1

Manager Supercomputer Jobs in Seattle, WA (NOW HIRING)

Software Development Manager , EC2 Nitro

Seattle, WA · On-site

$140K - $185K/yr

You'll build and manage a team focused on establishing EC2 as the definitive source for ML ... Working with us means having the opportunity to influence the future of supercomputing in the cloud ...

Senior Software Dev Engineer, EC2 Nitro

Seattle, WA · On-site

$139K - $183K/yr

Join the EC2 Nitro Machine Learning Systems team to revolutionize supercomputing in the cloud. We ... management, build processes, testing, and operations experience - Bachelor's degree in computer ...

... management infrastructure and the inference and training platforms that power all of Microsoft's AI ... AI supercomputers. Microsoft's mission is to empower every person and every organization on the ...

... centers, supercomputers, and desktop computers. We design and manufacture solutions used by the ... Lead review and negotiation of customer contracts and manage inputs from stakeholders to drive ...

Manager, Key Accounts ABOUT COOLIT SYSTEMS INC. Founded in Calgary, Alberta in 2001, CoolIT Systems ... centers, supercomputers, and desktop computers. We design and manufacture solutions used by the ...

... of EC2 Supercomputers, optimized for high-performance training and inference workloads. We are ... Experience with Linux package management, version control systems, automated build processes, and ...

Software Development Manager , EC2 Nitro

Seattle, WA · On-site

$140K - $185K/yr

You'll build and manage a team focused on establishing EC2 as the definitive source for ML ... Working with us means having the opportunity to influence the future of supercomputing in the cloud ...

next page

Showing results 1-20

Manager Supercomputer information

What is the difference between Manager Supercomputer vs Supercomputing Systems Engineer?

AspectManager SupercomputerSupercomputing Systems Engineer
Required CredentialsBachelor's or master's in computer science, engineering, or related field; management experienceBachelor's or master's in computer science, computer engineering, or related field; technical certifications
Work EnvironmentOversees supercomputing facilities, manages teams, strategic planningDesigns, develops, and maintains supercomputing systems, works hands-on with hardware/software
Employer & Industry UsageResearch labs, government agencies, large tech companiesResearch institutions, high-performance computing centers, tech firms

The Manager Supercomputer primarily oversees supercomputing operations and manages teams, focusing on strategic and administrative tasks. In contrast, the Supercomputing Systems Engineer is more technically involved, designing and maintaining supercomputing systems. Both roles require strong technical backgrounds, but their responsibilities differ in scope and focus.

What are popular job titles related to Manager Supercomputer jobs in Seattle, WA? For Manager Supercomputer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Manager Supercomputer jobs in Seattle, WA look for? The top searched job categories for Manager Supercomputer jobs in Seattle, WA are:
Infographic showing various Manager Supercomputer job openings in Seattle, WA as of June 2026, with employment types broken down into 3% As Needed, 85% Part Time, 3% Temporary, 8% Contract, and 1% Nights. Highlights an 96% Physical, 3% Hybrid, and 1% Remote job distribution.

Member of Technical Staff - Compute Infrastructure

xAI

Seattle, WA

$180K - $440K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 6 days ago


Job description

ABOUT xAI

xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

ABOUT THE ROLE:

We are building one of the world's largest AI supercomputers from the ground up. As part of the Compute Infrastructure team, you will own both the raw GPU supercomputer and the platform layer that runs on top of it. You will work across the full stack — from low-level GPU kernel optimizations and Linux kernel internals to massive-scale orchestration and virtualization — to make training and inference at xAI as fast, reliable, and scalable as possible.

This is a broad, high-impact role that combines hardcore supercompute and compute infrastructure work. Your contributions will directly accelerate Grok's training speed and overall AI progress.

RESPONSIBILITIES:

  • Design, build, and optimize massive GPU clusters for extreme-scale training and inference workloads
  • Develop and tune low-level CUDA kernels (GeMM, Attention, etc.), using CUTLASS, Tensor Cores, and Nsight for maximum performance
  • Work on Linux kernel internals, scheduling, memory management, and resource isolation at cluster scale
  • Build custom container orchestration, virtualization layers (KVM, Firecracker, etc.), and distributed systems that go beyond standard Kubernetes
  • Profile, debug, and eliminate bottlenecks across GPU memory hierarchy, networking fabric, filesystems, and multi-GPU operations
  • Create and maintain infrastructure-as-code, automation, and tools that keep the entire supercomputer reliable and efficient
  • Collaborate closely with AI research teams to deliver production-grade performance and scalability
PREFERRED SKILLS AND EXPERIENCE:
  • Deep low-level systems programming (C/C++ or Rust)
  • Experience building and operating high performance exabyte scale storage systems
  • Strong experience with large-scale GPU clusters or distributed compute infrastructure at production scale
  • Hands-on work with GPU kernel optimization (CUTLASS, custom kernels, Nsight profiling)
  • Experience with Linux kernel internals, scheduling, virtualization, or large-scale orchestration
  • Track record of building or running high-performance infrastructure for AI workloads (training or inference platforms)
  • Ability to reason from first principles and optimize for both memory-bound and compute-bound scenarios
COMPENSATION AND BENEFITS:

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.