Senior AI-Lead Engineer

Customer to us is now seeking for a Senior Lead AI Engineer to join their team to help designing, developing, and testing their next generation ultra-low latency automotive vision system. This will help save lives of vulnerable Road Users and make their roads safer.
The company’s mission is to make urban traffic safer and save lives of vulnerable Road uUers. They would like you to join their journey to fulfill this mission.
The company is developing a next-generation advanced driver assistance system (ADAS) based on scanning lasers and event cameras connected to a powerful compute unit and cutting edge AI-based object perception software.
Their unique patented invention is up to ten times faster than any other collision detection system on the market today.

They recently started the implementation of their product prototype which is planned to be road tested on vehicles during 2023.
They are located in Lund and Stuttgart (Germany).

In your role as the Lead AI Engineer you will work on some of the toughest technical challenges in the automotive and mobility domain. You will be working on the lowest level of their system where they are directly battling with the limits of physics.
You will be working on the entire spectrum of product development, starting from conceptualization, modeling, and simulation, to prototyping and laboratory testing, as well as product integration that meets automotive requirements.
Thriving in this environment requires dedication and passion for finding creative solutions to technical challenges and an aptitude for teamwork.
The company will be able to offer you career opportunities in a modern, creative, innovative workplace with challenging tasks.
They hope that you will learn as much from them as they will from you.
In your role as the Lead AI Engineer you will build-up and lead a small team of Engineers working on computer vision, object perception algorithms, and training of neural networks.

Within your background and experience you have
A PhD or Master Science in Computer Engineering, Computer Science, Mathematics, Engineering, or similar or equivalent practical experience
Extensive prior experience with 3D geometry and optimization in constrained environments
A professional experience working with visual odometry or SLAM
Ideally many years work experience in the automotive industry or tier one suppliers
Significant hands-on experience with training, analyzing and iteratively refining deep neural networks
Integrated AI-based Software Stacks in building and integrating software components, into advanced driver assistance systems
Already successfully applied AI methods for automotive or industrial applications and integrated AI-based software stacks, like building and integrating software components into advanced driver assistance systems
With you skills you have:
Excellent programming skills in Python, C/C++ and/or Java, including frameworks like Python ML frameworks (like PyTorch, TensorFlow)
Significant hands-on experience with training, analyzing and iteratively refining deep neural networks
Solid practical skills in designing, developing, integrating, and testing software component for the automotive industry
An understanding what it takes to get from an early lab prototype to an industrial-grade software component
A hands-on mentality and are action-oriented rather than process-oriented, you are practical rather than theoretical
Worked with big data computation and storage tools to create prototypes and datasets
proficiency in multiple AI tools and programming languages, as Python, Java, R, and machine learning frameworks, like Spark, TensorFlow
Profound practical skills in designing, developing, integrating, and testing software component for the automotive industr
Used repositories and collaborative project management tools, such as Jira, Gitlab, etc. as a part of your daily activities

Top Skills
An end-to-end responsibility for their automotive-grade object detection, perception and object tracking software
Propose and execute technical decisions on algorithms, Software Architectures, and tooling
Assign tasks and sprints to yourself and your machine learning team
Perform research and testing to develop machine learning algorithms and predictive models for automotive computer vision

Optimize and train neural learning models on an embedded/automotive compute platform to perform visual perception.
Design and optimize deep learning approaches in object detection, classification, segmentation, tracking, and spatio-temporal fusion.
Develop novel real-time 3D scene reconstruction techniques and work on accurate visual odometry systems.
Become a core member of the company’s Product Development Team and boost the development of their product.
Share and execute their product vision and roadmap to contribute to their success together.
Report to both Product Management or directly to the CTO.