Senior Staff Platform Engineer

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 200,000 - 322,000 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 12+ yearsEducation: bachelorsSkills: ["Communication","Mentoring","Problem-solving","Reliability engineering"]

Architect and scale highly available platform services for AI/ML training, inference, and data-intensive workloads. You’ll own end-to-end design and production readiness across distributed compute, cloud infrastructure, networking, storage, DNS, and content delivery. Lead improvements to CDN/edge infrastructure (HTTP caching, TLS, WAF, traffic routing, global load balancing) and drive automation with infrastructure-as-code. Use observability, capacity analytics, and reliability metrics to increase scalability and operational simplicity.

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FursaFursa
NVIDIA
NVIDIA
3 days ago

Senior Staff Platform Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Architect and scale highly available platform services for AI/ML training, inference, and data-intensive workloads. You’ll own end-to-end design and production readiness across distributed compute, cloud infrastructure, networking, storage, DNS, and content delivery. Lead improvements to CDN/edge infrastructure (HTTP caching, TLS, WAF, traffic routing, global load balancing) and drive automation with infrastructure-as-code. Use observability, capacity analytics, and reliability metrics to increase scalability and operational simplicity.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Architect, build, and scale highly available platform services for AI/ML, distributed compute, and data-intensive workloads.
  • •Drive end-to-end ownership from architecture/design through implementation, production readiness, and large-scale adoption across cloud, compute, and networking.
  • •Advance CDN and edge infrastructure, including HTTP caching, origin architecture, TLS, WAF, rate limiting, traffic routing, and global load balancing.
  • •Build automation and self-service capabilities using infrastructure-as-code and orchestration, improving operational simplicity.
  • •Use observability, capacity analytics, incident learnings, and performance data to continuously improve reliability, scalability, efficiency, and fault tolerance.

Pay and Benefits

Salary: USD 200,000 - 322,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field, or equivalent experience.
  • •12+ years of relevant industry experience.
  • •Proven success architecting, building, and operating large-scale distributed platforms or infrastructure systems in production.
  • •Deep knowledge of Linux/Unix plus TCP/IP, DNS, TLS, HTTP/S, proxies, load balancing, availability, scalability, and fault-tolerant design.
  • •Strong programming/automation with Python or Go, with infrastructure-as-code and orchestration experience.
Experience:12+ years
Education:Bachelor's
Skills:CommunicationMentoringProblem-solvingReliability engineering
Tech Stack:PythonGoKubernetesTerraformLinux/UnixTCP/IPDNSTLSHTTP/SProxiesLoad balancingCDNEdge infrastructureWAFRate limitingAWSAzureGoogle Cloud PlatformAkamaiAWS CloudFront

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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