Senior Software Engineer, Deep Learning Libraries

at Nvidia
📍 Santa Clara, United States
USD 148,000-235,800 per year
SENIOR
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Go @ 7 Python @ 7 Algorithms @ 4 Communication @ 7 Rust @ 7 API @ 4 PyTorch @ 4 CUDA @ 4 GPU @ 4

Details

NVIDIA’s Deep Learning Safety team is seeking a Senior Software Engineer to design and implement AI-driven agents that autonomously interact with APIs, tools, and environments to accomplish complex goals. This role bridges large language models (LLMs), systems programming, and intelligent automation, with integrations into GPU computing frameworks and runtime engines.

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, and performance analysis.
  • Design systems for safety, observability, and robustness in autonomous execution.

Requirements

  • 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 and problem-solving skills; ability to learn and work effectively in a fast-paced, collaborative environment.

Preferred / Ways to stand out

  • 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.

Compensation & Benefits

  • Base salary range: 148,000 USD - 235,750 USD (determined by location, experience, and peer pay).
  • Eligible for equity and NVIDIA benefits.

Location & Schedule

  • Location: Santa Clara, CA, United States.
  • #LI-Hybrid — hybrid work arrangement.
  • Full time.

Other details

  • Applications accepted at least until July 29, 2025.
  • NVIDIA is an equal opportunity employer committed to diversity and inclusion.