Senior DevTech Compute Engineer, Compression and Data Processing

NVIDIA
Santa Clara, New York
Workplace: HybridFull timeUSD 184,000 - 356,500 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: mastersSkills: ["Problem solving","Communication","Cross-team collaboration","Prioritization","Interpersonal skills"]

Prototype and integrate GPU-accelerated distributed data processing approaches across dataframe analytics, low-latency lossless/lossy compression, and transactional/vector databases. Analyze and optimize complex data-intensive workloads on heterogeneous GPU/CPU systems, influencing next-generation hardware, software, and programming models. Collaborate with NVIDIA research and systems teams and work with major customers and CSPs to deploy solutions at speed-of-light while shaping open standards for data analytics and compression.

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FursaFursa
NVIDIA
NVIDIA
3 days ago

Senior DevTech Compute Engineer, Compression and Data Processing

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Prototype and integrate GPU-accelerated distributed data processing approaches across dataframe analytics, low-latency lossless/lossy compression, and transactional/vector databases. Analyze and optimize complex data-intensive workloads on heterogeneous GPU/CPU systems, influencing next-generation hardware, software, and programming models. Collaborate with NVIDIA research and systems teams and work with major customers and CSPs to deploy solutions at speed-of-light while shaping open standards for data analytics and compression.
Location: Santa Clara, New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Prototype and integrate novel GPU-accelerated distributed data processing approaches across analytics, compression, and database workloads.
  • •Perform in-depth analysis and optimization of complex, data-intensive workloads for best performance on heterogeneous GPU/CPU architectures.
  • •Collaborate with research, hardware, system software, and tooling teams to influence next-generation hardware architectures, software, and programming models.
  • •Work with NVIDIA customers and CSPs to integrate solutions and influence open standards in data analytics and compression.
  • •Coordinate and deliver systems-level improvements by investigating and overcoming bottlenecks across multi-stage, multi-IP overlapped workloads.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually
Equity and Bonus:Equity

Key Requirements

  • •Masters or PhD in Computer Science, Computer Engineering, Applied Math, or a related computationally focused field (or equivalent experience).
  • •At least 5+ years of relevant work or research experience in state-of-the-art systems or complex cross-team projects.
  • •Hands-on low-level parallel programming across CPU/GPU/NPU/ASIC execution units (e.g., CUDA, ROCm, Metal, OpenACC, OpenMP, MPI, pthreads, TBB).
  • •Fluency in C/C++, algorithms, and data structures.
  • •Domain expertise in data processing and compression/decompression (codecs) or high-performance distributed databases, ETL, and data analytics.
Experience:5+ yearsDistributed data processingData analyticsCompressionHigh-performance computingGPU computing
Education:Master's
Skills:Problem solvingCommunicationCross-team collaborationPrioritizationInterpersonal skills
Tech Stack:CUDAROCmMetalOpenACCOpenMPMPIPthreadsTBBC/C++GPU Query Engine (GQE)NvCOMPCuCollectionsDataframesVector databasesETLData lakesNICsStorage I/OH.264H.265

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
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Glassdoor: 4.3
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