We are building the future of intelligent edge systems — and we need someone who can bring our developers and customers along for the ride! As a Developer Relations Manager for the Jetson Platform, you will be the go-to resource connecting customers and developers to the full depth of the Jetson SW stack: BSP, security, OTA, real-time workloads, mixed-criticality systems, AI libraries, and agentic AI.
You will work directly with developers and customers to help them build and ship powerful, optimized solutions for edge AI and robotics on Jetson. At the same time, you will bring their challenges and insights back to our engineering and product teams — shaping the platform roadmap from the ground up.
What you’ll be doing:
Build and own relationships across our Jetson ecosystem — ISVs, OEMs, ODMs, and robotics companies — and drive deep, sustained adoption of the Jetson SW stack.
Guide customers through the Jetson platform — BSP, security, OTA, real-time behavior, and mixed-criticality workloads — helping them move from integration to production confidently.
Champion NVIDIA AI libraries and frameworks on Jetson, helping developers extract peak performance for their edge AI and robotics applications.
Enable deployment of AI models and agentic pipelines on Jetson — on-device LLM inference, vision-language models — matching developers to the right capabilities and practices.
Feed developer insights directly into our product and engineering teams, shaping platform priorities, reference designs, and go-to-market strategy.
Stay sharp on the edge AI and robotics landscape to inform platform positioning and continuously improve the developer experience.
What We Need to See:
8+ years in embedded systems, platform engineering, developer relations, or technical evangelism in a hardware-software ecosystem, with a Bachelor's degree in CS, EE, or equivalent experience.
Solid understanding of embedded Linux platforms — BSP, kernel, device drivers, security, OTA, and real-time considerations — sufficient to guide customers through tough integration challenges.
Proven track record building developer and customer relationships and driving technical adoption at scale across a diverse partner portfolio.
Excellent communication skills — able to make complex platform internals accessible to developers and translate developer needs clearly back to engineering teams.
Ways to Stand Out From the Crowd:
Hands-on experience with NVIDIA Jetson platforms (Orin, Xavier) and the JetPack SDK.
Experience productizing or deploying agentic AI, on-device LLM inference, or VLMs for edge or robotics applications.
We are a team of engineers and technologists obsessed with making Jetson the world's best platform for edge AI and robotics. We sit at the intersection of research and real-world deployment, partnering with companies building autonomous machines, industrial systems, healthcare devices, and smart infrastructure. If that excites you, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Skills Required
- 8+ years of experience in embedded systems, platform engineering, developer relations, or technical evangelism within a hardware-software ecosystem
- Bachelor's degree in Computer Science, Electrical Engineering, or equivalent experience
- Understanding of embedded Linux platforms, including BSP, kernel, device drivers, security, OTA, and real-time considerations
- Proven experience building developer and customer relationships and driving technical adoption across a diverse partner portfolio
- Excellent communication skills, including explaining complex platform internals and translating developer needs to engineering teams
- Hands-on experience with NVIDIA Jetson platforms, including Orin or Xavier, and the JetPack SDK
- Experience productizing or deploying agentic AI, on-device LLM inference, or vision-language models for edge or robotics applications
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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.”
