About the Role

Join an early-stage, venture-backed AI startup reimagining computer-aided engineering (CAE) for the AI era. As an AI/ML Engineer, you'll shape the future of engineering automation by building AI that thinks like an engineer — designing, training, and deploying models that accelerate simulation, improve accuracy, and unlock entirely new ways of exploring the design space. From adaptive solvers and reduced-order modeling to generative design and real-time validation, your work will push the boundaries of what CAE can achieve.

You'll collaborate closely with experts in applied AI and mechanical engineering, integrating machine learning directly into high-fidelity simulation pipelines to help customers iterate faster, diagnose failures earlier, and bring better products to market. This is a rare opportunity to join early and make a foundational impact.

What You'll Do

Research, design, and develop AI/ML algorithms to tackle complex challenges in simulation, design automation, and computer-aided engineering.

Build scalable AI solutions and collaborate with cross-functional teams to integrate models seamlessly into existing CAE workflows and infrastructure.

Lead performance improvements — from optimizing model accuracy to analyzing outputs and addressing system-level bottlenecks.

Guide AI/ML projects from research through to production deployment.

Contribute to MLOps practices and help build robust, end-to-end AI/ML systems.

What We're Looking For

Required

4+ years of experience developing and deploying AI/ML models with a proven track record of delivering impact in applied engineering or scientific domains.

2+ years of technical leadership guiding AI/ML projects from research to production.

Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, JAX, TensorFlow).

Experience with AI/ML algorithms for sequential, spatial, or physics-informed data (e.g., time series, mesh data, or simulation outputs).

Familiarity with MLOps practices and building AI/ML systems end-to-end, from prototyping to scalable deployment.

Strong understanding of engineering principles in simulation, modeling, and optimization.

Bachelor's or advanced degree in Computer Science, Mechanical Engineering, Electrical Engineering, or a related field.

Nice to Have

Experience with CAE, CAD, and/or PLM tools (e.g., Ansys, Abaqus, COMSOL, SolidWorks, NX).

Experience in a fast-paced startup environment.

Compensation & Benefits

Salary: $150,000 – $250,000 USD annually

Visa sponsorship available

Location

On-site in San Francisco, CA, United States. Candidates must be available to work from the San Francisco office.