Job ID: 2611299
Location: San Diego, CA, US
Date Posted: 2026-04-14
Category: Engineering and Sciences
Subcategory: Systems Engineer
Schedule: Full-Time
Shift: Day Job
Travel: No
Minimum Clearance Required: Secret
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: ORA_ON_SITE
Description Principal Systems Engineer SAIC - San Diego, CA About SAIC Science Applications International Corporation (SAIC) is a premier technology integrator solving our nation's most complex modernization and readiness challenges. In the maritime and naval domain, SAIC delivers
advanced autonomous systems, AI/ML solutions, and mission-critical technologies to support the warfighter. Our San Diego presence places us at the heart of
Naval Information Warfare and cutting-edge maritime autonomy development.
Your Impact As a
Principal Systems Engineer you will directly in support
U.S. Navy programs by developing and integrating autonomous systems, computer vision solutions, and real-time analytics for unmanned maritime platforms. You will work alongside engineers and technicians to deliver
mission-critical capabilities and push the future of cutting edge technologies.
JOB DUTIES: Autonomous Systems & Integration - Support and lead integration and test events for validation of autonomy algorithms on unmanned maritime platforms
- Develop and implement real-time data analytics and scoring frameworks for collaborative autonomy field experiments
- Research and evaluate decentralized database solutions for unmanned systems operating in Degraded, Disconnected, Intermittent, and Limited (DDIL) communication environments
- Interface directly with Navy customers and program offices to define and deliver technical requirements
Computer Vision & AI/ML - Train, optimize, and deploy deep learning models for object detection and classification on power-constrained edge platforms
- Implement and evaluate state-of-the-art computer vision algorithms including:
- SLAM and real-time localization
- 3D reconstruction and photogrammetry
- Optical flow and image stitching
- Ship and object detection
- Leverage NVIDIA Jetson and similar edge computing platforms for embedded AI deployment
Embedded Systems & Hardware - Design and develop embedded firmware for microcontroller-based systems
- Design, test, and assemble PCBs for prototype and product development
- Research and implement RTOS solutions and mesh networking algorithms for sensor networks
- Integrate and characterize LIDAR, SONAR, RGBD, and optical sensors
Qualifications REQUIREMENTS:- Bachelors and nine (9) years or more experience; Master's in Computer Science, Computer Engineering, Electrical Engineering, or related field and seven (7) years or more experience; PhD or JD and four (4) years or more experience.
- 5+ years of relevant experience in:
- Autonomous systems and robotics
- Computer vision and deep learning
- Embedded systems development
- Must have an Active Secret clearance to start
- Strong proficiency in C++, C, and Python
- Hands-on experience with ROS, OpenCV, and PyTorch
- Experience deploying AI/ML models on edge hardware (NVIDIA Jetson or equivalent)
- Demonstrated experience with systems integration and field testing
DESIRED SKILLS:- Experience supporting NIWC Pacific or Naval programs in San Diego
- Background in maritime/underwater autonomous systems (AUVs, USVs, UAVs)
- Familiarity with synthetic aperture sonar and underwater sensing
- Experience with SfM, photogrammetry, and 3D capture workflows
- Knowledge of decentralized and mesh networking protocols
- Proficiency with Docker and Linux environments (Ubuntu, Red Hat)
- Experience with PCB design tools (EAGLE CAD or equivalent)
- Prior recipient of SMART Scholarship or DoD fellowship
Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 10111346
- Position Id: 2611299
- Posted 12 hours ago
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