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Senior AI Training Infrastructure Engineer

designworkstalentBellevueEngineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Senior
Posted
3 Oct 2026
Status
Open · checked 8d ago

About this role

This position suits engineers who enjoy building highly scalable systems and working at the intersection of AI research, infrastructure engineering, and distributed computing. The Senior AI Training Infrastructure Engineer role is based in downtown Bellevue, Washington, on a hybrid schedule, and involves building distributed systems that power large-scale artificial intelligence model training.

Role Overview

This is a foundational engineering role focused on building the infrastructure layer behind large-scale artificial intelligence training workloads. The position operates within a well-funded, rapidly growing artificial intelligence infrastructure company backed by significant long-term investment. The organization combines startup speed with the stability of an established parent organization, operating out of downtown Bellevue, Washington, on a hybrid schedule requiring approximately three days per week in the office.

Key Responsibilities

Build and scale distributed training infrastructure supporting large artificial intelligence models across large graphical processing unit clusters.
Design and improve systems that increase training reliability, efficiency, and resource utilization.
Develop solutions for fault tolerance, checkpointing, recovery, and large-scale training operations.
Integrate artificial intelligence models into production training pipelines in partnership with platform, orchestration, and performance engineering teams.
Diagnose and resolve issues impacting training throughput, stability, reliability, and cost efficiency.
Build tools and automation that improve the developer experience for artificial intelligence researchers and engineers.
Establish best practices for training infrastructure, operational processes, and platform reliability.
Contribute to the evolution of the artificial intelligence infrastructure platform as an early member of the engineering team.

Requirements

Hands-on experience building and operating distributed training systems or large-scale machine learning infrastructure.
Experience supporting large artificial intelligence models, foundation models, post-training workflows, or similar machine learning systems.
Strong understanding of the reliability, scalability, and efficiency challenges associated with multi-node graphical processing unit training.
Experience integrating training systems with production machine learning pipelines.
Strong programming skills and experience working with complex distributed systems.
Ability to independently own technically challenging projects in a fast-moving engineering environment.
Comfortable operating with high ownership and limited process overhead.
United States work authorization.

Nice to Have

Experience with distributed training frameworks such as PyTorch Distributed, DeepSpeed, Megatron-LM, or Ray.
Experience with supervised fine-tuning, reinforcement learning from human feedback, or other post-training workflows.
Background operating artificial intelligence training infrastructure at scale within a hyperscaler, artificial intelligence research organization, cloud provider, or graphical processing unit cloud environment.
Experience optimizing graphical processing unit utilization, training performance, or distributed system reliability.
Familiarity with Kubernetes, containerized workloads, and large-scale infrastructure platforms.

Skills and Tools

PyTorch Distributed
DeepSpeed
Megatron-LM
Ray
Kubernetes
Distributed Systems
Graphical Processing Unit Clusters

Salary and Benefits

Competitive base pay for the Bellevue market, with certain roles eligible for merit increases, annual bonuses, and long-term incentives based on individual performance.
Medical, dental, and vision insurance for United States-based employees.
A 401(k) plan with a company match.
Paid holidays per calendar year.

About the Company

The company is a well-funded, rapidly growing artificial intelligence infrastructure firm developing a next-generation cloud platform to support the full lifecycle of artificial intelligence. Backed by significant long-term investment, the enterprise brings together startup innovation and the resources of an established parent organization through lean, highly collaborative, and artificial intelligence-native engineering teams.

How to Apply

Interested candidates should apply on the official company careers page.

Skills and tech stack

PyTorch DistributedDeepSpeedMegatron-LMRayKubernetesPyTorchReinforcement LearningMachine LearningFine-tuningDistributed Systems

Questions candidates ask

Where is the job located?

The role is a hybrid position based in downtown Bellevue, Washington, requiring approximately three days per week in the office.

Is visa sponsorship available?

No, visa sponsorship is not currently available, and United States work authorization is required.

What is the work schedule?

The position is a full-time hybrid role requiring about three days per week in the downtown Bellevue office.

What benefits are included?

United States-based employees receive medical, dental, and vision insurance, a 401(k) plan with company match, and paid holidays per calendar year.

Are candidates outside of Bellevue considered?

Candidates elsewhere in the United States who are open to relocation are encouraged to apply.

Ready to apply?

The application is on the official designworkstalent careers page.

Apply on company site