Senior Developer Technology Engineer, High-Performance Databases

NVIDIA
Santa Clara, New York, California
Workplace: HybridFull timeUSD 152,000 - 287,500 annuallyFunction: Software EngineeringExperience: 5+ yearsEducation: phdSkills: ["Communication","Organization","Problem solving","Prioritization"]

Research and develop techniques to GPU-accelerate high-performance database and ETL applications. Analyze complex, data-intensive workloads to optimize performance on current GPU architectures, collaborating with experts across NVIDIA and external industry/academia partners. Contribute to next-generation hardware, software, and programming model design while driving optimizations and publishing findings at conferences and developer venues.

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NVIDIA
NVIDIA
16 hours ago

Senior Developer Technology Engineer, High-Performance Databases

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Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Research and develop techniques to GPU-accelerate high-performance database and ETL applications. Analyze complex, data-intensive workloads to optimize performance on current GPU architectures, collaborating with experts across NVIDIA and external industry/academia partners. Contribute to next-generation hardware, software, and programming model design while driving optimizations and publishing findings at conferences and developer venues.
Location: Santa Clara, New York, California
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Research and develop techniques to GPU-accelerate high-performance database and ETL applications.
  • •Perform in-depth analysis and optimization of complex data-intensive workloads for best performance on current GPU architectures.
  • •Collaborate with NVIDIA research, hardware, system software, libraries, and tools teams to influence next-generation hardware, software, and programming model design.
  • •Work with technical experts in industry and academia to identify and optimize hardware/system bottlenecks.
  • •Publish research findings through developer blogs and relevant conferences/workshops while representing NVIDIA’s expertise to customers.

Pay and Benefits

Salary: USD 152,000 - 287,500 annually
Equity and Bonus:Equity

Key Requirements

  • •A Masters or PhD in Computer Science, Computer Engineering, or a related computationally focused science degree (or equivalent experience).
  • •At least 5+ years of relevant work or research experience.
  • •Programming fluency in C/C++ with a deep understanding of algorithms and software design.
  • •Hands-on experience with low-level parallel programming (e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, TBB).
  • •In-depth expertise with CPU/GPU architecture fundamentals, especially the memory subsystem.
Experience:5+ yearsGPU computingHigh-performance databasesETLData analyticsDistributed systemsParallel programming
Education:PhD / Doctorate in Computer Science, Computer Engineering, or related computationally focused science
Skills:CommunicationOrganizationProblem solvingPrioritization
Tech Stack:CC++CUDAOpenACCOpenMPMPIPthreadsTBBGPUCPUETLSparkCompressionStorage systemsNetworkingDistributed database systems

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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