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NVIDIA

Senior Math Libraries Engineer - LLM Integration and Developer Experience

NVIDIA 4 Locations Full-time 17 days ago
Embedded & Systems Software

Originally posted 18 September 2026 by the employer — open 1 day.

This role involves integrating CUDA-X math library APIs into LLM and agentic AI workflows.

About the role

This role focuses on integrating CUDA-X math library APIs into modern LLM and agentic AI workflows. You will ensure high-performance applications can easily utilize CUDA-X libraries through effective API design for LLMs and AI agents.

What you'll do

  • Drive the architecture and implementation of math libraries APIs and documentation structures designed to be LLM-first.
  • Work with internal and external stakeholders to deliver timely LLM-enhanced library releases.
  • Build metrics, tools and processes to measure impact and quality of LLM/agentic code generation.
  • Prototype tooling and solutions to transform math libraries’ APIs into LLM-friendly representations across popular codegen tools.

What you'll need

  • 3+ years of experience.
  • Robust knowledge of LLMs, finetuning, RL, building RAGs, MCP, and building agenting tooling.
  • Proven experience designing clear, composable APIs.
  • Proven experience writing high-quality, well-documented code for complex technical domains.
  • Ability to prioritize multiple projects and work independently with minimal direction.

Nice to have

  • PhD or MSc degree in Computational Science, Computer Science, Applied Math, or related science or engineering field of study.
  • Prior work in AI-assisted software engineering.
  • Prior work in code generation.
  • Prior work in programming language design.
  • Familiarity with CUDA-X math library APIs: cuBLAS, cuFFT, cuSOLVER, cuSPARSE.

Skills: CUDA-X math library, LLM integration, AI workflows, API design, code generation

Market context

This role has been open 0 days — well below the 46-day median for Infrastructure/Platform Software roles.

Infrastructure/Platform Software · GPU Software Stack

Open roles in category
217
Median days open
46 d
Median salary
$221k
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 (217 roles · 19 employers)
Open roles in this specialty 107 217
Open roles in the wider Software, Firmware & Systems family 943 5796 · 143 employers
Median days open 43 d 46 d (−3 d vs this employer)
Median salary (USD postings) — $221k

Skills observed across this category: CUDA-X math library, LLM integration, AI workflows, API design, code generation

Who's hiring in this category

  • NVIDIA (this employer) · 106 open roles · median 47 d
  • AMD · 57 open roles · median 39 d
  • Qualcomm · 19 open roles · median 148 d
  • Intel Corporation · 9 open roles · median 37 d
  • Arm Holdings · 5 open roles · median 86 d
  • Bolt Graphics · 3 open roles · median 45 d

How we counted: 217 open Infrastructure/Platform Software (GPU Software Stack) roles from 19 employers tracked in the SemiconductorJobs index, counted 19 Sept 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
4 Locations
On-site
Full-time
17 days ago

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