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NVIDIA

Deep Learning Performance Software Intern - 2027

NVIDIA 2 Locations Full-time 5 days ago
Embedded & Systems Software

Originally posted 30 September 2026 by the employer.

About the role

What you'll do

  • Create and maintain SKILL, Wiki, and agent harness.
  • Develop TileGym, Triton CUDA TileIR backend, and CUDA Tile.
  • Develop highly optimized deep learning kernels through tile-based GPU programming model.
  • Conduct end-to-end performance optimization through tile-based GPU programming model.
  • Perform performance optimization, analysis, and tuning.

What you'll need

  • Pursuing a degree in an engineering or computer science related field.
  • Understanding of agentic systems, including LLM APIs, prompting, tool use/function calling, agent loops, planning, reasoning, memory, RAG, skills, MCP, sub-agents, multi-agent architectures, context engineering, and harness engineering.
  • Excellent C/C++ programming and software design skills.
  • Performance modelling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU.

Nice to have

  • Python experience.
  • MLIR experience.
  • GPU programming experience (CUDA or OpenCL).

Skills: deep learning kernels, tile-based GPU programming, performance optimization, CUDA, MLIR

Market context

This role has been open 0 days — well below the 55-day median for Infrastructure/Platform Software roles.

Infrastructure/Platform Software · GPU Software Stack

Open roles in category
220
Median days open
55 d
Median salary
$236k
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
How NVIDIA compares in Infrastructure/Platform Software hiring
Metric NVIDIA All employers we track in this specialty (220 roles · 19 employers)
Open roles in this specialty 123 220
Open roles in the wider Software, Firmware & Systems family 961 5961 · 145 employers
Median days open 49 d 55 d (−6 d vs this employer)
Median salary (USD postings) — $236k

Skills observed across this category: deep learning kernels, tile-based GPU programming, performance optimization, CUDA, MLIR

Who's hiring in this category

  • NVIDIA (this employer) · 120 open roles · median 51 d
  • AMD · 51 open roles · median 51 d
  • Qualcomm · 19 open roles · median 160 d
  • Intel Corporation · 6 open roles · median 77 d
  • Arm Holdings · 5 open roles · median 98 d
  • d-Matrix · 2 open roles · median 106 d

How we counted: 220 open Infrastructure/Platform Software (GPU Software Stack) roles from 19 employers tracked in the SemiconductorJobs index, counted 1 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.

Apply now
2 Locations
On-site
Full-time
5 days ago

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