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Remote Electrical Engineer Nvidia Jobs in Bothell, WA

City of Seattle, WA

Assistant Electrical Engineer

Seattle, WA · On-site +1

$49.16 - $53.15/hr

Classified Civil Service, Regular, Full-Time Remote Employment: Flexible/Hybrid Job Number: 2026 ... In this position you will provide entry-level electrical engineering duties to support projects and ...

CoreWeave

HPC Performance Engineer

Seattle, WA · On-site +1

$165K - $242K/yr

Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs * Docker, kubernetes (k8s ... Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related ...

McKinstry

Project Engineer II - Electrical

Seattle, WA · On-site +1

$36.26 - $56.83/hr

The Opportunity with McKinstry We're looking for an experienced Electrical Project Engineer II to ... McKinstry Moves onsite gyms or reimbursement for remote workers See benefit plan documents for ...

Leidos

Lead EPC Substation Project Engineer

Seattle, WA · On-site +1

$112K - $142K/yr

... electrical transmission and distribution, substation and transmission line projects nationwide ... This role has remote working capabilities, but candidates should be located in the Pacific ...

Amteck, LLC

BIM Technician - Electrical

Woodinville, WA · On-site +1

... engineering teams through advanced 3D modeling and coordination. This role involves creating and ... This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ...

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Remote Electrical Engineer Nvidia information

See Bothell, WA salary details

$56.5K

$124.2K

$187.8K

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

As of Jul 14, 2026, the average yearly pay for remote electrical engineer nvidia in Bothell, WA is $124,187.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,800.00 and $147,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote Electrical Engineers at Nvidia, and how can they be effectively addressed?

Remote Electrical Engineers at Nvidia often encounter challenges such as maintaining clear communication with cross-functional teams, staying aligned with hardware development timelines, and accessing specialized lab equipment. To address these, Nvidia provides robust collaboration tools, schedules regular virtual team meetings, and may offer remote access to lab resources or coordinate periodic on-site visits. Proactive communication and strong organizational skills are key to thriving in this remote environment, ensuring projects stay on track and technical issues are resolved efficiently.

What does a Remote Electrical Engineer at Nvidia do?

A Remote Electrical Engineer at Nvidia is responsible for designing, developing, and testing electrical components and systems used in Nvidia's products, such as GPUs, data center hardware, and AI platforms. Working remotely, they collaborate with cross-functional teams to optimize circuit designs, ensure product reliability, and solve complex engineering challenges. These engineers also use simulation tools, review schematics, and contribute to the full product development lifecycle, all while communicating effectively with colleagues across different locations.

What is the difference between Remote Electrical Engineer Nvidia vs Remote Electronics Engineer Nvidia?

AspectRemote Electrical Engineer NvidiaRemote Electronics Engineer Nvidia
Required CredentialsBachelor's in Electrical Engineering, relevant certificationsBachelor's in Electronics Engineering, similar certifications
Work EnvironmentDesign, testing, and development of electrical systemsDesign and testing of electronic components and circuits
Employer & Industry UsageUsed in hardware development, system integrationUsed in circuit design, embedded systems
Common Search & ComparisonOften compared for electrical hardware rolesOften compared for electronic circuit roles

Remote Electrical Engineer Nvidia and Remote Electronics Engineer Nvidia share overlapping skills and work environments, but focus on different aspects of hardware development. Electrical engineers typically work on power systems and larger hardware, while electronics engineers focus on circuit design and embedded systems. Both roles are vital in Nvidia's hardware innovation and are often searched together by professionals in hardware development.

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

To thrive as a Remote Electrical Engineer at Nvidia, you need a strong background in electrical engineering principles, circuit design, and experience with hardware development, typically supported by a relevant engineering degree. Proficiency with CAD tools (such as Altium Designer or Cadence), simulation software, and familiarity with industry standards is usually required, along with certifications like Professional Engineer (PE) being advantageous. Excellent problem-solving, self-motivation, and effective virtual communication are crucial soft skills for collaborating with distributed teams and managing complex projects remotely. These competencies ensure high-quality, innovative hardware solutions and seamless teamwork in Nvidia’s fast-paced, technology-driven environment.
What are popular job titles related to Remote Electrical Engineer Nvidia jobs in Bothell, WA? For Remote Electrical Engineer Nvidia jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Remote Electrical Engineer Nvidia jobs in Bothell, WA look for? The top searched job categories for Remote Electrical Engineer Nvidia jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Remote Electrical Engineer Nvidia jobs? Cities near Bothell, WA with the most Remote Electrical Engineer Nvidia job openings:
Remote Electrical Engineer Nvidia jobs near you
Infographic showing various Remote Electrical Engineer Nvidia job openings in Bothell, WA as of July 2026, with employment types broken down into 86% Full Time, 12% Part Time, 1% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $124,187 per year, or $59.7 per hour.
Senior Systems Software Engineer, Kubernetes Scale - DGX Cloud

Senior Systems Software Engineer, Kubernetes Scale - DGX Cloud

Nvidia

Seattle, WA • Remote

$68.25 - $88.75/hr

Full-time

Re-posted 2 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

The DGX Cloud organization at NVIDIA brings together cutting-edge hardware and software innovation to deliver industry-leading accelerated computing for the world's most adventurous AI workloads. We're a team of innovative engineers dedicated to solving some of the world's biggest challenges, constantly driving advancements, and impacting millions of lives worldwide!

We are looking for an outstanding Senior Systems Software Engineer with deep experience in distributed systems, open-source technologies such as Kubernetes and containers, and a strong background in systems performance and scalability. The ideal candidate brings broad, end-to-end experience across the stack - from GPU operator and device plugins to distributed inference serving and cloud platforms - along with the technical depth to investigate and address exciting, real-world problems at scale. In this pivotal role, you will take on the challenge of scaling AI infrastructure while optimizing total cost of ownership, driving down cost per token to unlock the next generation of AI innovation and AI factories!

What you'll be doing:

  • Drive end-to-end performance and scale characterization for the NVIDIA DGX Cloud software stack, from Kubernetes control and data planes through NVIDIA components such as GPU Operator, Network Operator, DCGM, NIM, and distributed inference serving, following issues from orchestration down to the metal.

  • Collaborate with AI researchers, developers and customers to develop innovative, automated tests that simulate real user workloads using custom-built and leading open-source tools and frameworks.

  • Deep dive into performance and scale issues in complex distributed systems, including interactions between Kubernetes and the NVIDIA software stack, to identify and resolve root causes.

  • Design and develop monitoring, reporting and analysis tools for performance and scale testing across software, GPU and CPU resources.

  • Triage, debug and root cause issues related to operating Kubernetes clusters at ultra-large scale, ensuring reliability and efficiency.

  • Build and maintain a high-velocity framework that enables continuous, always-on performance and scale testing via a modern CI/CD pipeline.

  • Document research, methodologies and results clearly and concisely, and present findings at internal and external venues, including community conferences such as KubeCon and GTC.

  • Engage efficiently with upstream communities - including Kubernetes, CNCF and NVIDIA open-source projects - to validate performance and scalability of AI workloads early and help shape design and development decisions.

What we need to see:

  • 8+ years of experience Computer Architecture, Networking, Storage systems, Accelerators and Bachelors/Masters in Engineering (preferably, Electrical Engineering, Computer Engineering, or Computer Science) or equivalent experience

  • Expertise in Kubernetes and familiarity with related CNCF projects

  • Background in working with large scale parallel and distributed accelerator-based systems

  • Expertise optimizing performance and AI workloads on large scale systems

  • Experience with performance modeling and benchmarking at scale

  • Proficiency in Golang/Python

  • Background with the NVIDIA software ecosystem in both training and inference domains

  • Expertise with at least one of public CSP infrastructure (GCP, AWS, Azure, OCI for example)

Ways to stand out from the crowd:

  • Strong operational experience with any one of the Kubernetes distributions

  • Prior experience scaling Kubernetes clusters to ultra-large node and object counts

  • Demonstrated history of working in the open-source community

  • Excellent communication and interpersonal abilities

  • PhD in relevant areas

#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 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 June 28, 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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