Hewlett Packard Labs - Software Engineer - Generative AI - Early Career

Hewlett Packard Labs - Software Engineer - Generative AI - Early Career

  

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2-3 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know diverse backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

   

HPE 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.  

As a Software Engineer focused on Generative AI, you will play a pivotal role in developing and refining AI models that can generate text, images, audio, or other types of symbolic, numerical, graphical, and scientific contents. You will work closely with a multidisciplinary team of engineers, researchers, and product managers, during full development cycles of pre-training, fine-tuning and inference to build efficient and innovative GenAI systems that are inspired by novel statistical physics models.

Required skills and experiences: 

• Master's degree in Computer Science, AI, Machine Learning, Physics, Mathematics, or other related fields. 
• 1 to 5 years relevant professional experience.
• Proven experience in software development with a strong background in algorithms, data structures, and object-oriented programming. 
• Hands-on experience with AI and machine learning, particularly in developing and deploying generative models. 
• 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. 

Desired skills and experiences:  

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Physics, Electrical Engineering, Mathematics, or other related fields. 
• 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.

Join us and make your mark!

We offer:
• A competitive salary and extensive social benefits
• Diverse and dynamic work environment
• Work-life balance and support for career development
• An amazing life inside the element! Want to know more about it?
Then let’s stay connected!
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