NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the he…
Skills: NetApp ONTAP, Pure Storage, Cloudian, DDN, Ansible
Senior Research Scientist - Robotics Foundation Models
Santa Clara, California, United States · On-site
Senior
Job Description:About Maxinsights Maxinsights is building the foundation layer for Physical AI, the intelligence that enables robots to perceive, reason, learn, and act in the real world. Our mission is to unlock scalabl…
Skills: Robotics, Machine learning, Computer vision, Foundation models, Embodied AI
Senior Technical Program Manager – Silicon Co-Design
Santa Clara, California, United States · Hybrid
$200k–$322k/yr
Senior+$29B raised
NVIDIA's Silicon Co-Design Group (SCG) sits at the intersection of architecture, silicon, systems, and manufacturing — where engineering judgment at the highest level drives real-world product outcomes at scale. We are h…
Skills: SoC Program Management, Silicon Bring-up, Validation, Productization, Technical Leadership
Business Systems Analyst - Strategic Portfolio Management
Santa Clara, California, United States · On-site
$168k–$270k/yr
Senior+$29B raised
NVIDIA is seeking a Business Systems Analyst to join our Strategic Portfolio Management team and develop the enterprise systems that help teams plan, collaborate, and deliver. The team builds and modernizes work-manageme…
Skills: Business Systems Analysis, Jira, Python, Groovy, SQL
Senior Display and Graphics Software Engineer - Customer Engineering
Santa Clara, California, United States · On-site
$125k–$188k/yr
Mid level$4M raised
Company:Qualcomm Technologies, Inc. Job Area:Engineering Group, Engineering Group > Software Applications Engineering General Summary: Qualcomm is a leader in mobile wireless communications & computing chipsets. We are w…
Skills: C, C++, Device driver programming, JTAG, Linux kernel
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…
Company:Qualcomm Atheros, Inc. Job Area:Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-gen…
Senior System Software Engineer - Scientific Computing PaaS
Santa Clara, California, United States · On-site
$184k–$357k/yr
Senior+$29B raised
We are seeking a Sr System Software Engineer to help us build out our scientific computing platform workflows on Cloud. This Cloud based scientific computing cloud platform enables Physics based Numerical Simulation Solv…
Skills: Distributed Systems, Cloud Computing, Go, Rust, C++
Role Overview Velaura is building custom silicon for Physical and Embodied AI, and we are building it from a blank sheet. The automation our design and verification engineers use to get from RTL to a clean handoff shapes…
Senior Power Architect, SoC Power and Thermal Management SW
Santa Clara, California, United States · On-site
$224k–$431k/yr
Senior+$29B raised
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 leading technology—and amazing people. Today, we’re tapping…
Skills: SoC power management, Thermal management, Performance optimization, C, System software
Software Development Manager, Network Lifecycle Management
Santa Clara, California, United States · On-site
$213k–$288k/yr
Senior+$67M raised
The world of networking is undergoing a sea change. Commodity routers, repeatable designs, dense fabrics and virtualization techniques dot the data center network landscape. SDN concepts are merging the boundaries of con…
Skills: Software development management, Java, Python, Distributed systems, Network engineering
The NVIDIA Operations organization is seeking an experienced software engineering professional for the position of System Data Architect. As a member of our team you will be an integral part of building data platforms an…
Skills: Python, Data architecture, ETL pipelines, Spark, SQL
NVIDIA's Enterprise Security organization is looking for a Senior Security Engineer passionate about platform and device security! This role includes leading device attestation and our enterprise secure browser program's…
Job Details: Job Description: About Intel & Silicon Chassis Intel is seeking an Entry Level Design Verification Engineer for the Silicon Chassis team. In this role, you will contribute to the verification of next-generat…
Skills: Design verification, Logic design, Digital circuits, RTL, C++
Staff Security Engineer - PAM and Agentic Identity
Santa Clara, California, United States · On-site
$168k–$270k/yr
Senior+$29B raised
NVIDIA seeks a skilled engineer to upgrade, automate, tailor, and expand our Privileged Access Management (PAM) and Non-Human Identity (NHI) capabilities to fit agentic era expectations. This position will focus on impro…
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the he…
About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology …
Skills: ATE test solutions, Advantest 93K, Teradyne, Test program development, Silicon process
The Silicon Co-Design Group (SCG) sits at the crossroads of architecture, design, marketing, operations, and productization. Our work spans early architecture through final product delivery across Datacenter, Gaming, Rob…
Skills: System validation, Silicon debug, GPU architecture, SoC architecture, Signal integrity
Software Manager, Productivity Engineering and Software Tools
Santa Clara, California, United States · On-site
$224k–$431k/yr
Senior+$29B raised
NVIDIA is looking for a top-tier Software Engineering Leader to join the NVIDIA-Cumulus Linux Team! Are you looking for an exciting role that allows you to lead Cumulus Linux Release Engineering operations and take full …
We’re looking for hands-on engineers with expertise and passion in solving difficult problems in distributed systems, operating systems, virtualized infrastructure, and highly available services. If this is you, at Oracl…
Skills: Python, Java, TypeScript, Kafka, Distributed systems
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$168k–$334k/yr
Full-time
postgraduate degree
Equity, Benefits
Posted 1d ago
~40 hrs/week
Responsibilities
You will design, deploy, and operate multi-vendor storage platforms while building automation and CI/CD pipelines to enable self-service infrastructure. You will also manage day-to-day operations, including capacity planning, performance tuning, and cross-team collaboration to support engineering workflows.
Requirements
Candidates must have 8+ years of experience with enterprise storage systems and deep knowledge of platforms like NetApp, Pure Storage, or DDN. Proficiency in Infrastructure as Code tools, scripting languages like Python or Go, and experience with CI/CD workflows are required.
Full job description
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, 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 unique creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.
Join our team at NVIDIA as a Senior Storage Platform Engineer responsible for designing, deploying, and operating the storage platforms that power NVIDIA's EDA FARM, software engineering, AI/ML teams, and engineering workflows at scale. You will own the full lifecycle of our multi-vendor storage infrastructure while simultaneously building the automation, pipelines, and integrations that turn storage into a scalable, self-service platform.You will drive Infrastructure as Code adoption across various Storage platforms, and ensure our storage estate is tightly integrated with CMDB, observability, configuration management, and self-service tooling.
What You'll Be Doing:
Lead end-to-end deployment of storage systems across NetApp, Pure Storage, Cloudian, and DDN, owning timelines, configuration quality, and delivery against project milestones.
Define and enforce configuration standards, baselines, and operational runbooks across all platforms; ensure every deployment is consistent, documented, and auditable.
Design and implement Infrastructure as Code frameworks (Ansible, Terraform, or equivalent) to automate provisioning, configuration management, and lifecycle operations across all storage platforms.
Build and maintain CI/CD pipelines for storage configuration deployments — ensuring every change is reviewed, tested, and rolled out in a repeatable, validated manner.
Develop and own integrations between storage platforms and the broader infrastructure ecosystem: CMDB for asset discovery and inventory sync, observability stacks for metrics and alerting, configuration management tools for drift detection, and self-service portals that let engineering teams provision storage on demand.
Manage day-2 operations including capacity planning, firmware and software lifecycle management, performance tuning, and root cause analysis.
Partner with stakeholders like chip design teams, software engineering, research and application teams to deliver integrated, fit-for-purpose storage solutions for engineering workloads
Champion GitOps practices for storage — every configuration tracked, every change reviewed, no manual snowflakes.
What we need see:
8+ years of hands-on experience with enterprise storage systems in large-scale production environments.
Deep working knowledge of at least three platforms from our stack: NetApp ONTAP (NFS/NAS), Pure Storage FlashArray or FlashBlade, Cloudian HyperStore (S3 object), DDN (Lustre/EXAScaler or high-performance NAS).
Strong command of storage protocols — NFS, SMB, iSCSI, NVMe-oF, S3, and Lustre.
Proven experience building infrastructure automation with Ansible, Terraform, or equivalent IaC tools.
Proficiency in Python, Go, or similar, with a track record of building reusable tooling rather than one-off scripts.
Experience integrating storage systems with CMDB platforms (ServiceNow, Nautobot, Cerebro or equivalent) and observability stacks (Prometheus/Grafana, Splunk, Datadog, or equivalent).
Solid experience with CI/CD platforms (GitHub Actions, Jenkins, GitLab CI, or equivalent) and Git-based workflows.
Ability to work across teams and translate infrastructure needs into platform capabilities.
MS Degree in Computer Science or equivalent experience
Way to stand out from the crowd:
You've worked in HPC, AI/ML, or large-scale research computing environments where storage is mission-critical and throughput matters.
You've built self-service storage provisioning workflows — not just automated deployments, but systems that enable other teams to move independently.
You are experienced with containerization technologies, such as Docker, Mesosphere DCOS, Kubernetes (k8s).
You've contributed to or maintained internal developer tools or platform APIs — not just consumed them.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 208,000 USD - 333,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 14, 2026.
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.
Related keywords
Storage Platform EngineerNVIDIAArtificial IntelligenceHPCEDA FARMInfrastructure as CodeNetAppPure StorageCloudianDDNAnsibleTerraformPythonGoCI/CDCMDB
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 1388 listings with disclosed salaries, most software jobs in Santa Clara, CA pay between $131k–$328k per year. Individual offers vary with seniority, company size, and specialization.
How many Software jobs are open in Santa Clara, CA right now?
There are currently 1,521 open software positions in Santa Clara, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Software roles in Santa Clara, CA?
Companies currently hiring include NVIDIA, ServiceNow, Qualcomm, AMD, Applied Materials, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Software jobs in Santa Clara, CA?
Yes — 450 of the 1521 open software positions offer remote or hybrid work (105 remote, 345 hybrid).
How do I apply for Software jobs in Santa Clara, CA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.