Software Engineer (Robotics)
Meta
Software Engineer (Robotics)
Job Description
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. We’re seeking Research Engineers ready to apply their knowledge and skills to a wide variety of technologies. These role will require novel engineering, research and problem-solving working in a focused incubation team while collaborating with a large and wide-ranging set of scientists and engineers in the greater organization.
Locations
- Redmond, WA, USA
- Burlingame, CA, USA
- Remote, US, USA (Remote)
Salary
Estimated Salary Rangemedium confidence
12,000,000 - 35,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- inventing technologiesintermediate
- developing technologiesintermediate
- robotics hardwareintermediate
- system softwareintermediate
- machine perceptionintermediate
- artificial intelligenceintermediate
- engineeringintermediate
- researchintermediate
- problem-solvingintermediate
- collaboratingintermediate
Required Qualifications
- 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 Experience with generative AI experience, especially VLM PhD in computer science, robotics, AI, or related fields Experience solving complex problems and comparing alternative solutions, tradeoffs, and varied perspectives to determine a path forward Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources Experience building systems based on machine learning and/or deep learning methods Experience working and communicating cross functionally in a team environment Experience with robot simulations and real-world hardware Proven knowledge of robotics fundamentals (perception, planning, control) 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) Experience designing and developing new robotic systems, platforms or infrastructure 7+ years of industry experience, or advanced degree with equivalent experience (experience, 5 years)
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 wide-ranging stakeholders Publish research results and contribute to research that impacts Meta product development
Tags & Categories
Software Engineer (Robotics)
Meta
Software Engineer (Robotics)
Job Description
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. We’re seeking Research Engineers ready to apply their knowledge and skills to a wide variety of technologies. These role will require novel engineering, research and problem-solving working in a focused incubation team while collaborating with a large and wide-ranging set of scientists and engineers in the greater organization.
Locations
- Redmond, WA, USA
- Burlingame, CA, USA
- Remote, US, USA (Remote)
Salary
Estimated Salary Rangemedium confidence
12,000,000 - 35,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- inventing technologiesintermediate
- developing technologiesintermediate
- robotics hardwareintermediate
- system softwareintermediate
- machine perceptionintermediate
- artificial intelligenceintermediate
- engineeringintermediate
- researchintermediate
- problem-solvingintermediate
- collaboratingintermediate
Required Qualifications
- 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 Experience with generative AI experience, especially VLM PhD in computer science, robotics, AI, or related fields Experience solving complex problems and comparing alternative solutions, tradeoffs, and varied perspectives to determine a path forward Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources Experience building systems based on machine learning and/or deep learning methods Experience working and communicating cross functionally in a team environment Experience with robot simulations and real-world hardware Proven knowledge of robotics fundamentals (perception, planning, control) 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) Experience designing and developing new robotic systems, platforms or infrastructure 7+ years of industry experience, or advanced degree with equivalent experience (experience, 5 years)
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 wide-ranging stakeholders Publish research results and contribute to research that impacts Meta product development
Tags & Categories