Sentinel Manager Software Quality 2 - 17877
Northrop Grumman · Huntsville, AL · 3 mo ago
On-siteQuality AssuranceFull-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 in simulated environments.
- Collaborate with cross-functional teams to integrate developed systems into operational vehicles.
- Stay updated with the latest research trends and technologies in AI and robotics.
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, or related field.
- Minimum 3 years of relevant experience in software development and algorithm design.
- Strong proficiency in Python and C++ programming languages.
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Knowledge of sensor fusion techniques and familiarity with ROS (Robot Operating System).
- Excellent problem-solving skills and ability to work independently and in a team environment.
Qualifications
- Passionate about innovation and pushing the boundaries of autonomous technology.
- Ability to work under tight deadlines and manage multiple projects simultaneously.
- Strong communication skills to effectively collaborate with stakeholders and team members.
Skills
- Deep understanding of machine learning principles and their practical applications.
- Hands-on experience with hardware integration and system-level testing.
- Proficiency in MATLAB or similar simulation tools.
- Experience with ethical considerations in AI and autonomous systems.
Benefits
- Competitive salary package.
- Flexible working hours and remote work options.
- Inclusive culture that values diversity and inclusion.
- Continuous professional development opportunities.
- Access to state-of-the-art facilities and equipment.
Pay
$80,000 - $100,000 annually.
Schedule
Full-time, Monday through Friday, 9 AM to 5 PM.