you will own the end-to-end bring-up of GPU compute ... Experience with NVIDIA GB200/GB300 NVL72 or similar rack-scale liquid-cooled GPU systems.

Curtisswright

$144K - $190K/yr

Principal Hardware Engineer - Remote Curtiss Wright is expanding and has multiple openings for experienced Principal Hardware Engineer to join our Defense Solutions Group. This role involves planning ...

PICTOR LABS INC

$89K - $123K/yr

... 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 Packaging Technical Engineer - Hardware

$113K - $151K/yr

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 ...

New

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 ...

Nvidia

Senior Developer Technology Engineer

New York, NY · On-site +1

$59.50 - $78.75/hr

Collaborate with libraries, tools, system software architecture, hardware, and research teams at NVIDIA to influence the design of next-generation programming models, software, and architectures.

Nvidia

Senior CPU Design Engineer

NVIDIA is seeking best-in-class CPU Design Engineers to design the world's leading CPUs. This ... Support hardware engineering activities including chip floor plan, power/clock distribution, chip ...

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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 Aug 21, 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 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.

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 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.

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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 August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $146,230 per year, or $70.3 per hour.

Senior Software Developer, AI Networking

Nvidia

New York, NY • On-site, Remote

$59.50 - $78.75/hr

Full-time

Re-posted 5 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

NVIDIA is changing the world of AI Networking with groundbreaking technology. We are excited to be adding an AI Networking Software Developer to our AI Networking SW development and codesign team. We are working with the latest NVIDIA hardware and technologies. We do full stack benchmarking for Data Center scale systems for AI training/inference and lower level benchmarks. We strive for automation and develop many tools in-house yet adopt community accepted practices and frameworks. Moreover we give back to community developing our own tools in public GitHub repositories. Our goal is to ensure that large-scale systems deliver expected performance in practice, not just on paper, by uncovering bottlenecks and driving continuous improvements.

What you'll be doing:

  • Developing AI networking communication frameworks and applications running in production on the world's largest supercomputers and data centers.

  • Develop production tools and benchmarks used by multiple teams inside and outside NVIDIA.

  • Enable new AI models within our benchmarking infrastructure and deliver insights through end-to-end analysis of large-scale workloads across hardware and software stacks.

  • Design and implement automation systems, including large-scale parameter search to identify optimal configurations across complex systems.

  • Collaborate closely with networking and hardware teams to co-design new features and software interfaces in a fast-paced, evolving environment.

What we need to see:

  • B.Sc., M.Sc degree in Computer Science / Software engineering or equivalent experience.

  • 5+ years of experience.

  • Professional Python development experience. We seek individuals who build maintainable, long-lived tools that do not impose a heavy burden on the team in terms of maintenance.

  • Solid Linux expertise and passion for working extensively in command-line environments.

  • Ability to work across a broad and evolving stack, with a strong drive to learn-from hardware and networking up to large-scale AI systems running across entire clusters

Ways to stand out from the crowd:

  • Knowledge and/or experience with modern AI ecosystem: PyTorch, LLMs, inference and training.

  • Familiarity with cluster orchestration systems such as Slurm or Kubernetes.

  • Knowledge in MPI and HPC, InfiniBand, Ethernet and Networking.

  • Experience in performance optimizations

For two decades, we have pioneered visual computing, and the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning. This new model - where deep neural networks are trained to recognize patterns from massive amounts of data - has shown to be deeply effective at solving some of the most complex problems in everyday life. NVIDIA is widely considered to be one of the technology world's most desirable companies to work for. Are you creative and driven? Do you love a challenge? If so, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 19, 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

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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