Systems Engineer (AI)

Location: Hybrid at the Palo Alto HQ, United States

Salary: $190,000–$250,000 per year

Company

hirify.global builds operator intelligence infrastructure that combines machine learning with classical numerical methods for physics simulation and hardware design validation.

What you will do

• Design and build runtime evaluation mechanisms for simulation systems.
• Develop data-driven validation arguments for simulation quality and reliability.
• Evaluate machine-learning and solver solutions across realistic production workloads.
• Work with software engineers to implement evaluation designs and demonstrate their validity.
• Collaborate with physicists, AI researchers, software engineers, and computational geometry experts.
• Analyze large simulation runs to identify rare production failures and validation issues.

Requirements

• Prior experience using or building physics simulators, including FEM, FEA, Molecular Dynamics, or FDTD.
• Experience as a systems engineer in a production software environment.
• Understanding of solver mechanisms, numerical optimization, convergence criteria, and damping approaches.
• Working knowledge of machine-learning fundamentals, including backpropagation, loss functions, generators, embeddings, and transformer models.
• Understanding of statistics and data science methods, including confidence intervals, uncertainty quantification, and Bayesian methods.
• Knowledge of software engineering fundamentals, CI, regression testing, validation discipline, and technical documentation.

Nice to have

• Experience in robotics, chip manufacturing, or aerospace.
• Experience using simulation for design or data generation.
• Experience validating production machine-learning systems.
• Experience delivering software solutions under time constraints.

Culture & Benefits

• Early-stage startup environment with a foundational product already deployed in production.
• Opportunity to become the first Systems Engineer and build a systems engineering practice and team.
• Work on physics simulation technology serving Tier-1 semiconductor and hardware customers.
• Collaboration with technical leaders across physics, machine learning, software engineering, and computational geometry.