Principal Engineer DevOps
Northrop Grumman · Melbourne, FL · 3 mo ago
On-siteEngineeringFull-time
About the role
The role involves developing advanced algorithms for autonomous systems. This includes designing machine learning models and integrating them into complex robotic platforms.
Responsibilities
- Develop and optimize machine learning models for autonomous systems
- Collaborate with cross-functional teams to integrate models into robotic platforms
- Conduct research on new algorithms and technologies for autonomous systems
- Write technical documentation and present findings to stakeholders
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, or related field
- 3+ years of experience in machine learning and robotics
- Strong programming skills in Python and C++
- Experience with ROS (Robot Operating System)
- Knowledge of deep learning frameworks such as TensorFlow or PyTorch
Qualifications
- Passionate about solving complex engineering problems
- Excellent problem-solving and analytical skills
- Ability to work independently and as part of a team
- Strong communication skills
Skills
- Machine Learning
- Robotics
- Deep Learning
- ROS
- Python
- C++
Benefits
Competitive salary, comprehensive benefits package, professional development opportunities, and a dynamic work environment.
Pay
$80,000 - $100,000 annually
Schedule
Full-time, Monday through Friday, 9 AM to 5 PM