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Remote Distributed Systems Engineer Jobs in Seattle, WA

TEEMA

Software Architect

Everett, WA · Remote

$180K - $190K/yr

Staff Software Engineer - Distributed Systems & Cloud (Remote) A fast-growing healthcare technology company focused on advancing remote cardiac care is seeking an experienced Staff Software Engineer ...

DocuSign

Software Engineer

Seattle, WA · On-site +1

$146K - $235K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Experience with data structures, algorithms, operating systems, and distributed systems ...

DocuSign

Machine Learning Engineer

Seattle, WA · On-site +1

$164K - $266K/yr

Build and maintain high-performance distributed systems to support large-scale model inference and ... Employee divides their time between in-office and remote work. Access to an office location is ...

DocuSign

Senior Software Engineer

Seattle, WA · On-site +1

$158K - $232K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Hands-on experience with system architecture, API design, and distributed systems * Experience ...

DocuSign

Software Engineer

Seattle, WA · On-site +1

$146K - $235K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Experience with data structures, algorithms, operating systems, and distributed systems ...

System One

System Design Engineer

Bellevue, WA · Remote

$102K - $140K/yr

Remote Schedule: 40 hours/week System One is seeking an experienced System Design Engineer to support the development of advanced nuclear energy systems. This role is responsible for the design and ...

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All JobsDistributed Systems Engineer JobsRemote Distributed Systems Engineer JobsRemote Distributed Systems Engineer Jobs in Seattle, WA

Remote Distributed Systems Engineer information

See Seattle, WA salary details

$60.9K

$144.8K

$190.1K

How much do remote distributed systems engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for remote distributed systems engineer in Seattle, WA is $144,774.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $178,700.00 per year, depending on experience, location, and employer.

How much do distributed systems engineers make?

Distributed systems engineers typically earn between $100,000 and $160,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and large-scale architecture can command higher salaries, especially in competitive tech markets.

What engineer makes $500,000 a year?

A remote distributed systems engineer can earn $500,000 annually, especially with extensive experience, specialized skills in cloud infrastructure, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing in large tech companies or startups.

What engineers make $200,000 a year?

Senior engineers in fields such as software engineering, especially those specializing in distributed systems, cloud infrastructure, or machine learning, can earn $200,000 or more annually. Achieving this level typically requires extensive experience, advanced skills in programming, system design, and often relevant certifications or advanced degrees. Compensation varies based on industry, location, and company size, with roles in tech giants and specialized firms more likely to reach this salary level.

What engineers make $300,000 a year?

Senior distributed systems engineers, especially those with expertise in cloud infrastructure, large-scale system design, and advanced programming skills, can earn $300,000 or more annually. High compensation often requires extensive experience, specialized knowledge, and sometimes leadership roles or working in high-demand industries like technology or finance.
What are the most commonly searched types of Distributed Systems Engineer jobs in Seattle, WA? The most popular types of Distributed Systems Engineer jobs in Seattle, WA are:
What are popular job titles related to Remote Distributed Systems Engineer jobs in Seattle, WA? For Remote Distributed Systems Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Remote Distributed Systems Engineer jobs in Seattle, WA look for? The top searched job categories for Remote Distributed Systems Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Remote Distributed Systems Engineer jobs? Cities near Seattle, WA with the most Remote Distributed Systems Engineer job openings:
Remote Distributed Systems Engineer jobs near you
Infographic showing various Remote Distributed Systems Engineer job openings in Seattle, WA as of July 2026, with employment types broken down into 89% Full Time, 7% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $144,774 per year, or $69.6 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

Posted 29 days ago

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.
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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