Sr. Principal Systems Integration & Test Engineer
Northrop Grumman · Baltimore, MD · 2 wk ago
On-siteQuality AssuranceFull-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 qualifications include a Master's degree in Computer Science, Electrical Engineering, or a related field. Experience with Python, C++, and cloud-based platforms is preferred.
Qualifications
- Strong background in computer science or engineering.
- Experience with machine learning and AI frameworks.
- Knowledge of sensor processing and system optimization techniques.
- Ability to work independently and in a team environment.
Skills
- Proficiency in Python and C++.
- Experience with cloud platforms such as AWS or Google Cloud.
- Understanding of sensor data processing and system integration.
- Excellent problem-solving and analytical skills.
Benefits
Competitive salary, comprehensive health insurance, flexible working hours, professional development opportunities, and a supportive work culture.
Pay
$80,000 - $100,000 annually.
Schedule
Full-time, Monday to Friday, 9 AM to 5 PM.