Computer Vision & AI Specialist

Are you ready to be part of a company thats not just talking about the future but actively shaping it Join The AES Corporation (NYSE: AES) a Fortune 500 company thats leading the charge in the global energy revolution. With operations spanning 14 countries AES is committed to shaping a future through innovation and collaboration. Our dedication to innovation has earned us recognition as one of the Top Ten Best Workplaces for Innovators by Fast Company in 2022. And with our certification as a Great Place to Work you can be confident that youre joining a company that values its people just as much as its groundbreaking ideas.

AES is proudly ranked #1 globally in renewable energy sales to corporations and with $12.7B in revenues in 2023 we have the resources and expertise to make a significant impact as we provide electricity to 25 million customers worldwide. As the world moves towards a net-zero future AES is committed to meeting the Paris Agreements goals by 2050. Our innovative solutions such as 24/7 carbon-free energy for data centers are setting the pace for rapid global decarbonization.

If youre ready to be part of a company thats not just adapting to change but driving it AES is the place for you. Were not just building a cleaner more sustainable future - were powering it. Apply now and energize your career with a true leader in the global energy transformation.

Embark on an exciting journey with AES as we pioneer the future of energy through Maximo our innovative growth venture. Maximo propelled by an AI-enabled robot is transforming the construction of solar projects by expediting their completion. As a pivotal contributor to our mission of scaling solar energy production at an unparalleled pace Maximo is leading the charge to meet the urgent global demand for net-zero emissions. Maximo team members are firm believers that accelerating decarbonization necessitates audacious actions empowering the world to fulfill future needs.

Job Description

We are seeking a highly skilled and experienced Senior Robotics Perception and AI Engineer to join our this role you will be responsible for developing optimizing and implementing cutting-edge perception and AI algorithms to enable our robots to understand and interact with the world around them. You will leverage your deep expertise in computer vision machine learning and robotics to drive innovation and solve complex challenges. Duties will include developing advanced perception algorithms for tasks such as object detection segmentation and pose estimation as well as leading the technical roadmap for the perception part aligned with our vision and Product Roadmap.

A successful candidate is strongly motivated and passionate about solving perception and AI/ML problems and pushing the boundaries of what is possible today and will be an entrepreneurial mission-driven individual responsible for actively progressing developing and executing the technical roadmap of our solar module installation robotic system. This individual will take on the responsibility of defining designing and implementing the perception software stack architecture and guide the Robotics and Hardware engineers to identify the best sensor addition this person will take the ownership of developing and maintaining machine learning pipeline deploying new models to production and monitoring their performance collaborating closely with the engineer team to ensure seamless integration of machine learning models and perception algorithm into our applications.

As a specialist in the Maximo business this position will work collaboratively across the Maximo external industry partners across the value chain and AES teams including engineering business development construction finance supply chain and strategy.

Major Responsibilities

• Develop and implement advanced high-performing perception algorithms for real-time tasks such as object detection segmentation and pose estimation based on variety of sensor data (Lidar Camera etc)
• Design train optimize deploy and maintain AI/ML models for robust and accurate perception in challenging environments.
• Enhance our machine learning pipeline and related tools to support development experimentation continuous integration continuous delivery verification/validation and monitoring of AI/ML models in the field.
• Integrate perception systems with robotic platforms to enable autonomous manipulation navigation and human-robot interaction.
• Analyze and process sensor data (e.g. camera lidar radar etc.) to extract meaningful information.
• Translate product level requirements into technical design criteria.
• Work with engineers (robotics hardware etc.) and product team to define hardware/software architecture and technical roadmap
• Collaborate with cross-functional teams including hardware engineers software engineers and control engineers to ensure seamless integration of perception systems.
• Stay up to date with the latest advancements in computer vision machine learning and robotics to drive innovation and improve product performance.
• Provide technical leadership and mentorship to junior engineers fostering a culture of innovation and continuous learning.

Requirements

• Masters or PhD in Computer Science Robotics or a related field.
• 5 years of experience in computer vision machine learning and/or robotics.
• Strong theoretical foundation in computer vision image processing and machine learning algorithms.
• Proficiency in programming languages such as Python C and ROS2.
• Experience with deep learning frameworks (e.g. TensorFlow PyTorch).
• Experience with real-time systems and embedded platforms.
• Knowledge of robotics platforms and sensor systems.

• Founders mentality: Entrepreneurial passion for getting things done and a make it happen attitude with an intellectual curiosity to seek new opportunities.
• Skill and Behavior: Capability to work dynamically and collaboratively across multiple teams in a fast-paced and technical business environment with minimal supervision. Excellent communication skills. Results-oriented can-do attitude and get things done mentality; comfortable with uncertainty and ambiguity; no compromise on attention to quality and details.
• Technology fluency: Demonstrated ability to understand solar engineering and technology concepts question assumptions and make informed product and technology decisions. Technical understanding of automation robotics computer vision machine learning and/or artificial intelligence is a plus.

Travel: 30% travel