Computer Vision engineer with Deep Learning experience

How would it feel to work at the cutting edge of Deep Learning and Computer Vision, combining advanced embedded software development with the mission to create safer roads?

Imagine collaborating with highly skilled engineers and researchers from all over the world, accessing one of Swedens largest GPU clusters, and seeing your ideas come to life in a real car within a day. All of this in an environment that values innovation, trust, and collaboration while fostering a warm and inclusive culture. If this excites you, apply today - no CV is needed at the first stage, just your contact details. Lets take it from there!

Insights from the team

The Deep Learning and Computer Vision teams at Zenseact are at the core of our mission: enabling self-driving cars and accelerating towards zero traffic accidents. This is one of the most challenging Deep Learning use cases, requiring cutting-edge solutions at the forefront of technology.

At Zenseact, we heavily invest in people and infrastructure to support our journey. With one of Swedens largest GPU clusters and growing Deep Learning teams, we work on complex perception tasks. These range from single-sensor setups with late fusion to early sensor fusion with temporal processing, all the way to end-to-end systems outputting on the planning level. Our solutions leverage sensors such as fisheye cameras, ultrasonic sensors (USS), and radar to achieve robust and reliable results.

Your mission and day-to-day tasks

In this role, you will combine your expertise in Deep Learning, Computer Vision, and embedded systems to contribute to building AI-based perception for autonomous vehicles functions. This is achieved by designing and training neural networks on global-scale multi-sensor datasets, building scalable, efficient pipelines, delivering production-quality code for real-world applications in vehicles, and quickly analyzing and responding to deviations.

As part of an autonomous development team, youll have the freedom and responsibility to:

• Train, validate, and deploy deep learning models for perception tasks, ensuring robustness and efficiency in embedded environments.
• Design, develop, and optimize common training frameworks and data pipelines in a shared codebase.
• Develop production-level embedded software solutions for self-driving cars, with a focus on integrating DL algorithms.
• Collaborate with stakeholders to define design goals, interfaces, and requirements.
• Lead or contribute to data curation, annotation guidelines, and quality assurance for continuous improvement.
• Define key performance indicators (KPIs), build evaluation pipelines, and ensure performance metrics are met.
• Deploy and maintain algorithms in production vehicles and compute clusters.

Whats in it for you

• Work at the forefront of tech in one of Swedens biggest and most interesting, challenging and dynamic AI/ML-companies.
• Collaborate with highly skilled, innovative, creative and smart people.
• Work with people from all over the world, exploring cutting-edge computer vision research.
• Enjoy a flexible work approach and a genuinely good work/life balance.
• Truly fascinating projects, applying cutting-edge AI technologies to save lives and improve drivers contentment.

Qualifications & experience

Core Competencies:

• Deep knowledge of Deep Learning-based and classical Computer Vision, including camera sensors and models.
• Proven experience in embedded software development, with a track record of writing production-level code.
• Strong Python and C/C++ programming skills.
• Experience with DL frameworks such as TensorFlow and PyTorch.
• Understanding of data engineering, architecture, statistics, and geometry.
• Expertise in perception tasks, including sensing, sensor fusion, and tracking.
• Proven problem-solving mindset, with an understanding of the big picture and how to get there.

Desirable Experience:

• Convolutional Networks, Transformers, and Recurrent Neural Networks.
• Data curation, active learning, and auto annotation.
• MLOps, compute orchestration, and pipeline management.
• Simulation and synthetic data generation, including neural radiance fields (NeRFs).
• Experience with sensor integration and optimization in embedded systems

Ready to shape the future of autonomous driving with us? Apply today and lets innovate together!

More about Zenseact

Our software makes a difference. Using AI-based technology to create the ultimate driver support, were fighting to end car accidents and make roads safe for everyone. Every year, around 1,4 million people die in traffic while approximately 50 million people get injured. Many get disabled as a result of their injury. We can do better.

One purpose, one product. Were a software company dedicated to revolutionizing car safety. By designing the complete software stack for autonomous driving and advanced driver-assistance systems, were fighting to end car accidents and make roads safe for everyone. Zenseact was founded by Volvo Cars, and the teams are based in Gothenburg and Lund, Sweden, Munich in Germany and Shanghai, China. When we aim for zero accidents faster, we strive to speed up the transition to safe automation. This is essentially achieved by making cars updatable - like a computer or a phone. With regular software updates, a vehicle can be made safer long after its production. By accelerating improvement loops, shortening development cycles, and deploying high-capacity software quickly, we can make cars safer, and faster.

Culture with people at heart To achieve our mission of saving lives and ending traffic accidents we must go where nobody has before. It requires us to venture into the unknown, pioneering new technology and pushing the frontier of autonomous driving. While theres no denying our determination and expertise, we must stand united to succeed. By fostering a culture of support and enablement - a place of psychological safety where all of us can thrive - everything else will follow. We call this a people-at-heart culture. This culture means caring. It means the company cares about me, and we care about one another. It means sharing, so we give each other energy and have fun together. Our culture is also about belonging. Its important to feel at home and that we can be ourselves at work. Finally, a people-at-heart culture means well-being. So, we enjoy the flexibility needed to be and do our best - at work and in life.

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 continuously, so we highly recommend that you submit your application at your earliest convenience.