Senior Deep Learning Tools Engineer – CUDA Tile

NVIDIA
Santa Clara, Salt Lake City, Redmond, Seattle
Workplace: OnsiteFull timeUSD 152,000 - 241,500 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Problem-solving","Collaboration","Communication","Analytical thinking"]

Design, implement, and maintain performance testing frameworks and automated pipelines for deep learning compilers and CUDA workloads. Analyze latency, throughput, and efficiency across models and hardware; identify regressions and optimization opportunities; collaborate with compiler, architecture, and hardware teams to debug performance issues and deliver scalable, high-signal performance data through dashboards and tooling.

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FursaFursa
NVIDIA
NVIDIA
3 months ago

Senior Deep Learning Tools Engineer – CUDA Tile

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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, implement, and maintain performance testing frameworks and automated pipelines for deep learning compilers and CUDA workloads. Analyze latency, throughput, and efficiency across models and hardware; identify regressions and optimization opportunities; collaborate with compiler, architecture, and hardware teams to debug performance issues and deliver scalable, high-signal performance data through dashboards and tooling.
Location: Santa Clara, Salt Lake City, Redmond, Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design and develop performance testing frameworks for deep learning compilers and workloads
  • •Build and maintain automated pipelines (CI/CD) to track performance across models, hardware, and compiler changes
  • •Implement benchmarking systems to measure latency, throughput, and efficiency of AI and HPC workloads
  • •Analyze performance trends over time and identify regressions, bottlenecks, and optimization opportunities
  • •Partner with compiler and architecture teams to debug and resolve performance issues

Pay and Benefits

Salary: USD 152,000 - 241,500 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •5+ years of software engineering experience, including performance engineering, benchmarking, or systems optimization.
  • •Strong programming skills in Python (C++ is a plus).
  • •Experience with CI/CD systems and automation frameworks.
  • •Familiarity with hardware-aware performance analysis (GPUs, accelerators, or similar systems).
  • •Experience working with deep learning frameworks such as PyTorch, TensorFlow, JAX, or TensorRT
Experience:5+ yearsAIDeep learningGPUHPC
Education:
Skills:Problem-solvingCollaborationCommunicationAnalytical thinking
Languages:English
Tech Stack:PythonC++PyTorchTensorFlowJAXTensorRTLLVMMLIRCUDACI/CDGPU

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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