Senior Product Manager, Media2

Reposted 3 Days Ago
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Santa Clara, CA
In-Office
168K-328K
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a Senior Product Manager at NVIDIA, drive AI software innovation for media, translating customer workflows into product strategies and managing technical specifications. Collaborate with engineering, craft go-to-market strategies, and ensure ecosystem compatibility while championing continuous improvement.
Summary Generated by Built In

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. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

The Media2 team, leading NVIDIA’s AI media initiative, is driving this transformation—fusing broadcast-grade reliability with GPU-accelerated AI on a software defined platform to deliver ultra-low-latency video, audio, and data processing on a containerized environment. Join us as a Senior Product Manager and help define the future of GPU-accelerated AI! Drive the vision, roadmap, and adoption of innovative AI software for media use cases. Partner with world-class engineers, customers, and industry leaders to shape breakthrough products that transform industries!

What you’ll be doing:

  • Contribute to the AI platform vision & roadmap for Media2; define strategy, success metrics, and multi-release plans that align with NVIDIA’s AI and accelerated computing strategy.

  • Translate customer workflows into product: capture deep requirements from industry partners, studios, and enterprise media teams; write concise PRDs with actionable MVP steps.

  • Partner closely with engineering on defining specifications for AI model requirements.

  • Go-to-market & adoption: craft positioning, licensing/pricing, early-access programs, and launch plans; enable field, GSI/ISV partners, and key lighthouse customers; drive platform activation and usage growth.

  • Ecosystem leadership: collaborate with standards bodies, partners, and integrators ensure compatibility with enterprise hardware (NICs / DPUs / GPUs), storage, and security/compliance requirements.

  • Continuous improvement: champion the voice of developer, partner, GSI to define requirements for latency, efficiency, reliability, time-to-first-frame, cost per channel, analyze telemetry/usage, and iterate quickly to improve developer experience and operational adaptability.

What we need to see:

  • Bachelor’s, Master’s, or Doctorate degree, or equivalent experience

  • 12+ years of product management with a proven track record of shipping successful software.

  • Highly technical: knowledge of Linux, containerized workflows (OpenShift / Kubernetes), distributed systems, GPU-accelerated and real-time software.

  • AI/ML understanding: familiarity with LLMs, VLMs, and real-time inference concepts; ability to reason about model performance, latency/efficiency trade-offs, and containerized deployment of AI services.

  • Communication & leadership: clear writer/presenter who can influence across organizations and key partners, both internal and external.

Ways to stand out from the crowd:

We have multiple product areas. Applicants are not expected to have experience in all of these areas:

  • NVIDIA stack experience: experience with NVIDIA’s development environments e.g. CUDA, NIMs, NVAIE, NeMo and Blueprints.

  • AI-for-media product wins: shipped features using vision / speech / NLP with measurable improvements in accuracy and cost. Experience applying AI to virtual production and broadcast use cases

  • Broadcast & Media Proficiency: solid understanding of ST 2110, PTP (ST 2059), NMOS (IS-04/05), AES67, production control, and live/near-live workflows (ingest, routing, processing, playout).

  • Hands-on experience with ST 2110 workflows: Open Shift / Kubernetes, GPU-accelerated, real-time pipelines; drive specs for ST 2110, PTP, and NMOS integration. A practical grasp of audio/video standards, color spaces and transfer functions (BT.709/BT.2020, PQ/HLG), chroma subsampling (4:2:2/4:4:4), bit depth (10/12-bit), HDR metadata, and media data formats/containers (e.g., RTP/SRTP, MXF/IMF; codecs such as ProRes, HEVC, AV1, JPEG-XS).

  • Developer-first platform mentality: strong instincts around NIM / SDKs / APIs, sample apps, and reference workflows that delight integrators and broadcast engineers.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD for Level 5, and 240,000 USD - 379,500 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 23, 2025.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.

Top Skills

AI
Cuda
Distributed Systems
Gpu
Kubernetes
Linux
Ml
Openshift
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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