HPE Labs

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

Overview

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. Our culture values varied backgrounds and supports flexibility to manage work and personal needs. We aim to accelerate what’s next and invite you to stretch and grow your career with HPE.

Lead Role

The Large-Scale Integrated Photonics Lab (LSIP) at HPE Labs is seeking a postdoctoral researcher to accelerate research towards new applications, core methodologies, and technologies. The LSIP Lab pioneers next-generation optical, analog electronic, and quantum computing systems, bridging fundamental science with real-world adoption.

Role Overview

We are seeking a postdoctoral researcher to define and execute an ambitious research agenda at the intersection of generative AI and algorithm-hardware co-design for next-generation photonic and analog electronic design automation (EDA). You will explore, develop, and validate AI-assisted methodologies that accelerate the design, optimization, and verification of optical and analog electronic accelerators. You’ll collaborate with a multidisciplinary team to drive high-impact results that can translate into products, publications, and patents.

We expect researchers to provide thought leadership and technical influence internally and externally to HPE, and to contribute ideas from conception to design, development, implementation, evaluation, and technology transfer. The ideal candidate thrives in an applied research environment and collaborates with HPE Labs teams and external partners to align with HPE’s broader innovation community.

What You’ll Do

• Conduct research on applying modern generative AI tools to photonic and analog EDA problems (inverse design, surrogate modeling, constraint-aware optimization, layout generation, verification).
• Advance algorithm-hardware co-design for analog accelerators (optical, in-memory, neuromorphic) using performance- and physics-aware system models.
• Prototype tools, build reproducible pipelines, and benchmark against state-of-the-art methods.
• Publish and disseminate results at top venues, contribute to patents and internal technology transfers.
• Collaborate with fabrication and experimental teams to validate models on real hardware and datasets.

Minimum Qualifications

• PhD in Electrical Engineering, Photonics, Computer Science, Applied Mathematics, Physics, or a closely related field.
• Demonstrated enthusiasm for generative AI research, especially its application to optical/analog electronic design automation.
• Strong publication track record in relevant areas.
• Ability to work independently and collaboratively in multidisciplinary environments.
• Excellent English written and verbal communication skills.

Preferred Qualifications

• Python proficiency and experience with PyTorch, JAX, or TensorFlow.
• Broad knowledge of modern ML and optimization methods (gradient-based, evolutionary, Bayesian, reinforcement learning).
• Hands-on experience with generative architectures (diffusion, flow-based, and large language models) including training, conditioning, and evaluation.
• Strong analytical, numerical, and modeling skills (physics-informed ML, surrogate modeling, PDE/ODE solvers, Monte Carlo methods).
• Working knowledge of optical, analog in-memory, or neuromorphic computing.
• Experience with algorithm–hardware co-design (co-optimization of architectures, algorithms, and physical constraints).

Additional Skills

Accountability, planning, active learning, communication, critical thinking, design thinking, collaboration, and growth mindset – among others listed in the original description.

What We Can Offer You

Benefits and Inclusion

Health & wellbeing and personal & professional development programs, plus a commitment to unconditional inclusion and flexible work arrangements. We celebrate individual uniqueness and strive to attract a diverse, global team.

EEO Statement

HPE is an Equal Employment Opportunity/Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category. Our goal is to be a single global team representative of our customers, in an inclusive environment where we can innovate and grow together.

Hewlett Packard Enterprise is EEO Protected Veteran/Individual with Disabilities. We comply with laws related to employer use of arrest and conviction records where applicable.

No Fees Notice & Recruitment Fraud Disclaimer: No fees are charged by HPE or its recruitment partners in connection with our recruitment process. Be cautious