Systems Engineer – Infrastructure & Fleet Zürich • In office

Mimic Robotics AG; Zürich; Hybrid; CHF 120,000 - 170,000; Full time

Job summary

Mimic Robotics AG in Zurich is seeking a hands-on Systems Engineer to evolve our robotics and AI stack into a scalable, production-grade platform. You will own core system architecture, policy execution harnesses, and fleet infrastructure enabling autonomous operations in real-world environments.

You will work at the intersection of cloud, AI, and robotics fleet software, collaborating with AI research and hardware teams to deliver robust, integrated solutions.

Qualifications

• Proven track record shipping production-grade systems in real-world settings (robotics, autonomous devices, or edge ML).
• Strong systems-level engineering with cloud performance optimization and hardware/software integration.
• Experience building execution wrappers, safety monitors, or telemetry/remote-operation tools for edge systems.
• Able to dive deep into code and make high-impact architectural decisions independently.
• Based in or willing to relocate to Zurich; in-person presence is essential.

Responsibilities

• Design and implement fleet management capabilities for end-to-end learnt manipulation, including remote deployment and monitoring.
• Architect petabyte-scale robotics infra spanning edge computing, AI runtimes, and local infrastructure.
• Maintain high reliability with rigorous testing, CI/CD, DevOps standards, and system-level software certification.
• Collaborate with AI research, AI infrastructure, robotics and hardware teams to bind research output to scalable infrastructure.

Skills

Real-World Systems Experience

Deep Systems Engineering

Edge & Platform Reliability

Technical Depth

On-Site Presence

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.

We’re looking for a hands-on 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, policy execution harnesses, and fleet infrastructure required to take our robots from cutting edge research platforms to rock-solid, autonomous operations in real-world environments.

What You’ll Do

• Build the future of fleet management for end-to-end learnt manipulation: Design and implement fleet management capabilities, including remote software/model deployment, A/B and Blue/Green testing, centralized telemetry/monitoring, and predictive maintenance.
• Architect petabyte-scale robotics infra: Guide scalable system architecture decisions across edge computing, AI runtimes, and local infrastructure.
• Maintain and enforce high standards for reliability across the stack: Establish and enforce rigorous testing, CI/CD, DevOps standards, and system-level software certification across the platform.
• Build the nervous system of mimic’s physical AI In close collaboration with our AI research, AI infrastructure, robotics and hardware teams, define the interfaces that bind them together, and make sure that our frontier research output is wrapped by cutting-edge infrastructure.

Must Haves

• Real-World Systems Experience: Proven track record of shipping and maintaining complex, fault-tolerant, production-grade systems in real-world settings (e.g., robotics, autonomous vehicles, drones, aerospace, or edge ML devices). Specific experience with robotics is not required.
• Deep Systems & Low-Level Engineering: Strong systems-level engineering foundation with hands-on expertise in cloud performance optimization, and hardware/software integration.
• Edge & Platform Reliability: Experience building execution wrappers, safety monitors, or telemetry/remote-operation tools for edge systems.
• Technical Depth: Capable of diving deep into code, diagnosing edge-case failures, and making high-impact architectural decisions independently.
• On-Site Presence: Based in or willing to relocate to Zurich. Being in-person is essential, as this role sits at the intersection of our physical hardware, AI models, and software integration.

Nice to Have

• Experience with Cloud/large scale data for learning purposes
• Familiarity with safety-critical architectures or formal system certification environments.
• Experience scaling deep-tech software platforms from early-stage prototypes to fleet-wide deployments.

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.