Senior Performance Engineer - DGX Cloud

NVIDIA
United States
Workplace: RemoteFull timeUSD 224,000 - 431,250 annuallyFunction: Solutions Engineering & Sales EngineeringEducation: bachelorsSkills: ["Communication","Prioritization","Collaboration","Problem diagnosis"]

Advance the performance, efficiency, and resiliency of large-scale AI workloads in DGX Cloud. You’ll analyze end-to-end compute, networking, storage, and software behavior, run rigorous performance studies to establish baselines and diagnose regressions, and turn profiling/observability data into prioritized optimization plans. Partner with deep learning engineers, platform teams, and GPU architects, communicating findings and tradeoffs to shape system and software design decisions.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
NVIDIA
NVIDIA
1 month ago

Senior Performance Engineer - DGX Cloud

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Advance the performance, efficiency, and resiliency of large-scale AI workloads in DGX Cloud. You’ll analyze end-to-end compute, networking, storage, and software behavior, run rigorous performance studies to establish baselines and diagnose regressions, and turn profiling/observability data into prioritized optimization plans. Partner with deep learning engineers, platform teams, and GPU architects, communicating findings and tradeoffs to shape system and software design decisions.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Analyze end-to-end performance of large-scale AI workloads across compute, network, storage, and software stacks.
  • •Design and execute performance studies to establish baselines, diagnose regressions, and quantify bottlenecks.
  • •Define performance and efficiency evaluation methodologies, benchmarks, and success metrics for AI workloads.
  • •Use profiling, observability, and data analysis to turn measurements into actionable optimization plans.
  • •Partner with deep learning engineers, platform teams, and GPU architects to validate and deliver performance improvements.

Pay and Benefits

Salary: USD 224,000 - 431,250 annually
Equity and Bonus:Equity

Key Requirements

  • •BS or higher in computer science, computer engineering, or related field (or equivalent experience).
  • •12+ years of strong programming in C++ and Python, building reliable analysis and automation workflows.
  • •Solid foundation in operating systems, computer architecture, and distributed systems.
  • •Experience with performance engineering, benchmarking, profiling, and optimization of complex software or systems.
  • •Ability to communicate technical findings, prioritize high-impact work, and build alignment across teams.
Education:Bachelor's
Skills:CommunicationPrioritizationCollaborationProblem diagnosis
Tech Stack:C++PythonCUDAPyTorchJAX/XLAGPU computingProfilingObservabilityDistributed systemsOperating systemsBenchmarks

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
WebsiteLinkedInGlassdoor