22 days old

Systems/Software Engr II

Hewlett Packard Enterprise
San Jose, CA 95113
  • Job Code
    1089426
Deep learning has enormous promise, but developing deep learning models at scale remains extremely complex, time-consuming, and expensive. At Determined AI, we are working to change that: our revolutionary open source deep learning training platform enables deep learning engineers to train better models in less time, to seamlessly share GPU clusters, and to collaborate more effectively.
As a Systems Engineer, you will play a fundamental role building our core deep learning platform. Youll get the chance to tackle challenging problems at the cutting edge of deep learning research and development, and to collaborate with leading machine learning researchers and engineers. You will have the opportunity (and responsibility!) to define major aspects of our product: youll be expected to take on a difficult problem without a clear solution, and to design, build, and iterate until weve reached an elegant solution that delights our customers. You will work on problems such as efficient cluster scheduling over heterogeneous GPUs, implementing cutting-edge algorithms for hyperparameter optimization, and designing systems for managing ETL pipelines and automated deployment of deep models.

Requirements

    • Strong problem solving and analytical skills
    • Excellent communication skills, both written and verbal
    • An exceptional track record of designing, implementing and shipping scalable, reliable production-quality software
    • Experience with distributed and/or concurrent software development
    • Theoretical knowledge of statistics or machine learning is not required

Preferred

    • Experience building systems for large-scale data management, analytics, cluster scheduling, stream processing, or machine learning
    • Familiarity with modern container-based cluster managers (e.g., Kubernetes, DC/OS)
    • Experience doing operations and being on-call for production systems
    • Interest or experience in machine learning and/or deep learning
    • Familiarity with hardware performance, HPC and/or scientific computing
AtDetermined AI, we are committed to building a team that welcomes colleagues with a diverse set of identities, backgrounds, experiences, and perspectives. We're proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, pregnancy, citizenship, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability.
Our Engineering Process
We use two-week engineering sprints to strike the right balance between execution and evaluating priorities. We structure our collaboration around projects: The project lead is an individual contributor directly responsible for the execution of the project, including planning the technical solution, coordinating work with other engineers, and communicating progress to stakeholders. Engineering managers ensure that project leads at all levels of their career have the support and guidance they need to fulfill these responsibilities effectively.
All code is reviewed by members of the team, following a specific set of guidelines to reduce ambiguity and drive to shipping efficiently. You can check out how we review code onour public repository.
Technical Stack
- Go
- Python
- React
- TypeScript
- TensorFlow
- PyTorch
- Keras
- Docker
- Kubernetes
- PostgreSQL

1089426

Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to the use of arrest and conviction records, including the San Francisco Fair Chance Ordinance and similar laws and will consider for employment qualified applicants with criminal histories.





Posted: 2021-07-07 Expires: 2021-08-05
Sponsored by:
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Sponsored by:
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Systems/Software Engr II

Hewlett Packard Enterprise
San Jose, CA 95113

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