Zero-emission solutions for cities. Human-centred, intelligent design - to revitalise public transportation.
At Arrival, our team is creating best-in-class electric vehicles using a radical new method of design and production. We work with some of the world's leading businesses and governments to achieve our goal of redefining mobility and transport ecosystems, transforming how people and goods travel and enhancing urban environments for all communities.
Innovation, rapid development and testing help us to push the boundaries. Our New Method takes our portfolio of patented technologies created in-house, and combines it with assembly in Arrival Microfactories. It’s a groundbreaking approach, leading to products with maximum functionality, peak efficiency, and an elevated experience – at a much more competitive price than other electric vehicles, and even fossil fuel vehicles.
At Arrival, our team is creating best-in-class electric vehicles using a radical new method of design and production. We work with some of the world's leading businesses and governments to achieve our goal of redefining mobility and transport ecosystems, transforming how people and goods travel and enhancing urban environments for all communities.
Innovation, rapid development and testing help us to push the boundaries. Our New Method takes our portfolio of patented technologies created in-house, and combines it with assembly in Arrival Microfactories. It’s a groundbreaking approach, leading to products with maximum functionality, peak efficiency, and an elevated experience – at a much more competitive price than other electric vehicles, and even fossil fuel vehicles.
The Unified Computing Platform team is looking for an experienced QA Engineer.
The project is interesting because of the development is carried out for a platform that is completely designed inside ARRIVAL and has a unique set of chips and accelerators. The distribution of data processing flows between various subsystems and the organization of their synchronous interaction in real time is a complex engineering task that should involve truly experienced specialists.
At Arrival we want all of our employees to feel comfortable bringing their passion, creativity and individuality to work. We value all cultures, backgrounds and experiences, as we truly believe that diversity drives innovation. Join our mission to bring better, more sustainable transportation to communities around the world.
Responsibilities
Computer vision and machine learning algorithms testingData processing pipelines testingParticipate in the development of functional testing methodsAnalyze system requirements and documentation.Develop automated test casesAnalyze test resultsMaintain and increase automated test coverage.Expertise
Knowledge of Python or knowledge of another programming language and willingness to master PythonTest automation experienceExperience in developing custom test tools (test frameworks, utilities, emulators)Regression testing experienceExperience in localizing defects in complex systemsExperience working with networksBasic knowledge of electronicsEnglish at Intermediate level and above.Nice to have
Knowledge of C/C++Experience with Linux containersExperience in testing computer vision and machine learning algorithmsExperience in software testing for Embedded LinuxExperience in testing safety-critical systemsKnowledge of machine learning, computer visionFamiliarity with electronics / circuitry.