About Us:Hewlett Packard Enterprise (HPE) is leading the charge in reshaping the future with cutting-edge technologies at the edge of AI, machine learning, and high-performance computing. We empower businesses around the globe to unlock the full potential of their data—from edge to cloud—helping them take real-time action on insights and drive business outcomes. At HPE, we believe in advancing together and taking bold steps to impact the world positively. If you're ready to push the boundaries of what's possible and grow in a dynamic environment, HPE is the place for you.
The Role:Hewlett Packard Labs is at the forefront of AI innovations, and we’re excited to invite a talented Software Engineer to join our Physics-Based GenAI Team. Here, you will help revolutionize the way we develop generative AI models that blend the power of symbolic AI, physics, and deep learning. Our goal is to push the limits of what AI can do, from generating text, images, and audio, to complex reasoning using physics-inspired models. In this early career role, you will work on the full development cycle of groundbreaking generative AI models, shaping the future of high-performance AI.
What You’ll Do:
- Develop Generative AI Models: Work alongside a diverse team of engineers and researchers to build and refine AI models capable of generating symbolic, graphical, scientific, and multimodal content.
- Collaborate on Full AI Lifecycles: Contribute to pre-training, fine-tuning, and inference, all while incorporating novel models inspired by statistical physics.
- Innovate with Multidisciplinary Concepts: Use your expertise in machine learning and physics to create AI systems that can reason reliably and interpret complex datasets.
- Iterate & Solve Challenges: Apply your creativity and analytical skills to solve some of the world’s most complex problems in AI, with real-world applications in fields like material science and quantum computing.
Required Qualifications:
- PhD in Computer Science, AI, Machine Learning, Physics, or related fields.
- 1-5 years of professional experience in AI/ML, particularly with generative models.
- 3+ years of hands-on experience working with AI frameworks like TensorFlow or PyTorch.
- Proficiency in Python and C/C++, and experience with data structures and algorithms.
- Solid understanding of deep learning, neural networks, and generative models.
- Strong problem-solving skills and a creative, iterative mindset to tackle complex problems.
- Excellent communication skills to collaborate across multidisciplinary teams and convey technical details to non-technical partners.
Desired Qualifications:
- Experience with HPC programming environments and cloud platforms (e.g., AWS, Azure).
- Familiarity with combinatorial optimization and its application in AI/ML.
- Background in computational physics and using physical principles to enhance ML models.
- Contributions to open-source AI/ML projects or relevant publications.
- Experience with containerization and orchestration technologies.
What We Offer:
- Competitive salary range: $117,500 - $270,000 per year.
- Hybrid work model: Enjoy flexibility with 2-3 days per week in the office.
- Comprehensive benefits: Health & wellbeing support, career development, and work-life balance.
- Inclusive culture: We embrace diversity, celebrate individual uniqueness, and foster an inclusive environment where everyone can thrive.
- Career growth: Access to programs and resources to help you develop and achieve your career goals, whether within your team or across divisions.
Why HPE?At HPE, we believe in finding better ways to do what’s next. With an emphasis on teamwork, collaboration, and continual learning, we offer a dynamic environment where you can make a difference, innovate, and grow. You’ll be part of a company that’s leading in AI, and you’ll work with brilliant minds from diverse backgrounds to develop the technologies that will shape the future.
