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Deloitte

Channel Sales Manager, NVIDIA Focus

Sacramento, CA · On-site

$162K/yr

The NVIDIA Channel Sales Manager will bring strong alliance relationship management, project management discipline, attention to detail, outstanding oral and written communication skills, and the ...

Deloitte

Channel Sales Manager, NVIDIA Focus

San Jose, CA

$178K/yr

The NVIDIA Channel Sales Manager will bring strong alliance relationship management, project management discipline, attention to detail, outstanding oral and written communication skills, and the ...

Bon Appetit

Executive Chef - Nvidia

Santa Clara, CA · On-site

$95K - $115K/yr

Executive Chef - Nvidia Salary: $95,000 - $115,000 / year Our Passion is Food! At Bon Appetit Management Company we are committed to two things, great food and outstanding service! At Bon Appetit you ...

SHI

Business Development Manager - NVIDIA

Austin, TX

Job Summary The Business Development Manager - NVIDIA at SHI International oversees strategic planning, program governance, and operational execution for highvalue departmental initiatives tied to ...

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How much do nvidia jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for nvidia in the United States is $53.14, according to ZipRecruiter salary data. Most workers in this role earn between $42.31 and $66.59 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Nvidia Software Engineer, and why are they important?

To thrive as an Nvidia Software Engineer, you need strong programming skills (e.g., C++, Python), a solid foundation in computer science, and typically a degree in a related field. Familiarity with GPU programming, CUDA, parallel computing frameworks, and version control systems like Git is highly valued. Strong problem-solving abilities, teamwork, and effective communication are crucial soft skills in this role. These competencies enable engineers to innovate and deliver high-performance solutions that drive Nvidia's cutting-edge technology.

What can a new employee at Nvidia expect in terms of collaboration and teamwork across different departments?

At Nvidia, collaboration is a central part of the company culture. New employees often work on cross-functional teams that bring together engineers, designers, product managers, and marketing professionals to drive innovation. You can expect regular meetings, brainstorming sessions, and opportunities to learn from experts in various fields. This collaborative environment helps employees quickly build networks within the company and gain exposure to different aspects of Nvidia's business, fostering both professional growth and technical development.

What does Nvidia do as a company?

Nvidia is a technology company known primarily for designing graphics processing units (GPUs) used in gaming, professional visualization, data centers, and automotive markets. Their products power everything from high-end video games to artificial intelligence, machine learning, and self-driving cars. Nvidia also develops system-on-a-chip units for the mobile computing and automotive market, and has expanded into software platforms for AI and deep learning applications.
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Senior Software Engineer, Agentic AI - Nvidia Blueprints and NIM Integrations

Senior Software Engineer, Agentic AI - Nvidia Blueprints and NIM Integrations

Nvidia

Redmond, WA • On-site

$137K - $180K/yr

Full-time

Posted 29 days ago

Job description

We are looking for a skilled Agentic AI Software Engineer to join our team. The ideal candidate is passionate about building autonomous, multi-agent systems and will be responsible for designing, developing, and maintaining integrations of NVIDIA NIM microservices and Blueprints into leading agentic AI frameworks and open-source libraries. You will work across the agentic AI ecosystem to enable Day-0 NVIDIA model and inference support in agent orchestration platforms and tooling.

What you'll be doing:

  • Design and implement NVIDIA NIM connectors and Blueprint integrations into upstream agentic AI frameworks (e.g., LangGraph, LlamaIndex, AutoGen, CrewAI, Claude Agent SDK, OpenAI Agents SDK)

  • Build and maintain agentic workflows - including tool use, memory, planning, and multi-agent coordination patterns - powered by NVIDIA inference services

  • Develop test harnesses and evaluation pipelines to validate agent behavior, tool-call correctness, and end-to-end workflow quality

  • Evangelize NVIDIA agentic AI capabilities through demos, documentation, and upstream community contributions

  • Partner with NVIDIA NIM and release teams to ensure Day-0 agentic support for new models and inference APIs

  • Continuously discover emerging agentic frameworks and drive integrations that expand the NVIDIA agentic ecosystem

  • Mentor junior engineers and review contributions from internal and external contributors

What we need to see:

  • Bachelor's or Master's degree in Computer Science or a related field, or equivalent experience

  • 8+ years of experience in software design, development, and testing

  • Hands-on experience building with LLM-based agent frameworks and patterns (tool use, RAG, multi-agent orchestration, structured outputs)

  • Familiarity with inference APIs and serving frameworks (OpenAI-compatible APIs, NIM, vLLM, TensorRT-LLM)

  • Experience in open-source development - contributing to and maintaining upstream projects

  • Strong understanding of AI application developer workflows and the modern agentic AI stack

  • Strong verbal and written communication skills

  • Action-driven with strong analytical and debugging skills

  • Ability to adapt quickly in a fast-moving, research-driven environment

  • Enthusiasm for working across multiple diverse projects and communities

Ways to stand out from the crowd:

  • Demonstrated contributions to agentic AI frameworks or LLM orchestration libraries

  • Experience designing and evaluating multi-agent systems, including reliability, latency, and correctness at scale

  • Deep familiarity with the open-source inference and agentic ecosystem (LangChain, LlamaIndex, AutoGen, Haystack, etc.)

  • Published work, blog posts, or conference talks on agentic AI or LLM systems

With a competitive salary package and benefits, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous Systems Software Engineer, who loves challenges? Do you have a genuine passion for advancing the state of 3D computer vision across a variety of industries? If so, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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