About Us: ZeroMark empowers US and allied forces with cutting-edge defense technology, elevating mission success and safeguarding personnel.
Our forte lies in a unique counter-drone solution, manifested through an AI-enabled auto-aiming system. By adapting commercial firearms with our convergence of computer vision and precision robotics, we transform handheld weapons into potent tools for automatically detecting, tracking, and neutralizing drones effortlessly.
We recognize that prevailing C-UAS strategies often leave dismounted personnel inadequately prepared to confront the swiftly advancing drone menaces. Our solution ensures that military and law enforcement entities are empowered with proficient drone deterrence and denial capabilities, integrated into the weaponry they already possess and will continue to carry. This approach sidesteps the impractical reliance on multi-million dollar assets to counter a $200 drone threat, presenting a pragmatic and cost-effective defense solution.
Job Description: We are seeking an experienced and highly motivated Principal Computer Vision Engineer to join our team. This role is focused on developing and optimizing advanced computer vision algorithms for aerial object detection and tracking. The ideal candidate will have a strong background in computer vision, machine learning, and deep learning, with experience in the defense sector.
Key Responsibilities:
Contribute to the implementation of computer vision algorithms for aerial object detection and tracking.
Conduct research and stay up-to-date with the latest advancements in computer vision and machine learning to ensure our solutions remain at the forefront of technology.
Collaborate with cross-functional teams, including software engineers, hardware engineers, and data scientists, to integrate computer vision solutions into our defense systems.
Optimize and enhance existing algorithms for improved accuracy, efficiency, and real-time performance.
Analyze and interpret complex data sets to improve detection and tracking accuracy.
Help ensure compliance with industry standards and regulatory requirements in all developed solutions.
Qualifications:
Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on computer vision and machine learning.
Minimum of 3 years of experience in computer vision and objection detection.
Strong programming skills in Python, C++, and familiarity with relevant libraries such as OpenCV, TensorFlow, PyTorch, etc.
Proven experience in developing and deploying machine learning and deep learning models in real-world applications.
In-depth knowledge of image processing, feature extraction, object detection, and tracking algorithms.
Excellent problem-solving skills, with the ability to think critically and innovate.
Strong communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders.
Ability to work effectively in a team-oriented, collaborative environment.
Preferred Qualifications:
Experience with drone technology and UAV systems.
Knowledge of radar, LIDAR, and other sensing technologies.
Familiarity with cloud computing platforms and edge computing.
What We Offer:
Competitive salary, equity, and benefits package.
Opportunity to work on cutting-edge technology with a significant impact on national security.
A collaborative work environment that values innovation.
Professional development opportunities and career growth.
