Lead Perception Engineer

Gravis Robotics; Zürich; Vor Ort; CHF 140.000 - 210.000; Vollzeit

Zusammenfassung

Gravis Robotics seeks a lead for its perception team to drive real-time perception and deep learning algorithms for autonomous heavy machines. You will steer design, prototyping, and deployment, ensuring production-quality code and timely delivery.

You will manage a multidisciplinary team, set project timelines, and optimize testing and sensor integration while pushing for scalable, robust perception performance.

Qualifikationen

• 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.
• Production-quality C++/Python in a Linux environment.
• Extensive experience with deep learning frameworks (PyTorch, TensorFlow) using image/LiDAR data.
• Proven leadership in a small-team, cross-disciplinary setting.
• Excellent project management and stakeholder communication skills.

Aufgaben

• Manage design, prototyping, and deployment of real-time perception and DL algorithms for autonomous heavy machines (3D detection, tracking, mapping).
• Lead the perception team and agile development, coordinating timelines with leadership.
• Establish and optimize testing procedures and performance metrics for system robustness.
• Oversee integration of new sensors and configurations into the perception stack.
• Collaborate with multidisciplinary experts to improve system reliability and performance.
• Drive hiring initiatives to grow a nimble perception team.

Kenntnisse

Perception algorithms

Production code (C++/Python)

Deep learning frameworks

Leadership

Project management

Communication

Ausbildung

Master’s or PhD in CS/EE/ME or related field

Tools

OpenCV

PCL

Open3D

ROS 2

NVIDIA HW/SW ecosystem

Jobbeschreibung

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 Job

At 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.

What you’ll do

• 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

What you’ll bring

• 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.)

Don’t meet every requirement? If you’re enthusiastic about this role but your experience doesn’t match every qualification, you might be the perfect candidate for this or other positions.

This is an opportunity to join a dynamic and versatile team, and to be part of a young startup that will revolutionize heavy construction. 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,

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.