Senior Staff Site Reliability Engineer
About the job
- A bachelor's degree in Engineering, Computer Science, Mathematics, or a related field, or equivalent experience.
- 15+ years of proven experience in compute platform engineering with a focus on automation.
- Experience designing and deploying containerization architectures and distributed systems infrastructure.
- Experience evaluating existing application architectures and identifying opportunities for containerization to improve scalability, reliability, and efficiency.
- Strong analytical skills with the ability to define and track key performance metrics.
- Experience developing tools for data analysis and performance profiling, and developing with Terraform and configuration management tools.
- Proficiency in programming languages such as Go and/or Python.
- Proficiency with the Linux operating system and kernel internals.
- Experience running large environments consisting of bare-metal build infrastructure.
- Understanding of network protocols and architectures, including VLAN, VXLAN, SDN, BGP, and Anycast.
- Lead initiatives to transform the IT Compute Core Team architecture and build new service offerings across on-premises and cloud environments.
- Design, scale, and deploy core infrastructure services including DNS, NTP/PTP, DHCP, and LDAP, covering automation, monitoring, high availability, capacity planning, lifecycle management, performance, and reliability at global scale.
- Define and implement metrics to measure service efficiency and drive efficiency through software and hardware optimizations, including SR-IOV and DPU.
- Use eBPF and XDP technologies for observability and DDoS mitigation.
- Collect and review system data for capacity planning, analyze capacity data, develop plans for appropriate enterprise-wide systems, and coordinate implementation changes with management personnel.
- Develop and maintain tools for collecting, analyzing, and visualizing data for reporting, alerting, and monitoring.
- Collaborate with NVIDIA leadership, senior engineers, program managers, and product managers to develop IT products and services that meet customer needs.
- Deep understanding of infrastructure components such as DNS, LDAP, and security tools.
- Hands-on experience with containers and their implementation.
- Experience deploying and managing services such as DNS and LDAP at scale.
- Solid understanding of microservices architecture, infrastructure as code, and configuration management tools.
About the company
NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.
Company Size
10,001+
Company Stage
IPO
Headquarters
Santa Clara, California
Founded
1993
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Simplify's Take
What believers are saying
- AI demand is still surging: data center sales rose 117% to $89 billion in the quarter ending July 2026.
- Stock grants are worth more: shares hit a record in October 2026, up 28% for the year.
- Engineering dominates hiring: 1,722 of NVIDIA's 2,686 job listings in October 2026 were in engineering.
What critics are saying
- Big buyers are hedging: Meta's February 2026 agreement covers 6 gigawatts of AMD chips.
- Financing its buyers is getting harder: lenders pushed back on NVIDIA's $500 billion chip-backed loan plan in October 2026.
- Staff described long hours: Bloomberg's August 2024 interviews reported seven-day weeks, late nights and shouting matches.
What makes NVIDIA unique
- Rivals must match its software too: over 7.5 million developers use CUDA and other NVIDIA tools to program its chips.
- The CEO has a broad direct staff: Jensen Huang says over 60 people report to him, without one-on-ones.
- People rarely leave: NVIDIA's yearly staff turnover is 3.7%, versus a 21.9% average across the tech industry.
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-2%Nvidia shares fell 0.3% to $225.67 at 10:29 ET on October 13, after Reuters reported that French cloud provider Scaleway plans to deploy Nvidia's Blackwell chips in its Copenhagen expansion. Scaleway chose the HGX B300, which holds eight Blackwell GPUs per baseboard. Each GPU carries 288GB of memory, or 2.304TB per baseboard. The order value and number of systems were not disclosed, so the project's effect on Nvidia's sales is unclear. Investors are waiting for installation volumes, launch dates, and follow-up orders. Nvidia has a GF Score of 95 out of 100, but its valuation remains the main pressure point.
Nvidia will present at SEMICON West on October 13 in San Francisco, as it pushes deeper into chip design and manufacturing. Tim Costa, vice president and general manager of Industrial and Computational Engineering, will give the CEO Summit keynote, "The Next Generation of Chips Starts With AI." Nvidia plans to show how its GPUs, CUDA software, Omniverse digital twins, and robotics can become part of chip production, not just supply computing hardware. The event runs October 13 to 15 at the Moscone Center. The company, valued at about $5.5 trillion, reported second-quarter fiscal 2027 revenue of $96.2 billion, up 105.9% year over year and above the $92.17 billion analysts expected. Data Center revenue rose 117% to $89 billion. Adjusted earnings per share were $2.22.
Ray Dalio says the AI boom looks like a "classic bubble," yet Bridgewater Associates holds Nvidia as its largest individual stock and third-largest position overall. One investor says the holdings matter more than the warning, and keeps buying. Nvidia's second-quarter fiscal 2027 revenue rose 105.8% to $96.22 billion. Data Center revenue hit $89.02 billion, up 117%, and third-quarter guidance is $108.0 billion. Management expects revenue to grow about 70% in fiscal 2028, limited by supply. Net margin is 55.60%, and the company returned $26.0 billion to shareholders last quarter. Risks include $279 billion in supply commitments and China's absence from guidance. The stock fell 5.27% last week.
Nvidia will buy a minority stake in French healthcare booking platform Doctolib. Doctolib did not specify the size or value of the stake. It said Nvidia's presence would help it develop artificial intelligence tools.
Nvidia, ranked second on Insider Monkey's list of Claude AI's best-performing stock picks this year, may have room to keep growing. Its revenue rose 83.38% year over year, and it trades at 24.6 times forward earnings, below its five-year average of 42.1. Nvidia expects its Vera Rubin platform to make up roughly 20% of data centre revenue in the fiscal third quarter. Chief executive officer Jensen Huang puts the central processor market opened by its Vera chip at $200 billion, and says Vera could bring $20 billion in sales this fiscal year. Nvidia is also helping customers fund data centres, including a guarantee of up to $105 billion for an Ohio campus built for an OpenAI affiliate. That adds lender-style risk, and rivals such as AMD are gaining ground.