Top 29 Devops / gpu stack build architect Jobs in California

DevOps / GPU Stack Build Architect
Advanced Micro Devices, Inc —San Jose, CA
- Hybrid work
- System design
- AWS
- Senior level
5d
DevOps Engineer
Stanford Health Care —Newark, CA
- $79.21 - $104.97 an hour
- Full-time
- Computer science
- Azure
- Computer Science
Principal HPC Architect
KLA —Milpitas, CA
- $162,700 - $284,700 a year
- Full-time
- Doctoral degree
- DevOps
- System design
- Employee stock purchase plan
- Paid holidays
Staff DevOps Engineer
Archer —San Jose, CA
- $190,000 - $237,000 a year
- Email
- Azure
- Computer Science
- 5 years
Quick Apply
DevOps Engineer
Menlo —San Francisco, CA
- Full-time
- Hybrid work
- Google Workspace
- Senior level
Quick Apply
Research Computing Cloud Engineer
Stanford University —Stanford, CA
- $150,289 - $171,674 a year
- Extended hours
- Hybrid work
- Computer science
- Azure
- Computer Science
Sr. Engineering Manager, MLOps
Quince —Palo Alto, CA
- $270,000 - $300,000 a year
- On call
- Background check
- Mentoring
- Recruiting
Lead VP of Technology - Sovereign AI Platform
Seven Boson Group —San Francisco, CA
- $180,000 - $200,000 a year
- Full-time
- Hybrid work
- Background check
- DevOps
- System design
- Health insurance
- Dental insurance
Quick Apply
Principal Engineer - Verification, CI/CD Infrastructure & Embedded Hardware (AISW) - Remote Possible
Qualcomm —San Francisco Bay Area, CA
- $221,600 - $332,400 a year
- Remote
- Computer science
- Computer Science
- Bachelor's degree
2d
Senior Cloud Infrastructure Engineer
Gatik AI —Santa Clara, CA
- $180,000 - $240,000 a year
- System design
- Office
- Senior level
Quick Apply
Staff Engineer, CI/CD & Cloud Infrastructure
Foresite Labs (Stealth Co) —San Diego, CA
- $175,000 - $185,000 a year
- Full-time
- Computer science
- 7 years
- Azure
Senior Software Engineer AI
BlackLine —Pleasanton, CA
- $145,000 - $182,000 a year
- Hybrid work
- Azure
- Data analysis skills
- System design
Sr. Platform Engineering
Archer —San Jose, CA
- $144,000 - $175,000 a year
- Email
- Azure
- 5 years
- Senior level
Quick Apply
Senior AI Engineer - SFL Scientific
Deloitte —Costa Mesa, CA
- $128,000 - $252,500 a year
- Full-time
- Computer science
- Azure
- Computer Science
Senior AI Infrastructure Engineer
Gatik AI —Mountain View, CA
- $180,000 - $240,000 a year
- System design
- Office
- Analysis skills
Quick Apply
Solutions Architect - AI Infrastructure
Prime Intellect —San Francisco, CA
- Full-time
- DevOps
- Senior level
- 2 years
Director, PEPI - Technology Services CTO Domain
Alvarez & Marsal —Los Angeles, CA
- $150,000 - $225,000 a year
- Full-time
- Product management
- Mentoring
- Senior level
- AD&D insurance
- 401(k)
Senior Manager, Customer Support
Crusoe —San Francisco, CA
- $205,000 - $250,000 a year
- Full-time
- Computer science
- 6 years
- Computer Science
- Commuter assistance
- Paid parental leave
Quick Apply
Director, PEPI - Technology Services CTO Domain
Alvarez and Marsal —San Francisco, CA
- $150,000 - $225,000 a year
- Full-time
- Bachelor's degree
- Product management
- Mentoring
- AD&D insurance
- 401(k)
Enterprise Account Executive
vCluster Labs —San Francisco, CA
- $280,000 - $330,000 a year
- Full-time
- Remote
- 7 years
- DevOps
- Senior level
- Health insurance
- Dental insurance

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DevOps / GPU Stack Build Architect

Advanced Micro Devices, Inc -
San Jose, CA

Apply Now

Job Details

5 days ago

Qualifications

Software engineering
Tooling
System design
System design for system development
Version control systems
Scalability
Design (software development lifecycle)

Full Job Description

Overview:

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we’re looking for talent who feel the same: people who want to leave the planet better than they found it, those who don’t shy away from humanity’s challenges but are determined to help solve them.

AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger — technology that moves the world forward.

Responsibilities:

AMD's AI software stack is moving fast — and keeping pace means shipping complete, validated GPU stack releases to customers as quickly as the software can evolve. Today, that release velocity is limited by the coordination overhead between the layers of the stack: firmware, kernel driver, and ROCm each have their own build systems, their own workflows, and no shared baseline. Every release requires manual effort to assemble and validate a coherent recipe across all three.

We're building the infrastructure to change that — a unified build platform that treats firmware, kernel, and ROCm as a single deliverable, built from source, validated together, and releasable on demand. The result: customers get supported, compatible GPU stack recipes faster, and AMD can respond to customer needs without the drag of disconnected build and release processes.

This is a greenfield architecture role. You'll be making foundational decisions during the proof-of-concept phase, with 1,000+ developers and 65+ firmware components as the eventual scope. If you want to design a build system from scratch — and you reach for an AI coding agent before a bash script — this role was written for you.

What You'll Do

Make foundational build system architecture decisions — the super-build is greenfield. You'll determine how 65+ firmware components, the kernel driver, and ROCm are structured, how dependencies are expressed and resolved, and how the system scales as more components onboard. These decisions matter and they're yours to make.
Lead firmware recipe migration using AI-assisted workflows — the existing firmware builds are scattered across multiple CI systems with no single source of truth. You'll reverse-engineer what exists, understand the dependencies, and convert those recipes into the unified build — using agentic AI coding tools to move at a pace that would otherwise take years. Strong opinions about package management and host dependency handling are a real advantage here.
Build repo automation that keeps the super-repo sane — with 65+ component repos feeding into a unified system, manual dependency updates don't scale. You'll map the full repo landscape, design the submodule/manifest architecture, and build the automation that keeps versions in sync without constant human intervention.
Unblock new team members from day one — the tiger team is actively growing and new engineers are blocked until they have a working dev environment. You'll stand up replicable, documented machine setups that solve the network access, firewall, and cloud quota constraints so onboarding stops being a bottleneck.

What We're Looking For

Required:

Deep software engineering experience with deep focus on build systems
Strong hands-on coding ability — this is an IC lead role, not a managing-from-above role
Expert-level knowledge of build tools (cmake, ninja, Bazel, or equivalent) and build system design at scale
Experience with packaging, host dependency management, and toolchain configuration
Track record of modernizing or architecting a build system used by 100+ developers
Strong understanding of version control and dependency management at scale (git submodules, manifest-driven workflows, etc.)

Strong Plus:

Fluency with agentic AI workflows (Cursor, Claude, Copilot, etc.) as a force multiplier for engineering throughput
Experience with firmware or kernel build systems (embedded firmware, Linux kernel, or similar)
Familiarity with GitHub Actions and CI/CD pipeline design
Experience building in or migrating to cloud-hosted runner environments (AWS)

Why This Role

Sharpen your agentic AI engineering skills — the scope of this work (65+ firmware components, greenfield architecture, 1,000+ eventual users) means you'll be using AI coding agents as a core part of your workflow every day, not occasionally. Reverse-engineering build recipes, generating dependency graphs, scaffolding build configurations — this is exactly the kind of high-volume, pattern-rich work where agentic AI makes the difference between a months-long slog and a fast, iterative build. You'll leave with a depth of experience in AI-assisted engineering that's hard to get anywhere else.
Greenfield scope — you're making foundational architectural decisions during the PoC phase, not inheriting and patching someone else's system
Customer-facing impact — the build platform you design directly determines how quickly AMD can ship complete, validated GPU stack releases
Latest hardware — you'll work alongside the teams building AMD's next-generation GPU stack
Open-source aligned — this work follows the same shift-left, trunk-health principles driving AMD's ROCm open-source direction

#LI-G11

#LI-HYBRID

Qualifications:

Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.

Apply Now

Refine Your Search

devops / gpu stack build architect jobs in california

DevOps / GPU Stack Build Architect

DevOps Engineer

Principal HPC Architect

Staff DevOps Engineer

DevOps Engineer

Research Computing Cloud Engineer

Sr. Engineering Manager, MLOps

Lead VP of Technology - Sovereign AI Platform

Principal Engineer - Verification, CI/CD Infrastructure & Embedded Hardware (AISW) - Remote Possible

Senior Cloud Infrastructure Engineer

Staff Engineer, CI/CD & Cloud Infrastructure

Senior Software Engineer AI

Sr. Platform Engineering

Senior AI Engineer - SFL Scientific

Senior AI Infrastructure Engineer

Solutions Architect - AI Infrastructure

Director, PEPI - Technology Services CTO Domain

Senior Manager, Customer Support

Director, PEPI - Technology Services CTO Domain

Enterprise Account Executive

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