Senior Software Engineer, Deep Learning Libraries jobs in United States
cer-icon
Apply on Employer Site
company-logo

NVIDIA ยท 5 months ago

Senior Software Engineer, Deep Learning Libraries

NVIDIA is leading the future of AI and accelerated systems, and they are seeking a Senior Software Engineer to build intelligent, autonomous software for the next generation of accelerated computing. The role involves designing and implementing AI-driven agents that interact with APIs, tools, and environments to accomplish complex goals, bridging large language models with systems programming and intelligent automation.

Computer Hardware Manufacturing
check
H1B Sponsor Likelynote

Responsibilities

Design and develop intelligent software agents capable of planning, reasoning, and acting across tools, APIs, and compute environments
Integrate agentic AI systems with NVIDIA platforms, including GPU computing frameworks and runtime engines
Work with LLMs and agentic frameworks to build robust, reactive, and proactive agents
Build end-to-end systems that use agents for tasks such as kernel optimization, code generation, performance analysis

Qualification

PythonC++AI agent frameworksLLMs experienceGPU computing workflowsCommunication skillsProblem-solving skillsCollaborative environment

Required

BS/MS in Computer Science, AI, or equivalent experience
5+ years of software engineering experience
Strong programming experience in Python and C++ (or Go/Rust), including experience with async runtimes and API orchestration
Experience building applications or systems that incorporate LLMs or foundation models in an interactive or autonomous fashion
Familiarity with tools and frameworks for building AI agents (e.g., LangChain, CrewAI)
Proven systems thinking and ability to design for safety, observability, and robustness in autonomous execution
Strong communication skills, excellent problem-solving skills, and the ability to learn and work effectively in a fast-paced, collaborative environment

Preferred

Demonstrated work on agent-based systems, autonomous workflows, or intelligent software automation
Experience integrating AI with GPU computing workflows (e.g., CUDA, PyTorch, Triton, or compiler toolchains)
Knowledge of planning algorithms or program synthesis using LLMs
Contributions to open-source AI agent frameworks or agentic copilots

Benefits

Equity
Benefits

Company

NVIDIA

twitter
company-logo
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing.

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)

Funding

Current Stage
Late Stage
Company data provided by crunchbase