Senior Product Manager

Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. The Media2 team, leading NVIDIA’s AI media initiative, fuses broadcast-grade reliability with GPU-accelerated AI on a software-defined, containerized platform to deliver ultra-low-latency video, audio, and data processing. Join as a Senior Product Manager to drive vision, roadmap, and adoption of AI software for media use cases and partner with engineers, customers, and industry leaders to shape breakthrough products.

Responsibilities

• Contribute to the AI platform vision & roadmap for Media2; define strategy, success metrics, and multi-release plans aligning 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 lighthouse customers; drive platform activation and usage growth.
• Ecosystem leadership: collaborate with standards bodies, partners, and integrators to ensure compatibility with enterprise hardware (NICs / DPUs / GPUs), storage, and security/compliance requirements.
• Continuous improvement: champion the voice of developer, partner, and GSI to define requirements for latency, efficiency, reliability, time-to-first-frame, cost per channel; analyze telemetry/usage and iterate to improve developer experience and operational adaptability.

Requirements

• Bachelor's, Master's, or Doctorate degree, or equivalent experience.
• 8+ 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.
• Strong communication & leadership: clear writer/presenter who can influence across organizations and with external partners.

Ways to stand out

Applicants are not expected to have experience in all these areas, but they differentiate candidates:

• NVIDIA stack experience: CUDA, NIMs, NVAIE, NeMo, 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: 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: OpenShift / Kubernetes, GPU-accelerated, real-time pipelines; drive specs for ST 2110, PTP, and NMOS integration.
• Practical grasp of audio/video standards and formats: 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, media data formats/containers (RTP / SRTP, MXF / IMF), and codecs (ProRes, HEVC, AV1, JPEG-XS).
• Developer-first platform mentality: NIM / SDKs / APIs, sample apps, and reference workflows.

Compensation & Benefits

• Base salary ranges by level:
  • Level 4: 168000 USD - 258750 USD
  • Level 5: 208000 USD - 327750 USD
• You will also be eligible for equity and benefits.

Additional Information

• Location: Santa Clara, CA, United States.
• Employment type: Full time.
• Applications will be accepted at least until September 21, 2025.
• NVIDIA is an equal opportunity employer and is committed to a diverse work environment.