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Computer Vision & AI Specialist

AES Corporation

US, Arlington, VAMid
Sign in to applyVerified
Location
US, Arlington, VA
Work model
On-Site
Level
Mid
Posted

Skills

Computer VisionMachine Learning

About this role

Are you ready to be part of a company that's not just talking about the future, but actively shaping it? Join The AES Corporation, the largest US-based global power company with a team of 8,300 employees across 12 countries.     AES has been  ranked #1 by BloombergNEF  in renewable energy sales to corporations in the US and Americas for five consecutive years, providing electricity for  millions of people worldwide.      We are proud to foster a strong workplace culture, earning prominent positions in Great Place to Work™ rankings across the markets where we operate. AES was also named one of the World’s Most Ethical Companies for the 13th consecutive year in 2026, highlighting our dedication to integrity, transparency, and responsible business practices.   Our spirit of innovation continues to earn industry recognition. AES is the only seven-time winner of the Edison Electric Institute’s Edison Awards in the twenty-first century, a distinction honoring global leadership in advancing the electric power industry.    If you're ready to be part of a company that's not just adapting to change, but driving it, AES is the place for you. We're not just building a more sustainable future ,  we're powering it. Apply now and energize your career with a true leader in global energy.  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 team. In 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 suite. In 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,

Listing verified . Applications go through the company's official careers site.

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