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Job #:  510
Job Title:  Big Data Product Engineer
Perm or Contract:  Permanent
Date Posted:  11-Aug-2017
Position:  SW Engineer
Location:  Mountain View, CA
Area Code:  650
Skills:  machine learning, AI, performance, Java, C/C++, SQL, and/or Scala, software stack, Big Data, Distributed Systems
Job Description:  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 our core big data processing engines. This position will be a key member in building, fine-tuning and optimizing the performance of our technology stack.

Responsibilities:
- Design and develop front-end components for our big data hyper-acceleration stack
- Complete and enhance back-end components for our software stack

Qualifications:
- 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


Skills
C++, Java, Machine Learning, Big Data, Distributed Systems, Computer Architecture
Job #:  510

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