C++ Software Developer for Perceived Road Estimation

Om jobbet

About the team
We are hiring an experienced C++ developer for the Perceived Road Estimation team which consists of 4 developers in a dynamic team. We are now looking for you who want to join us as number 5. The task of the Perceived Road Estimation team is to deliver an accurate and robust real-time road model based solely on car-equipped sensors. Tasks such as lane tracking and road situation assessment, to be used by safety decision features, are important parts of the team's responsibility. In the team, you will be working with highly skilled people in a collaborative agile team, in a department working all the way from pixel to torque.
About Zenseact
Zenseact's purpose is to make safe and intelligent mobility real, for everyone, everywhere. We develop the complete software stack for ADAS and AD, from sensing to actuation. Our focus is to build a single cutting-edge software platform in order to serve various levels of autonomy and offer unequaled scalability at the same time. Zenseact's first self-driving deployment will be launched on the next-generation vehicle platform from Volvo Cars.
Your mission & day-to-day tasks
In this role, you shape our product in an exciting industry with the mission to save lives and form the future of mobility. You will spend your days doing a mix of the following:

• Develop production code and tests in C++
• Data-driven algorithmic enhancements, using Python scripts
• Develop state-of-the-art algorithms for safety-critical applications, for example, estimation of lane boundaries, road work detection and road geometry fusion
• Keep up to date with recent advancements within the field of sensor fusion & estimation
• Deploy and test your software in a car and simulation environment

Your background & experience
Must-have:

• 3+ years of industrial experience in C++ SW development
• Programming in C++ is your passion
• You embrace the agile development mindset
• Test-driven development attitude

Nice-to-have:

• Experience in developing embedded real-time algorithms
• Programming experience with Python
• Machine learning knowledge
• Control theory knowledge
• Knowledge in signal processing
• Automotive experience
• Experience using data from different sensor sources
• Functional safety experience

We strive for a T-shaped competence profile for all team members, so every member must be open to work on all topics relevant for the team while still fostering their special expertise.
More about Zenseact
Self-driving cars, when real, is estimated to reduce fatal car accidents with more than 85%, saving more than 50,000 persons from dying in car accidents caused by human errors each year. We feel that is a goal worth pursuing. But technology, software, tools and datasets would not mean much without the best people behind the wheel to drive them. At Zenseact, some five hundred of the best engineering minds globally, stationed across two continents, are collaborating with the same passion: to bring autonomous driving to the streets for real and create a safer journey for everyone. This is part of our culture and how we work, develop and grow together.

Flexible-remote way of working: Zenseact has a flexible and modern approach, thus is happy to offer to its employees the possibility for a combination of work at the office and from home. This doesn't include fully remote work from outside Sweden/China.

Zenseact works proactively to create a culture of diversity and inclusion, where individual differences are appreciated and respected. To drive innovation we see diversity as an asset, which means we value and respect differences in gender, race, ethnicity, religion or other belief, disability, sexual orientation or age etc.

Interviews are held on a continuous basis, so we highly recommend that you submit your application at your earliest convenience.