Principal Industrial Engineer
Northrop Grumman · Sunnyvale, CA · 2 wk ago
On-siteManufacturingFull-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 systems.
Responsibilities
- Develop and optimize machine learning models for autonomous systems.
- Collaborate with cross-functional teams to integrate AI solutions into robotic platforms.
- Conduct research on emerging technologies to enhance system capabilities.
- Write comprehensive technical documentation for project deliverables.
Requirements
- Bachelor's degree in Computer Science, Engineering, or related field.
- Minimum 3 years of experience in software development and machine learning.
- Strong proficiency in Python and other relevant programming languages.
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Knowledge of ROS (Robot Operating System) and sensor integration.
- Excellent problem-solving skills and ability to work independently.
Qualifications
- Passionate about robotics and artificial intelligence.
- Ability to work in a fast-paced environment with tight deadlines.
- Experience with hardware prototyping and testing.
- Good communication skills to collaborate with non-technical team members.
Skills
- Machine Learning
- Python Programming
- ROS (Robot Operating System)
- Deep Learning
- Robotic Systems Integration
Benefits
This role offers competitive compensation, flexible working hours, and opportunities for professional growth within a leading technology company.
Pay
$80,000 - $100,000 annually based on experience.
Schedule
Full-time, Monday through Friday, with occasional evening and weekend work as needed.