Robotics Engineer
Location: US, Arlington, VA
Remote Type: On Site
Time Type: Full time
Job Description
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 (NYSE: AES), a Fortune 500 company that's 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 you're 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 Agreement's 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 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 cleaner, more sustainable future - we're powering it. Apply now and energize your career with a true leader in the global energy transformation.
Major Responsibilities
Take on leadership role, deliver and execute Maximo business plan and product roadmap, while fostering strategic partnerships for business operations.
Validate commercial deployment of Maximo business model and system on utility-scale solar projects.
Develop and continuously update the landscape of technologies, trends, stakeholders, and customer needs.
Drive product improvements and development of requirements for the robotic system to enable delivery of near-term and future commitments.
Identify and track key solar PV modules installation metrics for tier 1 solar tracker vendors.
Support on the development of Maximo operations plan based on project requirements within the established schedule.
Manage project teams, partners and third-party companies across project development, engineering, and construction.
Work across Maximo and AES leadership teams to build excitement and confidence around Maximo vision and objectives, and secure direct and indirect resources.
Prepare business to meet the necessary milestones to embark on larger scale deployments.
Foster relationships and work collaboratively with AES businesses and platform units in the US, Americas and Eurasia related to the use of this technology in their region.
Support periodic project updates and reporting to senior managers through preparation of project status and budget reports.
Qualifications
Founder’s mentality: Entrepreneurial passion for getting things done and a “make it happen” attitude with an intellectual curiosity to seek new opportunities.
Customer empathy: Strong capability to ideate new solutions and understand customer needs, while driving new products and solutions to market.
Experience: Bachelor of Science in engineering or science with a minimum of 3-5 years of work experience, MBA or similar continuing education preferred.
Expertise: Deep familiarity with utility scale solar field construction and solar project development. Proven experience in project development and management.
Skill and Behavior: Capability to work dynamically and collaboratively across multiple teams in a 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.
Demonstrated proficiency in C++, Python, and ROS 2.
Strong understanding of robotics fundamentals and software architecture.
Solid working knowledge of Linux environments.
Familiarity with PLCs and KUKA robotic systems is considered a strong plus.
Travel: Willingness and ability to travel frequently.
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