1.75 Research Engineer -Robot Safety

Field AI; Pittsburgh (Allegheny County); On-site; USD 99,000 - 129,000; Full time

Job summary

Field AI is seeking a Research Engineer/Scientist to advance the safety and reliability of robotic systems. This role involves conducting cutting-edge research, optimizing operations, and contributing to scientific journals. Join a team at the forefront of robotics, driving innovation in real-world applications.

Benefits

Opportunity to work on cutting-edge technology

Collaborate with a world-class team of experts

Inclusive work environment

Qualifications

• Ph.D. or Master’s degree required in Robotics, Computer Science, or Electrical Engineering.
• Proficiency in Python, C++, and robotics frameworks.
• Strong understanding of machine learning algorithms and robotics.

Responsibilities

• Conduct research on risk-aware robotics and safety.
• Optimize research workflows and streamline data collection.
• Publish research findings and represent the company at events.

Skills

Programming in Python

Programming in C++

Robotics algorithms

Machine learning algorithms

Data flow optimization

Communication skills

Education

Ph.D. or Master's degree in Robotics

Electrical Engineering

Computer Science

Tools

ROS/ROS2

Parallel computing with GPUs

PyTorch

Job description

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Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

Are you passionate about advancing the safety and reliability of robotic systems in unstructured, real-world environments? Field AI is seeking a Research Engineer/Scientist to lead initiatives in developing risk-aware and dependable solutions for safe embodied intelligence. This pivotal role offers the opportunity to shape the future of robot safety, ensuring our systems operate seamlessly and securely in challenging environments.

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

Are you passionate about advancing the safety and reliability of robotic systems in unstructured, real-world environments? Field AI is seeking a Research Engineer/Scientist to lead initiatives in developing risk-aware and dependable solutions for safe embodied intelligence. This pivotal role offers the opportunity to shape the future of robot safety, ensuring our systems operate seamlessly and securely in challenging environments.

What You'll Get To Do

• Conduct Research in Risk-Aware Robotics:
• Design and conduct state-of-the-art experiments to evaluate and enhance the safety of embodied systems, from small-scale prototypes to large, complex systems
• Develop and refine research methodologies to ensure experiments are conducted efficiently and yield reliable, actionable insights
  
  

• Optimize Research Workflows:
• Establish and fine-tune processes that facilitate large-scale, dependable research operations and field tests
• Implement systems that streamline data collection, analysis, and interpretation, promoting a seamless research environment
  
  

• Develop Supportive Tools and Infrastructure:
• Create software tools and frameworks that accelerate the pace of research and experimentation
• Enhance existing infrastructure to assist other teams in transferring research to real-world deployment
  
  

• Disseminate Research Findings:
• Contribute to the scientific community by publishing research outcomes in reputable journals and presenting at conferences
• Represent Field AI at industry events, sharing insights and advancements in robot safety
  

What You Have

• A Ph.D. or Master’s degree in Robotics, Computer Science, Electrical Engineering, or a related field
• Proficiency in programming languages such as Python and C++, along with experience with robotics frameworks like ROS/ROS2
• Strong understanding of state-of-the-art machine learning algorithms, from training to deployment, and their application in robotics; adept at managing large-scale datasets and optimizing data flow using parallel computing with GPUs and PyTorch
• Experience with robotics algorithms such as Simultaneous Localization and Mapping (SLAM), motion planning, task planning, single-agent and multi-agent control, sensor fusion, and obstacle avoidance etc
• Strong communication skills, with the ability to convey technical concepts to non-technical stakeholders
  

What Will Set You Apart

• A track record of published research in the field of robotic safety and/or embodied intelligence at venues like RSS, CoRL, ICRA, IROS, ISRR, AAAI, CVPR, ECCV, ICCV, AAAI, NeurIPS etc
• Experience with real-world field testing including building embedded systems and software stacks that utilize multiple sensor modalities like cameras, Lidars, thermal, RGB-D cameras
• Knowledge of generative AI techniques and their applications in enhancing robotic safety and performance
• Proven leadership skills, with experience mentoring junior researchers or engineers
  
  

• Ability to adapt to a fast-paced, innovative environment and manage multiple projects simultaneously
  

Our salary range is generous and we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.

Why Join Field AI?

We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.

You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. Witha decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.

Be Part of the Next Robotics Revolution

To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.

We are headquartered in always-sunny Mission Viejo (Irvine adjacent), Southern California and have US based and global teammates.

Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!

We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, martial status, mental or physical disability, or any other legally protected status.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

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