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 TPM for our Forward Deployment team, you will lead customer engagements from initial scoping through successful deployment. You'll coordinate technical teams, manage customer relationships, and ensure our solutions deliver measurable value.

What You'll Do

Lead end-to-end customer deployment projects from scoping to handoff
Coordinate cross-functional teams including solution engineers and robotics specialists
Manage customer expectations, timelines, and success criteria
Identify opportunities to productize custom solutions
Build processes that scale as we grow our deployment operations

What You'll Bring

5+ years in technical program management, solutions engineering, or customer success
Experience with customer-facing technical deployments
Technical depth to understand robotics, ML, and simulation systems
Strong project management and stakeholder communication skills
Comfort with ambiguity and rapidly evolving requirements

Nice to Have

Background in robotics, automation, or industrial systems
Experience at professional services or consulting organizations
Familiarity with enterprise software deployment

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 Program Manager - Solutions

About the job