Forward Deployed Engineer - Robotics

Flexion Robotics; Zürich; On-site; CHF 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Enhanced pension plan

Enhanced holidays & paid leave

Relocation & permit sponsorship

Central Zürich office

Job summary

Flexion Robotics is seeking an experienced engineer to act as the technical owner for key customer accounts, leading on-site deployments and stabilizing software in the field. You will work closely with R&D, Product, and customers to ensure successful integrations, write deployment runbooks, and provide hands-on support with robotics software and hardware interfaces.

The role requires MS-level education in a relevant field, strong C++/Python skills, and travel up to ~20% to customer sites in

Qualifications

• MS degree in Mechanical Engineering, Computer Science, Robotics or Electrical Engineering.
• Production-level proficiency in C++ and Python.
• Hands-on experience with software interfacing robotics hardware.
• Strong experience with ROS2 and DDS.
• Willingness to travel ~20%.

Responsibilities

• Act as the technical owner for key customer accounts and ensure stable integrations of Flexion’s stack on customer hardware.
• Lead on-site deployments at customer facilities and support the software lifecycle from bring-up to daily operations.
• Triage and resolve full-stack issues across software, hardware interfaces and system integration.
• Collaborate with R&D and Product to expand deployments and unblock customer rollouts.
• Capture logs and field learnings to drive product improvements.

Skills

C++

Python

ROS2

DDS

Networking

Linux networking

Perception sensors

Embedded systems protocols

Robotics hardware integration

Technical communication

Education

MS in Mechanical Engineering

MS in Computer Science

MS in Robotics

MS in Electrical Engineering

Job 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:

You’ll join the Engineering team, working closely with R&D, Product, and partners to scale Flexion’s software across customer robot fleets. You’ll act as the technical lead for key accounts, owning successful integrations end to end by leading on site deployments, stabilizing performance in the field, and serving as the technical bridge between engineering and real world customer operations.

Key Responsibilities:

• Act as the technical owner for key customer accounts, ensuring stable, successful integrations of Flexion’s stack on customer hardware.

• Lead on-site deployments at customer facilities, actively writing code and supporting the software lifecycle from initial bring-up through daily operations

• Triage and resolve full-stack issues across software, hardware interfaces, and system integration (remote and on-site as needed)

• Partner with R&D, and Product to expand deployments and unblock customer rollouts

• Capture logs, failure modes, and field learnings, and relay actionable feedback to engineering to drive product improvements

• Create and maintain technical documentation, deployment runbooks, and operations manuals to enable customer self-sufficiency

• MS in Mechanical Engineering, Computer Science, Robotics, Electrical Engineering, or equivalent.

• Production-level proficiency in C++ and Python.

• Hands‑on experience developing software that interfaces directly with robotics hardware (e.g., writing hardware abstraction layers, motor controller drivers, or custom sensor integrations).

• Extensive experience with robotics hardware and software integration, with a specific focus on troubleshooting real robots.

• Proficiency in networking concepts (IPv4, TCP/IP, Subnetting) and Linux networking tools.

• Practical experience with perception sensors and pipelines (mono and stereo cameras, LiDAR).

• Knowledge in embedded systems communication protocols (Ethernet, MIPI, I2C, SPI).

• Strong experience with robotics middleware, specifically ROS2 and DDS.

• Excellent communication skills, with the ability to manage customer expectations and explain technical resolutions to customers.

• Flexibility to travel to customer sites as needed (~20%).

• Familiarity with Deep Learning and Reinforcement Learning concepts is a plus.

  • 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 Europe’s leading robotics team & exposure to never-done-before research
  • Energetic, collaborative culture with a bias for action and regular community events