Thermal Simulation Engineer (AI Hardware)

Location

Location: Palo Alto, CA, hybrid work 2–3 days a week in person

Company

hirify.global builds an AI assistant for hardware design integrating advanced AI with engineering workflows to optimize thermal and mechanical simulations.

What you will do

• Validate new solvers and methods against competitor FEA tools and measured data for conduction, convection, and thermoelastic stress.
• Generate and curate training data sets for model training including geometry, materials, and boundary conditions.
• Serve as a heavy internal user to identify bugs and workflow issues in real hardware packages and boards.
• Run customer cases end to end, interpret results, and present findings to thermal engineers and leadership.
• Support customer onboarding, training, and technical questions.
• Develop internal tooling and prototypes using scripting and AI coding assistants.
• Translate simulation results into presentations and reports for engineering leadership.
• Provide feedback to research and product teams for feature development based on field observations.

Requirements

• Location: Must be able to work hybrid from Palo Alto HQ 2–3 days per week.
• BS or higher in mechanical, electrical, aerospace engineering or related technical field.
• 3+ years experience in thermal or simulation engineering including CFD/FEA tools like Ansys Icepak, Flotherm, Fluent, COMSOL.
• Strong knowledge of meshing strategies and ability to evaluate mesh quality.
• Ability to reason from first principles to diagnose simulation results.
• CAD fluency for mechanical, ECAD, or package layout geometry.
• Strong communication skills to explain technical results to engineers and executives.
• Coding experience in Python or similar scripting languages.

Nice to have

• 10+ years thermal engineering experience with shipped hardware.
• Experience in semiconductor packaging, high power-density electronics, and advanced cooling methods.
• Customer-facing experience including demos, training, and presentations.
• Experience building or validating solvers.
• Comfort working in Linux environments with GPU/HPC job submission and version control.

Culture & Benefits

• Work in a cutting-edge AI hardware startup environment.
• Hybrid work model with office near Caltrain station in Palo Alto.
• Occasional travel for customer and team engagements.
• Close collaboration with researchers and GPU kernel engineers.