Staff Computer Vision Engineer

Overview

• Lead the development of advanced computer vision solutions for autonomous systems, focusing on real-time applications and innovative technologies.
• Collaborate with multidisciplinary teams to integrate vision algorithms into hardware platforms, ensuring seamless functionality and reliability.
• Design and optimize machine learning models tailored for embedded environments, prioritizing performance and accuracy.
• Contribute to the creation of military-grade systems, addressing unique challenges and ensuring adaptability across diverse conditions.
• Provide technical leadership, mentoring junior engineers in computer vision and machine learning techniques.
• Define and implement testing protocols to validate system performance under various operational scenarios.
• Support the transition from prototype development to production-grade systems, ensuring robust deployment strategies.
• Drive innovation in autonomous systems technology, contributing to groundbreaking advancements in the field.

Key Responsibilities & Duties

• Develop and implement 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.