Thermal Science Research Engineer Graduate

Role and Responsibilities

Recent technology advances in generative AI and other cutting-edge workflows have led to sharp increases in energy consumption within systems and data centers. At Hewlett Packard Labs, our research team is inventing and developing the technologies for future system architectures to enable systems and applications of the future. The Hewlett Packard Labs research team is unique in the world, in that it focuses on all levels of the architectural stack from core technologies and infrastructure to applications, and many layers in between. We offer the opportunity to do cutting edge research in a multi-disciplinary team and see it become real.

We are looking for candidates with a PhD (or equivalent) in mechanical or chemical engineering with expertise in direct two-phase liquid cooling, who are interested in a researcher and/or advanced development position. We expect candidates to have demonstrated the ability to frame, execute, and communicate research, for example, via papers published in top-tier conferences or journals, patents, as well as build substantial artifacts that validate their research. We value the ability to work independently and in teams, excellent verbal and written communication skills, thermal sciences and engineering background, and the desire to learn new techniques to solve problems. Laboratory and simulation skills are a significant plus.

Primary areas of focus will be in a) direct liquid cooling two-phase heat transfer within high performance systems; b) fluid delivery mechanisms; c) fluid chemistry and characterization; and d) simulation of two-phase heat transfer and fluid flow. Specific activities will include:

• Design and performance evaluation of two-phase heat transfer components including evaporators, heat exchangers and fluid delivery devices.
• Working fluid design including prevention of bio-growth and corrosion.
• Simulation of nucleate boiling, evaporative spray cooling and liquid loops.
• Data center thermal characterization.
• Physical laboratory equipment operation.

Job Responsibilities

• Participates as a member of a research team focused on the design, implementation and analysis of new system thermal architectures to support the creation of new products and intellectual property.
• Help in the creation of research plans, investigative procedures, and collection and analysis guidelines for the target investigation. Collaborate with internal and external partners to perform experiments and validations in accordance with the overall research plan.
• Participating in the design and implementation of system prototypes that are best suited for certain customer-driven requirements.
• Interacting with other teams who are developing adjacent hardware, firmware, software, mechanical, and thermal features that target these future data center systems.
• Communicate results and conclusions to team members for review and feedback.
• Prepare literature and presentations for peer review, publication, and delivery at industry and scientific events and conferences.
• Create patent applications and supporting documentation.
• Drive innovation and integration of new technologies and practices into research and product development organizations.
• Provide guidance and mentoring to less experienced staff members.

Education and Experience

• PhD degree (or foreign equivalent) in Mechanical (thermal) or Chemical Engineering.
• BS (or foreign equivalent) in Mechanical Engineering
• Proven capability to define and execute a research agenda.
• Proven capability to effectively work in a team-based environment.

Knowledge and Skills

• Familiarity with simulation tools, such as CFD, flow-network tools, complex-system tools (e.g. Modelica), etc.
• Familiarity with modelling techniques and performance evaluation
• Familiarity with two-phase heat transfer fluids and components
• Experience with working in a physical laboratory environment and with thermo-fluidic characterization equipment
• Excellent written and verbal English communication skills.
• Familiarity and experience with developing and utilizing AI models is a plus.
• Demonstrated ability to work constructively in an open-source community is a plus.
• Broad familiarity with computer system hardware architecture is a plus.