Expert Algorithm Engineer, Vehicle Control (ID: 22062)

Overview

We are seeking intelligent and innovative employees. If you are interested in working for a dynamic company with flat hierarchy, we look forward to receiving your application.

Responsibilities

• Design, develop, and deploy software solutions for the company's Advanced Driver Assistance Systems (ADAS) with a primary focus on vehicle control algorithms for low-speed and high-speed maneuvers, including auto-parking applications
• Develop and implement precise vehicle control algorithms that ensure optimal performance, safety, and comfort during dynamic driving scenarios
• Apply advanced knowledge of vehicle dynamics to refine and optimize control strategies for various driving conditions, including urban environments, highways, and complex parking situations
• Translate automotive industry requirements and customer needs into robust and practical vehicle control solutions
• Work closely with the behavior and motion planning teams to ensure seamless integration of control algorithms into the broader ADAS architecture
• Follow agile development methodologies and the V-Model for developing and testing vehicle control modules
• Collaborate with cross-functional teams, including hardware engineers, software developers, and system integrators, to ensure comprehensive system validation and performance
• Provide technical leadership, mentoring, and guidance to junior engineers, promoting a collaborative and innovative team culture

Qualifications

• Master’s degree in Mechanical Engineering, Electrical Engineering, Computer Science, Robotics, or a related field; a Ph.D. is preferred
• 7 to 10 years of proven experience in the automotive industry, with a focus on vehicle control systems, ADAS, or autonomous driving technologies
• Strong expertise in vehicle dynamics and control systems, particularly in low-speed maneuvering and high-speed stability
• Proficient in the development of control algorithms using C, C++, Python, and MATLAB
• Experience in delivering complex control software from design to implementation, testing, and validation on automotive-grade hardware
• Familiarity with auto-parking systems and the development of precise, reliable vehicle control algorithms for such applications
• Experience with agile development methodologies and the V-Model, with a focus on automotive software development
• Excellent problem-solving skills, attention to detail, and a strong commitment to quality; strong leadership skills with the ability to mentor and guide junior engineers
• Understanding of AUTOSAR and AUTOSAR Adaptive
• Familiarity with Automotive SPICE (ASPICE) standards and their application in control systems development

What you can expect

• Experience in exciting and international projects
• Continuous salary development
• On-the-job training and language courses
• Appreciation, motivation and commitment

Nothing provides more motivation than success. Da Vinci Engineering is highly committed to ensuring the own employees' success. Become a part of us!