N

NVIDIA

Designs the chips and software that power AI

Senior Software Technical Program Manager - CUDA Robotics

Program ManagementPosted on Nov 9
Full-timeIn-person

About the Job

Requirements

  • A bachelor's degree in computer science, electrical engineering, computer engineering, or equivalent experience is required.
  • At least 8 years of proven experience in technical program management, software engineering, systems engineering, or a related technical role is required.
  • Hands-on experience with software development for hardware platforms, communication runtime, or high-performance networking, with demonstrated success delivering complex products to customers, is required.
  • Proficiency in Agile software development methodologies and tools is required.
  • The candidate must be able to work independently and actively with minimal guidance.
  • The candidate must have experience creatively resolving technical and resource issues and be able to think strategically and tactically and build consensus to ensure program success.
  • The candidate must understand software engineering principles, including widely adopted configuration management tools, productivity-enhancing tools, and automation processes.
  • The candidate must demonstrate attention to detail and the capacity to multitask in a dynamic environment with shifting priorities and changing requirements.
  • The candidate must be able to resolve technical, schedule, resource, and organizational issues through influence and structured decision-making.
  • Strong communication and technical presentation skills are required.

Responsibilities

  • Translate product and technology roadmaps into executable plans, establish achievements and ownership, lead multifunctional dependencies and risks, and drive programs from development through integration, validation, release, and ecosystem adoption.
  • Collaborate with software development managers, engineers, product marketing, customer program management, solution architects, quality assurance, and logistics personnel to establish and implement streamlined processes for developing advanced compute software solutions for cloud service providers, original equipment manufacturers, customers, and partners.
  • Lead Physical AI initiatives involving CUDA software, Aerial software, GPU platforms, AI frameworks, inference, simulation, sensor processing, and developer ecosystems.
  • Schedule and lead status meetings, proactively address challenges and customer concerns, and serve as the central point of contact for release schedules and the prioritized release plan of record.
  • Partner with multifunctional teams to plan and drive software objectives; collect requirements, help define priorities, remove blockers, and drive planning and scheduling across all phases of the software development lifecycle.
  • Develop and maintain integrated plans across engineering workstreams, identify critical-path dependencies and risks, formulate risk-management strategies, and drive teams toward commitments.
  • Enhance product-development and software-release processes in collaboration with engineering management to optimize development workflow and engineering efficiency.
  • Translate customer requirements internally into actionable tasks and keep customers informed about issue statuses.
  • Drive virtual reviews and communicate benchmarking results and customer insights to product and engineering leadership.
  • Collaborate with internal teams and third-party partners across time zones to resolve customer issues and oversee customer releases.
  • Track and report large-scale performance benchmarking across clusters, and build performance dashboards and reporting processes to monitor critical metrics and surface performance trends.

Desired Qualifications

  • Background with NVIDIA CUDA, Aerial, AI-RAN, 5G/6G, software-defined RAN, accelerated networking, or telecom platforms is preferred.
  • 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, is preferred.
  • Experience delivering SDKs, reference architectures, developer platforms, datasets, simulation environments, or digital twins is preferred.
  • Experience leading customer and partner programs involving platform bring-up, proof-of-concepts, benchmarking, and production releases is preferred.
  • An MBA, PMP certification, or PMP training is a plus.

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

Recently Posted Jobs

Explore more opportunities at NVIDIA

See more jobs