Senior Developer Relations Manager, Robotics

NVIDIA
India
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 8+ yearsEducation: bachelorsSkills: ["Technical troubleshooting","Developer education","Stakeholder engagement","Architecture reviews","Translating field feedback"]

Lead hands-on Developer Relations for robotics, edge AI, and physical AI developers in India. Build and execute a technical DevRel strategy: develop relationships with robotics and perception leaders, identify priority workloads for GPU acceleration, and create demos, sample code, reference architectures, and lab materials. Run code labs and workshops, guide developers across NVIDIA cloud-to-edge platforms and deployment patterns, and translate field feedback into product and ecosystem improvements.

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FursaFursa
NVIDIA
NVIDIA
1 month ago

Senior Developer Relations Manager, Robotics

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Lead hands-on Developer Relations for robotics, edge AI, and physical AI developers in India. Build and execute a technical DevRel strategy: develop relationships with robotics and perception leaders, identify priority workloads for GPU acceleration, and create demos, sample code, reference architectures, and lab materials. Run code labs and workshops, guide developers across NVIDIA cloud-to-edge platforms and deployment patterns, and translate field feedback into product and ecosystem improvements.
Location: India
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

Key Responsibilities

  • •Build and execute a technical Developer Relations strategy for robotics, edge AI, and physical AI companies in India.
  • •Develop strategic relationships with founders, CTOs, robotics engineers, perception teams, simulation developers, product leaders, and system integrators.
  • •Profile and evaluate robotics/edge AI workloads to determine GPU acceleration fit and bottlenecks across compute, sensor IO, memory, network, latency, power, and orchestration constraints.
  • •Create and adapt robotics demos, sample code, reference architectures, lab material, and technical guides to help developers evaluate and adopt NVIDIA technologies.
  • •Run robotics-focused code labs, workshops, architecture reviews, office hours, developer sessions, technical webinars, and community programs; partner with internal teams to support priority accounts and capture field insights.

Key Requirements

  • •Bachelor’s degree in robotics, computer science, electrical engineering, mechanical engineering, AI, or related field, or equivalent experience.
  • •8+ years in technical Developer Relations, robotics, autonomous systems, edge AI, embedded systems, computer vision, simulation, solution architecture, or technical ecosystem development.
  • •Strong understanding of robotics software stacks, AI perception, sensor fusion, edge deployment, model optimization, and production constraints for physical systems.
  • •Hands-on programming experience in Python and C++ with Linux-based development, robotics middleware, sensor data pipelines, and edge deployment workflows.
  • •Experience with cloud-to-edge workflows and NVIDIA robotics/edge AI platforms (e.g., Isaac Sim/ROS/Lab, Jetson, TensorRT, Triton, CUDA, Nsight tools, NGC containers).
Experience:8+ yearsRoboticsAutonomous systemsEdge AIComputer visionSimulationDeveloper relationsTechnical ecosystem
Education:Bachelor's in Robotics, computer science, electrical engineering, mechanical engineering, AI (or related technical discipline)
Skills:Technical troubleshootingDeveloper educationStakeholder engagementArchitecture reviewsTranslating field feedback
Tech Stack:PythonC++LinuxContainersAPIsIsaac SimIsaac ROSIsaac LabOmniverse ReplicatorJetsonTensorRTTriton Inference ServerCUDANsight SystemsNsight ComputeNGC containersROS 2Digital twinsSynthetic data

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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