AI Data Foundation Research Engineer

AI Data Foundation Research Engineer

Hewlett Packard Enterprise

Roles & Responsibilities:-

1. We are particularly interested in individuals with a background in computer systems, big data pipelines, data management, distributed storage systems, machine learning, deep learning, and statistics, with a good understanding of the current state of the art, major trends and opportunities, and a demonstrated track record in making things real in innovative ways.

2. The ideal candidate combines this interest with a broad, entrepreneurial interest in creating the next generation of HPE’s products and technologies.

3. We expect the candidate to possess excellent software systems engineering skills and be deeply hands on; to design, develop, troubleshoot and debug software for enhancements and new products, working with complex software stacks for data and meta-data management, operating systems, compilers, databases, and object stores; to determine hardware compatibility and/or influence system architecture design as necessary.

4. We expect all our researchers to provide thought leadership and technical influence both internally and externally to HPE, as well as take innovative ideas and make them real – contributing along the full range from initial novel ideas to design, development, implementation, evaluation, and technology transfer. The ideal candidate can thrive in an applied research environment, balancing significant technical contributions with the engineering skill to bring such contributions to practice through innovative solutions that address the needs of our customers and partners. We expect the successful candidate to collaborate with both HP Labs research and product teams as well as with external partners, and to work in alignment with HPE’s broader innovation community

Education and Experience:-

  • PhD in Computer Science or related fields with a focus on data management, big data, or Machine Learning.
  • Engineering and research experience in AI, data engineering, storage/data management and big data technologies
  • Experience with open source community contributions – a plus

Technical Skills:-

  • Strong programming skills and experience with Python, C/C++, with high proficiency in data structures and algorithms
  • Familiarity with AI, Machine Learning and Deep Learning algorithms
  • Expertise in the development of complex data layer technologies (data management systems, storage systems, filesystems)
  • Experience in system software performance and scalability optimization
  • Outstanding analytical and problem solving skills.
  • Experience in big data/ML/deep learning frameworks (e.g. Spark, Kafka, Tensorflow/ Pytorch), end-to-end production pipelines for AI and Machine Learning and in particular the data layer underlying the pipelines
  • Experience in deep learning research or software development, GPU acceleration, and Model Optimization – desired
  • Familiarity with tools and frameworks for DataOps, MLOps and Trustworthy AI – desired
  • Experience with multi-threaded programming, parallel processing, OOD/OOP/distributed programming – desired
  • Experience in containerized development and orchestration tools (e.g. Kubernetes, Ezmeral)– a plus

To apply for this job please visit careers.hpe.com.

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