What To Expect
Are you passionate about revolutionizing energy systems? Join the Autobidder Operations team as a Trading Engineer and play a key role in advancing automated trading and asset optimization in the electricity markets. Autobidder manages the world’s largest fleet of battery storage assets, from utility-scale batteries to virtual power plants, driving innovation in renewable energy.
As a Trading Engineer, you’ll leverage your experience in software engineering or data engineering to enhance reporting, performance attribution and operational monitoring. Your solutions will enable proactive management of trading strategies and asset performance, directly influencing the success of energy assets and accelerating the transition to sustainable energy systems.
You’ll contribute to Tesla’s mission by optimizing battery revenues and advancing renewable power integration. With a passion for building and automating tools that deliver tangible results, a bias for action, and a collaborative mindset, you’ll thrive in our fast-paced team environment.
What You'll Do
Support the development of Python-based analytical, reporting and monitoring tools, involving (but not limited to) building and maintaining scalable data pipelines, addressing data quality challenges and guaranteeing high data availability for analytical purposes. Collaborate with machine learning, optimization, and software teams to help deliver fundamental analysis and expertise that enhance our competitive edge in algorithmic electricity market trading. Participate in on-call rotations to support Autobidder market operations. As part of the rotation, take ownership of the fleet performance and conduct analysis to identify opportunities for algorithmic developments. Drive long-term initiatives to improve the overall tech stack, with a focus on scalability, efficiency, and performance. Lead discussions with internal teams, customers, and external organizations to communicate fleet performance and operational insights.
What You'll Bring
Bachelor’s or Master's degree in Science, Engineering, Math or related field (or equivalent experience) 5+ years' work experience in the field of data engineering/software engineering, partnering with analysts and/or data scientists to drive decision-making and deliver actionable insights Proven experience mentoring, coaching, or leading team members.Proficiency in Python and SQL with practical experience in production environments. Analytical skills for extracting insights, making decisions in uncertain scenarios, and communicating technical results to diverse audiences. Collaborative mindset with a creative approach to problem-solving and a drive for team success
Preferred Experience:
Understanding of European electricity markets (e.g., UK, France), including market design, trading strategies, and product structures Experience in the stationary storage industry, or prior modeling of stationary storage energy market applications.Familiarity with linear optimization or time-series forecasting methods.
, Tesla
