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Description du poste:
Want to be part of transforming road freight - for good? (COMPANY NAME) is showing the world a new way to move, based on the latest digital, electric and autonomous technologies. Through freight capacity as a service, we enable businesses around the world to accelerate towards their sustainability goals.
Founded in 2016, (COMPANY NAME) became the first company in the world to deploy a cab-less autonomous electric vehicle on a public road (Sweden, 2019). In 2022, we were the first to successfully operate such a vehicle on a US public road. Today our award-winning technology has been launched across 8 countries (and counting). Our clients are some of the world's biggest shippers, including Fortune 500 companies.
The team at (COMPANY NAME) Autonomous Technology is responsible for designing and building world class software solutions enabling all-electric, autonomous transportation, using modern software development tools and methodologies with a unique mix of development experience from Sweden's automotive and consumer software scene. We are now looking for experienced Perception Engineers to strengthen our team!
As an experienced Perception Engineer at (COMPANY NAME), you'll be joining a diverse top talent team of ambitious, creative, kind-hearted people who challenge conventional thinking, think big, and aim for zero.
What you'll do
* Cultivate a deep understanding of the technologies required to deliver on the technology roadmap for a world class perception platform for autonomous driving. This includes advanced signal processing algorithms and data fusion techniques for object detection, classification and tracking.
* Develop the company tech stack, both on a conceptual level as well as in implementing solutions. Work in close collaboration with other teams responsible for different hardware and software parts of the autonomous driving stack.
* Identify, initiate and maintain collaboration with strategic partners necessary to deliver on the technology roadmap.
* Stay always on par with the latest research and participate in conferences in the field. Supervise master and doctorate students.
* Push the envelope for quality and throughput by teaching, mentoring and supporting your colleagues.
What we're looking for
* Recent experience with developing complex functional architectures for perception software.
* A good understanding of the entire perception system, including sensor technologies.
* A pragmatic problem solver who loves to learn new skills and technologies, and you are comfortable with driving decisions on high-level architecture and strategic technology choices.
* Are driven, self-directed, committed, and want to work in a high-paced start-up environment
Bonus skills
* Experience in the automotive industry.
* Experience with GPU programming.
* Experience with machine learning for perception application.
* Experience with system requirements and verification of complex systems.
* Knowledge in (COMPANY NAME) specific Tech Stack: Linux, Go, C/C++, Python, gRPC, Matlab/Scilab, Docker.
This position is full-time and based in Stockholm. We recommend that you submit your application as soon as possible as selection and interviews are held continually.
Please note that as part of our standard recruitment process, we conduct a background control on the final candidate for this role. This may include verification of education, employment history, any relevant professional certifications or other information that may be of our interest.
At (COMPANY NAME), we are innovators, building solutions the world has never seen before - but urgently needs. That's why we take action, and it's why we are always eager to be challenged. We know that our best innovations come from having a diverse mix of people, including those of different experiences, career paths, and walks of life. By coming together and sharing our perspectives openly - by disagreeing, discussing, and committing - we deliver greater impact
Origine: | Site web de l'entreprise |
Publié: | 25 Mai 2024 |
Secteur: | Transport / Logistique |
Langues: | Anglais |
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