Principal/ Sr. Principal Pricing Cost Estimating
Northrop Grumman · Elkton, MD · 1 mo ago
On-siteEngineeringFull-time
About the role
The role involves developing advanced algorithms for autonomous systems. This includes designing machine learning models, conducting simulations, and integrating hardware components.
Responsibilities
- Develop and optimize machine learning models for autonomous vehicle applications.
- Conduct rigorous testing and validation of algorithms through simulation environments.
- Collaborate with cross-functional teams including software engineers, mechanical engineers, and data scientists.
- Write comprehensive technical documentation for project deliverables.
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, or related field.
- Minimum 3 years of experience in algorithm development and machine learning.
- Proficiency in Python, C++, and knowledge of deep learning frameworks like TensorFlow or PyTorch.
- Experience with ROS (Robot Operating System) and familiarity with sensor integration.
- Strong problem-solving skills and ability to work independently and in a team environment.
Qualifications
- Passionate about cutting-edge technology and innovation.
- Excellent communication and interpersonal skills.
- Ability to manage multiple projects simultaneously and meet deadlines.
Skills
- Machine Learning
- Autonomous Systems
- ROS
- Python
- C++
- Deep Learning
Benefits
- Competitive salary package.
- Flexible working hours and remote work options.
- Professional development opportunities and training programs.
- Health insurance and retirement benefits.
Pay
$80,000 - $100,000 annually.
Schedule
Full-time, Monday to Friday, 9 AM to 5 PM.