Developer Relations Manager – Data Processing and Databases

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 184,000 - 356,500 annuallyFunction: Software EngineeringExperience: 6+ yearsEducation: bachelorsSkills: ["Technical advocacy","Cross-functional collaboration","Benchmarking rigor","Communication","Project management"]

Shape how GPU-accelerated analytics lands across NVIDIA’s analytical data processing ecosystem. Partner with open-source and partner engine teams to define the integration surface, build reference implementations and guides, and unblock query-engine/OLAP integrations from prototype to measured results across cloud, hybrid, and on-prem. Lead benchmark design (TPC-H, TPC-DS, ClickBench), publish defensible evidence, and translate findings into NVIDIA roadmap requirements while advocating publicly and privately with technical communities.

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FursaFursa
NVIDIA
NVIDIA
22 hours ago

Developer Relations Manager – Data Processing and Databases

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Last checked: 22 hours agoStatus: Live

Job Summary

Shape how GPU-accelerated analytics lands across NVIDIA’s analytical data processing ecosystem. Partner with open-source and partner engine teams to define the integration surface, build reference implementations and guides, and unblock query-engine/OLAP integrations from prototype to measured results across cloud, hybrid, and on-prem. Lead benchmark design (TPC-H, TPC-DS, ClickBench), publish defensible evidence, and translate findings into NVIDIA roadmap requirements while advocating publicly and privately with technical communities.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

Key Responsibilities

  • •Build and deepen technical expertise in analytical data processing, including query execution/optimization, columnar and vectorized processing, and distributed execution.
  • •Serve as a technical advocate for developers and engineering teams, driving adoption of NVIDIA technologies such as Sirius, cuCascade, RAPIDS, cuDF, nvCOMP, and CUDA-X Data Processing.
  • •Demonstrate and integrate NVIDIA’s data processing stack into real query engines and OLAP databases, taking work from prototype to measured integration across deployments.
  • •Provide onboarding and hands-on support via reference implementations and integration guides so first integrations deliver real accelerated query paths.
  • •Define the integration surface (plan handoff, execution/memory ownership division, partner component boundaries, and required NVIDIA APIs) and ensure patterns carry forward across integrations.

Pay and Benefits

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

Key Requirements

  • •Bachelor's or Master's degree (or equivalent experience) in Computer Science, Engineering, or a related field.
  • •6+ years of professional experience in the technology industry, including hands-on work with analytical data systems, and/or evidence such as systems research or open-source maintainership.
  • •Experience supporting open source data projects and their contributor communities, and/or commercial data platform/database ISVs or cloud provider data services.
  • •Working proficiency in analytical data systems internals: query execution/optimization, vectorized and columnar processing, joins and aggregation, and storage formats such as Parquet and Arrow.
  • •Proficiency reading and contributing to large C++, Rust, or Python codebases, plus strong communication and the ability to manage technical projects and integration challenges.
Experience:6+ yearsDeveloper relationsOpen sourceData platformsDatabasesCloudGPU acceleration
Education:Bachelor's
Skills:Technical advocacyCross-functional collaborationBenchmarking rigorCommunicationProject management
Tech Stack:SiriusCuCascadeRAPIDSCuDFNvCOMPCUDA-X Data ProcessingCUDATPC-HTPC-DSClickBenchC++RustPythonParquetArrow

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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