Principal Project Manager
Northrop Grumman · Elkton, MD · 3 wk ago
On-siteInformation TechnologyFull-time
About the role
The role involves developing advanced algorithms for autonomous systems. This includes designing machine learning models, integrating sensor data, and optimizing system performance.
Responsibilities
- Develop and implement machine learning models for autonomous systems.
- Integrate sensor data streams into the system architecture.
- Optimize system performance through continuous testing and refinement.
- Collaborate with cross-functional teams to ensure seamless integration of new technologies.
Requirements
Minimum requirements include a Master's degree in Computer Science, Electrical Engineering, or a related field. Experience with Python, C++, and familiarity with ROS (Robot Operating System) is preferred.
Qualifications
- Strong background in algorithm design and optimization.
- Experience with machine learning frameworks such as TensorFlow or PyTorch.
- Knowledge of robotics and sensor integration techniques.
- Excellent problem-solving skills and ability to work independently and collaboratively.
Skills
- Proficient in Python and C++.
- Familiarity with ROS and other robotics software platforms.
- Experience with sensor data processing and analysis.
- Strong analytical and problem-solving skills.
Benefits
Competitive salary, comprehensive health insurance, flexible working hours, professional development opportunities, and a supportive team environment.
Pay
$80,000 - $100,000 annually.
Schedule
Full-time, Monday to Friday, 9 AM to 5 PM.