Flexion Robotics

Humanoid-robotics AI brain for autonomy

Forward Deployed Engineer - Robotics

Robotics & Autonomous SystemsConfirmed live in the last 24 hours

Full-timeZürich, SwitzerlandNo salary listed

About the Job

Requirements

Strong software engineering skills, with production-level proficiency in C++ and experience building maintainable, tested systems.
Hands-on experience developing software for robotics hardware, including actuator and sensor interfaces, hardware abstraction layers, or control systems.
Ability to debug real robots and reason across software, hardware, timing, and system behaviour.
Solid understanding of control theory and practical experience in robot modelling, simulation, calibration, or system identification.
Strong Linux development and debugging skills, familiarity with networking and hardware communication protocols, and experience with ROS2 and DDS.
Ability to collaborate with AI researchers and customer engineers, communicate technical tradeoffs clearly, and take ownership of complex engineering problems and deliverables.
Experience in customer-facing engineering roles, delivering technical solutions from scoping through deployment.
A degree in Computer Science, Robotics, Electrical Engineering, or Mechanical Engineering, or equivalent practical experience.
Willingness to travel to customer sites as needed, approximately 20%.

Responsibilities

Develop hardware abstraction layers, actuator and sensor interfaces, middleware integrations, and control-loop infrastructure; own robot bring-up and solve integration challenges across software and hardware.
Investigate differences between simulated and real-world behaviour, identify their causes, and improve robot models, interfaces, inference pipelines, and deployment infrastructure.
Build software that combines perception, learned controllers, manipulation, and task planning into reliable autonomous behaviours; coordinate models, manage execution, and recover from failures so robots can complete tasks in real-world environments.
Lead technical work at customer sites, diagnose failures using logs and measurements, implement fixes to improve the underlying software, and follow complex problems through to tested, reliable solutions.
Define requirements, milestones, and acceptance criteria with customer engineers; coordinate dependencies with internal teams, communicate progress and technical tradeoffs, address risks early, and own delivery from initial scoping through validation on customer hardware.

Desired Qualifications

Familiarity with deep learning and reinforcement learning.
Experience with robotics simulation tools such as Isaac Sim or MuJoCo.

Forward Deployed Engineer - Robotics

Flexion Robotics · Zürich, Switzerland · Full-time · Posted 2026-10-12

Workplace: on_site

Department: AI Engineering

Description

About Flexion:

At Flexion, we're building the intelligence layer powering the next generation of humanoid robots. Our mission is to accelerate the transition from fragile prototypes to real-world humanoid deployment. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich) and backed by leading international VC firms. Within a few months we’ve gone from our first line of code to deploying real humanoid capabilities with our partners. Learn more about Flexion at flexion.ai

The role

Build the software that turns robot intelligence into real-world capability.

As a Forward Deployed Engineer at Flexion, you’ll work at the intersection of software engineering, robotics, and AI. You’ll bring up new robot platforms, deploy learned controllers, and build autonomous workflows that enable robots to perform useful work.

Working closely with our AI team, you’ll write the software that deploys Flexion’s autonomy stack across whole-body control, manipulation, and agentic execution. Your work will span hardware interfaces, robot modelling, inference pipelines, and autonomous task execution—with your code driving robots in the physical world.

You’ll also own technical delivery with customers, working directly with their engineers to turn requirements into working capabilities. From initial scoping to validation on customer hardware, you’ll combine hands-on engineering with clear communication and ownership of the outcome.

Key responsibilities

Bring Flexion’s intelligence onto real robots. Develop hardware abstraction layers, actuator and sensor interfaces, middleware integrations, and control-loop infrastructure. Own robot bring-up and solve integration challenges across software and hardware.
Close the loop between simulation and deployment. Investigate differences between simulated and real-world behaviour, identify their causes, and improve robot models, interfaces, inference pipelines, and deployment infrastructure.
Engineer autonomous capabilities that deliver real work. Turn complex customer tasks into reliable autonomous behaviours by building software that brings perception, learned controllers, manipulation, and task planning together. Solve the challenges of coordinating models, managing execution, and recovering from failures so robots can complete tasks in real-world environments.
Solve problems in the field. Lead technical work at customer sites, diagnose failures using logs and measurements, and implement fixes that improve the underlying software. Follow complex problems through to tested, reliable solutions.
Own technical delivery with customers. Define requirements, milestones, and acceptance criteria with customer engineers. Coordinate dependencies with internal teams, communicate progress and technical tradeoffs, and address risks early. Own delivery from initial scoping through validation on customer hardware.

Requirements

Strong software engineering skills, with production-level proficiency in C++ and experience building maintainable, tested systems.
Hands-on experience developing software for robotics hardware, including actuator and sensor interfaces, hardware abstraction layers, or control systems.
The ability to debug real robots and reason across software, hardware, timing, and system behaviour.
A solid understanding of control theory and practical experience in robot modelling, simulation, calibration, or system identification.
Strong Linux development and debugging skills, familiarity with networking and hardware communication protocols, and experience with ROS2 and DDS.
The ability to collaborate with AI researchers and customer engineers, communicate technical tradeoffs clearly, and take ownership of complex engineering problems and deliverables.
Experience in customer-facing engineering roles, delivering technical solutions from scoping through deployment.
A degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or equivalent practical experience.
Willingness to travel to customer sites as needed, approximately 20%.

Bonus:

Familiarity with deep learning and reinforcement learning.
Experience with robotics simulation tools such as Isaac Sim or MuJoCo.

Benefits

Competitive compensation
Enhanced pension plan
Enhanced holiday & paid leave perks
Relocation & permit sponsorship
Central Zürich office with top-tier robotics testing facilities and infrastructure
Joining a leading robotics team & exposure to never-done-before research
Energetic, collaborative culture with a bias for action and regular community events

Apply

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About the Company

Flexion Robotics

Humanoid-robotics AI brain for autonomy

Flexion Robotics builds the AI brain for humanoid robots, enabling autonomy by letting robots understand natural-language tasks, plan motions, and control their bodies through reinforcement learning and sim-to-real training. Its stack includes a command layer that uses language models for task decomposition, a motion layer with vision-language-action models trained largely on synthetic data, and a low-latency whole-body control layer with modular skills. The company differentiates itself with an ETH Zurich–trained engineering team and a full-stack approach that covers language, motion, and real-time control, plus active funding and OEM partnerships. Its goal is to enable useful, widespread autonomy for humanoid robots by partnering with original equipment manufacturers to scale robot fleets and establish a US presence.

Company size: 51-200
Company stage: Series A
Total funding: $57.4M
Headquarters: Zurich, Switzerland
Founded: 2025

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