Robotics & Machine Vision Postdoc: Autonomous Systems R&D

Sandia National Laboratories; New Mexico; Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Flexible work arrangements

Relocation assistance

Generous vacation

401k benefits

Job summary

Sandia National Laboratories is seeking a Postdoctoral Appointee to advance robotics and machine vision for national security. You will develop algorithms for autonomous perception, planning, and control of mechatronic systems, and help field robots and drone applications.

The role spans applied research to operational system delivery, with opportunities for collaboration, publishing results, and proposal development in a fast-paced team environment.

Qualifications

• PhD in Robotics/Mechanical/Electrical/Aerospace Engineering or Computer Science.
• Experience developing software algorithms or hardware realization.
• Programming in C++, Python or similar.
• Strong autonomous systems/robotics problem-solving abilities.

Responsibilities

• Develop novel algorithms for autonomous perception, planning, and action.
• Develop and field robots, actuators, and autonomous control systems including drone applications.
• Collaborate in multidisciplinary teams on R&D projects for national security.
• Publish results in peer-reviewed journals and contribute to proposals.

Skills

PhD required

C/C++

Python

Matlab

ROS/ROS2

Docker

Git workflows

Machine learning

Control theory

Multi-sensor perception

Autonomous systems

Education

PhD in robotics/engineering/CS

Tools

Docker

ROS/ROS2

Git

Python

C++

Matlab

Job description

Sandia National Laboratories is seeking a Postdoctoral Appointee to advance robotics and machine vision for national security. You will develop algorithms for autonomous perception, planning, and control of mechatronic systems, and help field robots and drone applications.

The role spans applied research to operational system delivery, with opportunities for collaboration, publishing results, and proposal development in a fast-paced team environment.