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Senior Software Technical Program Manager, CUDA Robotics

  • CA, United States
  • NC, United States

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Job details

Experience
8+ years of proven experience in technical program management, software engineering, systems engineering, or a related technical role.
Posting language
English
Posted

Original job description

NVIDIA is seeking an experienced Senior Software Technical Program Manager to lead sophisticated software and platform programs spanning NVIDIA CUDA Robotics, accelerated computing and Physical AI! You will translate product and technology roadmaps into executable plans, establish achievements and ownership, lead multi-functional dependencies and risks, and drive programs from development through integration, validation, release, and ecosystem adoption. You will work across Product Management, Software and Hardware Engineering, Research, Quality Assurance, DevRel, Marketing, Legal, Customer Program Management, Solution Architects and external partners!

What You Will Be Doing:

  • Collaborating closely with Software Development Managers, Engineers, Product Marketing, Customer Program Management, Solution Architects, Quality Assurance, and other logistics personnel to establish and implement streamlined processes for the development of advanced Compute software solutions for CSPs, OEMs, customers and partners.
  • Taking the lead in Physical AI initiatives involving CUDA software, Aerial software, GPU platforms, AI frameworks, inference, simulation, sensor processing, and developer ecosystems.
  • Scheduling and leading status meetings, proactively addressing challenges, addressing customer concerns, and serving as the central point of contact for building and upholding release schedules and the prioritized release plan of record.
  • Partnering with multi-functional teams throughout the company to strategically plan and drive software objectives for the team. In this role, you will collect requirements, help define priorities, remove blockers, drive planning and scheduling for all phases of the software development lifecycle.
  • Developing and maintaining integrated plans across multiple engineering workstreams, identifying critical-path dependencies, proactively identifying risks and formulating risk management strategies and driving teams toward commitments.
  • Taking the lead in enhancing existing product development and software release processes, while collaborating with engineering management to optimize the development workflow for maximum engineering efficiency. You will have the opportunity to partner with diverse technical groups, spanning all organizational levels.
  • Internally translating customer requirements into actionable tasks, ensuring customers are continually abreast about issue statuses. Drive Virtual reviews and establish a close feedback loop by communicating benchmarking results and customer insights to product and engineering leadership.
  • Collaborating with various internal teams and third-party partners across different time zones, as necessary, to resolve customer issues and supervise customer releases. Track and report large-scale performance benchmarking across all clusters. Build performance dashboards and reporting processes to monitor critical metrics and surface performance trends.

What We Need to See:

  • Bachelor's degree in computer science, Electrical Engineering, Computer Engineering, or equivalent experience.
  • 8+ years of proven experience in technical program management, software engineering, systems engineering, or a related technical role.
  • Hands on experience with software development for hardware platforms or communication runtime or high performance networking with demonstrated success in delivering complex products to customers.
  • Proficiency in Agile software development methodologies and tools.
  • Ability to work independently and actively with minimal guidance.
  • Confirmed experience to creatively resolve technical and resource issues. Ability to think strategically and tactically and to build consensus to ensure program success
  • Comprehensive understanding of software engineering principles, including experience with widely-adopted configuration management tools and productivity-enhancing tools and automation processes.
  • Exceptional attention to detail and a demonstrated capacity for multitasking, in a dynamic environment with shifting priorities and changing requirements.
  • Proven ability to resolve technical, schedule, resource, and organizational issues through influence and structured decision-making.
  • Strong communication and technical presentation skills.

Ways to Stand Out from the Crowd:

  • Background with NVIDIA CUDA, Aerial, AI-RAN, 5G/6G, software-defined RAN, accelerated networking, or telecom platforms.
  • Experience with GPU-accelerated software, AI/ML frameworks, or NVIDIA GPU platforms, including familiarity with Physical AI, autonomous systems, simulation, perception, inference, or multimodal sensor pipelines.
  • Experience delivering SDKs, reference architectures, developer platforms, datasets, simulation environments, or digital twins.
  • Experience leading customer and partner programs involving platform bring-up, proof-of-concepts, benchmarking, and production releases.
  • MBA/PMP certification or training is a plus.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

More about this job

Skills

  • Robotics
  • Research
  • Quality assurance
  • Program management
  • Software development
  • Logistics
  • Scheduling
  • Risk management
  • Workflow
  • Customer insight
  • Leadership
  • Reporting
  • Computer science
  • Electrical engineering
  • Computer engineering
  • Hardware platforms
  • Communication skills
  • Agile
  • Work independently
  • Apply strategic thinking
  • Engineering principles
  • Attention to detail
  • Multitasking
  • Decision making
  • Presentation skills
  • ML
  • PMP

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