Senior AI Software Engineer Jobs in Seattle, WA
Senior AI Software Engineer jobs in Seattle concentrate in South Lake Union, the Eastside corridor including Bellevue and Redmond, and Capitol Hill, with strong demand from cloud computing, enterprise software, and healthtech sectors. Employers hiring right now include Apple, TikTok USDS JV, and TikTok. Find a role that fits below and apply directly.
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OCI (Oracle Cloud Infrastructure) AI Infrastructure is at the forefront of building a cutting-edge, ultra-high-performance GPU platforms designed to support AI/ML/HPC workloads. This is your chance to be part of the AI revolution, creating systems that allow customers to scale from tens to thousands of GPUs without compromising performance.
Our team is responsible for designing and developing fundamental architectural changes for GPU delivery, health monitoring, testing, triage automation, and diagnostic services. These are essential for running distributed AI/ML/HPC workloads across thousands of GPUs, leveraging technologies like RoCE and Infiniband.
As a Consulting Member of Technical Staff, you will own the software design and development for major components of Oracle's Cloud Infrastructure. You should be both a rock-solid lead developer, curious problem solver, a distributed systems generalist and/or skilled Linux engineer with Systems triage experience able to dive deep into any part of the stack and low-level systems to design broad distributed system interactions. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn.
This role resides within the Compute AI Infrastructure In-Band Engineering team, which owns the critical infrastructure responsible for automated testing of new platform shapes (AMD/Intel/Arm/Nvidia), hardware bring-up, configuration, benchmarking, and debugging. The services operate at the intersection of bare metal hardware and full-stack orchestration frameworks, a unique combination where both distributed systems engineers and engineers with background in Linux and firmware are highly valued. The team interfaces directly with multiple components like OCI APIs and services, NICs, SmartNICs, ILOMs, and GPUs. The team builds high performance, scalable services and tooling that launch, configure, test, and validate server platforms across OCI’s massive fleet of Compute and GPU Infrastructure. You will partner closely across other teams in Compute, Networking, Security, Data Center Engineering, and Hardware Development to ensure OCI can launch, scale, and maintain new server platforms with minimal operational overhead and high reliability. You will work directly with cutting edge GPU hardware and see the direct impact of your work on the business.
We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future. You are the builder here. You will be part of a team of really smart, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you’ll belong and be encouraged. If you are interested in building large-scale distributed infrastructure for the cloud, want to work on cutting edge GPU infrastructure and the latest Compute systems, have a knack for distributed systems and/or Linux development with Systems experience then this is your team! Oracle is aggressively investing in the Oracle Cloud to provide the broadest, most comprehensive cloud in the industry.
Minimum Qualifications
- BS or MS degree in Computer Science or relevant technical field involving coding or equivalent practical experience
- Deep understanding of operating systems, computer networks, and high-performance applications
- 6 plus years’ experience delivering and operating large-scale production systems (1000's server instances)
- Proficient in multiple programming languages (java/python/c/c++/goLang/shell scripting)
- Systematic problem-solving approach, strong communication skills, a sense of ownership, and drive
- Proven ability to deliver products and experience with the full software development lifecycle
Preferred Qualifications
- Strong background in Linux systems
- Familiarity with system-level architecture, data synchronization, fault tolerance, and state management
- General enterprise storage, networking, or computing experience
- Experience with Server/GPU hardware architecture and system management
- Experience with Infiniband or RoCE networking technologies
- Hands-on experience designing, developing, and operating public cloud service data planes
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Find JobsSenior AI Software Engineer Job Market in Seattle
Who's Hiring
- Apple29

- TikTok USDS JV21
- TikTok15

- GEICO9
- Amazon9

Top Industries Hiring
- Technology & Software73
- Electronics & Hardware24
- Retail14
- Banking & Financial Services11
- E-Commerce & Online Marketplaces11
Senior AI Software Engineer Jobs in Seattle: Frequently Asked Questions
How do I get a senior ai software engineer job in Seattle?
The strongest path into Seattle's market is through its dominant cloud and enterprise software sector, where large tech campuses in South Lake Union and the Eastside concentrate most senior roles. Candidates who combine applied machine learning experience with production engineering skills stand out locally. Networking through Seattle-area AI meetups and demonstrating work on large-scale distributed systems gives a clear edge over generic applicants.
Which companies hire senior ai software engineers in Seattle?
Employers hiring senior ai software engineers in Seattle right now include Apple, TikTok USDS JV, and TikTok, based on current listings on Migrate Mate as of June 2026. The Seattle area draws a broad mix of global tech giants with major campuses, fast-growing cloud infrastructure startups, and healthtech companies building AI into clinical and operational platforms.
Are there remote senior ai software engineer jobs in Seattle?
Yes, though many roles at this seniority level require at least some on-site presence for system design reviews and cross-team collaboration. About 24% of senior ai software engineer openings tied to Seattle are remote or hybrid as of June 2026, with fully remote positions most common in research-oriented and platform engineering tracks where deep-focus independent work drives the output.
How can I get a senior ai software engineer job in Seattle with little or no experience?
The most realistic entry path in Seattle is targeting mid-level machine learning engineer or AI platform engineer roles at growth-stage startups in South Lake Union or the broader Eastside, where smaller teams give earlier exposure to senior responsibilities. Contributing to open-source AI projects, building a portfolio of deployed models, and engaging with Seattle's active AI research community at the University of Washington all accelerate the path to senior-level consideration.
Which industries hire the most senior ai software engineers in Seattle?
Most senior ai software engineer openings in Seattle sit in Technology & Software, Electronics & Hardware, and Retail, per current listings on Migrate Mate as of June 2026. Seattle's concentration of cloud infrastructure providers, healthcare systems integrating AI into patient data pipelines, and autonomous systems companies makes it one of the most active markets in the country for this specialty.
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