As a successful candidate, you will be joining a world-class Autonomous Driving/ADAS team, where the ability to thrive under minimal guidance and deliver results in a fast-paced, dynamic environment is essential. We are seeking an experienced ADAS Feature Integration Engineer who not only excels in technical expertise but also demonstrates the capability to adapt quickly to evolving challenges. In this role, you'll be expected to make decisions independently, employ innovative problem-solving techniques, and respond promptly to shifting priorities and demands.

Our ideal candidate should possess strong technical expertise in one or more areas of ADAS systems, a deep knowledge of state machine design, implementation, testing and debugging, and strong capability to analyze and decompose complex system requirements. Your contributions will have a significant and direct impact on the successful delivery of cutting-edge products to our customers.

Role Responsibilities:

· Requirements Analysis and Decomposition:

Analyze and decompose system-level requirements into clear and actionable tasks for software implementation. Collaborate with system engineers to ensure alignment of ADAS feature requirements and soundness of the system design.

· Software Design and Architecture:

Design robust and scalable ADAS software architectures for high level feature integration that meet functional, safety, and performance requirements.

· State Machine Implementation:

Design and implement state machine models for various ADAS features, including active safety, driving, and parking functions. Ensure seamless integration across the ADAS software stack by establishing correct state transition logic. Perform software unit testing , SIL/HIL testing and vehicle testing to validate the implementation.

· Collaboration and Cross-functional Engagement:

Work closely with cross-functional teams, including system and validation engineers, to ensure seamless integration of ADAS features into the overall vehicle system. Provide technical expertise and support to ensure successful feature delivery.

· Continuous Improvement and Optimization:

Identify opportunities for improvement in feature development processes and continuously optimize workflows to improve efficiency.

· Documentation and Reporting:

Maintain clear and comprehensive documentation for software design, software requirements, unit test cases and results. Ensure proper traceability from requirements to implementation.

Required Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field with equivalent expertise.

8+ years of related work experience in software integration.

Proven experience in completing the full production cycle of ADAS/AD features, including requirement analysis, software design, implementation, unit testing, ADAS (or other systems) feature tuning, SIL/HIL testing, and vehicle deployment.

Excellent modeling skills in (Matlab/Simulink or similar) and programming languages such as C/C++.

Strong knowledge of autonomous systems (ADAS/AD and/or Robotics) with expertise in one or more domains of behavior planning, motion planning and control.

Experience with functional safety standards (e.g., ISO 26262) and AUTOSAR, including both basic software and application-level implementation for safety-critical features.

Exceptional communication skills, with the ability to quickly adapt to changing environments and demonstrate innovative problem-solving abilities.

Preferred Qualifications:

6 years and a Master’s degree; or a PhD with 3 years experience

Hands-on experience in software integration with embedded platforms, including Nvidia Xavier/Orin and Aurix, along with expertise in debugging, fault handling, and diagnostics across various processing boards. Familiarity in working with CI/CD pipelines to streamline development and testing processes.

Experience with communication protocols such as CAN, Ethernet, and ECU network communication tools (e.g., Vector CANape, CANoe). Familiarity with middleware solutions like Data Distribution Services (DDS), including understanding its role in enabling real-time, scalable data exchange in distributed systems.

Experience with ADAS/AD system design and validation, both in a simulation environment and real-time in vehicle.