Sr Principal Engineer Material Process 18039
Northrop Grumman · Roy, UT · 1 mo ago
On-siteInformation TechnologyFull-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 vehicles.
- Collaborate with cross-functional teams to integrate AI solutions into product development cycles.
- Conduct research on emerging technologies and apply findings to enhance system performance.
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, or related field.
- 3+ years of experience in software engineering or related technical roles.
- Strong proficiency in Python, C++, and knowledge of deep learning frameworks like TensorFlow or PyTorch.
- Experience with ROS (Robot Operating System) and familiarity with robotics.
- Excellent problem-solving skills and ability to work independently and as part of a team.
Qualifications
- Passionate about innovation and technology.
- Ability to manage multiple projects simultaneously and meet deadlines.
- Good communication skills to explain technical concepts to non-technical stakeholders.
Skills
- Proficiency in programming languages such as Python, C++.
- Knowledge of deep learning libraries and frameworks.
- Experience with ROS and robotics.
- Understanding of computer vision and sensor fusion.
Benefits
- Competitive salary package.
- Flexible working hours and remote work options.
- Professional development opportunities and training programs.
- Health insurance and retirement plans.
Pay
$80,000 - $100,000 annually.
Schedule
Full-time, Monday through Friday, 9 AM to 5 PM.