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NVIDIA

Designs the chips and software that power AI

Senior Developer Relations Manager

Developer Relations & AdvocacyConfirmed live in the last 24 hours
Full-timeTokyo, JapanNo salary listedIn-person

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or a Master's degree combined with equivalent practical experience.
  • At least 5 years of professional experience in the technology field, including software engineering, developer relations, or technical partnerships, and more than 3 years of direct hands-on experience within the relevant ecosystem.
  • Established background managing, working alongside, and growing developer programs at prominent technology organizations, video analytics or VLM ISVs, or pertinent sectors.
  • Strong technical expertise in video analytics within high-performance computing, cloud, artificial intelligence and machine learning, and/or industry-specific frameworks and libraries.
  • Experience leading technical collaborations with engineering and product teams, including architectural development, code reviews, technical mentorship, and delivery of technical talks or workshops.
  • Ability to structure and complete complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external partners across sales, legal, product, or marketing teams as needed.
  • Good English communication skills in email and video conference.
  • Proficient Japanese communication skills.

Responsibilities

  • Serve as the trusted technical advisor, problem solver, and champion for the developer ecosystem in video analytics across manufacturing, construction, smart spaces, retail, media, and entertainment, working with cross-functional partners to drive adoption of NVIDIA technologies, especially the VSS (Video Search and Summarization) blueprint.
  • Accelerate critical workloads by demonstrating innovative solutions that integrate the core NVIDIA stack into developer products, platforms, and pipelines.
  • Advise on technical enablement resources, such as sample code, guides, demonstration pipelines, and tools, highlighting how technologies solve real-world problems.
  • Guide partners and startups through onboarding and integration with NVIDIA programs, encouraging co-innovation and development of next-generation solutions.
  • Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and build adoption strategies.
  • Collaborate with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies.
  • Engage with partner engineering teams, technical leaders, and decision-makers to identify goals, solve technical challenges, and promote guidelines for successful integrations.
  • Represent partner technical needs and feedback to NVIDIA's internal product and engineering teams, providing actionable insights from field deployments to influence product roadmaps.
  • Represent and advocate for partners through conference presentations, user group engagements, solution showcases, technical blog writing, social media posts, and support for strategic go-to-market and partner initiatives.

Desired Qualifications

  • Practical experience developing or improving vertical-specific solutions in video analytics.
  • Familiarity with advanced computing, artificial intelligence, and/or GPU acceleration platforms such as CUDA and VSS.
  • Track record crafting and implementing systems for real-time processing and low-latency decision-making.
  • Demonstrated experience growing developer communities and offering significant technical enablement initiatives.

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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