Senior Compute System Software Engineer

NVIDIA
Bengaluru
Full timeFunction: Software EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["High-quality software development","Mentoring","Team collaboration","Self-motivation","Desire to learn"]

Design and architect user-mode GPU/compute drivers within NVIDIA’s Compute System software team, collaborating with architecture and hardware engineers. You’ll develop functional safety software and strengthen complex, domain-diverse software for critical automotive deployment, including acquiring safety certification. Contribute to proprietary and open computing standards and help advance next-generation GPUs and DLAs, while mentoring engineers and raising software quality across the team.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Senior Compute System Software Engineer

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Last checked: 13 hours agoStatus: Live

Job Summary

Design and architect user-mode GPU/compute drivers within NVIDIA’s Compute System software team, collaborating with architecture and hardware engineers. You’ll develop functional safety software and strengthen complex, domain-diverse software for critical automotive deployment, including acquiring safety certification. Contribute to proprietary and open computing standards and help advance next-generation GPUs and DLAs, while mentoring engineers and raising software quality across the team.
Location: Bengaluru
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Define, architect, analyze, and develop user-mode drivers that interact with GPUs, DLAs, and other Tegra compute engines.
  • •Develop functional safety software and help shape parallel computation on GPUs and DLAs.
  • •Modify and harden complex software for deployment in critical automotive sectors and support safety certification.
  • •Contribute to proprietary and open computing standards in collaboration with architecture and hardware engineers.
  • •Inculcate a culture of high-quality software development and mentor other engineers.

Key Requirements

  • •BS/MS degree in Computer Science or related field, or equivalent experience.
  • •5+ years of proven experience in complex software development, design, and analysis.
  • •Strong understanding of computer architecture and OS fundamentals.
  • •Passion for high-quality software engineering and desire to improve software.
  • •Background/experience with parallel programming (e.g., CUDA, OpenCL, or Renderscript) and/or deep learning frameworks (PyTorch, TensorFlow, ONNX) is a plus.
Experience:5+ yearsAIParallel computingDeep learningAutomotiveGPU software
Education:Bachelor's in Computer Science
Skills:High-quality software developmentMentoringTeam collaborationSelf-motivationDesire to learn
Tech Stack:CUDAOpenCLRenderscriptPyTorchTensorFlowONNXGPUDLATegraNPUISPDSPFMEAFTAETAHAZOPDFA

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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