Top 13 devops / gpu stack build architect Jobs in san jose, ca

DevOps / GPU Stack Build Architect
Advanced Micro Devices, Inc —San Jose, CA
- Hybrid work
- System design
- AWS
- Senior level
Senior AI Engineer - SFL Scientific
Deloitte —San Jose, CA
- $128,000 - $252,500 a year
- Full-time
- Computer science
- Azure
- Computer Science
7d
Senior Cloud Infrastructure Engineer
Gatik AI —Mountain View, CA
- $180,000 - $240,000 a year
- System design
- Office
- Senior level
Sr. Platform Engineering
Archer —San Jose, CA
- $144,000 - $175,000 a year
- Email
- Azure
- 5 years
- In-person
Quick Apply
Principal DevOps Engineer
AppZen —San Jose, CA
- $240,000 - $280,000 a year
- Full-time
- Azure
- DevOps
- Mentoring
Senior AI Infrastructure Engineer
Gatik AI —Mountain View, CA
- $180,000 - $240,000 a year
- System design
- Office
- Analysis skills
Senior Solutions Architect, Autonomous Vehicles - Data Center
NVIDIA —Santa Clara, CA
- $184,000 - $356,500 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
Staff HPC Engineer
KLA —Milpitas, CA
- $162,700 - $284,700 a year
- Full-time
- Doctoral degree
- DevOps
- System design
- Employee stock purchase plan
- Paid holidays
9d
AI Engineering Manager - SFL Scientific
Deloitte —San Jose, CA
- Full-time
- Azure
- Computer Science
- Office
13d
MLOps Engineer
Stanford Health Care —Newark, CA
- $79.21 - $104.97 an hour
- Full-time
- Computer science
- Azure
- Computer Science
Senior Solutions Architect, Autonomous Driving - GenAI
NVIDIA —Santa Clara, CA
- $184,000 - $287,500 a year
- Full-time
- Azure
- Computer Science
- Writing skills
Senior ML Performance Engineer
Lemurian Labs —Santa Clara, CA
- Computer science
- 7 years
- Computer Science
- Health insurance
- Dental insurance
Principal/Lead Engineer
Uniphore —Palo Alto, CA
- $226,100 - $310,900 a year
- Full-time
- Computer Science
- Bachelor of Science
- DevOps
- Paid holidays
- Health insurance

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Senior AI Engineer - SFL Scientific
Deloitte —San Jose, CA
Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured…
$128,000 - $252,500 a year
7d
Senior Data Scientist Engineer - SFL Scientific
Deloitte —San Jose, CA
Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware…
$128,000 - $252,500 a year
13d

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Senior AI Engineer - SFL Scientific
Deloitte —Columbus, OH
Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured…
$128,000 - $252,500 a year
7d
AI Engineering Manager - SFL Scientific
Deloitte —Columbus, OH
AI Engineering Manager are responsible for developing design patterns, infrastructure, and engineering resources by understanding business and use case…
13d

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devops / gpu stack build architect jobs near san jose, ca

DevOps / GPU Stack Build Architect

Advanced Micro Devices, Inc -
San Jose, CA

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Job Details

Qualifications

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

Full Job Description

Overview:

WHAT YOU DO AT AMD CHANGES EVERYTHING

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.

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:

10+ years of 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.

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devops / gpu stack build architect jobs in san jose, ca

DevOps / GPU Stack Build Architect

Senior AI Engineer - SFL Scientific

Senior Cloud Infrastructure Engineer

Sr. Platform Engineering

Principal DevOps Engineer

Senior AI Infrastructure Engineer

Senior Solutions Architect, Autonomous Vehicles - Data Center

Staff HPC Engineer

AI Engineering Manager - SFL Scientific

MLOps Engineer

Senior Solutions Architect, Autonomous Driving - GenAI

Senior ML Performance Engineer

Principal/Lead Engineer

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