Senior Performance Engineer - DGX Cloud

NVIDIA
Bengaluru, Hyderabad
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 12+ yearsEducation: bachelorsSkills: ["Communication","Prioritization","Cross-team alignment"]

Advance the performance, efficiency, and resiliency of DGX Cloud by characterizing end-to-end AI workloads across GPUs, networking, storage, and software stacks. Build performance baselines, diagnose regressions, and quantify bottlenecks through rigorous profiling, observability, and data analysis. Define benchmarking and success metrics, then partner with deep learning engineers, platform teams, and GPU architects to deliver prioritized optimizations and communicate tradeoffs for system and software decisions.

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FursaFursa
NVIDIA
NVIDIA
1 week ago

Senior Performance Engineer - DGX Cloud

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Last checked: 8 hours agoStatus: Live

Job Summary

Advance the performance, efficiency, and resiliency of DGX Cloud by characterizing end-to-end AI workloads across GPUs, networking, storage, and software stacks. Build performance baselines, diagnose regressions, and quantify bottlenecks through rigorous profiling, observability, and data analysis. Define benchmarking and success metrics, then partner with deep learning engineers, platform teams, and GPU architects to deliver prioritized optimizations and communicate tradeoffs for system and software decisions.
Location: Bengaluru, Hyderabad
Workplace: Onsite
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 translate measurements into actionable optimization plans.
  • •Partner with deep learning engineers, platform teams, and GPU architects to validate and deliver performance improvements and recommendations.

Key Requirements

  • •BS or higher in computer science, computer engineering, or related field (or equivalent experience).
  • •12+ years of experience building reliable analysis and automation workflows using C++ and Python.
  • •Strong 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.
Experience:12+ yearsAIHigh-performance computingDistributed systemsGPU computing
Education:Bachelor's in Computer science, computer engineering, or related field
Skills:CommunicationPrioritizationCross-team alignment
Tech Stack:C++PythonCUDAPyTorchJAXXLADeep learning frameworks

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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