Responsibilities
- As a software engineer, you’ll develop and conceptualize highly innovative software solutions using the C/C++ programming languages for autonomous driving and connected services
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Real-time and hardware-related programming would be your focus
- You’ll work in an agile and well-distributed team and would be involved in the whole process of system and software development
- Which means you’ll contribute to the software development process starting from design till implementation and test
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Constant exposure to the latest technologies and methods of software development are guaranteed and you’ll be the professional contact person for your colleagues and our customers
Benefits
- FLEXIBLE SCHEDULE
- HYBRID WORK
- MEAL TICKET
- LANGUAGE COURSE
- We offer you an attractive salary and a competitive overall package
- Regular and systematic (external and internal) further training opportunities
- Modern style of working in an innovative and international team
Qualifications
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University degree in computer science, electrical engineering or a comparable field
- Experience in low-level programming of ECUs with C/C++ and MQTT or IoT services from AWS or Microsoft is desirable
- You have expertise in AUTOSAR or RTOS and are familiar with CAN, LIN or Ethernet on ECU level
- You have the passion to gain first experiences with development tools such as Jira, DOORS codeBeamer or Enterprise Architect
- Experience in software development processes such as SCRUM or V Model and ASPICE.
- Very good verbal and written communication skills in English as well as the ability to work in a team
Shaping the next Level of Autonomous Things
AUTONOMOUS REPLY is a company within the Reply Group specializing in software and system integration of autonomous things. Our experts advise companies in the industrial, automotive and new mobility sectors on everything - from sensor to infrastructure. Our portfolio includes holistic solutions covering the entire value chain - from strategy definition and consultancy on possible applications up to design and implementation. Our solutions include edge computing, embedded software, cloud services and integration into various eco systems, utilizing state-of-the-art technologies and methods from the fields of deep learning, machine learning and computer vision.