Join Us in Building the Future of Physical AI

We build the simulation infrastructure for physical AI. We develop GenAI-powered tools that enable robotics teams to create unlimited, diverse training data and realistic evaluation environments. Our team spun out of MIT CSAIL, where we pioneered techniques that trained robots using only synthetic data. We're helping robotics companies transition to AI-native development workflows.

We're a lean team of researchers and engineers from DeepMind, OpenAI, FAIR, and top universities including MIT, Berkeley, Caltech, Harvard, and Yale. We've published best papers at top robotics conferences, won International Olympiad medals, and built core systems at leading AI labs. We believe in building complex systems that bring simplicity to our customers.

Global Team: We operate across US and China time zones. We value people who communicate proactively, document thoroughly, and take ownership of smooth handoffs across teams.

What to Expect

As Tech Lead for our Product team, you will architect and lead development of our GenAI-powered simulation and visualization platform. You'll make critical technical decisions, mentor engineers, and ensure we're building systems that scale.

What You'll Do

Lead technical architecture for simulation and visualization products
Make build-vs-buy decisions and technology selection
Mentor and grow a team of graphics and simulation engineers
Drive ML solution architecture that bridges research and product
Hands-on coding for critical systems and complex integrations

What You'll Bring

7+ years of software engineering with 2+ years in technical leadership
Deep product intuition—you understand what makes tools usable
Experience with 3D graphics, game engines, or simulation systems
Strong ML fundamentals; ability to integrate ML models into products
Excellent communication and ability to translate technical concepts

Nice to Have

Experience at 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 build better products. Even if you don't meet every requirement listed, we encourage you to apply if you're excited about this role and our mission.

About the company

FortyFive Labs builds simulation infrastructure for physical AI to help robotics teams generate diverse training data and realistic evaluation environments. Its cloud-based Vuer-Hub Platform hosts and lets users interact with simulated robotics worlds, while the Vuer Python SDK streams simulation components on demand. It is developing a virtual-to-real (V2R) pipeline and an AI-powered world-builder called LucidSim to translate symbolic simulations into photoreal data and reusable environments. The goal is to make AI models safer and more capable by providing better data, accurate physics, and verifiable simulations through an integrated AI-native toolchain.

Company Size

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Company Stage

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Total Funding

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Headquarters

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Founded

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Simplify's Take

What believers are saying

Vuer Hub launched production hosting and environment registry in June 2026.
FortyFive publicly recruited engineers in July 2026, signaling active product expansion.
Nebius recognized FortyFive in September 2025, validating investor and technical credibility.

What critics are saying

No disclosed funding or scale means runway risk stays opaque into 2026.
Open-source simulators from NVIDIA, MuJoCo, and Habitat-Sim compress pricing and adoption.
If Vuer Hub stays niche, FortyFive loses before enterprise robotics budgets scale.

What makes FortyFive Labs unique

MIT CSAIL spinout FortyFive combines simulation, synthetic data, and robotics workflows.
Vuer Hub lists MuJoCo, Isaac Gym, Habitat-Sim, and PyBullet in production.
LucidSim targets photorealistic training data from symbolic simulations, a rare full-stack approach.

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FortyFive Labs

Technical Lead - Product

About the job