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Remote Ai Coding Jobs in Seattle, WA (NOW HIRING)

Senior Software Engineer, Insurance

Seattle, WA · On-site +1

$139K - $183K/yr

Use agentic AI coding tools as your primary development methodology for the platform build, not as ... Remote positions: Alaska, Delaware, Hawaii, Mississippi, Nebraska, Montana, New Hampshire, West ...

As the leader in AI code verification and governance, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and ...

As the leader in AI code verification and governance, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and ...

Offensive Security Engineer

Seattle, WA · Remote

$150K - $200K/yr

... with AI-driven proof of exploitability and automated, code-level remediation. * Supporting a ... Competitive base, meaningful equity, full benefits, and a remote-first culture.

The AI & Data Systems Engineer will be a key individual contributor on Ceribell's Data Architecture ... Write clean, well-documented code across whatever languages and frameworks the work requires; apply ...

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Remote Ai Coding information

See Seattle, WA salary details

$19

$24

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How much do remote ai coding jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for remote ai coding in Seattle, WA is $24.47, according to ZipRecruiter salary data. Most workers in this role earn between $20.53 and $26.01 per hour, depending on experience, location, and employer.

What is remote AI coding?

Remote AI coding refers to the practice of developing and deploying artificial intelligence models and applications from a remote location, rather than working onsite at a company’s office. Remote AI coders use programming languages like Python, machine learning frameworks, and cloud platforms to create solutions such as chatbots, recommendation systems, and data analysis tools. This role allows professionals to collaborate with teams and clients across the globe using online communication and version control tools. Remote AI coding offers flexibility, access to a wider range of job opportunities, and the ability to work from anywhere with a reliable internet connection.

What are the key skills and qualifications needed to thrive as a Remote AI Coding professional, and why are they important?

To thrive as a Remote AI Coding professional, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Git, and cloud platforms (e.g., AWS, Google Cloud) is typically required, along with certifications in AI or data science as a plus. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for collaborating remotely and managing independent tasks. These competencies enable efficient project delivery, innovation, and effective teamwork in a distributed work environment.

What is the difference between Remote Ai Coding vs Data Scientist?

AspectRemote Ai CodingData Scientist
Required CredentialsProgramming skills, AI/ML knowledge, sometimes certificationsStatistics, programming, often advanced degrees
Work EnvironmentRemote, tech companies, AI-focused teamsRemote or on-site, diverse industries
Industry UsageTech, AI startups, software firmsFinance, healthcare, tech, research
Common Search/ComparisonYesNo

Remote Ai Coding involves developing AI algorithms and models primarily through programming, often in a remote setting within tech-focused companies. Data Scientists analyze data to extract insights, requiring statistical expertise and often working across various industries. While both roles may work remotely, Remote Ai Coding is more specialized in AI development, whereas Data Scientists focus on data analysis and interpretation.

What are some common challenges faced by remote AI coding professionals, and how can they be overcome?

Remote AI coding professionals often encounter challenges such as collaborating across time zones, maintaining clear communication with team members, and managing complex projects without in-person oversight. To overcome these, it's important to establish regular check-ins using collaboration tools like Slack or Zoom, document code and project updates thoroughly, and leverage version control systems such as Git. Proactively communicating progress and blockers helps ensure alignment and smooth teamwork, even when working remotely.
What are the most commonly searched types of Ai Coding jobs in Seattle, WA? The most popular types of Ai Coding jobs in Seattle, WA are:
What are popular job titles related to Remote Ai Coding jobs in Seattle, WA? For Remote Ai Coding jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Remote Ai Coding jobs in Seattle, WA look for? The top searched job categories for Remote Ai Coding jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Remote Ai Coding jobs? Cities near Seattle, WA with the most Remote Ai Coding job openings:
Senior Software Engineer, AI Speed Infrastructure

Senior Software Engineer, AI Speed Infrastructure

Nvidia

Redmond, WA • On-site, Remote

$137K - $180K/yr

Full-time

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

With the latest advances in AI, verification and feedback loops are becoming the clock speed of software development. We are looking for someone who wants to build AI speed infrastructure for Tegra: a ridiculously fast build, test, and validation system for the future, aimed at supporting developers and swarms of agents where turn times will be measured in seconds. We are looking for someone passionate about building the build, test, and validation platform for our Tegra driver developers: someone who can design workflows, build the CI control plane, and dramatically improve development speed and signal quality across large, safety-critical C/C++ codebases. The right person will treat build graphs, test selection, cacheability, hermeticity, hardware scheduling, policy, and developer experience as first-class product surfaces, turning them into workflows teams actually want to use and integrating AI agents into the control plane to enable self-healing and further optimizations.

This is fundamentally a performance engineering role. You will be ruthlessly optimizing every step of the pipeline-rebuilding infrastructure from the ground up wherever needed-to define how code moves from a developer's (or agent's) change to a trusted, merged signal. We want someone who can design fully automated, multi-tiered testing pipelines where code is seamlessly validated across local, remote, and scarce device-lab resources. You will architect how risk-based gating operates at agent-speed, how failures are autonomously diagnosed and remediated, how infrastructure self-heals, and how we scale these next-generation workflows across massive engineering teams.

What you'll be doing:

  • Build AI-native, self-healing CI workflows for large Tegra C/C++ codebases

  • Design fast build, test, and validation paths that keep developers and agents in tight loops

  • Integrate reasoning agents that can triage failures, recommend fixes, and safely automate routine recovery

  • Improve incremental builds, caching, remote execution, and test selection

  • Integrate simulation, emulation, and device-backed testing into trustworthy CI

  • Build machine-readable outputs, policies, and recovery paths that agents can safely use at scale

  • Package workflows and platform capabilities so other teams can reuse them

  • Drive adoption with metrics, docs, and hands-on enablement

What we need to see:

  • BS/MS in Electrical or Computer Engineering, or equivalent experience

  • 8+ years of relevant industry experience

  • Strong systems / build architecture for C/C++ codebases

  • Real daily use of AI coding tools and agent workflows

  • Deep experience with build systems, CI orchestration, and test strategy

  • Python / scripting for workflow automation, tooling, and agents

  • Ability to reason about safety-critical or high-assurance validation flows

Ways to stand out from the crowd:

  • Built or scaled CI/build systems for large mono-repos or embedded platforms

  • Improved feedback loops with measurable gains in build/test latency or signal quality

  • Built speed infrastructure for AI coding agents, autonomous validation, or high-throughput CI users

  • Worked on hardware/device-lab testing, remote execution, or change-based test selection

  • Shipped internal AI-assisted developer workflows used by other engineers

With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate about developing cloud services 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 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 15, 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


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