
Holiday Robotics builds manipulation-focused humanoid robots that enable precise object handling for research and industrial applications. The company combines a highly dexterous robotic hand with…

Holiday Robotics builds manipulation-focused humanoid robots that enable precise object handling for research and industrial applications. The company combines a highly dexterous robotic hand with…
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Holiday Robotics is building a programmable simulation platform for humanoid robot learning. We are looking for an engineer who can design and implement the infrastructure for generating simulation-ready assets, randomized scenes, robot learning tasks, domain randomization configs, and evaluation pipelines.
You will build typed schemas, APIs, CLIs, and tool interfaces that allow researchers to compose, run, evaluate, and iterate simulation experiments. The ideal candidate has strong software engineering skills, experience with robotics simulation or RL environments, and interest in building developer tools for physical AI.
Key areas include task generation, USD asset pipelines, procedural scene generation, domain randomization, rollout evaluation, and LLM-agent tool interfaces.
Required Qualifications
Strong software engineering skills.
Experience building robotics simulation systems or robot learning environments.
Experience with at least one of: Isaac Sim, Isaac Lab, MuJoCo, Genesis, Brax, Newton, Warp, PyBullet, or similar simulators.
Understanding of RL environment structure.
Ability to design clean, reusable APIs, CLIs, and internal developer tools.
Interest in building tools that robotics researchers and engineers can use every day.
Preferred Qualifications
Experience with humanoids, quadrupeds, robotic hands, manipulation, or contact-rich robot learning.
Experience with domain randomization and procedural scene generation.
Experience with mesh processing, collision geometry, convex decomposition, SDF generation, or asset validation.
Experience with Warp, CUDA, GPU simulation, or massively parallel simulation environments.
Required Materials
Resume or CV
Portfolio, GitHub, project links, or publications, if available
How We Work
Small, Elite Team: As headcount grows, communication costs rise and talent density can dilute. We hire selectively, trust deeply, and maintain a structure where each person has a decisive impact on the company.
Flat by Default: We introduce hierarchy only when safety or clear accountability requires it. Everyone is an Individual Contributor first. People are respected for their judgment, not their title.
Ownership Over Process: Process is a means, not an end. We take full ownership of outcomes and remove obstacles ourselves. No one waits to be told what to do.
Aggressive Timelines: Until our robots work in real-world environments, nothing has been proven. The fastest way to learn is to deploy.
Radical Transparency: We share the company’s direction, strategy, and numbers with the entire team.
Engineering First: The robots we build are the standard for everything we do. Hiring, sales, and marketing all exist to help us bring better robots into the world faster.
We Commit To
Building the journey from the lab to the real world together: No one has yet successfully deployed general-purpose humanoids that can replace human physical labor in real industrial settings. This team is writing the very first page of that story.
Treating you like an investor: You will have a voice in the company’s direction and strategy. We share success together, and we do not hide information.
Growing Holiday by growing you: We invest in people. As your role expands, so will your responsibilities — along with the opportunities and rewards that match them.
Experience with LLM tool calling, MCP servers, LangGraph, agent frameworks, or structured-output validation.
Experience with robotics algorithms and optimization-based methods, including motion planning, trajectory optimization, or model predictive control.