Manager of Developer Relations, Robotics

NVIDIA's creation of the GPU in 1999 fostered the expansion of the PC gaming market, reformed contemporary computer graphics, and revolutionized parallel computing. More recently, GPU deep learning sparked modern AI — the forthcoming era of computing. With the GPU serving as the primary computing apparatus, robots can now perceive and comprehend their surroundings. Today, NVIDIA has evolved into "the AI computing company." AI-empowered robotics is a rapidly exciting sector, largely shaped by recent advancements in hardware acceleration via devices like the modern GPU. Furthermore, everything moving will be autonomous, and everything autonomous will be trained in simulation. If you're enthusiastic about the role of AI and simulation in robotics and love working in a brisk and dynamic setting, we'd be excited to hear from you! The ideal candidate holds a technical background in AI or robotics, is eager about being at the crossroads of business and technology, and thrives on engaging with the robotics ecosystem. What you’ll be doing: Engaging with companies in NVIDIA’s robotics ecosystem and sustaining relationships with them to understand their use cases and guide them on how to fully utilize NVIDIA’s Isaac (robotics) platform. Collaborating with NVIDIA’s startup program, Inception, to drive the adoption of NVIDIA’s Isaac platform. Relaying partner feedback on Isaac to relevant product teams. Cooperating with internal teams to actively measure and track the engagements. Working closely with other devrels, business, and technical teams to assist the engagements as needed. Supporting marketing activities at notable robotics conferences as well as the GPU Technology Conference (GTC), the premier developer conference from NVIDIA. What we need to see: BS/MS in Computer Science, Electrical/Computer Engineering, or a related technical field (or equivalent experience). 5+ years of industry experience in a hands-on technical role, preferably in AI or robotics. Knowledge of NVIDIA’s GPU computing platform. Good comprehension of machine learning, deep learning, AI, and robotics technologies. Excellent interpersonal and communication skills and collaborative demeanor. Passion for networking and building ecosystems. Ways to stand out from the crowd: MBA/MS or advanced degree preferred. Knowledge of NVIDIA’s Isaac platform. Experience in building ecosystems. The base salary range is 112,000 USD - 224,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.