A

AES

Global electricity generation, distribution, and storage.

Computer Vision & AI Specialist

Computer VisionConfirmed live in the last 24 hours
Full-timeArlington County, Arlington, VA, USA

About the Job

Requirements

  • A Master's or PhD in Computer Science, Robotics, or a related field is required.
  • At least 5 years of experience in computer vision, machine learning, and/or robotics is required.
  • A strong theoretical foundation in computer vision, image processing, and machine learning algorithms is required.
  • Proficiency in Python, C++, and ROS2 is required.
  • Experience with deep learning frameworks such as TensorFlow or PyTorch is required.
  • Experience with real-time systems and embedded platforms is required.
  • Knowledge of robotics platforms and sensor systems is required.
  • The candidate should have entrepreneurial passion, initiative, and intellectual curiosity to identify and pursue opportunities.
  • The candidate must be able to collaborate across teams in a fast-paced technical environment with minimal supervision.
  • The candidate must be comfortable with uncertainty and ambiguity and maintain attention to quality and detail.
  • The candidate should understand solar engineering and technology concepts and be able to question assumptions and make informed product and technology decisions.

Responsibilities

  • Develop and implement high-performing perception algorithms for real-time object detection, segmentation, and pose estimation using sensor data such as lidar and cameras.
  • Design, train, optimize, deploy, and maintain AI and machine learning models for robust perception in challenging environments.
  • Enhance the machine learning pipeline and related tools to support development, experimentation, continuous integration, continuous delivery, verification, validation, and field monitoring of AI and machine learning models.
  • Integrate perception systems with robotic platforms to enable autonomous manipulation, navigation, and human-robot interaction.
  • Analyze and process camera, lidar, radar, and other sensor data to extract meaningful information.
  • Translate product-level requirements into technical design criteria.
  • Work with robotics, hardware, and product teams to define hardware and software architecture and the technical roadmap.
  • Collaborate with hardware, software, and control engineers to integrate perception systems.
  • Keep current with advances in computer vision, machine learning, and robotics and apply them to improve product performance.
  • Provide technical leadership and mentorship to junior engineers.
  • Define, design, and implement the perception software stack architecture and guide robotics and hardware engineers in identifying an appropriate sensor suite.
  • Own development and maintenance of the machine learning pipeline, deploy new models to production, and monitor their performance in collaboration with engineering teams.
  • Work across Maximo, external industry partners, and AES teams including engineering, business development, construction, finance, supply chain, and strategy.

Desired Qualifications

  • Technical understanding of automation, robotics, computer vision, machine learning, and/or artificial intelligence is a plus.

About the Company

AES

Global electricity generation, distribution, and storage.

AES is a global power company that generates and distributes electricity through four regional business units: US and Utilities, South America, MCAC, and Eurasia. It operates a mix of thermal, renewable, and energy‑storage plants and sells electricity to homes, businesses, and institutions, using long‑term contracts as well as market-based sales. The company distinguishes itself with a broad geographic footprint and a diverse asset mix, combining utility services with generation and competing in various electricity markets. Its goal is to reach net-zero carbon emissions from its electricity generation by 2040, backed by investments in renewable energy, storage, and efficiency improvements.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Arlington County, VA
Founded
1981

Recently Posted Jobs

Explore more opportunities at AES

See more jobs