Senior Math Libraries Engineer - LLM Integration and Developer Experience

NVIDIA
Santa Clara, Texas, New York, Washington, California, Massachusetts
Workplace: HybridFull timeUSD 152,000 - 287,500 annuallyFunction: Software EngineeringExperience: 3+ yearsEducation: mastersSkills: ["Communication","Collaboration","Documentation","Independence","Prioritization"]

Design and implement LLM-first math libraries APIs across CUDA-X, enabling human engineers and AI agents to build high-performance applications easily. Partner with stakeholders to deliver LLM-enhanced library releases, create metrics/tools to evaluate code-generation quality, and prototype tooling that converts math library APIs into AI-friendly representations for popular codegen workflows. Work on GPU-accelerated SDKs essential for AI, simulation, and analytics.

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FursaFursa
NVIDIA
NVIDIA
2 hours ago

Senior Math Libraries Engineer - LLM Integration and Developer Experience

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Design and implement LLM-first math libraries APIs across CUDA-X, enabling human engineers and AI agents to build high-performance applications easily. Partner with stakeholders to deliver LLM-enhanced library releases, create metrics/tools to evaluate code-generation quality, and prototype tooling that converts math library APIs into AI-friendly representations for popular codegen workflows. Work on GPU-accelerated SDKs essential for AI, simulation, and analytics.
Location: Santa Clara, Texas, New York, Washington, California, Massachusetts
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •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.

Pay and Benefits

Salary: USD 152,000 - 287,500 annually
Equity and Bonus:Equity

Key Requirements

  • •3+ years of experience.
  • •PhD or MSc in Computational Science, Computer Science, Applied Math, or a related field (or equivalent experience).
  • •Robust knowledge of LLMs, finetuning, RL, RAGs, MCP, and building agentic tooling.
  • •Proven experience designing clear, composable APIs and writing well-documented code for complex technical domains.
  • •Ability to prioritize multiple projects and work independently with minimal direction.
Experience:3+ yearsAILLMAgentic AICode generationDeveloper toolsGPU computing
Education:Master's in Computational Science, Computer Science, Applied Math, or related science or engineering field
Skills:CommunicationCollaborationDocumentationIndependencePrioritization
Tech Stack:CUDA-XLLMsFinetuningReinforcement learningRAGMCPAgentic toolingCuBLASCuFFTCuSOLVERCuSPARSEAPIsCode generationSDKs

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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