Developer Relations Manager – AI Natives

Job not on LinkedIn

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤝 Developer Relations (DevRel)

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Serve as a trusted technical advisor to AI-native companies building developer copilots, AI search engines, agentic platforms, and multimodal creative tools • 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 companies scale training and inference infrastructure while optimizing model performance, cost efficiency, and latency • Guide startups through model optimization, inference scaling, agent frameworks, multimodal pipelines, and real-time AI systems • Collaborate with NVIDIA engineering, research, product, and go-to-market teams to identify emerging AI-native categories and influence the platform roadmap • Build relationships with founders, CTOs, and technical leaders across the AI-native ecosystem • Create reference architectures, AI blueprints, and best practices for scalable AI applications and agentic systems • Partner with Industry Business Development teams, Solutions Architects, and Account Managers to accelerate NVIDIA technology adoption

🎯 Requirements

• 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 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 ability to explain complex AI systems to engineers, startup founders, and executives • Experience working within fast-moving startup environments or supporting high-growth developer ecosystems • Experience with AI-native startups, developer tools, AI copilots, agent platforms, search systems, or multimodal applications (ways to stand out) • Experience optimizing LLM training or inference with TensorRT-LLM, Triton Inference Server, CUDA, RAPIDS, or similar GPU acceleration technologies (ways to stand out) • Experience building or scaling AI infrastructure platforms, developer tools, or agent frameworks used by large developer communities (ways to stand out) • Experience shaping product architecture and platform strategy with startup founders and early engineering teams (ways to stand out) • Experience contributing to open-source AI frameworks or developer ecosystems (ways to stand out)

🏖️ Benefits

• Competitive salaries • Generous benefits package • Equity • Benefits • Inclusive work environment • Equal opportunity employment

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