HPE Labs - Postdoctoral Research Scientist

HPE • Milpitas, CA

3d • $99,320 - $149,760 • Onsite

About The Position

The Large-Scale Integrated Photonics Lab (LSIP) at HPE Labs is currently seeking a highly qualified, self-motivated and post-doc to accelerate research towards new applications, core methodologies and technologies. HPE Labs is an international research organization with its headquarters and largest facility located in Milpitas, California. As the central research organization for Hewlett Packard Enterprise (HPE), HPE Labs' purpose is to deliver breakthrough technologies and technology advancements that provide a competitive advantage for the company, by investing in fundamental science and technology in areas of interest to HPE and getting the resulting technologies ready for adoption into new and existing markets. LSIP is a world-renowned research team producing outstanding research in nanophotonics and quantum optics, with recent publications in Nature, Nature Photonics, Physical Review Letters, Optics Letters, and Optics Express. Our program is well-funded internally and has an impressive record of attracting significant government funding. Our team members have enjoyed exceptional success in launching scientific and engineering careers in both industrial and academic settings. In addition, our regular research positions offer competitive salaries and benefits for qualified candidates. We expect all our researchers (including interns and post-docs) to provide thought leadership and technical influence both internally and externally to HPE, as well as take innovative ideas and make them real – contributing along the full range from initial novel ideas to design, development, implementation, evaluation, and technology transfer. The ideal candidate can thrive in an applied research environment, balancing significant technical and scientific contributions with the ability to bring such contributions to practice through innovative solutions that address the needs of our customers and partners. We expect the successful candidate to collaborate with HPE Labs research teams as well as with external partners, and to work in alignment with HPE's broader innovation community.

Requirements

• Ph.D. in Computer Engineering, Electrical Engineering, or a closely related field.
• Demonstrated expertise in architectural simulation frameworks, specifically hands-on experience with at least one major simulator (e.g., SST, gem5).
• Proven research experience in modeling and evaluating non-conventional accelerators.
• Strong publication record in relevant venues: ISCA, MLSys, CGO, ASPLOS, IEEE/ACM Micro, HPCA, DAC, ICCAD, DATE, IEEE TC, IEEE TCAD, ACM TACO, IEEE Micro, Nature Electronics, NPJ Unconventional Computing.
• Proficiency in Python and C/C++.
• Experience using generative AI tools (e.g., Claude) within development environments such as VSCode.

Nice To Haves

• Background in integrated photonics, optical computing, or optical interconnects.
• Familiarity with machine learning algorithms, especially their mapping and performance characteristics on non‑conventional accelerator architectures.
• Knowledge of performance modeling, workload characterization, and accelerator benchmarking.
• Ability to work independently while contributing effectively to collaborative research teams.
• Strong communication skills for presenting complex technical concepts to diverse audiences.

Responsibilities

• Conduct advanced research on optical accelerators using state‑of‑the‑art architectural simulation frameworks, including component‑level, system‑level, and multi‑tile modeling.
• Develop, refine, and rigorously validate end‑to‑end simulation models for emerging optical accelerator architectures.
• Analyze, benchmark, and characterize machine learning workloads on these architectures, identifying performance bottlenecks, scalability limits, energy‑efficiency trade‑offs, and opportunities for architectural innovation.
• Collaborate with multidisciplinary teams working in integrated photonics and emerging accelerators.
• Produce high‑quality research outputs, including peer‑reviewed publications, technical reports, and conference presentations for leading venues.

Benefits

• Health & Wellbeing
• Personal & Professional Development
• Unconditional Inclusion

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree