Summary written by USA Jobs 24 from NVIDIA's advert and our data on 17,035 current US jobs. How we check every job
At a glance
NVIDIA is hiring a Developer Relations Manager – AI Natives in Santa Clara, CA. It is a full-time fully remote role in Data, AI & Analytics, asking for at least 5 years of experience, first listed on November 5. The description mentions Generative AI, Microservices and Machine learning. NVIDIA has 149 other openings in the US, 135 of them in Santa Clara, CA. Across all employers on USA Jobs 24 there are 69 Data & AI openings in Santa Clara, CA today; the typical one asks for 8 years and advertises about $194,000 a year at the midpoint.
How the pay compares
NVIDIA has not published pay for this job, or we could not find it in the advert. Of the 807 data & AI jobs in California on USA Jobs 24, 76% show pay, and the typical yearly midpoint among them is $227,000. That gives you a fair starting point when the subject comes up. California has a pay transparency law that requires most employers to give a pay range for jobs there, so it is reasonable to ask the recruiter for it.
Skills in this advert
How often each skill named in this advert appears across the 1,783 data & AI jobs we list today. Machine learning is the most widely requested (36% of jobs), while Microservices is the least common (3%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
Paste your resume and this advert into our resume match tool to see which of these words your resume already covers.
Before you apply
- Check it is still open. We found this job on NVIDIA's Workday site on November 5 and checked it again November 5, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Check where you can work from. This job is listed as remote. Many US employers can only hire remote staff in states where they run payroll, so look for a list of states in the advert below.
- Match the experience. The advert asks for at least 5 years of experience. If you are a little short, a close match on the skills in the advert can still win an interview.
- Tailor your resume. Use the advert's own words, such as Generative AI, Microservices and Machine learning, wherever they are true for you. Our resume guide shows how.
- Apply only through NVIDIA's own site. Our Apply button goes straight to NVIDIA's Workday page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at NVIDIA
NVIDIA has 150 openings on USA Jobs 24 today across 8 states. Most are in software & IT (80), data & AI (33) and hardware & chips (21). The biggest locations are Santa Clara, CA (136), Austin, TX (21) and Seattle, WA (8). 35% of them are remote, 7% are open to entry-level candidates and none shows pay. We collect NVIDIA's jobs every day straight from its own careers system (Workday), never from job boards or agencies.
The employer's advert
This is NVIDIA's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from NVIDIAHide the advert731 words
We are seeking a visionary Developer Relations Manager to engage with the next generation of AI-native software companies—the builders creating entirely new categories of products powered by generative models, agents, and multimodal AI. In this role, you will partner directly with AI-native founders, product leaders, and engineering teams to help them design, optimize, and scale their AI platforms on NVIDIA technologies. You will guide companies building agentic systems, AI copilots, developer tools, reasoning models, and multimodal AI applications, helping them accelerate training, optimize inference, and deliver world-class AI experiences to millions of users. The ideal candidate combines deep technical expertise in AI in systems, developer platforms, and large-scale inference infrastructure with a passion for working alongside the world’s most ambitious startup founders and engineers.
What you will be doing:
Serve as a trusted technical advisor to the next generation of AI-native companies building category-defining applications such as developer copilots, AI search engines, agentic platforms, and multimodal creative tools.
Work directly with startup founders and engineering teams to architect and optimize AI workloads using NVIDIA technologies including CUDA-X libraries, TensorRT-LLM, Triton Inference Server, NVIDIA NeMo, NIM microservices, and GPU-accelerated data processing frameworks.
Help AI-native companies scale training and inference infrastructure, optimizing model performance, cost efficiency, and latency across NVIDIA accelerated computing platforms.
Guide startups through complex architectural decisions including model optimization, inference scaling, agent frameworks, multimodal pipelines, and real-time AI systems.
Collaborate closely with NVIDIA engineering, research, product, and go-to-market teams to identify emerging AI-native categories and influence NVIDIA’s platform roadmap.
Build strong relationships with founders, CTOs, and technical leaders across the AI-native ecosystem to ensure NVIDIA is the platform of choice for the most innovative AI companies.
Support the creation of reference architectures, AI blueprints, and best practices that enable AI-native companies to deploy scalable AI applications and agentic systems.
Partner with NVIDIA’s Industry Business Development teams, Solutions Architects, and Account Managers to accelerate adoption of NVIDIA technologies across high-growth AI-native companies.
What we need to see:
BS/MS degree or equivalent experience in Computer Science, Engineering, or a related field.
5+ years of experience in software engineering, developer relations, solutions architecture, technical partnerships, or product management within AI, developer platforms, or large-scale software systems.
Hands-on experience building or scaling AI-powered products, developer platforms, or large-scale cloud services.
Strong expertise in machine learning infrastructure, model serving, distributed systems, and real-time AI applications.
Deep understanding of the modern AI stack including LLMs, agent frameworks, multimodal models, and inference optimization.
Proven ability to work closely with engineering teams and startup founders to influence product architecture and technical roadmaps.
Exceptional communication skills and the ability to explain complex AI systems to audiences ranging from engineers to startup founders and executives.
Experience working within fast-moving startup environments or supporting high-growth developer ecosystems.
Ways to Stand Out from the crowd:
Experience working with AI-native startups building developer tools, AI copilots, agent platforms, search systems, or multimodal applications.
Hands-on experience optimizing LLM training or inference workloads using frameworks such as TensorRT-LLM, Triton Inference Server, CUDA, RAPIDS, or similar GPU acceleration technologies.
Experience building or scaling AI infrastructure platforms, developer tools, or agent frameworks used by large developer communities.
Demonstrated success working directly with startup founders and early engineering teams to shape product architecture and platform strategy while also helping them scale to full out platform companies.
Experience contributing to open-source AI frameworks or developer ecosystems.
With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you!
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 9, 2026.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.USA Jobs 24 copied this listing from NVIDIA's official careers site on November 5, 2026 and checked it again November 5, 5:17 AM ET. NVIDIA will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
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