---
title: 'Member of Technical Staff - Robotics & Simulation at Embedding VC'
canonical: 'https://feeny.ai/job/member-of-technical-staff-robotics-simulation-embedding-vc-san-francisco-ksfag9kce6f6'
type: 'job'
last_seen: '2026-09-09'
---

# Member of Technical Staff - Robotics & Simulation at Embedding VC

- **Company:** Embedding VC
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-27
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/embedding-vc/9fbbfbd3-40e9-4bcb-8a1e-069ba4c5e2fe

## Job description

Introducing Moonlake, AI for creating world simulations.

## ABOUT MOONLAKE

Moonlake is building the frontier of AI-powered world simulation.

We create systems that generate, simulate, and reason over rich 3D environments for robotics, embodied AI, and interactive applications. Our platform enables the creation of digital worlds, synthetic environments, and scalable simulation infrastructure used to train the next generation of intelligent systems.

Our work sits at the intersection of:

- Robotics
- Physical AI
- World Models
- Simulation Infrastructure
- Synthetic Data Generation
- Embodied Intelligence

Moonlake has raised $28M in seed funding from NVIDIA Ventures, Threshold Ventures, AIX Ventures, and notable angels including Naval Ravikant and Jeff Dean.

Our mission is to build the foundational infrastructure that enables robots to learn, reason, and operate effectively in the physical world.

## THE ROLE

We are looking for a Member of Technical Staff – Robotics to help build the bridge between simulation, world models, and real-world robotic systems.

This role spans the full robotics stack—from evaluating foundation models and policies in simulation, to training world models, to deploying and operating physical robots. You will work closely with researchers and engineers developing next-generation simulation environments and AI systems, while ensuring those capabilities transfer successfully into real-world robotic platforms.

This is a highly hands-on role combining robotics engineering, machine learning, simulation, and hardware deployment.

## WHAT YOU'LL DO

## EVALUATE ROBOT FOUNDATION MODELS & POLICIES

- Benchmark and evaluate robot foundation models in simulated environments
- Design evaluation frameworks for robotic reasoning, planning, manipulation, and navigation
- Measure generalization, robustness, and task performance across diverse scenarios
- Build infrastructure for large-scale simulation-based testing and validation

## TRAIN WORLD MODELS FOR ROBOTICS

- Develop and train world models that enable robots to understand and predict environment dynamics
- Build systems that learn from multimodal robot data including vision, depth, state, and actions
- Improve environment understanding, forecasting, and decision-making capabilities
- Work closely with simulation and AI teams to advance robotic world modeling systems

## BUILD REAL-WORLD ROBOT LEARNING PIPELINES

- Collect and curate real-world robotics datasets
- Train and fine-tune models using both simulated and physical robot data
- Improve sim-to-real transfer for robotic policies and world models
- Develop workflows connecting simulation, training infrastructure, and deployed robotic systems

## DEPLOY AND OPERATE PHYSICAL ROBOTS

- Set up, integrate, and maintain robotic hardware platforms
- Bring learned policies and world models onto real robotic systems
- Debug hardware, software, sensing, and control issues
- Develop deployment pipelines for testing, validation, and continuous improvement
- Work directly with robotic manipulators, mobile robots, sensors, and compute systems

## AREAS OF FOCUS

## ROBOT FOUNDATION MODELS

- Policy evaluation
- Model benchmarking
- Simulation-based testing
- Generalization analysis
- Performance measurement

## WORLD MODELS

- Environment modeling
- Predictive systems
- Representation learning
- Multimodal learning
- Model-based reasoning

## SIMULATION

- Robotics simulators
- Digital twins
- Synthetic environments
- Sim-to-real transfer
- Evaluation infrastructure

## ROBOTICS SYSTEMS

- Robot setup and integration
- Sensors and perception systems
- Robot control
- Hardware debugging
- Deployment workflows

## WHAT WE'RE LOOKING FOR

- Strong background in robotics, embodied AI, machine learning, or related fields
- Experience working with physical robotic systems
- Experience with robotic simulation platforms such as Isaac Sim, MuJoCo, Habitat, Gazebo, or similar
- Familiarity with robot learning, foundation models, or world models
- Strong software engineering skills in Python and robotics tooling
- Experience deploying software onto real robotic hardware
- Ability to debug across hardware, software, and machine learning systems
- Comfort working in a fast-moving research and engineering environment

## WHY THIS ROLE MATTERS

Moonlake's vision extends beyond simulation. We believe the future of robotics will be powered by world models that can learn in simulation and transfer seamlessly to the physical world.

This role sits at the center of that mission. You will help evaluate robotic intelligence in simulation, train the models that power robotic understanding, and deploy those systems onto real robots operating in the physical world.

Your work will directly shape how future robotic systems learn, reason, and act.

We are committed to being an on-site, in-person team currently based in San Francisco.

## About Embedding VC

## Company Overview
- **One-liner**: Embedding VC is an early-stage venture capital firm investing in Generative AI startups, backing engineering, product, and research visionaries.
- **Entity Type**: Private (Venture Capital Firm)
- **Headquarters**: Menlo Park, California, United States
- **Founded**: 2023
- **Founders**: Roger Luo (Founder & Managing Partner)

## Core Business
- Primary industry/industries: Venture Capital, Private Equity, Artificial Intelligence
- Target customers: Early-stage Generative AI startups (Seed and Series A)
- Mission or purpose statement: To back engineering, product, and research visionaries in the mission to develop AGI, believing they are at the onset of a new computing super cycle driven by AI innovations.

## Products & Services
- **Venture Capital Investments**: Early-stage (Seed and Series A) investments in Generative AI startups. Focus areas include AI-first applications, middleware for Gen AI, and AI + game + social.
- **Portfolio Support**: Provides capital and strategic support to portfolio companies, leveraging a network of investors who are current and former builders and operators.

## Market Standing
- **Valuation/Market Cap**: Not applicable (Venture Capital firm)
- **Key Metric**: Total Funding Deployed: Not publicly disclosed. The firm has made 6 investments as of early 2026, with 5 new investments in the last 12 months.
- **Notable Investors/Partners**: The firm's investors are current and former builders and operators. Co-investors include Long Journey Ventures, Mayfield, Correlation Ventures, 468 Capital, NFX, and Menlo Ventures.
- **Growth Signals**: Active job postings (37 as of mid-2026), with a monthly growth in postings of +5.7% and quarterly growth of +48.0%. The firm's website traffic has grown +231.9% monthly. The firm has made 5 new investments in the last 12 months, including a Series A round in Entelligence in January 2026.

## Competitive Advantages
- **Founder-Operator Network**: All investors in the fund are current and former builders and operators, providing deep, hands-on expertise to portfolio companies.
- **Niche Focus**: Dedicated exclusively to early-stage Generative AI, a high-growth, cutting-edge sector, allowing for deep specialization and a strong network within the AI ecosystem.
- **Strong Portfolio**: Investments in notable AI startups like Flora (AI-powered smart glasses, $52M raised), Omi (AI personal story recording), and Entelligence (AI for engineering leadership) demonstrate a keen eye for emerging trends.

## Strategic Focus
- **Generative AI Leadership**: To be the premier early-stage partner for founders building the next generation of AI-native companies.
- **AGI Mission**: The firm explicitly states a belief in the mission to develop AGI, signaling a long-term, high-conviction investment thesis.
- **Expanding Portfolio**: Actively seeking new investments in AI-first applications, middleware for Gen AI, and AI + game + social.

## Why Work Here
- **Culture**: A small, focused team of 17 employees (as of mid-2026) with a flat structure, offering significant ownership and impact. The firm is described as a partnership.
- **Remote/Hybrid Policy**: The firm has offices in Menlo Park (HQ) and Los Angeles, CA. Job postings indicate a mix of "In-Office" and "In-Office or Remote" roles, suggesting flexibility depending on the position.
- **Notable Perks/Engineering Culture**: Working at a VC firm offers exposure to the cutting edge of AI technology and the startup ecosystem. The team is composed of specialists and management, with a strong consulting and technical background. The firm is actively hiring for technical roles (Machine Learning Engineer, Software Engineer, Data Engineer) and product roles, indicating a hands-on, builder-oriented culture within the firm itself.

## Sources
1. [embedding.vc](https://www.embedding.vc/)
2. [linkedin.com](https://www.linkedin.com/company/embeddingvc)
3. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/embedding-vc)
4. [tracxn.com](https://tracxn.com/d/venture-capital/embeddingvc/__x4iWIoyDblSMImQx3cerpGqOt15eGHuGXfZJrtw3RK0)
5. [builtin.com](https://builtin.com/company/embedding-vc/teams)

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