Staff Computer Vision Engineer

Experteer Overview In this role you will drive innovation in computer vision for autonomous systems and embedded platforms. You’ll collaborate with multidisciplinary teams to integrate advanced vision algorithms into hardware, optimize real-time ML models, and mentor engineers. You’ll help transition prototypes to production-grade systems while staying ahead of trends in vision and ML. This position offers the chance to shape cutting-edge autonomous technologies within a collaborative, innovation-driven culture. Compensation / Benefits * Develop and implement advanced computer vision algorithms for autonomous systems and embedded environments * Collaborate with hardware engineers to integrate vision capabilities into embedded platforms * Optimize ML models for embedded environments with high reliability and performance * Design and execute testing strategies to validate robustness across conditions * Mentor junior team members in machine learning and computer vision * Contribute to production-grade system development ensuring adaptability and standards compliance * Collaborate with interdisciplinary teams to tackle complex engineering challenges in autonomy * Stay updated on trends in CV and ML to drive innovation Tasks * Master’s degree or higher in Computer Science, Electrical Engineering, or related field with specialization in computer vision and machine learning * Minimum of 9 years of experience in ML-based CV systems for autonomous platforms * Proficiency in Python and C++, with ML frameworks like PyTorch or TensorFlow * Extensive experience with embedded systems and integration of vision algorithms into hardware * Familiarity with multi-sensor systems (cameras, LiDAR, radar) * Proven ability to deploy real-time and safety-critical CV solutions in production * Strong collaborative skills and mentoring passion * Commitment to driving innovation in autonomous system capabilities Key requirements *

Experteer Overview In this role you will drive innovation in computer vision for autonomous systems and embedded platforms. You’ll collaborate with multidisciplinary teams to integrate advanced vision algorithms into hardware, optimize real-time ML models, and mentor engineers. You’ll help transition prototypes to production-grade systems while staying ahead of trends in vision and ML. This position offers the chance to shape cutting-edge autonomous technologies within a collaborative, innovation-driven culture. Compensation / Benefits * Develop and implement advanced computer vision algorithms for autonomous systems and embedded environments * Collaborate with hardware engineers to integrate vision capabilities into embedded platforms * Optimize ML models for embedded environments with high reliability and performance * Design and execute testing strategies to validate robustness across conditions * Mentor junior team members in machine learning and computer vision * Contribute to a aaaaaaaaaaaaab_ system development ensuring adaptability and standards compliance * Collaborate with interdisciplinary teams to tackle complex engineering challenges in autonomy * Stay updated on trends in CV and ML to drive innovation Tasks * Master’s degree or higher in Computer Science, Electrical Engineering, or related field with specialization in computer vision and machine learning * Minimum of 9 years of experience in ML-based CV systems for autonomous platforms * Proficiency in Python and C++, with ML frameworks like PyTorch or TensorFlow * Extensive experience with embedded systems and integration of vision algorithms into hardware * Familiarity with multi-sensor systems (cameras, LiDAR, radar) * Proven ability to deploy real-time and safety-critical CV solutions in production * Strong collaborative skills and mentoring passion * Commitment to driving innovation in autonomous system capabilities Key requirements *