Robotics and Autonomous Control Systems Engineer - Associate Staff
MIT Lincoln Laboratory
The Control and Autonomous Systems Engineering Group is focused on the synthesis of dynamic and complex control and autonomous systems, from concept to realization, for a wide variety of prototypes. The group works in multi-disciplinary teams to envision and create complex demonstration prototypes (primarily unmanned) and innovative solutions to challenging national security problems.
We are a dynamic group where learning new concepts and sharing knowledge is an important part of our culture. Group 76 works with every Lincoln Division and has some sponsor-direct programs as well. Apply your expertise to a new domain or new mission area and help create first-time prototypes that move in every physical domain.
Research and development topics utilized during physical prototype development or novel internally-funded research may include, but are not limited to, the following:
- Feedback control, state estimation, and system identification of dynamical systems
- Modeling and fusion of sensors (e.g., GPS, IMU, LIDAR)
- Path-planning and scheduling algorithms for one or more agents
- SLAM in dynamic environments with sensor and communication constraints
- Computer vision; image and video processing
- Modeling, simulation, and analysis of complex dynamical systems
Hands-on team-based experience, a driven and self-motivated attitude, and a highly-skilled software engineering background are critically important to the role. The successful candidate is expected to collaborate well within teams of various sizes, think critically and creatively about challenging problems, and communicate designs and results clearly to both internal peers and external program sponsors.
The successful candidate will assume responsibility for contributing to novel capabilities of national significance. The candidate will have the opportunity to work with unique advanced sensors, communication systems, and unmanned platforms. The candidate will be supported with first-rate hardware, test infrastructure, talented peers, and a work environment that values excellence, continuous learning, and work-life balance.
- An M.S. degree in an engineering-related discipline (e.g., mechanical or electrical engineering, physics, applied mathematics) with coursework and emphasis on autonomous systems. In lieu of an M.S., a B.S. degree with 3+ years of experience conducting applied research in a directly related field
- Successful completion of complex hands-on projects involving autonomous or robotic systems operating in real-world environments
- Experience developing software in a collaborative, structured, and process-driven environment
- Knowledge of software engineering best practices
- Strong programming skills in a multi-threaded systems language (e.g., C++, Rust), a scripting language (e.g., Python), and a data analysis language (e.g., Julia, MATLAB)
- Experience with a software version control system
- Excellent written and verbal communication skills, strong self-motivation, demonstrated ability for independent work
Additional Desired Skills (not required):
- Experience with Robot Operating System (ROS & ROS2)
- Experience with machine learning frameworks (e.g., PyTorch)
- Experience with simulation environments (e.g., Gazebo)
- Experience writing low-level hardware drivers in Linux
Job Type – Primarily onsite with appropriate remote work possible.
Successful candidates will be submitted for Top Secret Clearance for future program needs.
For Benefits Information, click http://hrweb.mit.edu/benefits
Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.
MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.
Requisition ID: 38661