Big Data Product Engineer at Bigstream

Mountain View · Full Time
Bigstream is working on a software platform to hyper-accelerate big data technologies like Spark, Kafka, Presto and TensorFlow. We are achieving speedups of 2x - 20x using autonomous software and hardware accelerators. Think advanced compiler technology and FPGA/GPU acceleration - while requiring ZERO code changes. Read More
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Job Description

The Bigstream Product Engineering team is looking to welcome a new, talented coder to work as a Big Data Product Engineer for the world's first hyper-acceleration (CPUs + GPUs + FPGAs) platform for Spark, Machine Learning and AI workloads. This is cutting edge technology that uses a powerful combination of acceleration techniques to squeeze every last ounce of performance from each application and from every node in the cluster. Several patents having been granted with more pending. This is a place that you can make a huge difference.

The individual will work to architect, design, develop and release the advanced infrastructure of Bigstream’s core big data processing engines. This position will be a key member in building, fine-tuning and optimizing the performance of Bigstream’s technology stack.

By joining the Bigstream team, you are entering a world of cutting edge development and innovation, where you will get both encouragement and guidance as well as a free hand to solve tough technical problems using good design and your personal inspiration. As a member of a well-funded early stage startup you will receive an equity share and market rate salary, as well as good food, rocking coffee, company outings and freedom to be yourself. And, of course, medical and 401k benefits too.

- Design and develop front-end components for Bigstream's big data hyper-acceleration stack
- Complete and enhance back-end components for Bigstream’s software stack

- MS or PhD in Computer Science and/or Computer Engineering
- 2 to 3+ years of experience in big data/HPC programming
- Minimum of 2-3 years of experience with Java, C/C++, SQL, and/or Scala
- Familiarity with C++11 is a plus
- Familiarity with machine learning/deep learning algorithms
- Experience with big data frameworks, such as HDFS, Spark, Cassandra, or TensorFlow
- Experience with query optimization and product performance improvement
- Experience with large-scale distributed systems design preferred
- Experience with MySQL preferred
- Experience with Linux kernel preferred

Bigstream welcomes people from diverse backgrounds and perspectives in all functions of the business.

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What We're Building

For AI and Big Data application developers, Bigstream's hyper-acceleration provides dataflow run-time software that executes existing data processing platforms on top of next-generation compute systems in a seamless manner. Unlike hardware- and/or platform-specific alternatives, Bigstream offers the highest level of performance instantly with no application changes or loss of API programmatic access.

As a pretty accomplished marketer and technologist, I'm not used to pretty much everyone else in the office being smarter than me, but I wouldn't have it any other way! This company is taking on an enormous engineering challenge: completely transparent hyper-acceleration of big data and machine learning workloads. We've released our first product and we are seeing record-breaking performance for Spark SQL, data ingest, ETL, and machine learning applications. It's a great time to join the company in any capacity
Some of the Bigstream team at Strata Conference this year; with a Gorilla in our midst
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Bigstream Team

Maysam Lavasani
Founder @Bigstream • Worked at @Microsoft • Studied at @University of Texas at Austin
George Demarest
Vice President of Marketing at Bigstream
Shahrzad Mirkhani
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Bigstream Investors

Level Ventures
Entrepreneur & Investor
Alireza Masrour
Managing Partner @ Plug & Play Ventures, Virtual Co-founder of the following portfolio on Plug & Play behalf and Founding Partner @ Plug & Play Startup Camp.
Farzad Nazem
Founding CTO of Yahoo for the first 11 years. Angel investor and adviser.