Embedded CV Architect

We are seeking an experienced Architect to lead embedded software development and the design of advanced computer vision algorithms for Automated Driving Assistance Systems (ADAS) on state-of-the-art multi-core automotive SoCs. This role involves architecting high-performance, real-time systems that enable next-generation autonomous and safety-critical vehicle features.

1. System Architecture & Design

• Define and design scalable software architectures for embedded ADAS platforms.
• Lead end-to-end system design for real-time computer vision pipelines on multi-core automotive SoCs.
• Ensure high performance, reliability, and compliance with automotive safety standards (e.g., ISO 26262).
• Drive architectural decisions for optimal hardware-software co-design.

2. Computer Vision Algorithm Development

• Contribute to the design, development, and optimization of advanced computer vision algorithms, including:
• Pedestrian detection
• Lane detection
• Object detection and classification
• Park slot detection
• Structure from Motion (SfM) for environment mapping
• Optimize algorithms for real-time execution under embedded constraints (latency, memory, power).

3. Embedded Systems & Optimization

• Lead adaptation and optimization of algorithms for multi-core and heterogeneous computing environments (CPU, GPU, DSP, NPU).
• Ensure efficient utilization of hardware accelerators and parallel processing frameworks.
• Perform performance tuning, profiling, and debugging of embedded applications.

4. ADAS Feature Enablement

• Architect and enable critical autonomous driving features such as:
• Real-time pedestrian detection for collision avoidance
• Dynamic environment mapping using Structure from Motion
• Automated parking systems with seamless execution
• Contribute to core logic of autonomous driving systems and perception stacks.

5. Technical Leadership

• Review and guide algorithm design, implementation, and integration.
• Mentor engineering teams and drive best practices in software architecture and development.
• Collaborate with cross-functional teams including hardware, AI/ML, and system engineering.

6. Quality & Compliance

• Ensure adherence to automotive standards and development processes.
• Support validation, verification, and testing of ADAS features.
• Participate in code reviews, design reviews, and system audits.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Electronics, Electrical Engineering, or related field.
• 8+ years of experience in embedded systems and software architecture.
• Strong expertise in computer vision and image processing algorithms.
• Proficiency in C/C++ and embedded software development.
• Experience with multi-core processors and real-time operating systems (RTOS).

Preferred Skills

• Experience with ADAS or autonomous driving systems.
• Knowledge of AI/ML frameworks for perception systems.
• Familiarity with automotive SoCs (e.g., NVIDIA, Qualcomm, Renesas, TI).
• Experience with OpenCV or similar vision libraries.
• Understanding of parallel computing frameworks (CUDA, OpenCL).
• Exposure to automotive safety standards (ISO 26262, ASPICE).

Key Competencies

• Strong architectural thinking and problem-solving skills
• Ability to work in safety-critical, real-time environments
• Leadership and mentoring capabilities
• Excellent communication and cross-functional collaboration