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© All Rights Reserved. ApplyBlast.com
Datapelago
DataPelago is seeking a Parallel Software Engineer to develop advanced parallel software that leverages diverse hardware accelerators like GPUs and SIMD-capable CPUs. The role involves designing, implementing, and optimizing data processing operators to improve performance, scale, and reliability of their data processing engine. This position offers the chance to work on innovative technology at the forefront of accelerated data processing and significantly impact the product's performance.
Headquarters
Mountain View, California, United States
Company Size
11-50 employees
Founded
2022
DataPelago builds high-performance data processing software — including DataPelago Nucleus and the DataPelago Accelerator for Spark — designed to dramatically speed up Spark and other data workloads. Their universal data processing engine optimizes execution across modern data stacks, with published benchmarks comparing performance to alternatives like NVIDIA cuDF. DataPelago provides documentation, install guides, case studies, and a trust center to support enterprise deployment, security, and compliance. Customers use their tools to accelerate ETL, analytics, and ML pipelines while preserving compatibility with existing Spark-based workflows.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Datapelago.
Right around the average for this role