Resource Constraint adaptive computing: Algorithm and optimization for ARL Autonomy Stack

ORAU; Aberdeen (MD); On-site; USD 27,552 - 41,328; Part time

Job summary

ORAU offers an internship at the Army Research Laboratory in Aberdeen, Maryland, focusing on optimizing computational perception algorithms for autonomous vehicles.

The position is ideal for graduate students with US citizenship or green card holders, allowing them to develop skills in Python and C++, while working on real-world applications in robotics.

Qualifications

• Must be willing to learn new technologies.
• Graduate students with US citizenship or green card holders.

Responsibilities

• Use Python, C++, and software repositories to develop solutions.
• Optimize deep learning perception algorithms.
• Create Docker images for perception algorithms.
• Deploy machine learning algorithms in a ROS environment.
• Document and publish results in technical reports.

Skills

Python

C++

Deep Learning

Docker

Education

Currently pursuing a Master's or Doctoral degree

Job description

Overview

There is an internship opportunity at Army Research Laboratory at Aberdeen Proving Ground for graduate students with US citizenship or green card holders. The ARL team focuses on optimizing computationally expensive perception algorithms in the autonomy stack. Autonomous vehicles use sensors such as RGB cameras and Lidar to sense the environment and build world maps for autonomous maneuver. The team will develop approaches to optimize perception algorithms to fit tactical unmanned vehicles (UGVs) with limited computing resources, achieving real‑time operation and mission success. The student will work closely with ARL researchers to optimize and integrate containerized machine‑learning algorithms into UGVs and evaluate model performance in lab and field tests.

Responsibilities

• Use Python, C++, and software repositories to develop solutions.


• Optimize deep learning perception algorithms.


• Use containerization technologies such as Docker to create Docker images for perception algorithms to be evaluated in a ROS environment.


• Deploy machine learning algorithms in a ROS environment on UGVs.


• Document and publish the results in technical reports or conference papers.

Eligibility & Qualifications

Candidate does not need to have all skills right now but must be willing to learn new technology.

• Currently pursuing a Master’s or Doctoral degree.


• Graduate students with US citizenship or green card holders.

Organization

DEVCOM Army Research Laboratory

Reference Code

ARL-R-CISD-300163-NCCS