Join Our Mission to Save Lives!

DYM Sense is pioneering non-invasive alcohol detection technology for vehicles, ensuring drivers are sober before starting the car. With a single touch, our sensor identifies the driver, measures alcohol levels, and can prevent vehicle operation if necessary.

Our compact finger pad sensor integrates seamlessly into a vehicle’s start button or steering wheel, making it an effortless solution for safety enforcement.

At DYM Sense, we are dedicated to removing the human factor from impaired driving decisions. Our innovative system is set to play a crucial role in upcoming regulations, keeping drunk drivers off the road and saving lives.

Learn more: www.DYMsense.com

We are looking for a hands-on Software & Algorithm Team Leader to lead the development of automotive-grade software and algorithms in a startup environment. This role requires both technical expertise and leadership skills to drive the development of signal processing, embedded software, and system integration while ensuring compliance with automotive safety standards (ASPICE, ISO 26262).

You will define processes, manage projects, and mentor engineers, while also collaborating with external partners and subcontractors.

• Define and implement software development processes aligned with automotive standards.
• Lead the integration of embedded software, mobile applications, and system connectivity.
• Design, develop, and optimize real-time software and algorithms for analyzing biological signals.
• Oversee software architecture, debugging, and performance optimization.

• Lead and mentor a small team of software engineers.
• Coordinate subcontractors and external partners across multiple disciplines.
• Drive software roadmaps, timelines, and priorities in a fast-paced startup environment.

• Ensure compliance with ASPICE, ISO 26262, and other automotive safety regulations.
• Manage testing and validation of software components.
• Work with hardware engineers and data scientists to ensure seamless integration.
  

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• Proven experience leading software teams in automotive, embedded systems, or safety-critical domains.
• Strong programming skills in C, C++, Python, or MATLAB.
• Expertise in signal processing, real-time decision-making, and embedded software.
• Familiarity with automotive safety standards (ASPICE, ISO 26262).
• Excellent problem-solving, leadership, and communication skills.

• Experience developing biological or physiological monitoring systems.
• Knowledge of wireless communication protocols (Bluetooth, Wi-Fi).
• Familiarity with real-time operating systems (RTOS).
• Experience with machine learning and statistical analysis.