The AES Corporation

Software Engineer, Maximo

Software Engineer, Maximo
Notice info
LocationArlington, VA
Job Typefull time
On-site
Utilities

About This Job

We are seeking a highly skilled and experienced Software Engineer

to join our team. In this role, you will be responsible for system architecture, ensuring seamless communication between all robotics services and cloud systems. You will leverage your deep expertise in software and system architecture to drive innovation and solve complex challenges. Duties will include developing user interfaces, databases, ROS services, communication with edge-devices and cloud services, as well as leading the technical roadmap for the system architecture aligned with our vision and Product Roadmap.

A successful candidate is strongly motivated and passionate about solving software and system architecture 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 software architecture and guide the Robotics, Vision and Hardware engineers to identify the best way to make all the system communicate with Maximo eco-system. In addition, this person will take the ownership of developing and maintaining Maximo computers, network and cloud connectivity, deploying changes, and monitoring their performance collaborating closely with the engineer team to ensure seamless integration of any improvements 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

- Design and implement system architecture to ensure seamless communication between various components, including robotics, vision systems, databases, GUI, battery management, and cloud services.

- Propose and implement the best deployment strategies for our software, evaluating options such as Docker, C++, and Python.

- Propose and implement the best solution for remote support for Maximo team.

- Ensure all code repositories have proper validation and testing in place.

- Collaborate with cross-functional teams, including hardware engineers, software engineers, and control engineers, to ensure seamless integration of all systems.

- Stay up to date with the latest advancements in software engineering, system architecture, and deployment strategies to drive innovation and improve product performance.

- Design, implement and maintain cloud services and connectivity.

- Propose and implement a cloud system to log all data and information from Maximo system.

- Provide technical leadership and mentorship to junior engineers, fostering a culture of innovation and continuous learning.


Requirements

- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

- 5+ years of experience

in software engineering, system architecture, deployment strategies, and robotics system.

- Strong theoretical foundation in software engineering principles and system architecture.

- Proficiency in programming languages such as

Python, C++, ROS2, SQL and non-SQL database

.

- Experience with

containerization and deployment

tools such as

Docker

.

- Experience with

real-time systems and embedded platforms

.

- Knowledge of

robotics platforms and sensor systems

.

- Founder’s 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.

Be a part of the change and join Maximo at AES!


Travel:

20% travel


Languages:

English required

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