Senior Software Engineer, Deep Learning Libraries at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

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 skills, excellent problem-solving skills, and the ability to learn and work effectively in a fast-paced, collaborative environment

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

Skills

Key technologies and capabilities for this role

PythonC++GoRustLangChainCrewAILLMsGPU computingAPI orchestrationasync runtimessystems programming

Questions & Answers

Common questions about this position

What is the salary range for this Senior Software Engineer position?

The base salary range is 148,000 USD - 235,750 USD, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this role remote or hybrid, and what are the location requirements?

This is a hybrid role, as indicated by the #LI-Hybrid tag.

What skills and experience are required for this position?

Required qualifications include a BS/MS in Computer Science or AI, 5+ years of software engineering experience, strong programming in Python and C++ (or Go/Rust) with async runtimes and API orchestration, experience with LLMs or foundation models in interactive/autonomous systems, familiarity with AI agent frameworks like LangChain or CrewAI, and strong systems thinking for safety and robustness.

What is the company culture like at NVIDIA for this team?

NVIDIA has forward-thinking and hard-working people, seeking creative, imaginative, and autonomous individuals who love challenges to join a technically diverse team in a fast-paced, collaborative environment.

What makes a candidate stand out for this Senior Software Engineer role?

Candidates stand out with demonstrated work on agent-based systems or autonomous workflows, experience integrating AI with GPU computing like CUDA or PyTorch, knowledge of planning algorithms or program synthesis using LLMs, and contributions to open-source AI agent frameworks.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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