Senior Math Libraries Engineer – LLM Integration, Developer Experience

NVIDIA

. Drive the architecture and implementation of math libraries APIs and documentation structures designed to be LLM-first: introspectable, explainable, and easily synthesized by AI agents .

Posted 9/15/2026full-timeRemote • California • United StatesSenior💰 $152,000 - $287,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing LLM-friendly APIs and documentation structures, with a strong focus on collaboration and communication in AI-assisted software engineering. Proficient in building metrics and tools to measure the impact of code generation in complex technical domains.

Highest-signal resume keywords

PhD Or MSc In Computational Science3+ Years ExperienceRobust Knowledge Of LLMsExperience Designing Composable APIsFamiliarity With CUDA-X Math Library APIs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

LLM FinetuningReinforcement LearningBuilding RAGsAgenting ToolingAPI DesignHigh-Quality Code WritingCode Documentation

Soft Skills

CollaborationCommunicationDocumentation HabitsProject PrioritizationIndependent Work

Tools & Technologies

CUDA-XCuBLASCuFFTCuSOLVERCuSPARSE

Industry Keywords

AI-Assisted Software EngineeringCode GenerationProgramming Language Design

About the role

Key responsibilities & impact

Drive the architecture and implementation of math libraries APIs and documentation structures designed to be LLM-first: introspectable, explainable, and easily synthesized by AI agents
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 help transform math libraries’ APIs into LLM-friendly representations across popular codegen tools

Requirements

What you’ll need

PhD or MSc’s degree in Computational Science, Computer Science, Applied Math, or related science or engineering field of study is preferred (or equivalent experience)
3+ years of experience
Robust knowledge of LLMs, finetuning, RL, building RAGs, MCP, and building agenting tooling
Proven experience designing clear, composable APIs and writing high-quality, well-documented code for complex technical domains
Ability to prioritize multiple projects and work independently with minimal direction
Excellent collaboration, communication, and documentation habits
Prior work in AI-assisted software engineering, code generation, or programming language design
Familiarity with CUDA-X math library APIs: cuBLAS, cuFFT, cuSOLVER, cuSPARSE, etc.

Benefits

Comp & perks

Equity
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