---
title: 'Systems Engineer – Infrastructure & Fleet at Mimic Robotics'
canonical: 'https://feeny.ai/job/systems-engineer-infrastructure-fleet-mimic-robotics-zurich-ne7z6p73xv5d'
type: 'job'
last_seen: '2026-10-21'
---

# Systems Engineer – Infrastructure & Fleet at Mimic Robotics

- **Company:** Mimic Robotics
- **Location:** Zurich, Switzerland
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-13
- **Last confirmed live:** 2026-10-21
- **Apply:** https://jobs.gem.com/mimicrobotics-com/am9icG9zdDoJD-V2Uszf4ftTvP_HQdSv

## Job description

mimic is a deep tech robotics & AI start-up based in Zurich and supported by leading VCs. We give industry workers a helping hand for tedious manual labour tasks and mitigate labour shortages with a versatile automation platform. Our automation solutions, driven by dexterous robotic hands and cutting edge AI trained on human observations, bring a new level of AI embodiment to the real world.

## The Role

We’re looking for a hands-on (Staff/Senior) Systems Engineer to drive the technical evolution of our robotics and AI stack into a scalable, highly reliable, and production-grade platform.

In this role, you will sit at the center of cloud, AI and robotics fleet software integration at our Zurich headquarters. You will own the core system architecture and fleet infrastructure required to take our robots from cutting edge research platforms to rock-solid, autonomous operations in real-world environments.

In this role you will

- Architect the fleet: aid the design and implementation of the end-to-end system that connects our stations into a managed fleet. That covers provisioning, device identity, connectivity, and the data and high level control planes, built to scale by orders of magnitude.
- Move petabytes from edge to cloud: Build the pipeline that uploads multi-modal robot data (video, proprioception, logs) from stations with limited bandwidth, storage and compute.
- Ship software to robots safely: Own OTA updates for the full stack (OS, drivers, runtime, models). This includes staged rollouts, A/B and blue/green deployments, health-gated promotion and automatic rollback.
- Make the fleet observable: Build centralized telemetry, monitoring and alerting, predictive analytics and maintenance.
- Raise the operational bar: Set and enforce standards for testing, CI/CD, releases and incident response across teams.
- Write the hot paths: Implement performance-critical components such as data transport, compression and on-device agents.
- Integrate across teams: Define the interfaces between research, AI infra, robotics and hardware, and be the person who knows how the whole system fits together.

## What we hope you'll bring

- Large-scale systems design: You have architected distributed systems at scale and can reason clearly about the trade-offs between throughput, consistency, failure modes and cost.
- Edge fleet experience: You have shipped and operated software on fleets of physical devices, such as robots, AVs, drones, IoT or edge ML.
- Operational excellence: You have hands-on experience with CI/CD, release engineering, infrastructure-as-code, observability and production systems with real uptime commitments.
- Strong engineering: You write efficient, maintainable code in a systems language (C++/Rust/Go) plus Python, and you can reason about algorithms.
- Ownership and communication: You are comfortable owning a system end-to-end and aligning AI researchers, roboticists, hardware engineers and software engineers around it.
- Zurich-based or willing to relocate: This role lives next to the robots and the team that builds and maintains them.

## Nice to Have

- Data infrastructure for ML training, such as large-scale ingestion, storage and dataset tooling.
- Embedded or Linux systems internals, secure boot, and image-based updates.
- Experience in robot learning infrastructure at scale.
- Safety-critical architectures or formal certification environments.
- Scaling a platform from early prototypes to fleet-wide deployment.

You will have the opportunity to shape a robotics & AI company from the ground up. In flat hierarchies you will work directly with the founders and some of the best talents in the robotics space. At mimic, you are accepted for who you are. As part of our ongoing journey towards creating a diverse and inclusive environment we encourage everyone to apply and we are looking forward to you bringing along your knowledge, personal experiences, and fresh perspectives. Together we can solve some of the greatest challenges in robotics.

## About Mimic Robotics

## Company Overview
- **One-liner**: Mimic Robotics builds general-purpose robots for factory floors, using frontier AI and video-action models to achieve dexterous, autonomous manipulation in unstructured environments.
- **Entity Type**: Private (Seed stage; $20.8M total funding)
- **Headquarters**: Zurich, Switzerland (with a research unit in San Francisco, USA)
- **Founded**: 2024
- **Founders**: Benedek Forrai (Co-Founder & Lead Roboticist), Stephan-Daniel Gravert (Co-Founder & CPO), Robert Katzschmann (Co-founder & Scientific Advisor)

## Core Business
- **Primary industry**: Robotics engineering / AI-powered industrial automation
- **Target customers**: B2B – manufacturing, logistics, and other operations that involve complex, tedious manual tasks
- **Mission**: “enable humanity to create, produce and manufacture at will, with minimum effort” [mimicrobotics.com](https://www.mimicrobotics.com/about)

## Products & Services
- **Video-Action Models**: A proprietary AI paradigm that leverages large-scale video pre-training to predict and execute robot actions, generalizing across unseen tasks and adapting to real-world variability.
- **MIMIC-ONE Hand**: A 16‑DoF tendon‑driven humanoid hand controlled by a diffusion‑based architecture, achieving up to 93.3% task success on unseen tasks.
- **LAD (Latent Action Diffusion)**: A framework that aligns action spaces across human hands, robotic hands, and grippers via contrastive learning, enabling a single policy to control multiple robot embodiments.
- **MAPLE**: A research collaboration with ETH Zurich and Microsoft Research that learns dexterous manipulation priors from large‑scale egocentric video of human hand interactions.
- **Robot Stations**: Available in one‑ or two‑arm configurations, mounted on a stationary table or an autonomous mobile platform – platform‑agnostic to fit the customer’s specific use case.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total funding of **$20.8 million** (as of 2025, including a $16M seed round led by Speedinvest and Elaia, plus grants from Venture Kick, Innosuisse, and others) [linkedin.com](https://linkedin.com/company/mimicrobotics)
- **Notable Investors/Partners**: Speedinvest, Elaia, Venture Kick, Innosuisse; research partners include ETH Zurich and Microsoft Research
- **Growth Signals**:
  - Headcount of 40 employees (~166.7% YoY growth)
  - LinkedIn following of 18,395 (+273.6% YoY)
  - Featured among Switzerland’s most exciting emerging ventures
  - Active job postings for AI, robotics, and field engineering roles

## Competitive Advantages
- **Proprietary Video-Action Models** that outperform traditional VLA (Vision-Language-Action) models by using native video pre-training with rich physics representations.
- **Cross‑embodiment learning** via LAD, allowing a single model to control different robot hands and grippers, delivering ~25% improvement in manipulation success.
- **Full‑stack approach** from AI research to hardware design (custom 16‑DoF humanoid hand) and deployment in customer facilities.
- **World‑class team** drawing talent from Google DeepMind, Tesla Optimus, ETH Zurich, MIT, and Stanford.

## Strategic Focus
- Scaling from research to real‑world customer deployments: “delivering value to our customers and their everyday operational reality.”
- Expanding the team across AI research, hardware, robotics, data operations, and business development.
- Building a “general purpose robot” that can be rapidly adapted to new use cases, driving down the cost and complexity of industrial automation.

## Why Work Here
- **Culture**: “Bias toward action” – solving real problems on factory floors, not just publishing papers. Tight‑knit team of ~50 people from diverse backgrounds.
- **Work environment**: In‑office roles in Zurich (HQ) and San Francisco; roles include AI Research Engineer, Forward Deployed Engineer, Embedded Systems Engineer, and Field Engineer.
- **Engineering culture**: Cutting‑edge AI research combined with hands‑on hardware and systems work; collaboration with top academic labs (ETH Zurich, MIT).
- **Growth opportunity**: Join a fast‑growing startup (166% headcount increase) at the frontier of physical AI, with direct impact on product and customer success.

## Sources
1. [mimicrobotics.com – Homepage](https://www.mimicrobotics.com/)
2. [mimicrobotics.com – About](https://www.mimicrobotics.com/about)
3. [mimicrobotics.com – Careers](https://www.mimicrobotics.com/careers)
4. [jobs.gem.com – Mimic Robotics Open Positions](https://jobs.gem.com/mimicrobotics-com)
5. [linkedin.com – Mimic Robotics Company Page](https://linkedin.com/company/mimicrobotics)

## Other roles at Mimic Robotics

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