Robotics Engineer - Multi-Agent Perception and Planning-Technical Staff

Massachusetts Institute of Technology; Lexington (MA); On-site; USD 90,000 - 130,000; Full time

Job summary

The Control and Autonomous Systems Engineering Group at MIT Lincoln Laboratory seeks a Robotics Engineer to lead innovations in autonomous systems. This role focuses on developing algorithms for sensor fusion and enhancing communication among autonomous platforms. Candidates with a Ph.D. or M.S. and experience in relevant fields are encouraged to apply.

Qualifications

• Ph.D. or M.S. with significant experience in multi-agent sensor fusion.
• Strong programming skills in C++, Python, Julia, or MATLAB.
• Experience with machine learning frameworks and computer vision is desirable.

Responsibilities

• Develop perception algorithms for real-time data fusion across autonomous agents.
• Design systems for communication and data sharing between platforms.
• Collaborate on prototyping and testing multi-agent systems in real-world scenarios.

Skills

C++

Python

Julia

MATLAB

Machine Learning

Computer Vision

Problem Solving

Communication

Education

Ph.D. in Computer Science, Robotics, Electrical Engineering, or related field

M.S. with 5+ years of experience

Job description

Position Description

The Control and Autonomous Systems Engineering Group at MIT Lincoln Laboratory is seeking a dedicated Robotics Engineer to lead and innovate in the field of autonomous systems. In this role, you will focus on developing and implementing advanced algorithms that enable multiple autonomous systems to fuse local sensor information into a global representation such that the entire team can plan effectively despite uncertainties. This critical function enhances situational awareness and decision-making capabilities across various domains including ocean, land, air, and space environments.

Key Responsibilities

1. Develop state-of-the-art perception algorithms that allow for real-time data fusion, tracking, and interpretation across multiple autonomous agents
2. Design and implement systems that enhance communication and data sharing between autonomous platforms, ensuring efficient integration and processing of shared information
3. Collaborate with cross-functional teams to prototype and field test multi-agent systems in real-world scenarios

Minimum Requirements

• A Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related field
• Background in algorithm development for multi-agent sensor fusion. A track record of publications in this area is desired. Well-qualified candidates with a M.S. and 5+ years of experience are also encouraged to apply
• Strong programming skills in C++, Python, Julia, MATLAB, or similar languages
• Experience with machine learning frameworks (e.g., PyTorch) and computer vision is highly desirable. Factor Graph optimization experience is also highly desirable
• Excellent problem-solving skills and the ability to work in a dynamic, interdisciplinary team
• Strong communication skills, with the ability to convey complex technical details coherently