Senior Developer Relations Manager

NVIDIA
Bengaluru
Full timeFunction: Software EngineeringExperience: 8+ yearsEducation: bachelorsSkills: ["Relationship building","Technical troubleshooting","Stakeholder engagement","Communication","Strategic execution"]

Lead hands-on technical Developer Relations with AI Labs in India, helping ML researchers, infrastructure teams, and startup CTOs adopt NVIDIA platforms for training, optimization, deployment, and production inference. Own a technical DevRel strategy, build trusted relationships, and deliver deep code labs, demos, workshops, and architecture reviews. Profile AI workloads for GPU acceleration fit, create reference architectures and performance guides, debug integrations, and translate developer feedback into product input.

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FursaFursa
NVIDIA
NVIDIA
2 days ago

Senior Developer Relations Manager

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 minutes agoStatus: Live

Job Summary

Lead hands-on technical Developer Relations with AI Labs in India, helping ML researchers, infrastructure teams, and startup CTOs adopt NVIDIA platforms for training, optimization, deployment, and production inference. Own a technical DevRel strategy, build trusted relationships, and deliver deep code labs, demos, workshops, and architecture reviews. Profile AI workloads for GPU acceleration fit, create reference architectures and performance guides, debug integrations, and translate developer feedback into product input.
Location: Bengaluru
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

Key Responsibilities

  • •Build and execute a technical Developer Relations strategy to grow NVIDIA platform adoption across AI Labs in India.
  • •Develop trusted relationships with founders, CTOs, ML researchers, ML infrastructure teams, platform leaders, and developer communities.
  • •Identify and accelerate high-value AI workloads (e.g., foundation model training, fine-tuning, speech AI, RAG, multimodal AI, inference optimization, and production model serving).
  • •Assess GPU acceleration fit for lab workloads by profiling bottlenecks and distinguishing compute-, memory-, IO-, network-, or orchestration-bound issues.
  • •Build demos and technical assets (sample code, notebooks, benchmark plans, reference architectures, performance guides) and run workshops/code labs/office hours to debug integrations and improve inference performance.

Key Requirements

  • •Bachelor’s degree in engineering, computer science, data science, or related field, or equivalent experience with 8+ years in technical Developer Relations, ML engineering, AI platforms, model infrastructure, or related startup technical engagement.
  • •Strong understanding of generative AI, deep learning, machine learning, model lifecycle, inference serving, model optimization, distributed training, and MLOps.
  • •Hands-on programming experience in Python; familiarity with C++ and CUDA is preferred.
  • •Experience with modern AI frameworks and deployment tooling including PyTorch, TensorFlow, JAX, Hugging Face, model serving systems, containers, Kubernetes, APIs, CI/CD, and distributed application architecture.
  • •Ability to profile and reason about AI workloads (GPU suitability, bottlenecks across compute/memory/IO/network/orchestration, and cost/performance tradeoffs).
Experience:8+ yearsGenerative AIMLOpsAI platformsModel infrastructureCloud-native AI
Education:Bachelor's in engineering, computer science, data science (or related technical discipline)
Skills:Relationship buildingTechnical troubleshootingStakeholder engagementCommunicationStrategic execution
Tech Stack:PythonC++CUDAPyTorchTensorFlowJAXHugging FaceContainersKubernetesAPIsCI/CDNeMo FrameworkNeMo CuratorNemotronTensorRT-LLMNVIDIA NIMTriton Inference ServerNCCLNsight SystemsNsight Compute

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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