Senior Robotics Engineer - Robot Perception

Job description

Job responsibilities

• Develop Advanced Perception Systems: Design and implement architectures that integrate state-of-the-art computer vision and deep learning techniques.
• Maintain Software Engineering Excellence : Develop and sustain robust, high-quality software while adhering to best practices including thorough code reviews, testing, and documentation.
• Collaborate with Planning Teams: Work closely with robot planning and manipulation groups to embed perception data into control pipelines.
• Optimize Decision-Making Workflows : Design and refine processes that enable real-time robotic actions based on integrated perception data.
• Create and Curate Datasets: Build comprehensive datasets from millions of daily cases, incorporating data augmentation, precise automated labeling, and rigorous quality assurance.
• Enhance Simulation Environments: Leverage synthetic data generation and advanced simulation techniques (e.g., Gaussian Splatting, NeRFs, GenAI) to bridge the sim-to-real gap.
• Drive Research and Innovation: Stay current with advancements in robotics perception, proposing and implementing innovative solutions to enhance system capabilities.
• Foster Collaboration and Mentorship: Engage with cross-functional teams and mentor junior engineers to promote a culture of continuous learning and improvement.

Job requirements

• Education: Bachelor's or Master's degree (Ph.D. is a plus) in Robotics, Computer Science, Electrical Engineering, or a related field.
• Experience: Minimum of 8 years of robotics engineering and robotic perception software development experience
• Technical Proficiency: Expertise in a modern programming language (C++, C#, and/or Python), coupled with a strong grasp of computer vision methodologies such as semantic/instance segmentation, object detection,…
• Advanced & Deep Learning Techniques: Familiarity with state-of-the-art perception methods (NeRFs, Gaussian Splatting, LLMs, Diffusion Processes) combined with proficiency in deep learning frameworks like PyTorch or JAX.
• Data Engineering: Experience in building and managing large-scale datasets, developing data pipelines, and implementing innovative, scalable solutions.
• System Integration: Proven ability to integrate perception systems with planning and manipulation stacks to create robust, scalable end-to-end automation solutions.
• Problem-Solving: Exceptional analytical and troubleshooting skills for addressing complex engineering challenges.
• Collaboration: Strong teamwork and communication skills for effective collaboration in multidisciplinary environments.