Santa Clara, California, United States · On-site
$152k–$288k/yr
The NVIDIA DGXC Data Services team builds cloud-native systems, frameworks, and services for managing data across hybrid and multi-cloud infrastructure. We are building the next-generation data and storage infrastructure…
Skills: Kubernetes, Cloud Native, AWS, GCP, Azure
Santa Clara, California, United States · Hybrid
$150k–$200k/yr
At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible.…
Skills: HRIS, People Analytics, Data Governance, Process Optimization, HR Technology Strategy
Santa Clara, California, United States · On-site
$128k–$192k/yr
Company:Qualcomm Technologies, Inc. Job Area:Engineering Group, Engineering Group > Modem Technologies General Summary: Over the last few decades the Modem Systems group at Qualcomm has been instrumental in driving the m…
Skills: Communication theory, Applied mathematics, Statistics, Machine learning, Convex optimizations
Santa Clara, California, United States · On-site
$82k–$193k/yr
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From aut…
Skills: Data architecture, Python, SQL, ETL/ELT, Spark
Santa Clara, California, United States · On-site
$200k–$322k/yr
NVIDIA is looking for a skilled and motivated Senior Infrastructure Engineer to join our dynamic team. You will contribute to innovative solutions and optimize our operations using brand new technology to agentize workfl…
Skills: Software engineering, Team leadership, Project management, C++, Python
Santa Clara, California, United States · On-site
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
Skills: Artificial Intelligence, Machine Learning, Algorithmic Development, Semiconductor Technology, Technical Leadership
Santa Clara, California, United States · On-site
$151k–$227k/yr
Company:Qualcomm Technologies, Inc. Job Area:Engineering Group, Engineering Group > Machine Learning Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to en…
Skills: Machine learning, Compiler engineering, Python, C++, MLIR
Santa Clara, California, United States · On-site
$208k–$334k/yr
NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for 30 years. It’s an outstanding legacy of innovation that’s motivated by extraordinary technology—and outstanding people. Today, we’re …
Skills: Infrastructure Security, Network Architecture, Compute Services, Storage Services, Automation
Santa Clara, California, United States · On-site
$200k–$322k/yr
We're building the platform that lets long-running autonomous agents operate safely inside NVIDIA's enterprise. These are not assistants on a developer's laptop. They are fleets of agents deployed in the cloud, running c…
Skills: Distributed Systems, Infrastructure, Developer Platforms, Python, Go
Santa Clara, California, United States · Remote OK
$168k–$322k/yr
Do you love to work in a fast-paced and growing organization? Are you interested in enabling organizations to build digital worlds powered by the cloud? At NVIDIA, our employees are passionate about parallel and visual c…
Skills: Project delivery management, Data center environments, Technical architecture, Customer support, Hardware products
Santa Clara, California, United States · On-site
$161k–$221k/yr
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
Skills: Business Intelligence, Big Data, AI/ML, Solution Architecture, Project Portfolio Management
Santa Clara, California, United States · Hybrid
$191k–$334k/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: Machine learning, Java, Python, Security architecture, Inference engines
Santa Clara, California, United States · Hybrid
$191k–$334k/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: Machine learning engineering, Java, Python, Distributed systems, Search technologies
Santa Clara, California, United States · Hybrid
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technolo…
Skills: Financial Reporting, US GAAP, SEC Reporting, Financial Analysis, Process Improvement
Santa Clara, California, United States · Remote OK
$191k–$334k/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: Python, Splunk, API development, Data pipelines, Security operations
Santa Clara, California, United States · On-site
Manage the lab, lab build, hardware inventory, vendors.Maintain test procedures, including functional, performance, and stress testing.Perform system-level validation across functional, performance, stress and reliabilit…
Skills: Network Hardware Testing, Optical Transceiver Testing, Ethernet Switch Validation, Bit Error Rate Analysis, Signal Integrity
Emeryville, California, United States · On-site
$165k–$220k/yr
Atomic Machines is ushering in a new era of micromanufacturing with its Matter Compiler™ technology platform. This platform enables new classes of micromachines to be designed and built by providing manufacturing process…
Skills: React, TypeScript, Vite, Tailwind CSS, ReactFlow
Santa Clara, California, United States · Hybrid
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: Financial analysis, Financial modeling, Budgeting, Forecasting, Variance analysis
Santa Clara, California, United States · On-site
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technolo…
Skills: C++, Python, GPU Kernel Programming, CUDA, HIP
Santa Clara, California, United States · Hybrid
$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: Product management, Enterprise SaaS, Artificial intelligence, Retail industry, CRM
Santa Clara, California, United States • On-site
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Design and build cloud-native software services for data management, including catalogs and metadata lifecycle management for exabyte-scale GPU training. Collaborate with internal technical leaders and research teams to integrate innovations like GPU direct storage and DPU.
Requires a BS in Computer Science or related field with 5+ years of experience in cloud services and backend software engineering. Proficiency in languages like Go, Python, or C++ and experience with Kubernetes and major cloud providers is essential.
The NVIDIA DGXC Data Services team builds cloud-native systems, frameworks, and services for managing data across hybrid and multi-cloud infrastructure. We are building the next-generation data and storage infrastructure to solve some of the hardest problems in AI: storage, access, ingestion, governance, observability, and data management for exabyte-scale, high-performance GPU-based training and inference jobs. Our work gives NVIDIA teams the foundational capabilities they need to build, train, deploy, and operate AI products at scale without reinventing critical data infrastructure for every workload.
What you will be doing:
Build cloud-native data and storage services for hybrid and multi-cloud infrastructure, including dataset discovery, ingestion, governance, checkpointing, observability, and low-latency access.
Develop scalable cloud-native services and APIs that support exabyte-scale, high-performance GPU training and inference workflows.
Work closely with product managers, internal AI teams, platform teams, and partner engineering teams to understand requirements and turn them into reliable production systems.
Collaborate with SRE, operations, and support teams to improve service reliability, performance, observability, on-call readiness, and operational scale.
Use modern software engineering practices, including AI-assisted and agentic development workflows, while maintaining high standards for design, testing, security, and verification.
What we need to see:
BS in Computer Science, Information Systems, Computer Engineering, or equivalent experience, with 5+ years of software engineering experience.
Strong foundation in algorithms, data structures, distributed systems, and practical software design.
Experience building, shipping, and operating backend or cloud-native services using Kubernetes, cloud providers such as AWS, GCP, or Azure, and languages such as Go, Python, Rust, C/C++, or Java.
Ability to design APIs, document systems, reason through tradeoffs, communicate clearly, and break ambiguous problems into practical execution plans.
Experience working across engineering, product, platform, and operations teams to deliver reliable production software.
Curiosity and practical judgment around AI-assisted or agentic engineering workflows, including using clear intent, specifications, acceptance criteria, tests, and verification to guide development.
Ways to stand out from the crowd:
Hands-on experience building, scaling, or operating large-scale data, storage, or ML infrastructure services.
Experience solving enterprise-grade data management, governance, analytics, or AI workflow problems with modern data and ML infrastructure technologies.
Strong background in distributed systems, storage systems, cloud infrastructure, performance engineering, observability, or agentic engineering practices.
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention, the GPU, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.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 862 listings with disclosed salaries, most data & analytics jobs in Santa Clara, CA pay between $131k–$334k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 951 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.
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