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Senior Robotics Engineer (Autonomy)

HexaFarms·Salary not specified

Nice to have's

Machine Learning

Job description

About the Position

Senior Robotics Engineer (Autonomy)

Berlin

Full-time

Permanent employee

About the Role

We are building robots from the ground up for the #ag industry. We already have some of them live out in the fields, but we want to nail down the autonomy part. We are planning to have hundreds of rovers scouting commercial production facilities soon, and you will be responsible for full-stack autonomy: making and owning key decisions that will make this process more and more reliable. A lot about this role is deliberately in stealth mode, but in short, you will be working with a very small team to achieve something that has been considered very difficult.

Responsibilities

  • Develop autonomous navigation software for wheeled mobile robots.
  • Integrate LiDAR, RGB/depth cameras, IMUs, wheel odometry, and GPS (where applicable).
  • Implement SLAM, localization, obstacle detection, and path planning.
  • Design mission planning software for predefined routes and task execution.
  • Improve robustness in challenging greenhouse conditions such as changing lighting, dense foliage, reflective surfaces, and narrow aisles.
  • Deploy, test, and tune autonomy algorithms on physical robots.
  • Build tools for map generation, route creation, and mission monitoring.
  • Collaborate with mechanical, electrical, and software engineers to improve robot performance.
  • Analyze field data and continuously improve navigation reliability.

Requirements

  • Develop autonomous navigation software for wheeled mobile robots.
  • Integrate LiDAR, RGB/depth cameras, IMUs, wheel odometry, and GPS (where applicable).
  • Implement SLAM, localization, obstacle detection, and path planning.
  • Design mission planning software for predefined routes and task execution.
  • Improve robustness in challenging greenhouse conditions such as changing lighting, dense foliage, reflective surfaces, and narrow aisles.
  • Deploy, test, and tune autonomy algorithms on physical robots.
  • Build tools for map generation, route creation, and mission monitoring.
  • Collaborate with mechanical, electrical, and software engineers to improve robot performance.
  • Analyze field data and continuously improve navigation reliability.

Nice to Have

  • Experience with autonomous ground vehicles (AGVs or AMRs).
  • Knowledge of machine learning and computer vision.
  • Experience integrating with NVIDIA Jetson or similar edge AI platforms.
  • Familiarity with simulation tools such as Gazebo or Isaac Sim.

We Offer

  • Full ownership.
  • A team of genuine experts across hardware, ML, AI, and agronomy to build with.
  • Berlin only. We can offer relocation support.
  • Our own manufacturing lab. We are simultaneously building our own manufacturing studio that you can make full use of. We have 24/7 access to a range of lasers, 3D printers, metalworking tools, an electronics lab, and more.
  • Benefits: equity, perks, visiting farms, morning matchas, strawberries, and more.

About the Company

We are building the company that is building the software and the hardware for the future of commercial food production. We create a peace of mind for commercial food producers by interfacing their entire operations to our ML and AI services. If you live in Europe, very likely, you've had fresh, healthy and nutritious produce raised by hexafarms OS– you just don't know.

hexafarms helps growers to get the most out of their production through yield forecasting, disease and pest detection, climate optimisation, and real-time plant analysis- all in one place. Day by day, we are bridging the gap between sensing, plant biology, and real-time market needs to ensure our customers focus on what is really important, and keep growing at their best.

© HexaFarms. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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