Senior Computer Vision Engineer (all genders)

STARK; Berlin; Vor Ort; EUR 90.000 - 125.000; Vollzeit

Zusammenfassung

STARK in Berlin develops high-performance unmanned systems and seeks a senior Computer Vision expert to drive real-time CV on our autonomous vehicles. You will implement cutting-edge object detection, tracking and guidance algorithms and bring them from research to hardware deployment.

The role requires a Bachelor's or Master's in Engineering, 7+ years as a CV generalist, and strong Python and C++. Robotics or aerospace experience is a plus, with frequent collaboration in a fast-paced startup

Qualifikationen

• Bachelor's or Master's degree in Engineering or related field
• Minimum of + 7 years of experience working as Computer Vision generalist
• Advanced use of Python and strong in C++
• Robotics, autonomous driving or aerospace experience is a big plus
• Excellent problem-solving skills and the ability to troubleshoot and resolve issues
• Strong communication and collaboration skills to work effectively in a multidisciplinary team environment
• Adaptability to work in a fast-paced, dynamic startup environment with a strong drive for innovation and continuous improvement
• Ability to travel as needed

Aufgaben

• Coding!
• Building in areas including Object Detection, Tracking and guidance, target re-identification
• Working through software design, and architecture, all the way through to implementation
• Integrating onto our hardware in realtime
• Stay current with emerging technologies and industry trends, recommending and implementing innovations to improve our products and processes
• Dive deep into the details to identify, understand, and solve difficult technical problems
• Constantly be challenging requirements to determine what adds value and what is not

Jobbeschreibung

STARK is a new kind of defence technology company revolutionizing the way autonomous systems are deployed across multiple domains. We design, develop and manufacture high performance unmanned systems that are software-defined, mass-scalable, and cost effective. This provides our operators with a decisive edge in highly contested environments. We’re focused on delivering deployable, high-performance systems - not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe - today.

About the Role

You will be developing cutting-edge Computer Vision solutions and algorithms for our autonomous vehicles, bringing these onto our hardware in real time.

Responsibilities

• Coding!
• Building in areas including Object Detection, Tracking and guidance, target re-identification
• Working through software design, and architecture, all the way through to implementation
• Integrating onto our hardware in realtime
• Stay current with emerging technologies and industry trends, recommending and implementing innovations to improve our products and processes
• Dive deep into the details to identify, understand, and solve difficult technical problems
• Constantly be challenging requirements to determine what adds value and what is not

Qualifications

• Bachelor's or Master's degree in Engineering or a related field
• Minimum of + 7 years of experience working as Computer Vision generalist
• Advanced use of Python and strong in C++
• Robotics, autonomous driving or aerospace experience is a big plus
• Excellent problem-solving skills and the ability to troubleshoot and resolve issues
• Strong communication and collaboration skills to work effectively in a multidisciplinary team environment
• Adaptability to work in a fast-paced, dynamic startup environment with a strong drive for innovation and continuous improvement
• Ability to travel as needed

Required Skills

• Advanced use of Python
• Strong in C++
• Excellent problem-solving skills
• Strong communication and collaboration skills

Preferred Skills

• Robotics, autonomous driving or aerospace experience

Pay range and compensation package

Equal Opportunity Statement

STARK is committed to diversity and inclusivity in the workplace.