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Full-time
bachelor degree, postgraduate degree
Posted 6d ago
Apply by Sep 4
~40 hrs/week
Responsibilities
The role involves building and operating large-scale GPU compute infrastructure to support AI and machine learning workloads. Responsibilities include designing scalable orchestration systems, developing platform features, and partnering with development teams to streamline workflows.
Requirements
Candidates should have deep hands-on experience with Kubernetes, container orchestration, and infrastructure engineering. A background in HPC, GPU-based compute systems, and proficiency in Infrastructure as Code tools like Terraform are highly preferred.
Full job description
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.
THE ROLE:
We are seeking a DevOps / Platform Engineer to join our team building and operating large-scale GPU compute infrastructure that powers AI and ML workloads.
THE PERSON:
The ideal candidate should be passionate about software engineering and possess leadership skills to independently deliver on multi-quarter projects. They should be able to communicate effectively and work optimally with their peers within our larger organization. Finally, you aren't afraid of a team in more of a startup mode at a larger company and willing to jump in to help in areas adjacent to your main project as needed.
KEY RESPONSIBILITIES:
Build and extend platform capabilities to enable new classes of workloads (e.g., interactive development pods, CI pipelines, inference services, benchmarking jobs).
Design and operate scalable orchestration systems using Kubernetes across both on-prem and multi-cloud environments.
Develop platform features such as secret management, configuration management, and deployment automation for customers.
Partner with development teams to extend the GPU developer platform with features, APIs, templates, and self-service workflows that streamline job orchestration and environment management.
Manage service lifecycle within Kubernetes using Helm and GitOps workflows (e.g., ArgoCD or Flux).
Apply expertise in storage and networking to design and integrate CSI drivers, persistent volumes, and network policies that enable high-performance GPU workloads.
PREFERRED EXPERIENCE:
Experience in DevOps, Platform, or Infrastructure Engineering.
Deep hands-on experience with Kubernetes and container orchestration at scale.
Proven ability to design and deliver platform features that serve internal customers or developer teams
Experience building developer-facing platforms or internal developer portals (e.g.custom workflow tooling).
Hands-on experience in storage or network engineering within Kubernetes environments (e.g., CSI drivers, dynamic provisioning, CNI plugins, or network policy).
Experience with Infrastructure as Code tools like Terraform.
Background in HPC, Slurm, or GPU-based compute systems for ML/AI workloads.
Practical experience with monitoring and observability tools (Prometheus, Grafana, Loki, etc.).
Understanding of machine learning frameworks (PyTorch, vLLM, SGLang, etc.).
PREFERRED ACADEMIC CREDENTIALS:
Bachelors or Masters degree in Computer Science, Computer Engineering, or a related field.
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.
We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.
AMD together we advance_
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How much do Data & Analytics jobs in San Jose, CA pay?
Based on 939 listings with disclosed salaries, most data & analytics jobs in San Jose, CA pay between $110k–$293k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in San Jose, CA right now?
There are currently 1,040 open data & analytics positions in San Jose, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in San Jose, CA?
Companies currently hiring include Adobe, Capital One, AMD, Google, WD, among others. Browse the listings above to see every active employer.
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Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.