Image Processing Lead

SNC is seeking an experienced and visionary Image Processing Software Lead to architect, develop, and implement advanced image processing algorithms and software for a state-of-the-art airborne platform.

In this pivotal role, you will:

Collaborate Across Disciplines: Partner closely with system, electrical, mechanical, and optical engineers to deliver specialized image processing software that integrates seamlessly with hardware components.
Innovate and Lead: Drive the development of advanced radiometric image processing algorithms and cutting-edge features for real-time imagery analysis, ensuring high-quality outputs.
Team Leadership: Lead a talented team of software engineers, ensuring effective task prioritization, on-schedule execution, and high morale while fostering a collaborative and innovative environment.
Risk Management: Proactively identify potential risks related to image processing software development and develop robust mitigation plans to ensure project success.
Prototype Development: Work on innovative prototype solutions in the lab, pushing the boundaries of what’s possible in image processing technology.
Performance Tracking: Oversee and track key performance requirements throughout the program lifecycle, ensuring that all image processing objectives are met.
To excel in this role, you’ll need a blend of strong leadership skills, technical expertise in image processing, and a knack for strategic risk management. If you're passionate about driving technological advancements in image processing and thrive in a dynamic, multidisciplinary environment, we want to hear from you!

The ISR (Intelligence, Surveillance & Reconnaissance), Aviation, and Security (IAS) business area is a leader in ISR and aviation, it is a leading prime manned and unmanned aircraft systems integrator for innovative, high-performance ISR and aviation systems. Its end-to-end Command, Control, Computers, Communications and Intelligence, Surveillance & Reconnaissance (C4ISR) capabilities encompass design, integration, test, certification, ground/flight training and complete logistics support. IAS tailors solutions to customer cost, performance, and schedule requirements and designs to consistently exceed expectations – with an unrivaled record of on time and on (or under) budget deliveries. https://www.sncorp.com/company/business-areas/

Here’s what you can expect:

• Generous paid time off and flex time
• Friendly and talented colleagues
• Exclusive SNC company events
• Leadership and development training
• SNC Mentorship Program
• Education reimbursement
• Modern Campus setting built with collaboration spaces, spectacular mountain views and natural light throughout
• Free to use fitness center on-site
• State-of-the-art coffee house
• Full-service Cafeteria with planned breakfast and lunch options
• Access to walking and biking trails

Responsibilities:

• Lead and architect the system image pipeline software development effort
• Perform signal analysis to evaluate quality of image processing algorithms and systems
• Perform analysis and characterization of imaging sensors
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency)

Must-haves:

• Bachelor's of Science degree Computer Science, Software Engineering or other related discipline and typically 14 or more years of relevant experience
• Higher education may substitute for relevant experience
• Advanced capabilities using Computer Aided Engineering tools
• Demonstrated knowledge of engineering principles and practices
• Experience working in multi-disciplinary teams
• 8 years of experience in image processing, digital signal processing or related field
• Knowledge of complete camera processing pipeline and image and video processing techniques, including image enhancement, auto exposure control, color correction, noise reduction, etc.
• Experience with containers and orchestration technologies
• Experience with real-time algorithm development for video applications
• Knowledge of DSP techniques (for example: fixed-point processing, sampling theory, interpolation, filtering and filter design, linear system decomposition)
• Knowledge of color science concepts, colorimetry, image sensing technology, and digital video formats
• Able to work in cross-functional teams and lead other engineers to ensure the work is of good quality and the right decisions are made for the product
• Familiarity with video object detection and tra