Tesla

Makes electric cars, robotaxis and grid batteries

Trading Engineer - Autobidder, Energy

Quantitative Trading / Algorithm DevelopmentConfirmed live in the last 24 hours

Full-timeNo salary listed

About the Job

Requirements

Bachelor's or Master's degree in Economics, Finance, or Engineering.
At least 3 years of physical or financial trading experience in Australian electricity markets.
Proficiency in SQL, Python, and Jupyter Notebooks for data analysis.
Strong verbal and written communication skills and a collaborative approach.
A data-driven mindset with informed opinions on Autobidder's development and performance.
Ability to work autonomously while influencing others.

Responsibilities

Participate in on-call rotations to manage 24/7 battery energy storage system trading in the Australian Energy Market Operator market in Autobidder, including exchange-traded and over-the-counter products.
Lead high-impact analytical projects that guide trading strategy, algorithm development, and market expansion, from scoping through insight delivery.
Shape approaches to complex analytical problems, including market mechanism modelling, simulations, and back-testing frameworks.
Collaborate with optimization and software teams to co-design reusable tools and analytical workflows for algorithmic electricity market trading.
Develop and document trading processes to improve team and asset performance.
Lead discussions with internal teams, customers, and external organizations to share fleet performance insights and operational updates.
Conduct batch experiments using proprietary simulation tools and perform forensic analysis of outcomes to identify opportunities for algorithmic enhancements.
Enhance Python-based analytical tools to evaluate battery fleet performance and generate insights that guide future trading decisions.
Analyze evolving market design and policy changes in key regions to assess their impact on storage monetization, engaging relevant stakeholders to shape strategic decisions.
Translate commercial questions and market signals into structured hypotheses and evidence-based insights.

Desired Qualifications

Fluent Python skills to develop analytical tools and dashboards.

Category	Energy - Solar & Storage
Location	Melbourne, VIC
Requisition ID	286270
Type	Full-time

Job Description

As part of the Autobidder team, you will manage trading performance for the world’s largest fleet of battery storage projects. You will drive continuous improvements in Tesla’s in-house automated trading platform, Autobidder, optimizing battery revenues and supporting the transition to sustainable energy. You will generate actionable insights, communicate complex topics clearly, and engage with stakeholders. Collaborating with engineers, you will refine trading strategies, support decision-making, and monitor Autobidder’s real-time performance to balance risk and returns. 50% of your time will be dedicated to a trading shift, overseeing Autobidder’s trading strategies in the market. The remaining  50% of your time will be dedicated to developing analyses and market insights. This role requires analytical problem-solving, a proactive mindset, and the ability to thrive in fast-paced, collaborative environments. This position is open to applicants based in both Melbourne & Sydney.

Job Responsibilities

Participate in on-call rotations to manage 24/7 BESS trading in the AEMO market in Autobidder, including exchange-traded and OTC products.
Lead high-impact analytical projects that guide trading strategy, algorithm development, and market expansion — from scoping to insight delivery.
Shape how we approach complex analytical problems, such as market mechanism modelling, simulations, and back testing frameworks.
Collaborate with optimization and software teams to co-design reusable tools and analytical workflows that sharpen our competitive edge in algorithmic electricity market trading.
Develop and document trading processes to improve team and asset performance.
Lead discussions with internal teams, customers, and external organizations to share fleet performance insights and operational updates.
Conduct batch experiments using proprietary simulation tools, performing detailed forensic analysis of outcomes to pinpoint opportunities for algorithmic enhancements.
Enhance our existing Python-based analytical tools to thoroughly evaluate the battery fleet’s performance, generating actionable insights that guide future trading decisions.
Analyse evolving market design and policy changes in key regions to assess their impact on storage monetization, engaging with relevant stakeholders to shape strategic decisions.
Translate commercial questions and market signals into structured hypotheses and evidence-based insights.

Job Requirements

Bachelor’s or Master’s degree in Economics, Finance, or Engineering.
3+ years of physical or financial trading experience in Australian electricity markets.
Proficient in SQL, Python, and Jupyter Notebooks for data analysis. Preference for those with fluent Python skills to develop analytical tools and dashboards.
Strong verbal and written communication skills with a collaborative approach.
Data-driven mindset with informed opinions on Autobidder’s development and performance.
Highly self-motivated and able to work autonomously while influencing others.

About the Company

Tesla

Makes electric cars, robotaxis and grid batteries

Tesla makes electric cars and batteries that store power for homes and utilities, and it develops self-driving software and humanoid robots. In 2023, its Model Y became the first electric vehicle to rank as the world's best-selling car. Buyers order the Model 3 sedan, Model Y SUV, or Cybertruck pickup directly from Tesla instead of through dealers, and they charge on its Supercharger fast-charging network. It also sells Megapack and Powerwall batteries, runs a robotaxi service, and charges drivers a monthly fee for self-driving software that still needs their supervision. Tesla was founded in 2003, with Elon Musk as its lead early investor and a recognized co-founder, and it is based in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 2003

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