About the job
Be a Part of Shaping the Future of Physical AI
At FortyFive, we are at the forefront of developing simulation infrastructure for physical AI. Our cutting-edge tools powered by Generative AI empower robotics teams to generate vast and diverse training data along with realistic evaluation environments. Our origins trace back to MIT CSAIL, where we innovated techniques that trained robots using solely synthetic data. We are dedicated to facilitating the transition of robotics companies to AI-native development workflows.
Our compact team comprises researchers and engineers from prestigious organizations such as DeepMind, OpenAI, and FAIR, alongside graduates from elite institutions like MIT, Berkeley, Caltech, Harvard, and Yale. Our accolades include publishing award-winning papers at leading robotics conferences, winning International Olympiad medals, and developing essential systems at top AI laboratories. We are committed to constructing complex systems that simplify operations for our clients.
Global Collaboration: We work harmoniously across US and China time zones. We highly value individuals who communicate proactively, document their processes thoroughly, and take ownership of seamless transitions across teams.
Your Role and Responsibilities
As the Tech Lead for our Product team, you will be responsible for architecting and overseeing the development of our Generative AI-powered simulation and visualization platform. You will make pivotal technical decisions, mentor engineers, and ensure the systems we build are scalable.
Your Contributions
Lead the technical architecture for simulation and visualization products.
Make informed build-vs-buy decisions and select appropriate technologies.
Mentor and develop a team of graphics and simulation engineers.
Drive the machine learning solution architecture that connects research with product implementation.
Engage in hands-on coding for critical systems and complex integrations.
What We Look For
A minimum of 7 years of software engineering experience, with at least 2 years in a technical leadership role.
Strong product intuition with an understanding of what makes tools user-friendly.
Experience with 3D graphics, game engines, or simulation systems.
Robust foundational knowledge in machine learning; ability to integrate ML models into products.
Exceptional communication skills with the ability to articulate technical concepts clearly.
Preferred Qualifications
Experience in game studios, simulation companies, or graphics vendors.
Background in robotics visualization or digital twins.
Familiarity with MuJoCo, Isaac Sim, or physics engines.
We believe diverse teams foster innovative products. Even if you don’t meet every single requirement, we encourage you to apply if you are passionate about this role and our mission.

