https://developer.nvidia.com/join-nvidia-developer-program | https://developer.nvidia.com/developer-champions-program
GTC content season (GTC ~Mar 16-19, 2026); also SIGGRAPH (Aug), CES (Jan). Apply to Developer Program anytime.
Role-based: search LinkedIn 'NVIDIA Developer Relations' / 'NVIDIA Developer Advocate'.
NVIDIA Developer Relations / Developer Programs (apply via Champions form); PR/Corp Comms for media.
GPU computing / AI hardware & software
Apply via program forms; engage on developer.nvidia.com forums.
Developer Program: none. Champions: public track record (speaking, publishing, mentoring, GitHub), 18+, English.
Access/product-based: early tech, expert access, merch, discounts, event invites, amplification. No published cash range.
NVIDIA Developer Program (open on-ramp) → Developer Champions (invite-only, content-driven); DLI University Ambassador for teaching
AI-for-hardware is a core content pillar; NVIDIA Developer Champions is invite-only and content-driven, and GTC is the industry's biggest AI-hardware content stage. Developer Program is an easy on-ramp.
✉️ Personalized Outreach Email
Subject: NVIDIA Developer Champions – DV engineer creating AI-for-hardware educational content
Hi NVIDIA team,
I'm Abinaya, a Design Verification Engineer with an M.S. in ECE and an active IEEE member (Technical Committee member and reviewer). I create educational content on semiconductor design verification, UVM/SystemVerilog and AI for hardware for an engaged audience of practicing and aspiring engineers on LinkedIn and YouTube.
Why I'm reaching out: AI-for-hardware is a core content pillar of mine, and NVIDIA Developer Champions is content-driven with direct relevance to my audience. I'd love to explore a collaboration through the NVIDIA Developer Program / Developer Champions — creating genuinely useful, technically rigorous content rather than a one-off promo.
A few ideas I had in mind:
- Educational series 'GPU-accelerated design verification' – regressions & ML-based bug triage on NVIDIA hardware.
- Tutorial: using NVIDIA NIM / LLMs to auto-generate SystemVerilog assertions.
- GTC talk proposal: 'AI copilots in the RTL verification flow – what works, what doesn't.'
I'm equally open to unpaid, product/access-based or ambassador arrangements — my priority is a long-term, trusted relationship. Could I send over a short proposal and content samples, or connect with the right person on your team?
Thank you for your time and for the work NVIDIA does for the engineering community.
Warm regards,
Abinaya
🔗 LinkedIn Connection Request
Hi — I'm Abinaya, a Design Verification Engineer (IEEE member) creating educational content on semiconductor verification, UVM/SystemVerilog and AI for hardware. I follow NVIDIA's work closely and would love to connect and explore ways to collaborate around your developer/creator community.
🔁 Follow-up (no response, ~5–7 days later)
Hi again — following up on my note about collaborating with NVIDIA on educational content for the verification/AI-hardware community. Totally understand inboxes get busy. If there's a better person or channel for creator/DevRel partnerships, I'd be grateful for a pointer. Happy to share my content samples and a short proposal whenever timing works. Thanks so much!
💡 Five Collaboration Ideas Tailored to My Expertise
- Educational series 'GPU-accelerated design verification' – regressions & ML-based bug triage on NVIDIA hardware.
- Tutorial: using NVIDIA NIM / LLMs to auto-generate SystemVerilog assertions.
- GTC talk proposal: 'AI copilots in the RTL verification flow – what works, what doesn't.'
- YouTube benchmark: accelerating EDA/ML verification workloads on RTX/data-center GPUs.
- LinkedIn thought-leadership on the hardware-verification bottleneck in the AI-chip boom.