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Autonomous Machine Software Developer

vor 2 Wochen


Zürich, Zürich, Schweiz Gravis Robotics AG Vollzeit

Gravis Robotics AG is a pioneer in transforming heavy construction machines into intelligent and autonomous robots. Our unique synergy of learning-based automation and augmented remote control enables a single operator to safely manage a fleet of earthmoving machines in a gamified environment. With over a decade of academic experience in cutting-edge robotics, our team is rapidly expanding to bring this expertise to the trillion-dollar industry through active deployments with market leaders.

About the Job

We are seeking an experienced embedded systems engineer to join our team: you will play a pivotal role in developing and integrating autonomous machine projects, focusing on sensor integration, accelerated image processing, deploying machine learning models, and parallel programming on embedded Nvidia GPU platforms. You will collaborate closely with a talented team of engineers to design and implement systems that enhance the capabilities of our autonomous machines.

Key Responsibilities:
  • Implement core autonomous functionalities on embedded platforms for autonomous excavators.
  • Establish a solid devops cycle for the embedded system by solving challenges related to cross-compilation, deployment, and build infrastructure.
  • Collaborate with cross-functional teams to design and implement system architectures for autonomous machine applications.
  • Conduct performance analysis and optimization of embedded systems.
  • Maintain and improve existing codebases and documentation.
  • Stay updated with the latest advancements in autonomous machines/vehicle platforms and related technologies.
Required Qualifications:
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
  • 2+ years of proven experience with any embedded platform for machine vision in the autonomous vehicle or a similar domain.
  • Proven track record of envisioning and driving the setup and improvement of a developer environment for embedded systems.
  • Strong expertise in embedded GPU programming and optimization for Nvidia platforms.
  • Excellent problem-solving skills and ability to work in a fast-paced environment.
  • Strong communication and teamwork skills.
Additional Beneficial Skills:
  • Experience in implementing high-reliability applications, such as automotive or aerospace, where strict quality and safety standards are crucial.
  • Experience with Nvidia Jetson Orin SoC.
  • Familiarity with autonomous vehicle technology and standards.
  • Knowledge of machine learning and AI techniques for Robotics.
  • Experience with ROS (Robot Operating System) and other robotics frameworks.
  • Understanding of image processing and computer vision techniques and algorithms.
  • Integrate and calibrate various sensors (e.g., cameras, LiDAR, RADAR) with embedded GPU platforms.
  • Capability to implement parallel programming solutions using CUDA, OpenCL, and Halide frameworks to accelerate processing tasks.

This is an opportunity to join a dynamic and versatile team, and to be part of a young startup that will revolutionize heavy construction. Gravis Robotics offers a fair market salary and a working location in the vibrant city of Zurich. As a forward-facing startup, we understand that work-life balance and flexibility are important considerations for many professionals: If you are a highly qualified candidate with the requisite skills and experience, we encourage you to apply and discuss your preferred working arrangement during the interview process.

Gravis is an equal opportunity employer. We are committed to building an inclusive and diverse team, and do not discriminate based upon race, color, ancestry, national origin, religion, sex, sexual orientation, age, gender identity, gender expression, disability, veteran status, or other legally protected characteristics.