About Odysight.AI
Odysight.AI is pioneering the Predictive Maintenance (PdM) and Condition Based Monitoring (CBM) markets with its visualization and AI platform. Providing video sensor-based solutions for critical systems in the aviation, transportation, and energy industries, Odysight.AI leverages proven visual technologies and products from the medical industry. Odysight’s unique video-based sensors, embedded software, and AI algorithms are being deployed in hard-to-reach locations and harsh environments across a variety of PdM and CBM use cases. Odysight’s platform allows maintenance and operations teams visibility into areas which are inaccessible under normal operation, or where the operating ambience is not suitable for continuous real-time monitoring.
We are seeking an experienced hands-on Chief Systems Engineer to join our R&D team. If you are passionate about pushing boundaries and developing complex multidisciplinary solutions that are disrupting the market, this is the perfect opportunity for you!
As a Chief Systems Engineer, you will play a pivotal role in driving the design, development, and deployment of innovative solutions, and will be leading a group of talented systems engineers to do so.
In your day-to-day you’ll
- Lead the conceptualization, architecture design, development, integration and testing of complex AI and vision systems to perform Prognostic Health Monitoring (PHM) for multiple applications, including aerospace, industry 4.0 and more.
- Collaborate with cross-functional teams including embedded and cloud software engineers, hardware engineers, AI specialists, systems engineers and product managers to define system requirements, specifications, and design.
- Oversee the implementation of advanced AI algorithms and computer vision techniques over Edge AI devices, in combination with IoT technologies, mobile computing devices and cloud based systems.
- Develop and maintain system-level documentation, including architecture diagrams, interface control documents, test plans, and technical reports to facilitate communication and knowledge sharing across the organization.
- Provide technical leadership, guidance, and mentorship to the Systems Engineering team, fostering a culture of innovation, collaboration, and continuous improvement.
- Lead technology evaluations, feasibility studies, and risk assessments to identify potential challenges, limitations, and opportunities associated with the adoption of AI and vision technologies in aerospace systems.
- Lead technically multiple projects in parallel
- Support marketing efforts and sales activities – build technical proposals, prepare budget proposals, and participate in discussions with customers.
To excel in this role, we need you to have
- Bachelor’s degree in Electrical Engineering, Computer Science, or a related field; advanced degree preferred.
- Proven track record of 10+ years of experience in leading systems engineering of complex multidisciplinary systems, with a focus on embedded systems, aerospace systems, AI, and computer vision.
- Deep practical knowledge of complete development lifecycle processes such as traditional waterfall as well as Agile methodologies.
- Great system view and understanding of user needs transformation to requirements and specifications.
- Familiarity with software development frameworks, methods and tools for Embedded systems, AI and machine learning.
- Excellent problem-solving skills, analytical capabilities, and attention to detail, with the ability to manage complex projects, prioritize tasks, and meet aggressive deadlines.
- Effective communication skills, with the ability to articulate technical concepts and insights to diverse stakeholders, including executives, engineers, customers, and partners.
- Proven leadership experience, with the ability to inspire, motivate, and mentor cross-functional teams in a dynamic and fast-paced environment.
- Experience leading a group of systems engineers
- Willingness to travel abroad on a short notice
You can stand out from the crowd if you are
- With deep knowledge of computer vision sensors development.
- With deep understanding of defense and aerospace systems, including avionics.
- Hands-on development experience with image/video-based systems, Edge AI systems, IoT devices, and camera sensors, combined with cloud based systems.
Join our team today and be part of a dynamic and innovative company that is shaping the future of technology. Apply now and fulfill your potential!
