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Software Engineer - Generative AI

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Hewlett Packard Enterprise

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Location:
United States, Santa Barbara

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

117500.00 - 270000.00 USD / Year

Job Description:

Hewlett Packard Enterprise is at the forefront of High Performance Computing and AI innovations to solve the most difficult and complex problems that we are facing today. In our Physics-Based GenAI team at Hewlett Packard Labs, we are dedicated to pushing the boundaries of what's possible with artificial intelligence. We specialize in creating cutting-edge machine learning algorithms and applications by augmenting state-of-the-art LLMs with concepts and tools from symbolic AI, physics simulators, statistical physics and non-equilibrium thermodynamics. We aim to revolutionize AI by creating first-principled generative models for system-2 thinking that can perform reliable and interpretable complex reasoning over multimodal data. Join us to be a part of a team that shapes the future of high-performance AI.

Job Responsibility:

  • Developing and refining AI models that can generate text, images, audio, or other types of symbolic, numerical, graphical, and scientific contents.
  • Work closely with a multidisciplinary team of engineers, researchers, and product managers.
  • Full development cycles of pre-training, fine-tuning, and inference to build efficient and innovative GenAI systems.

Requirements:

  • PhD in Computer Science, Artificial Intelligence, Machine Learning, Physics, Electrical Engineering, Mathematics, or other related fields.
  • 1 to 5 years relevant professional experience.
  • Minimum 3 years working experience with AI and machine learning, particularly in developing and deploying generative models.
  • Proven experience in software development with a strong background in algorithms, data structures, and object-oriented programming.
  • Proficiency in Python and C/C++.
  • Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch).
  • Excellent understanding of neural networks, deep learning, and generative models.
  • Ability to work in a fast-paced, iterative development environment.
  • Strong problem-solving skills, with a creative and analytical approach to tackling challenges.
  • Excellent communication skills, with the ability to collaborate effectively across diverse teams.

Nice to have:

  • Working experience with HPC programming environments.
  • Familiarity with combinatorial optimization techniques and algorithms, and their application in solving complex computational problems.
  • Background in computational physics, with an understanding of how physical principles can be applied to improve machine learning models and algorithms.
  • Experience in applying generative AI models to solve problems in areas such as material science, quantum computing, or complex system simulations.
  • Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure).
  • Contributions to open-source AI/ML projects or publications in relevant fields.
  • Experience with containerization and orchestration technologies.
What we offer:
  • A competitive salary and extensive social benefits
  • Diverse and dynamic work environment
  • Work-life balance and support for career development

Additional Information:

Job Posted:
March 20, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:
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