Software Engineer (Robotics)

Job Description

About the Role

At Meta, we're building the future of human connection and the technology that enables it. This means continuously inventing and developing technologies for the next generation of experiences. To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world.

Key Responsibilities

Work closely with researchers cross-functional partners spanning multiple teams and disciplines to define technical goals and lead implementation
Collaborate with research scientists and engineers to design and implement state-of-the-art AI algorithms and models on real robot hardware and simulation environments
Design and conduct thorough evaluations of AI models on real-world robotic systems, identifying limitations, and proposing improvements to enhance their performance and robustness
Effectively communicate complex features and systems in detail to cross-functional stakeholders
Publish research results and contribute to research that impacts Meta product development

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
5+ years of experience in robotics or related field, or advanced degree with equivalent experience
Experience in robotics related research areas, such as: generative AI, robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI
Experience with machine learning models, and frameworks such as PyTorch, TensorFlow, etc
Proficiency in programming languages such as Python, C++, or similar
PhD in computer science, robotics, AI, or related fields
7+ years of industry experience, or advanced degree with equivalent experience
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV)
Proven knowledge of robotics fundamentals (perception, planning, control)
Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
Experience with generative AI experience, especially VLM
Experience building systems based on machine learning and/or deep learning methods
Experience solving complex problems and comparing alternative solutions, tradeoffs, and different points of view to determine a path forward
Experience working and communicating cross functionally in a team environment
Experience with robot simulations and real-world hardware
Experience designing and developing new robotic systems, platforms or infrastructure

Qualifications

Bachelor's degree in relevant technical field or equivalent practical experience
Advanced degree (Master's or PhD) preferred for certain experience levels