AI Developer Technology Engineer

NVIDIA
Bengaluru, Pune
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 2+ yearsEducation: mastersSkills: ["Communication","Organization","Problem-solving"]

Join NVIDIA's Compute Developer Technology (Devtech) team as an AI Developer Technology Engineer. You’ll study and develop cutting-edge deep learning and AI techniques for GPU architectures, work with key customers to deliver AI solutions, and collaborate across architecture, research, libraries, and systems teams to influence next-generation platforms and programming models.

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FursaFursa
NVIDIA
NVIDIA
6 months ago

AI Developer Technology Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Join NVIDIA's Compute Developer Technology (Devtech) team as an AI Developer Technology Engineer. You’ll study and develop cutting-edge deep learning and AI techniques for GPU architectures, work with key customers to deliver AI solutions, and collaborate across architecture, research, libraries, and systems teams to influence next-generation platforms and programming models.
Location: Bengaluru, Pune
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Study and develop cutting-edge techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures.
  • •Work directly with key customers to understand the current and future problems they are solving and provide the best AI solutions using GPUs.
  • •Collaborate closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to influence the design of next-generation architectures, software platforms, and programming models.
  • •Optimize performance of AI workloads on GPU architectures and contribute to programming models and tools development.
  • •Communicate findings and results effectively, coordinating with cross-functional teams and contributing to technical discussions and reviews.
Travel: Low travel

Key Requirements

  • •A Masters degree or PhD in an engineering or computer science related discipline or equivalent experience and 2+ years of relevant work or research experience.
  • •Strong knowledge of C/C++, software design, programming techniques, and AI algorithms.
  • •Firsthand work experience with parallel programming, ideally CUDA C/C++.
  • •Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.
  • •Some travel is required for conferences and for on-site visits with developers.
Experience:2+ yearsAIGPUDeep learningCUDA
Education:Master's
Skills:CommunicationOrganizationProblem-solving
Tech Stack:C++CUDAGPUDeep learningGraphsMachine learning

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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