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60 Nvidia Software Manager Jobs Hiring Near You

NVIDIA is seeking an experienced SW project management leader to help define, build and execute a ... The role involves leading Tegra chip software planning and execution, coordinating cross-team ...

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What is it like to work at Nvidia?

Nvidia is known for its collaborative and innovative culture, prioritizing teamwork and creativity to drive technological advancements. The company's structure is organized into various teams, including research and development, engineering, and sales, with a focus on fostering open communication and knowledge sharing across departments. Working at Nvidia may appeal to candidates who are passionate about artificial intelligence, graphics, and high-performance computing, as the company offers opportunities to contribute to cutting-edge projects and collaborate with experts in the field.
What other companies are hiring for Software Manager jobs?
Infographic showing various Software Manager job openings at Nvidia in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 85% Physical, 13% Hybrid, and 2% Remote job distribution.
Developer Relations Manager, AI Platform and Tools - MLOps

Developer Relations Manager, AI Platform and Tools - MLOps

NVIDIA

Santa Clara, CA • On-site

Full-time

Posted 25 days ago


Job description

Job Summary:
NVIDIA is a leading technology company specializing in AI and accelerated computing. They are seeking a Developer Relations Manager to lead strategic engagement within the AI platform and tools ecosystem, focusing on MLOps and partnering with companies to expand the use of NVIDIA's technologies.
Responsibilities:
• Develop and maintain deep technical expertise in MLOps, serve as the trusted technical advisor for ISVs and startups building in that space.
• Understand partner workloads and accelerate adoption by integrating the NVIDIA software stack including libraries, SDKs, NIMs, and blueprints, into partner products and data pipelines, delivering measurable performance and scalability improvements.
• Drive partner onboarding and co-innovation through technical enablement assets such as reference architectures, sample code, benchmark, and workshop content that accelerate deployment of production-ready solutions.
• Engage with partner technical leaders to guide best-practice integrations, solve complex architectural challenges, and establish structured collaboration cadences that surface emerging workflows and inform NVIDIA product and platform strategy.
• Build and expand a strategic ecosystem of AI platform and tools partners, track ecosystem and technology trends, and identify opportunities to scale NVIDIA adoption and ecosystem growth.
• Collaborate cross-functionally with solution architects, engineering, product management, and account teams to strengthen partner engagement and optimize adoption strategies.
• Advocate for ecosystem technical requirements by channeling actionable feedback from field deployments into NVIDIA product and engineering roadmaps.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 5+ years of experience in the technology industry across software engineering, developer relations, technical partnerships, solutions architecture, or product management, including 3+ years of hands-on experience in AI.
• Deep domain knowledge across enterprise MLOps lifecycle, including inference serving platform, scalable deployment, eval, governance and observability pipeline.
• Proven ability to lead complex, multi-stakeholder technical engagements, align cross-functional priorities, and drive execution across internal teams and external partners.
• Excellent communication and stakeholder management skills, with the ability to explain complex technical concepts to both engineering and executive audiences.
Preferred:
• Experience architecting, integrating, and scaling joint solutions with strategic ISVs or ecosystem partners is preferred.
• Deep familiarity with NVIDIA’s accelerated AI stack, including TensorRT-LLM, NeMo, Dynamo, NIM, RAPIDS, run.ai, CUDA-X libraries, and related frameworks, with experience integrating them into production platforms.
• Experience partnering with early-stage or high-growth startups/ISVs in fast-paced, ambiguous environments.
• A strong builder mindset, with a track record of creating technical solutions, enablement assets, or ecosystem integrations from the ground up.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About Nvidia

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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