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NVIDIA

Designs the chips and software that power AI

Developer Relations Manager - Cae

Developer Relations & AdvocacyConfirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • A bachelor's or master's degree or equivalent experience in Computer Science, Engineering, or a related field.
  • Five to eight or more years of overall professional experience in software engineering, developer relations, technical partnerships, solutions architecture, or product management, including hands-on experience crafting or deploying software tools for computer-aided engineering.
  • Experience working with or supporting developer programs, technical ecosystems, computer-aided engineering independent software vendors, or relevant verticals.
  • Proficiency in developing computer-aided engineering workflows and software tools for physical simulation, and familiarity with modern software frameworks or software development kits.
  • Ability to collaborate with cross-functional teams to discuss architecture, share feedback, and deliver technical presentations or demonstrations.
  • Ability to manage and implement technical projects, solve integration challenges, and communicate complex ideas to technical and non-technical audiences.
  • Experience creating or optimizing vertical-specific technical solutions, such as simulation tools, virtual twins, or solutions for computer-aided engineering, high-performance computing, applied machine learning, or deep learning.
  • Hands-on familiarity with NVIDIA platforms and frameworks, including CUDA-X Libraries, PhysicsNeMo, Omniverse, and NeMo.
  • Demonstrated involvement in growing developer communities and supporting technical enablement programs.
  • Skill in developing systems and tools to measure developer sentiment and track market trends, and turning ecosystem insights into recommendations that guide product direction and strategic planning.
  • Experience with AI physics models and model architecture, including developing, defining, training, and deploying open or proprietary models.

Responsibilities

  • Build and deepen technical expertise in computer-aided engineering, serving as a technical advocate and trusted resource for developers in industrial engineering, and work with cross-functional partners to drive adoption of NVIDIA technologies.
  • Demonstrate and integrate NVIDIA’s software stack, including tools, software development kits, libraries, NIMs, and blueprints, into real-world partner or developer projects to accelerate adoption.
  • Support developers and partners through onboarding and integration by providing code samples, guides, demo pipelines, and hands-on assistance for computer-aided-engineering-specific use cases.
  • Research and monitor developer ecosystem trends to identify growth opportunities, sharing insights with engineering, product, and marketing teams to improve adoption strategies.
  • Collaborate with partner technical leaders and internal engineering stakeholders to troubleshoot challenges, guide best-practice integrations, and feed technical takeaways back to NVIDIA teams.

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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