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NVIDIA

Designs the chips and software that power AI

Senior Developer Relations Manager - Omniverse

Developer Relations & AdvocacyConfirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • A minimum of 8 years of overall professional experience in the technology industry, including at least 5 years of direct, hands-on technical experience in software development or engineering.
  • A Bachelor of Science in Computer Science, Engineering, or a related technical field, or equivalent experience.
  • Hands-on involvement throughout the full software development lifecycle, including requirements definition, development, implementation, testing, integration, quality assurance, and post-release support.
  • Experience as a software engineer or technical product manager in one or more of these domains: real-time 3D visualization and simulation; enterprise-scale independent software vendor software development; full-stack application development; artificial intelligence or machine-learning workflows, including extract, transform, and load processes, data pipeline development, synthetic data generation, and data preparation; or graphics and graphics processing unit-accelerated programming.
  • Significant technical depth in industrial software, robotics, or automation technologies, such as computer-aided engineering, computer-aided design, product lifecycle management, enterprise resource planning, manufacturing execution systems, supervisory control and data acquisition, or electronic design automation, with hands-on contributions to product integrations or software libraries.
  • Experience leading technical collaborations with engineering and product teams, including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops.
  • Ability to communicate technical concepts, architecture, and code to audiences ranging from engineers to executives.
  • Ability to structure and complete sophisticated technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external customers across sales, legal, product, or marketing teams as needed.

Responsibilities

  • Serve as a technical advisor and problem solver with partner engineering teams, collaborating on architecture, code, and integration for Omniverse and artificial intelligence-enabled solutions.
  • Develop and maintain deep technical expertise in NVIDIA Omniverse and related technologies, including application programming interfaces, Universal Scene Description, NVIDIA Inference Microservices, and Blueprints, through prototyping, technical integration, and creation of reference architectures.
  • Co-design and implement sophisticated technical solutions with partners by defining objectives, architecture, achievements, and delivery plans; supply sample code, architecture diagrams, and direct engineering support to overcome technical challenges.
  • Develop and deliver technical enablement resources, including code samples, reference architectures, integration guides, and workshops, to accelerate partner engineering teams’ adoption and effective use of Omniverse.
  • Engage with partner software organizations, from engineering teams to technical leaders and decision-makers, to understand goals, identify and resolve technical blockers, advocate for guidelines, and drive alignment with NVIDIA technical solutions.
  • Represent and advocate for partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.
  • Support product launches and technical go-to-market activities by providing technical validation, demonstrating integrated solutions, and ensuring quality in customer- and partner-facing materials.

Desired Qualifications

  • Experience with NVIDIA libraries and models, including CUDA-X, Omniverse, OpenUSD, RTX, Isaac, PhysicsNeMo, and Cosmos.
  • Experience developing or integrating technology libraries into industrial, robotics, or automation software.
  • Experience with AIOps, cloud-native and container orchestration technologies such as Kubernetes, Docker, and Kubeflow; agentic architectures such as NCP and LangGraph; and observability tools for monitoring sophisticated autonomous systems.
  • Track record of influencing sophisticated product decisions through positive relationships while balancing software partner needs.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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