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Mlops Engineer Salary Jobs in Bothell, WA (NOW HIRING)

Nvidia

Senior MLOps Engineer - DSX Enablement

Seattle, WA · On-site

$130K - $178K/yr

NVIDIA is seeking a Senior MLOps Engineer to join our DSX Enablement team, collaborating closely ... NVIDIA offers competitive salaries and a generous benefits package. It is recognized as one of the ...

Nvidia

NCX Senior Engineer

Seattle, WA · On-site

$118K - $163K/yr

Deep familiarity with MLOps and cloudnative practices: containerization, CI/CD pipelines ... NVIDIA offers competitive salaries and a generous benefits package. It is recognized as one of the ...

Nametag

Senior Software Engineer, Reliability

Seattle, WA · Remote

$120K - $190K/yr

Evolve our MLOps infrastructure so models can be trained, evaluated, and deployed safely and ... Compensation The base salary range for this full-time position is $120,000 to $190,000, plus equity ...

Albert Invent

Software Engineer, ML Platform

Seattle, WA · On-site

$140 - $215/hr

This role spans a range of problems and skillsets, ranging from MLOps of cutting-edge GPU clusters ... Compensation We offer a competitive compensation and benefits package, including base salary, bonus ...

SpaceX

Software Engineer (Platform Team)

Redmond, WA · On-site

$145K - $175K/yr

Familiarity with MLOps, model onboarding, compute orchestration, and infrastructure for large-scale ... Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for ...

SpaceX

Software Engineer (Platform Team)

Redmond, WA · On-site

$145K - $175K/yr

Familiarity with MLOps, model onboarding, compute orchestration, and infrastructure for large-scale ... Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for ...

SpaceX

Software Engineer (Platform Team)

Redmond, WA · On-site

$145K - $175K/yr

Familiarity with MLOps, model onboarding, compute orchestration, and infrastructure for large-scale ... Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for ...

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All JobsMlops Engineer Salary JobsMlops Engineer Salary Jobs in Bothell, WA

Mlops Engineer Salary information

See Bothell, WA salary details

$42.5K

$129.5K

$214.1K

How much do mlops engineer salary jobs pay per year?

As of Aug 24, 2026, the average yearly pay for mlops engineer salary in Bothell, WA is $129,523.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,800.00 and $169,400.00 per year, depending on experience, location, and employer.

What is the difference between Mlops Engineer Salary vs Data Scientist Salary?

AspectMlops Engineer SalaryData Scientist Salary
Average Annual Salary$110,000 - $150,000$95,000 - $135,000
Required SkillsMachine Learning, DevOps, Cloud ComputingStatistics, Programming, Data Analysis
Work EnvironmentTech companies, AI startups, cloud providersResearch institutions, tech firms, finance
CertificationsCloud certifications, ML certificationsData Science certifications, Python/R skills

Generally, Mlops Engineers tend to have higher salaries due to their specialized skills in deploying and maintaining machine learning models in production environments. Data Scientists focus more on data analysis and model development. Both roles are in high demand, but Mlops Engineers often command a premium because of their expertise in operationalizing AI solutions.

Are MLOps engineers in demand?

MLOps engineers are in high demand due to the increasing adoption of machine learning and AI across industries. They are needed to develop, deploy, and maintain scalable ML systems, often requiring skills in cloud platforms, automation, and tools like Docker and Kubernetes. The role offers strong job growth prospects and competitive salaries.

What is MLOps engineer salary?

The salary of an MLOps engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and automation tools can earn higher compensation. Salaries may also include benefits such as bonuses and stock options.

What job categories do people searching Mlops Engineer Salary jobs in Bothell, WA look for?

The top searched job categories for Mlops Engineer Salary jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Mlops Engineer Salary jobs?

Cities near Bothell, WA with the most Mlops Engineer Salary job openings:

Mlops Engineer Salary jobs near you
Infographic showing various Mlops Engineer Salary job openings in Bothell, WA as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $129,523 per year, or $62.3 per hour.

Senior MLOps Engineer - DSX Enablement

Nvidia

Seattle, WA • On-site

$130K - $178K/yr

Full-time

Posted 4 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 246 rated software companies

Job description

NVIDIA is seeking a Senior MLOps Engineer to join our DSX Enablement team, collaborating closely with strategic customers to implement and enhance groundbreaking AI workloads. We partner with the world's most innovative AI companies and open-source communities to address their most challenging technical problems.

What you will be doing:

In this role, you will develop innovative solutions that advance AI infrastructure capabilities, advise infrastructure experts on the demands of ML workloads, help practitioners diagnose and solve full-stack AI and ML system problems, and work on a team with direct responsibility for the success of internal and external customers' AI and ML initiatives, including LLM performance evaluation and supporting new hardware in open-source frameworks. You will:

  • Build and deploy custom AI solutions on NeoCloud platforms and NVIDIA Cloud Partners (NCPs), including distributed training, inference optimization, and MLOps pipelines,

  • Act as a primary technical contact for internal and external customers and partners, guiding joint engagements, ensuring the success of initiatives on DGX Cloud, and solving complex problems in production,

  • Work closely with the teams building the infrastructure software and accelerated frameworks that support today's most compelling AI applications,

  • Profile and tune large-scale training and inference workloads on NCP platforms, leading efforts to reduce latency, cost, and operational risk, and

  • Develop open-source tools and reference architectures to make it easier to build and manage machine learning and AI workloads, pipelines, and systems at scale.

What we need to see:

  • BS, MS, or Ph.D. in Computer Science, Computer/Electrical Engineering, or a related technical field, or equivalent experience.

  • 8+ years of experience in technical roles such as data science, data engineering, or ML engineering, ideally targeting largescale production systems.

  • Demonstrated AI/ML experience across multiple phases of the machine learning lifecycle, from exploratory analysis to production systems.

  • Facility with systems topics including Linux, batch schedulers, Kubernetes, distributed filesystems, and advanced networking at datacenter scale.

  • Solid scripting and programming skills in languages like bash and Python and solid systems programming skills in a language like C++, Go, or Rust.

  • Experience using machine learning or deep learning frameworks for training and inference.

  • Excellent communication and technical presentation skills, with the ability to clearly articulate architectures, tradeoffs, and recommendations to both engineering and leadership audiences.

  • A clear record of engineering discipline and execution on interesting projects, whether you're working alone or collaborating on a team.

Ways to stand out from the crowd:

  • Experience contributing to and working in open-source communities.

  • Experience with the NVIDIA ecosystem, including DGX systems, CUDA, NeMo, RAPIDS, Triton, NIM, and NVIDIA networking technologies such as InfiniBand, NVLink, and RoCE.

  • Experience and familiarity building machine learning systems in a security-critical environment and distributed training and inference frameworks.

  • Familiarity with MLOps practices in a cloudnative context: containerization, CI/CD pipelines, workflow automation, observability stacks, and GitOps workflows.

  • Direct experience drawing on deep systems knowledge to diagnose and fix performance or correctness problems that span multiple layers of the application stack, like hardware, networking, accelerator, hypervisor or OS, compilers or runtimes, application code, and libraries.

NVIDIA offers competitive salaries and a generous benefits package. It is recognized as one of the technology world's most desirable employers. We have some of the most innovative and dedicated people working here. Due to rapid growth, our outstanding teams are expanding quickly. Join us to make a lasting impact on the world!

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 August 24, 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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