NVIDIA · 5 hours ago
Distinguished Engineer, Apache Spark
NVIDIA is seeking a Distinguished Engineer for the Apache Spark Acceleration group. The role involves leading the architecture, design, and implementation of accelerated Apache Spark and related big-data frameworks while engaging with open source communities and collaborating with distributed systems teams.
Artificial Intelligence (AI)Consumer ElectronicsGPUHardwareSoftwareVirtual Reality
Responsibilities
Lead the architecture, design and implementation of accelerated Apache Spark and related big-data frameworks
Engage open source communities (including Apache Spark, RAPIDS, Apache Iceberg, Delta Lake and UCX) for technical discussion and contribution, and engage new communities where we may not have a strong presence yet
Work with NVIDIA partners to deploy GPU enabled data analytics solutions in public cloud or on-premises clusters
Present technical solutions at industry conferences and meetups
Collaborate with distributed systems teams to define solutions to distributed processing problems challenges at large scale
Provide recommendations and feedback to teams regarding decisions surrounding topics such as infrastructure, continuous integration and testing strategy
Build, test and optimize CUDA/C++ libraries across different platforms
Build automation and tools that will increase the productivity of teams developing distributed systems
Mentor members of the engineering team
Qualification
Required
BS, MS, or PhD in Computer Science, Computer Engineering, or closely related field (or equivalent experience)
17+ years of work or research experience in software development
Prior experience in delivering complex software projects as a lead architect
Outstanding technical skills in designing and implementing high-quality distributed systems
Excellent programming skills in C++, Java, and/or Scala
Highly motivated with strong interpersonal skills and communication skills
5+ years working experience with key open source big-data projects as a contributor or committer to Apache Spark, Apache Hadoop, Apache Flink, Apache Kafka, Apache Hive, Apache Arrow, Delta Lake
Excellent knowledge about distributed system schedulers: Kubernetes, Hadoop YARN, Apache Spark
Able to delve into a new area and quickly come up to speed
Able to work with teams across boundaries and geographies
Preferred
Working experience in designing and developing columnar query engines would be a huge plus
Committership at major open source projects (such as Apache Spark, Apache Hadoop, Apache Flink) is a big plus
Working experience with acceleration libraries (CUDA, RAPIDS, UCX) is helpful
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (1418)
2024 (1356)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
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