Santa Clara, California, United States · On-site
$148k–$276k/yr
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping i…
Skills: Kubernetes, GitLab CI, GitHub Actions, Python, Go
Santa Clara, California, United States · On-site
$168k–$270k/yr
We are looking for Senior Software Development Engineer in Test to join our Confidential Computing team for NVIDIA's Enterprise SWQA team. Are you passionate about new feature development, automation development, test an…
Skills: Python, C++, C, Linux, AI Tools
Santa Clara, California, United States · Remote OK
$221k–$387k/yr
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for …
Skills: Distributed Systems, System Design, Java, Python, AI-Native Product Development
Santa Clara, California, United States · Hybrid
$167k–$291k/yr
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for …
Skills: Software Engineering Management, Software Asset Management, AI Integration, Technical Leadership, Java
Santa Clara, California, United States · Remote OK
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 …
Skills: Product Management, GPU Computing, AI Inference Infrastructure, Open-Source Software Management, PyTorch
Santa Clara, California, United States · Remote OK
$221k–$387k/yr
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for …
Skills: Distributed Systems, Microservices, Java, Python, AI-Powered Workflows
Santa Clara, California, United States · Hybrid
Eightfold is a global leader in an AI-native enterprise talent platform, trusted by the world’s largest & most respected Fortune 500 organizations. Our platform is built from the ground up, operating at scale across Azur…
Skills: Deal Structuring, Commercial Governance, Financial Modeling, Stakeholder Management, People Management
Santa Clara, California, United States · On-site
$180k–$270k/yr
We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. This type…
Skills: PCIe Validation, Python, Linux, PCIe Analyzers, SSD Qualification
Santa Clara, California, United States · Hybrid
$167k–$291k/yr
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for …
Skills: Software Engineering Management, AI Integration, Technical Leadership, Java, C++
Santa Clara, California, United States · On-site
Are you interested in enhancing the capabilities of Siri and Apple products to benefit our users? The Siri and Information Intelligence team is revolutionizing how hundreds of millions of people utilize their devices to …
Skills: PyTorch, TensorFlow, JAX, C/C++, Go
Santa Clara, California, United States · On-site
$217k–$326k/yr
We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. This type…
Skills: SSD Reliability Validation, NAND Flash Fundamentals, Python, Linux, Reliability Statistics
Santa Clara, California, United States · Hybrid
$255k–$445k/yr
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for …
Skills: Kubernetes, Distributed Systems, Multi-Cloud Topology, Control Plane Design, Go
Santa Clara, California, United States · Hybrid
$255k–$445k/yr
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for …
Skills: Kubernetes, Distributed Systems, Cloud-Native Architecture, Go, Multi-Cloud Topology
Santa Clara, California, United States · On-site
Designs scalable test strategies for complex systems, defining coverage to address integration complexity and technical risks. Oversees test environment setup across teams, adapts validation plans, and enforces quality g…
Skills: Scalable Test Strategies, Test Automation Frameworks, Application Security, CI/CD Pipelines, Root Cause Analysis
Santa Clara, California, United States · On-site
$149k–$297k/yr
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnost…
Skills: Real-World Evidence, Data Analytics, Clinical Research, Health Economics, R
Santa Clara, California, United States · On-site
$134k–$184k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: Financial Modeling, FP&A, GAAP Reporting, Strategic Planning, Data Visualization
Santa Clara, California, United States · On-site
$174k–$240k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: Product Marketing, Technical Depth, Domain Expertise, Semiconductor Processes, Data Platforms
Santa Clara, California, United States · Hybrid
$131k–$146k/yr
Interested candidates based outside of the designated areas are welcome to apply, provided they have the indefinite right to work in the job location. Cohesity is a leader in AI-powered data security and management. Aide…
Skills: C++, Python, Java, Go, Distributed Systems
Santa Clara, California, United States · On-site
$20/hr–$71/hr
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing…
Skills: Python, Deep Learning, Natural Language Processing, PyTorch, JAX
Santa Clara, California, United States · On-site
$80k–$100k/yr
Are you interested in working with the World’s leading AI-first Quality Engineering Company? Ready to advance your career, team up with global thought leaders across industries and make a difference every day? Join us at…
Skills: Data Validation, ETL Testing, SQL, Microsoft Azure, Medallion Architecture
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Own and scale the internal CI as a Service platform, managing shared GitLab CI and GitHub Actions infrastructure. Responsible for the end-to-end Kubernetes substrate, including cluster lifecycle, autoscaling, and reliability engineering.
Requires 5+ years of SRE experience with deep expertise in Kubernetes administration and CI/CD automation at scale. Proficiency in Python, Go, and IaC tools like Terraform and Ansible is essential.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA is seeking a passionate, motivated, and technical Engineer to join its multifaceted and fast-paced Infrastructure, Planning, and Processes organization as a Senior SRE Engineer. You will own and scale our internal CI as a Service platform. This platform includes the shared GitLab CI and GitHub Actions infrastructure used daily by thousands of engineers. You will manage this platform like a product: highly available, self-service, observable, and elastic to handle build and test workloads across the company. The position is part of a fast-paced team that develops and maintains complex build and test environments. These environments support various hardware platforms, including NVIDIA GPUs and Tegra Processors, as well as multiple operating systems like Windows, Linux, and Android. The team collaborates with other NVIDIA Software units such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence, Robotics, and Autonomous cars to meet their infrastructure and system needs.
Develop, handle, and expand a multi-tenant CI platform built on GitLab’s CI framework and GitHub’s action-based automation, encompassing runner fleets, shared caches, artifact storage, and secrets brokering.
Own the underlying Kubernetes substrate end-to-end. This includes cluster lifecycle, upgrades, and autoscaling. Manage node pools for GPU, CPU, and ARM workloads. Handle network and storage policy. Operate the controllers and operators that schedule runner pods on demand.
Drive reliability and capacity engineering: SLOs and error budgets for queue time, job success, and runner availability; on-call, incident response, postmortems, and structural fixes that keep toil flat as usage grows.
Build the self-service layer pipeline templates, reusable workflows, golden images, policy-as-code, and guardrails so product teams onboard in hours, not weeks, with secure-by-default pipelines.
Improve developer experience continuously: faster cold-starts, smarter caching, hermetic builds, test sharding and flakiness reduction, and deep observability into pipeline performance and cost per team.
5+ years in SRE/platform roles with strong fundamentals — SLO/SLI build, incident command, resource planning, performance tuning, and production Linux administration at scale.
Deep Kubernetes administration experience: CRDs and operators, HPA/VPA/cluster-autoscaling, ingress, service mesh, RBAC, network policies, storage classes and deep problem-solving skills.
Hands-on expertise with GitLab continuous integration and GitHub automated workflows at scale — runner architecture, executor tuning, self-hosted runner controllers (ARC, GitLab-runner Helm chart), cache and artifact strategy, and pipeline development involving DAGs or equivalent experience.
Strong scripting and automation skills in Python, Go, bash scripting or equivalent. You should have production experience with IaC and configuration management tools like Terraform, Helm, and Ansible. Experience with GitOps tools such as Argo CD and Flux is also required.
BS/MS in CS or equivalent experience in building observability tools like Prometheus, Grafana, Loki/ELK, OpenTelemetry or similar products. You have shipped platforms that other specialists enjoy using.
Strong understanding of containerization and microservices architecture. Certified Kubernetes Administrator (CKA), Certified Kubernetes Security Specialist (CKS) & Certified Kubernetes Application Developer (CKAD) preferred.
Built or extended the CI control plane itself — custom runner schedulers, autoscaling, webhooks routers, or pipeline orchestration on top of GitLab/GitHub APIs.
Thrives in a multi-tasking environment with continuously evolving priorities.
Ability to analyze complex problems into simple sub problems and then reuse available solutions to implement most of those. Ability to build simple systems that can work efficiently without needing much support.
Prior experience with large scale operations team. Experience with using and improving data centers. Background with computer algorithms and ability to choose the best possible algorithms to meet the scaling challenge.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
Offices: 2701 San Tomas Expressway, Santa Clara, CA 95050, US · No. 8, Ji Hu Rd., Taipei City, Taipei City 114, TW · Nanakramguda, Serilingampally Mandal, Plot # 6A&B, IT Park Layout, RR District, Hyderabad, Telangana 500046, IN · No. 127 Andheri Kurla Road, CNB Square, Mumbai, Village Chakala, Andheri East 400 093, IN · Survey No. 144/145, Samrat Ashok Path, Off Airport Road, Pune, Yerwada 411 006, IN
Based on 561 listings with disclosed salaries, most data & analytics jobs in Santa Clara, CA pay between $132k–$326k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 596 open data & analytics positions in Santa Clara, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include NVIDIA, Applied Materials, ServiceNow, Pure Storage, Amazon, among others. Browse the listings above to see every active employer.
Yes — 167 of the 596 open data & analytics positions offer remote or hybrid work (52 remote, 115 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
