Software Engineer, Robotics

Software Engineer, Robotics

Base pay range
: $88.46/yr - $/yr

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.

• Work closely with researchers and 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 diverse stakeholders.
• Publish research results and contribute to research that impacts Meta product development.

• Bachelor's degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.
• 5+ years of experience in robotics or the related field, or an 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, Tensor Flow, etc.
• Proficiency in programming languages such as Python, C++, or similar.

• Proven knowledge of robotics fundamentals (perception, planning, control).
• PhD in computer science, robotics, AI, or related fields.
• Experience solving complex problems and comparing alternative solutions, trade‑offs, and diverse points of view to determine a path forward.
• Experience designing and developing new robotic systems, platforms or infrastructure.
• Experience with generative AI, especially VLM.
• Experience with robot simulations and real‑world hardware.
• Experience building systems based on machine learning and/or deep learning methods.
• Experience manipulating and analyzing complex, large‑scale, high‑dimensionality data from varying sources.
• 7+ years of industry experience, or an advanced degree with equivalent experience.
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, and publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV).
• Experience working and communicating cross‑functionally in a team environment.

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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