NVIDIA Logo

NVIDIA

Senior Staff Site Reliability Engineer - Compute Core Engineering

Posted 11 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Santa Clara, CA
200K-322K Annually
Senior level
In-Office or Remote
Hiring Remotely in Santa Clara, CA
200K-322K Annually
Senior level
Lead the transformation, design, deployment, and operation of globally scaled on-premises and cloud compute infrastructure. Build reliable core services including DNS, NTP/PTP, DHCP, and LDAP; develop automation, monitoring, capacity planning, and lifecycle management. Define performance metrics, optimize systems using technologies such as SR-IOV and DPUs, and develop data analysis and visualization tools. Partner with engineering, product, program, and company leadership to deliver scalable IT services.
The summary above was generated by AI

NVIDIA has been reinventing computer graphics, PC gaming, and accelerated computing for 30 years. It is 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, generative AI, 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.

We are seeking a highly skilled Senior Staff SRE to join our dynamic team. Our company is at the forefront of technological innovation, and we are dedicated to driving efficiency and optimizing the performance of our infrastructure both on-prem and cloud. Join us in this exciting endeavor!

What you will be doing:

  • Lead initiatives to transform IT Compute Core Team, architecture to build new service offerings across On-Prem and Cloud

  • You will design, scale, and deploy core infrastructure services including DNS, NTP/PTP, DHCP, and LDAP. This includes building for performance and reliability at global scale, covering automation, monitoring, high availability, capacity planning, and lifecycle management.

  • Define and implement metrics to measure the efficiency of services and drive efficiency with software and hardware optimizations (SR-IOV/ DPU)

  • Experience with Technologies like eBPF and XDP for Observability & DDoS mitigation

  • Collect and review system data for capacity and planning purposes, analyze capacity data and develop plans for appropriate level enterprise-wide systems, and coordinate with management personnel in implementing changes.

  • Develop and maintain tools for collecting, analyzing, and visualizing data for reporting, alerting, monitoring.

  • Collaborate with NVIDIA leadership, senior engineers, program managers, and product managers to develop compelling IT products and services that meet customer needs.

What we need to see:

  • Bachelor’s degree in Engineering, Computer Science, Mathematics, or related field, or equivalent experience

  • 12+ years of proven experience in compute platform engineering with a focus on automation.

  • Experience in designing and deploying Containerization architectures and Distributed Systems Infrastructure

  • Proven experience evaluating existing application architectures and identify opportunities for containerization to improve scalability, reliability, and efficiency.

  • Strong analytical skills with the ability to define and track key performance metrics.

  • Experience in developing tools for data analysis and performance profiling, Development with Terraform, Config Management tools.

  • Proficiency in programming languages such as Go and/or Python.

  • Linux OS Proficiency with Kernel Internals

  • Experience with running large environments consisting of BareMetal Build Infrastructure

  • Understanding of Network Protocols and Architectures (VLAN/VxLAN/SDN/BGP/Anycast)

Ways to stand out from the crowd:

  • Deep understanding of other infrastructure components like, DNS, LDAP, Security Tools etc..

  • Hands-on experience with containers and its implementation

  • Deploying and Managing Services like DNS , LDAP at scale

  • Solid understanding of microservices architecture, infrastructure as code (IaC) and configuration management tools.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and passionate people on the planet working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 1, 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.

Similar Jobs

59 Minutes Ago
Remote
California, USA
Expert/Leader
Expert/Leader
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Leads Airwallex’s global Onboarding and Financial Crime Operations organization across KYC, sanctions screening, transaction monitoring, investigations, and periodic reviews. Owns strategy, staffing, operating procedures, performance management, controls, documentation, and continuous improvement across multiple jurisdictions. Partners with Compliance, Risk Product, Engineering, and Commercial teams to balance risk, customer experience, scalability, and cost. Drives AI and automation transformation, manages outsourced capacity, and ensures consistent operational execution across markets.
Top Skills: AIAPIs
3 Hours Ago
Remote or Hybrid
United States
191K-258K Annually
Expert/Leader
191K-258K Annually
Expert/Leader
Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
Architects and delivers foundational systems for an autonomous security investigation platform supporting MDR. Responsibilities include distributed data pipelines, query engines, orchestration, ML model infrastructure, scalability, reliability, observability, technical standards, design reviews, mentorship, and cross-team architecture. The role partners with ML, product, data science, and platform teams to solve complex technical problems across real-time security operations.
Top Skills: Amazon S3AWSData MeshDistributed Query EnginesDynamoDBEmbedding SystemsFlinkKafkaLlmsMl/Ai
Senior level
Artificial Intelligence • Big Data • Healthtech • Software • Biotech
Leads end-to-end IVD, companion diagnostic, clinical trial assay, tumor profiling, and SaMD development programs. Aligns internal cross-functional teams and biopharma partners across strategy, validation, clinical operations, regulatory submission, manufacturing, and commercialization. Owns governance, milestones, budgets, resources, risks, and partner relationships while delivering programs through regulatory approval or pivotal clinical trials.
Top Skills: Analytical ValidationAssay DevelopmentBioinformaticsBlaClinical ValidationCompanion Diagnostics (Cdx)Design ControlsEu IvdrFda Regulatory RequirementsIndIvdMaaNdaPhase I/Ii/IiiSoftware As A Medical Device (Samd)

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account