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Remote Nvidia Hardware Engineer Jobs in Seattle, WA

Carbon Robotics

Wiring Harness Engineer

Seattle, WA · On-site +1

$125K - $150K/yr

... remote supervision for real-time interventions if required. Carbon Robotics is based in Seattle ... Responsible for the design (including selection of harness components and hardware, connectors ...

CoreWeave

HPC Performance Engineer

Seattle, WA · On-site +1

$165K - $242K/yr

... of hardware updates; and providing data, metrics, dashboards, and analysis to substantiate ... Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs * Docker, kubernetes (k8s ...

Carbon Robotics

Technical Recruiter

Seattle, WA · On-site +1

$120K - $135K/yr

... remote supervision for real-time interventions if required. Carbon Robotics is based in Seattle ... hardware, robotics, and AI/ML engineering roles. This position is based in Seattle with an ...

DEWESoft, LLC

Sales Engineer - Washington

Seattle, WA · Remote

$80K - $110K/yr

Remote (must be located in WA) Type: Full-Time Travel: 50-75% (Customer visits, hands-on demos, and ... Get hands-on with cutting-edge signal conditioning, sensors, and DAQ hardware. Show--don't just ...

Buildkite

Staff GTM Engineer

Pacific, WA · Remote

$220K - $240K/yr

Companies including Canva, Meta, Mistral AI, and NVIDIA rely on Buildkite to run builds, tests, and ... A remote-work allowance for home-office kit, co-working, or working elsewhere - we want you to have ...

Zones

Hardware Program Coordinator

Seattle, WA · Remote

$31.25 - $36.05/hr

This is a 3-month temporary role with possible extension. #LI-JL1 #LI-Remote Zones offers a ... If you're interested in working on the cutting edge of IT innovation, sales, engineering ...

Posted today

Zones LLC.

Hardware Program Coordinator

Seattle, WA · Remote

This is a 3-month temporary role with possible extension. #LI-JL1 #LI-Remote Zones offers a ... If you're interested in working on the cutting edge of IT innovation, sales, engineering ...

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Remote Nvidia Hardware Engineer information

See Seattle, WA salary details

$58K

$166.4K

$223.6K

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

As of Aug 7, 2026, the average yearly pay for remote nvidia hardware engineer in Seattle, WA is $166,414.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,500.00 and $185,500.00 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.
What are the most commonly searched types of Nvidia Hardware Engineer jobs in Seattle, WA? The most popular types of Nvidia Hardware Engineer jobs in Seattle, WA are:
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Remote Nvidia Hardware Engineer jobs near you

Senior Solutions Architect, AI Cloud Services

Nvidia

Seattle, WA • On-site, Remote

Full-time

Re-posted 24 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

Interested in being a part of a team that brings Artificial Intelligence (AI) to some of the biggest customers in the world? NVIDIA is looking for an experienced Solutions Architect to assist customers with adoption of GPU hardware and software as well as building Machine Learning (ML), Deep Learning (DL), Data Analytics and other related topics on various Cloud Computing Platforms. As part of the NVIDIA Solutions Architecture team, you will be the first line of technical expertise between NVIDIA and our customers and will engage developers, researchers, and data scientists with some of NVIDIA's most strategic technology as well as work closely with business and engineering on product strategy. We are looking for a Solutions Architect to help drive end-to-end technology solutions incorporating NVIDIA's full stack of technologies for customers business needs.

What you'll be doing:

  • Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA's groundbreaking software and hardware technologies.

  • Build and deploy solutions at scale using NVIDIA's AI software on cloud-based GPU platforms.

  • Build custom PoCs for solutions that address customer's critical business needs while applying NVIDIA's hardware and software technologies.

  • Partner with Sales Account Managers or Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.

  • Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.

  • Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.

What we need to see:

  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.

  • 4+ years of Solutions Engineering (or similar Sales Engineering roles) experience.

  • Established track record of deploying AI/ ML solutions in cloud environments including AWS, GCP, Azure or OCI

  • Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc.

  • Effective time management and capable of balancing multiple tasks.

  • Ability to communicate ideas clearly through documents, presentation, etc.

Ways to stand out from the crowd:

  • AWS, GCP, Azure or OCI Professional Solution Architect Certifications

  • Hands-on experience with NVIDIA GPUs and SDKs (i.e. CUDA, Triton, TensorRT-LLM, etc.)

  • Deep understanding of the full software development lifecycle, including best practices for system design, architectural patterns, and comprehensive testing.

  • Solid working knowledge of Python

  • System-level experience, specifically GPU-based systems

We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and industry events. We are open to remote work locations!

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 in the world working for us. If you're creative and autonomous, 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 August 10, 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

Nvidia logo

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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