Senior Software Engineer

Key Responsibilities

• Design, configuration, and application of dSPACE HIL simulators for ADAS System
• Development of test automation projects
• Modeling of physical systems for HIL simulation
• Expertise in Test Design, techniques, Test strategies, Plan and methods.
• Expertise in multiple domain technologies such as ADAS
• Establish standards for test automation, CI/CD integration, and vehicle/HIL /virtual testing.
• Specialized support of HIL systems and models, including at customer locations
• Qualifications:
• Bachelor´s or master's degree in Electrical, Mechanical, Computer Science/Software Engineering, or related experience
• Experience in one or more of the following areas is desired:
• Development, testing, or familiarity of embedded control systems (mechatronics, automotive control systems)
• HIL simulation systems
• In-vehicle communication networks such as CAN, LIN, FlexRay, DOIP
• Model-based development with MATLAB® and Simulink®
• Programming in C, C++, Python, or other comparable languages
• Perform hands-on testing when necessary, setting an example for the team.
• Implement and maintain quality assurance processes.
• Identify areas for improvement in testing processes and methodologies.
• Stay current with emerging trends and technologies in ADAS testing
• Propose and implement innovative testing solutions
• Will be responsible as a Right Side of the V Model, Expanding ADAS practice by building Assets, Accelerators, PoCs, etc.

Skills

• Bachelor's degree in computer science, Engineering, or related field
• 3+ years of experience in dSPACE and test framework development in Python, preferably in automotive or ADAS systems
• Experience in Programming Language such as C++, C
• Expertise in ADAS System, test automation and verification techniques
• Strong knowledge of Functional Safety standards (e.g., ISO 26262)
• Familiarity with automotive standards and regulations
• Excellent organizational and administrative skills
• Strong leadership and team management abilities
• Proficiency in test management tools and software
• Experience in working with CAN, Ethernet and SOME/IP protocols.
• Experience with sensor technologies (e.g., radar, lidar, cameras) used in ADAS.
• Good working knowledge of C language, CAPL scripting & Python Scripting, Test Management Tools.
• Experience with CI/CD(e.g.,Github Actions/Docker/Jenkins).
• Experience with Vector Tools(e.g.,CANoe, CANanalyser), dSPACE , HIL