Senior / Lead Perception Engineer

Gravis Robotics is a startup that turns heavy construction machines into intelligent and autonomous robots. Our unique combination of learning-based automation and augmented remote control lets one operator safely conduct a fleet of earthmoving machines in a gamified environment. Our team has over a decade of academic experience honing the cutting edge of large-scale robotics, and is rapidly growing to bring that expertise into a trillion dollar industry through active deployments with market leaders.
About the JobAt Gravis, we engineer solutions at the nexus of hardware and software every day: bringing new perception and control technologies onto awesome, autonomous machines. Our Rooftop Autonomous Control Kit (Rack) combines sensors, compute, communication and networking modules toward a manufacturer-agnostic solution that can be applied to a variety of construction machines regardless of type and age. We are seeking a highly skilled and experienced lead for our perception team: you will spearhead the perception development process, from design and prototyping to deployment of state-of-the-art object detection, scene segmentation, mapping, state estimation and calibration algorithms—while ensuring production quality implementation and timely execution.

Your Responsibilities

• Manage the design, prototyping, and deployment of advanced real-time perception and deep learning algorithms for autonomous heavy machines, focusing on 3D object detection & tracking, semantic segmentation, visual/lidar odometry, mapping, and sensor calibration.
• Lead the perception team and the agile development process, working with leadership to set and maintain project timelines.
• Establish and optimize testing procedures and performance metrics to ensure robust system behavior.
• Oversee the integration of new sensors and configurations into the perception stack.
• Collaborate closely with multidisciplinary experts to improve the reliability and performance of the entire system.
• Propose and manage hiring initiatives to strategically build a nimble and highly effective perception team.

Required Qualifications

• Master’s or PhD in Computer Science, Mechanical Engineering, Electrical Engineering or a related field.
• 5+ years of experience in developing and implementing robust perception algorithms.
• Writing production-quality C++/Python code in a Linux development environment.
• Extensive experience with deep learning frameworks (pytorch, tensorflow, etc) using image and/or LiDAR data.
• Proven leadership in a collaborative, small-team environment, with a strong ability to drive projects across disciplines.
• Excellent project management skills with the ability to prioritize tasks, manage resources, and meet deadlines.
• Excellent communication skills with the ability to effectively convey technical concepts to both technical and non-technical stakeholders.

Additional Beneficial Skills

• Experienced with setting up and maintaining machine learning pipelines, from data collection to model deployment
• Proficiency with  common robotics & perception frameworks ( e.g. OpenCV, PCL, Open3D, ROS 2, Nvidia HW/SW ecosystem, etc.)

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.
We are an international team that is working to solve problems with a global impact: to facilitate efficient communication and collaboration, proficiency in English is a requirement for all roles.