Senior Developer Technology Engineer - AI

NVIDIA
Santa Clara, Austin, Durham
Workplace: HybridFull timeFunction: Software EngineeringExperience: 8+ yearsEducation: mastersSkills: ["Communication","Problem-solving","Organization","Prioritization"]

Senior Developer Technology Engineer focusing on researching parallel algorithms to accelerate AI workloads on CPU/GPU architectures. Collaborates with industry/academic experts to optimize AI/HPC algorithms, publish techniques, and influence next-generation hardware, software, and programming models at NVIDIA. Has strong C/C++ and parallel programming background and hands-on performance optimization experience, with a track record in AI domains.

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FursaFursa
NVIDIA
NVIDIA
6 months ago

Senior Developer Technology Engineer - AI

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Senior Developer Technology Engineer focusing on researching parallel algorithms to accelerate AI workloads on CPU/GPU architectures. Collaborates with industry/academic experts to optimize AI/HPC algorithms, publish techniques, and influence next-generation hardware, software, and programming models at NVIDIA. Has strong C/C++ and parallel programming background and hands-on performance optimization experience, with a track record in AI domains.
Location: Santa Clara, Austin, Durham
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains.
  • •Collaborate with industry and academia to analyze and optimize AI and HPC algorithms for CPU and GPU architectures.
  • •Publish and present optimization techniques in developer blogs or relevant conferences to engage the Developer community.
  • •Influence the design of next-generation hardware architectures, software, and programming models in collaboration with NVIDIA teams.
  • •Collaborate with research, hardware, system software, libraries, and tools teams at NVIDIA to drive impact across products.

Pay and Benefits

Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •A Masters degree in Computer Science, Computer Engineering, or related computationally focused science degree (or additional equivalent experience).
  • •8+ years of relevant work experience or research.
  • •Programming fluency in C/C++ with a deep understanding of algorithms and software development.
  • •Background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc.
  • •Hands on experience doing low-level performance optimizations.
Experience:8+ yearsAIGPUHPCDeep Learning
Education:Master's
Skills:CommunicationProblem-solvingOrganizationPrioritization
Tech Stack:C++CCUDAOpenACCOpenMPMPI

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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