Opportunity Summary

Are you ready to work at the forefront of innovation, where cutting-edge video processing technology meets advanced aerospace applications? Join a dynamic, venture-backed startup that’s making waves in the aerospace and defense tech sectors. With a focus on real-time machine vision and AI/ML solutions, this company is revolutionizing how video data is processed for aerospace operations.

We are actively seeking experienced and driven Machine Vision Engineers to contribute to the development of state-of-the-art video software for aerospace applications. This role is perfect for those who thrive in fast-paced, high-tech environments and are excited by the opportunity to solve real-world challenges. You'll lead the development of advanced video processing algorithms and AI models on embedded systems, playing a critical role in making groundbreaking contributions to both space exploration and defense. If you're passionate about using your expertise in AI, machine vision, and embedded systems to tackle some of the most complex challenges in aerospace, this is the role for you. Step into a future-shaping position where your contributions will have a lasting impact on the next era of space exploration and national security.

About Us

We are a fast-growing, venture-backed startup at the intersection of aerospace, defense, and deep technology. Focused on developing cutting-edge machine vision and AI solutions, we are transforming how video processing is used in critical aerospace applications. Based in a hub of technological innovation, we bring together a team of world-class engineers, researchers, and industry experts to push the envelope in the development of real-time video analytics for airborne and ground-based systems.

Our mission is to drive advancements in aerospace by leveraging the power of AI, machine learning, and embedded systems. With a robust patent portfolio and proprietary software suite, we are focused on providing innovative solutions to the aerospace industry. Whether it’s space exploration or national defense, our work directly contributes to the safety, efficiency, and technological progress of these critical sectors. As a well-funded startup with a proven track record and ambitious growth plans, we offer an exciting and fast-paced environment where creativity and expertise can thrive.

Job Duties

• Design, develop, and implement advanced machine vision algorithms for identifying, tracking, and classifying airborne and ground-based objects using high-speed cameras.
• Optimize AI/ML models for deployment on embedded platforms, balancing factors such as memory use, processing power, and energy efficiency.
• Lead and participate in the entire software development lifecycle, from design and prototyping to deployment and performance tuning.
• Conduct performance analysis and troubleshooting to ensure real-time, high-performance video processing on embedded systems.
• Stay ahead of the latest innovations in AI, machine learning, and computer vision, integrating new technologies into ongoing projects.
• Document and effectively communicate complex technical concepts to team members and stakeholders.
• Provide mentorship to junior engineers, offering technical guidance and support to help them grow within the organization.

Qualifications

• Bachelor’s or advanced degree in Computer Science, Data Science, Electrical Engineering, Physics, or a related field.
• At least 3 years of hands-on experience developing and implementing machine vision and machine learning algorithms.
• Strong coding skills in C/C++ and Python, with embedded software development experience being a plus.
• In-depth knowledge of AI/ML frameworks and techniques, as well as expertise in computer vision.
• Experience with hardware-software integration and optimization for embedded systems, including GPU acceleration and multi-core processing.
• Familiarity with embedded platforms like ARM-based systems and microcontrollers.
• Competency in real-time operating systems (RTOS) and embedded systems development.
• Excellent problem-solving skills and the ability to work both independently and as part of a collaborative team.
• Strong communication skills for effectively conveying technical concepts to both technical and non-technical audiences.

Preferred Experience

• Hands-on experience with camera systems and image processing techniques.
• Experience with GPU programming, FPGA implementation, or parallel processing in embedded systems.

Security Clearance:

• Must be eligible for a U.S. Secret security clearance; TS/SCI clearance is preferred.

Compensation: $150,000 - $190,000 / year