Top 9 Hpc functional developer Jobs in Seattle, Wa

Infrastructure Engineer (GPU & Compute)
Lightning AI —Seattle, WA
- $180,000 - $200,000 a year
- 5 years
- Senior level
- Paid parental leave
- Paid holidays
Quick Apply
Infrastructure Engineer (Storage)
Lightning AI —Seattle, WA
- $180,000 - $200,000 a year
- 5 years
- System design
- Senior level
- Paid parental leave
- Paid holidays
Quick Apply
Software Development Manager
Oracle —Seattle, WA
- Full-time
- Azure
- Computer Science
- 5 years
AI System Research and Development Engineer - Optimization
Snowflake —Bellevue, WA
- $200,000 - $265,000 a year
- Computer Science
- 5 years
- Master's degree
- Health savings account
- Paid holidays
13d
Full Stack Engineer Manager
Accenture —Seattle, WA
- $87,400 - $293,800 a year
- Full-time
- Hybrid work
- Writing skills
- Analysis skills
- Mentoring
- Paid holidays
- Disability insurance
10d
Sr. Technical Program Manager – Server Hardware Engineering, Mainstream Compute and Accelerators
Amazon Data Services, Inc. —Seattle, WA
- $148,700 - $201,200 a year
- Full-time
- Computer science
- 7 years
- Computer Science
- AD&D insurance
- Health insurance
Senior Solutions Architect, NVIDIA Cloud Partners - Telco
NVIDIA —Seattle, WA
- $152,000 - $287,500 a year
- Full-time
- Computer science
- Azure
- 6 years
2d

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Infrastructure Engineer (GPU & Compute)

Lightning AI
Seattle, WA

Quick Apply

Job Details

$180,000 - $200,000 a year

Benefits

Paid parental leave
Paid holidays
Health insurance
Dental insurance
Paid time off
Parental leave
Vision insurance

Qualifications

Linux support
Programming languages
Computer hardware
Hardware support
Hardware diagnostics
Automation tools
Linux administration

Full Job Description

Who We Are

Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.

Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.

We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.

What We're Looking For

Lightning AI is seeking a GPU & Compute Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will own image management, system diagnostics, and validation across large-scale bare-metal compute infrastructure, with a particular focus on GPU-enabled systems. You will work at the intersection of hardware, systems, and software—developing automation, improving reliability, and enabling efficient cluster bring-up for AI/ML and HPC workloads.

You will play a key role in owning and evolving our image pipeline, running validation environments and test clusters, and supporting both system-level and GPU hardware qualification. This role is critical to ensuring that our infrastructure is consistent, performant, and ready to support demanding AI workloads from day one.

We're flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You'll Do

Systems, Image & Validation Infrastructure

Own and evolve systems for image management, deployment, and validation across bare-metal infrastructure
Run and maintain test clusters used for system validation, diagnostics, and bring-up
Validate firmware, drivers, and OS images across compute and GPU-enabled systems
Support hardware qualification efforts for next-generation platforms

GPU Diagnostics & Performance

Own GPU diagnostics and validation workflows across large-scale infrastructure
Diagnose and resolve complex issues across GPUs, drivers, OS, and hardware layers
Analyze system and GPU performance using tools such as NVIDIA DCGM
Identify failure patterns and drive improvements in system stability and validation coverage

Automation & Tooling

Build and maintain automation for provisioning, validation, and system bring-up
Develop Python-based tools and workflows to improve efficiency and reduce manual operational overhead
Improve the reliability, repeatability, and scalability of image pipelines and validation systems

Systems & Operations

Manage and operate Linux-based systems in production and validation environments
Manage virtualization technology
Support bare-metal provisioning workflows, including PXE and image-based systems
Interface with hardware management systems (e.g., IPMI, Redfish) for monitoring and debugging

Cross-Functional Collaboration

Partner with Infrastructure, Hardware, and Data Center teams on system bring-up and validation
Collaborate with platform and ML teams to ensure systems meet workload requirements
Contribute to best practices for provisioning, diagnostics, and lifecycle management of infrastructure

What You'll Need

Required Qualifications

5+ years of experience in infrastructure engineering, systems engineering, or related roles
Strong Linux systems experience in production environments
Hands-on experience with GPU-enabled systems and tools such as NVIDIA DCGM
Familiarity with bare-metal provisioning and system bring-up workflows
Proficiency in Python or similar scripting/programming languages for automation
Ability to debug complex issues across hardware, OS, GPUs, and system software

Ideal Experience

Experience with high-performance interconnects (e.g., InfiniBand, NVLink)
Experience with PXE boot environments, LiveCD systems, or image-based provisioning workflows
Experience with hardware management interfaces such as iDRAC, IPMI, or Redfish
Data center operations experience, including working with physical hardware
Experience supporting AI/ML or HPC workloads at scale
Experience with GPU validation frameworks or large-scale hardware qualification processes

Compensation

Benefits and Perks

We offer a comprehensive and competitive benefits package designed to support our employees' health, well-being, and long-term success. Benefits may vary by location, team, and role.

Benefits include:

Comprehensive medical, dental and vision coverage (U.S.); Private medical and dental insurance (U.K.)
Retirement and financial wellness support (U.S.); Pension contribution (U.K.)
Generous paid time off, plus holidays
Paid parental leave
Professional development support
Wellness and work-from-home stipends
Flexible work environment

At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Quick Apply

Refine Your Search

hpc functional developer jobs in seattle, wa

Infrastructure Engineer (GPU & Compute)

Infrastructure Engineer (Storage)

Software Development Manager

AI System Research and Development Engineer - Optimization

Full Stack Engineer Manager

Sr. Technical Program Manager – Server Hardware Engineering, Mainstream Compute and Accelerators

Senior Solutions Architect, NVIDIA Cloud Partners - Telco