Staff Computer Vision Engineer

Overview

• Drive innovation in computer vision for autonomous systems, focusing on real-time applications and embedded solutions.
• Collaborate with multidisciplinary teams to integrate advanced vision algorithms into hardware platforms seamlessly.
• Lead the optimization of machine learning models for embedded environments, ensuring high performance and reliability.
• Provide technical leadership and mentor engineers in computer vision and machine learning techniques.
• Define and implement testing protocols to validate system performance under diverse conditions.
• Support the transition from prototype development to production-grade systems, ensuring robust deployment strategies.
• Stay updated on emerging trends in computer vision and machine learning to maintain competitive expertise.
• Contribute to groundbreaking advancements in autonomous systems technology.

Key Responsibilities & Duties

• Develop and implement advanced computer vision algorithms optimized for real-time applications in autonomous systems.
• Collaborate with hardware engineers to integrate vision capabilities into embedded platforms effectively.
• Optimize machine learning models for embedded environments, ensuring high reliability and performance.
• Lead the design and execution of testing strategies to validate system robustness across operational conditions.
• Mentor junior team members, fostering expertise in machine learning and computer vision methodologies.
• Contribute to the development of production-grade systems, ensuring adaptability and compliance with rigorous standards.
• Collaborate with interdisciplinary teams to address complex engineering challenges and advance autonomous technologies.
• Stay updated on emerging trends in computer vision and machine learning to drive innovation.

Job Requirements

• 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 developing machine-learning-based computer vision systems, preferably for autonomous platforms.
• Proficiency in programming languages such as Python and C++, with experience in ML frameworks like PyTorch or TensorFlow.
• Extensive experience with embedded systems and integration of vision algorithms into hardware environments.
• Familiarity with multi-sensor systems, including cameras, LiDAR, and radar technologies.
• Proven ability to deploy real-time and safety-critical computer vision solutions in production settings.
• Strong collaborative skills and a passion for mentoring and interdisciplinary problem-solving.
• Commitment to driving innovation and advancing autonomous system capabilities.