Senior Software Engineer - Distributed Systems Engineer, EDA Infrastructure

NVIDIA
Washington, Austin, Durham
Workplace: RemoteFull timeUSD 152,000 - 287,500 annuallyFunction: Software EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Problem-solving","Ownership"]

Design and build platforms that automate the provisioning, configuration, operation, and lifecycle management of large-scale GPU and CPU compute infrastructure for EDA workloads. Develop monitoring, health-management, remediation, and recovery workflows, integrating with workload schedulers and observability tools. Use telemetry from hardware, OS, schedulers, network, and storage to detect failures and return systems to service. Collaborate across infrastructure and hardware teams to improve reliability and utilization at production scale.

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FursaFursa
NVIDIA
NVIDIA
1 week ago

Senior Software Engineer - Distributed Systems Engineer, EDA Infrastructure

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Design and build platforms that automate the provisioning, configuration, operation, and lifecycle management of large-scale GPU and CPU compute infrastructure for EDA workloads. Develop monitoring, health-management, remediation, and recovery workflows, integrating with workload schedulers and observability tools. Use telemetry from hardware, OS, schedulers, network, and storage to detect failures and return systems to service. Collaborate across infrastructure and hardware teams to improve reliability and utilization at production scale.
Location: Washington, Austin, Durham
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and build platforms that automate provisioning, configuration, operation, and lifecycle management of large-scale GPU and CPU compute infrastructure.
  • •Develop monitoring, health-management, and remediation systems to improve reliability, availability, and utilization of EDA compute environments.
  • •Automate deployment activities including hardware rollout, operating-system configuration, firmware/software updates, cluster enrollment, and recovery workflows.
  • •Build services and workflows that integrate with workload schedulers, infrastructure management systems, and observability platforms.
  • •Participate in incident response, root-cause analysis, capacity planning, and continuous improvement of production services.

Pay and Benefits

Salary: USD 152,000 - 287,500 annually
Equity and Bonus:Equity

Key Requirements

  • •5+ years of software engineering or infrastructure engineering experience supporting large-scale production systems.
  • •BS in Computer Science/Engineering/Physics/Mathematics (or equivalent experience).
  • •Strong programming experience in Go or Python with solid knowledge of data structures, algorithms, testing, and software design.
  • •Experience designing automation for distributed systems and large fleets of Linux-based compute nodes.
  • •Experience with infrastructure automation, software deployment, observability, and operational recovery.
Experience:5+ yearsInfrastructureDistributed systemsEDAHigh-performance computing
Education:Bachelor's
Skills:CommunicationProblem-solvingOwnership
Tech Stack:GoPythonLinuxKubernetesSlurmLSFBright Cluster Manager

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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