Full-Time

Senior Developer Relations Manager

ISV

Posted on 5/9/2026

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI HPC platforms

No salary listed

Reading, UK

Remote

Category
Developer Relations
Required Skills
Machine Learning
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • A minimum of 8-10+ years of overall professional experience in the in software engineering, developer relations, technical partnerships, or customer-facing technical roles including 5+ years of direct hands-on experience working with software & technology companies in EMEA
  • Proven experience leading, partnering, and scaling developer programs at major healthcare companies, or within relevant verticals.
  • Significant technical proficiency in high-performance computing, cloud, AI/ML, and/or vertical-specific frameworks and libraries.
  • Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences from engineers to executives.
  • Experience leading technical collaborations with engineering and product teams - including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops
  • Skilled in coordinating complex technical projects, addressing needs, prioritizing concerns, and collaborating with various teams.
  • Commercial proficiency/experience: strong commercial acumen and the ability to assess and qualify business opportunities (for both parties)
Responsibilities
  • Support developers in your ISV segment as a technical consultant, resolving issues and promoting NVIDIA technology adoption.
  • Accelerate critical workloads by demonstrating ground breaking solutions that integrate the core NVIDIA stack into developer products, platforms, and pipelines.
  • Advise on the technical enablement resources—such as sample code, guides, demonstration pipelines, and tools to highlight the application of technologies in solving real-world problems
  • Guide partners and ISV startups through onboarding and integration with NVIDIA’s programs, fostering co-innovation and the development of next-generation solutions.
  • Map, track, and supervise the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.
  • Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies.
  • Collaborate with partner engineering teams, technical leaders, and decision-makers to identify objectives, address technical hurdles, and promote guidelines for successful integrations.
  • Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.
Desired Qualifications
  • Hands-on experience building or optimizing vertical-specific solutions (e.g.,network stacks, bidding algorithms, data pipelines, etc).
  • Familiarity with advanced computing, AI, and/or GPU acceleration platforms such as CUDA, Triton, NeMo
  • Track record in crafting and implementing systems for real-time processing and low-latency decision-making.
  • Experience working in customer-facing technical roles focused on technical evaluation and product integration
  • Background in developing product partnerships and executing GTM strategies with external organizations/partners as well as experience working with developers building AI-embedded products within Healthcare & Life Sciences.

NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • Toyota adopts NVIDIA DRIVE AGX Orin, boosting automotive revenue 103% in Q4 FY2025.
  • SoftBank plans NVIDIA AI servers in Japan by 2030; IREN deploys 5GW infrastructure.
  • NVIDIA reaches $5.5T market cap with $216B FY revenue and $400B projected FCF.

What critics are saying

  • Broadcom supplies custom chips to Google through 2031, Anthropic from 2027, OpenAI.
  • China revenue hits zero from $17B due to US restrictions, $4.5B Q1 2026 charge.
  • B200 GPU rentals drop 30% as sentiment flips bearish, cooling FY2027 $78B guidance.

What makes NVIDIA unique

  • NVIDIA invented the GPU in 1999, pioneering accelerated computing.
  • CUDA platform from 2006 enables GPUs for AI and parallel computing.
  • Full-stack AI infrastructure powers 80% of AI training GPUs in 2025.

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Headcount

6 month growth

-1%

1 year growth

-3%

2 year growth

-2%
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