Milpitas, CA
2 months ago

Job Overview

Job Type
FullTime
Pay
Not disclosed

Job description

Location:
Milpitas, CA, United States
Work arrangement:
On-site

Role Summary

Why RoboForce

RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.

We are seeking a Senior Mechanical Engineer to design, develop, and refine mechanical systems and components for cutting-edge robotic products. You will collaborate with multidisciplinary teams to create reliable and high-performance robotic solutions. This role offers an opportunity to push the boundaries of robotics technology while working on projects with real-world applications.

Responsibilities

  • Design and develop mechanical systems for AI robots.
  • Collaborate with cross-functional teams to integrate mechanical, electrical, and software components.
  • Conduct feasibility studies and simulations to evaluate designs.
  • Create engineering drawings, specifications, and documentation for manufacturing.
  • Work closely with vendors to design and develop various modules.
  • Perform prototype fabrication, testing, and validation to meet performance, reliability, and safety standards.

Requirements

  • Master's degree or PhD in Mechanical Engineering, Robotics, or related field.
  • 5+ years of experience in mechanical design, preferably in robotics or automation.
  • Proficient in CAD software (e.g., SolidWorks, AutoCAD).
  • Strong understanding of materials, manufacturing processes, and mechanical systems.
  • Experience with FEA and other simulation tools.
  • Proven track record of leading projects from concept to production.
  • Excellent problem-solving, communication, and collaboration skills.
  • Requires 5 days/week in-office collaboration with the teams.

Bonus Qualifications

  • Experience with robotics, mechatronics, or automation.
  • Familiarity with actuators, sensors, and control systems.
  • Rapid prototyping techniques.
  • Knowledge of regulatory compliance and safety standards in robotics.

Benefits

  • Competitive stock options/equity programs.
  • Health, dental, and vision insurance, 401(k) plan.
  • Visa sponsorship and green card support for qualified candidates.
  • Lunches and dinners, a fully stocked kitchen, and regular team-building events.

About the Company

ABOUT MOONLAKE

Moonlake is building the frontier of interactive world models: systems that generate, simulate, and reason over 3D environments for embodied AI, robotics and gaming. We develop the simulation infrastructure to build worlds (e.g., assets, scenes, digital twins) at scale.

Our team sits at the intersection of

Moonlake is building the next generation of AI infrastructure for interactive digital worlds. Our mission is to enable anyone to create, simulate, and interact with rich environments using natural language and multimodal inputs, turning simple ideas into worlds with structure, logic, and agents that can perceive and act.

Our team has raised $28M in seed funding from NVIDIA Ventures, Threshold Ventures, AIX ventures and notable angels including Naval Ravikant and Jeff Dean to build the foundational layer for the future of AI - powering everything from creative tools and games to robotics training, simulations, and digital twins. Our goal is to make building and experimenting with these environments as accessible and scalable as publishing video on the internet.

We are looking for exceptional research engineers and applied researchers to help push the frontier of interactive AI.

Embodied AI

Robotics simulation

Interactive 3D worlds

World models

Real-time generation

AI infrastructure

Role:
Senior Mechanical Engineer
Job Type:
FullTime

Company profile

embedding-vc

embedding.vc

Embedding VC is a venture capital firm that backs engineering, product and research founders building in AI. It runs a Founder-in-Residence program in which founders start a company with Embedding VC as their earliest partner, working in a hybrid, founder-led environment with access to a network of technical advisors and investors in the AI ecosystem.

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