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

Python

C++

Rust

LangChain

CrewAI

LLMs

GPU computing

API orchestration

async runtimes

systems programming

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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