Battery Simulation Software Developer

Aurora Energy Research Limited; Oxford; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading energy research firm in Oxford seeks a Battery Simulation Software Developer to enhance the Chronos modelling software. The role requires expertise in Python, knowledge of energy trading, and the ability to innovatively collaborate with teams. Candidates should have 3+ years of software development experience and a strong interest in the energy sector. The position offers a hybrid working model and attractive benefits.

Benefits

Private Medical Insurance

Dental Insurance

Parental Support

Salary-Exchange Pension

Employee Assistance Programme (EAP)

Local Oxford Discounts

Cycle-to-work Scheme

Flu Jabs

Qualifications

• 3+ years of experience in software development.
• Professional experience in a commercial, team-based software environment.
• Experience leading others in technical work.

Responsibilities

• Design, implement, and maintain Python modules in the modelling codebase.
• Translate modelling methods into production-quality code.
• Champion automated testing and TDD.

Skills

Knowledge of power and energy trading methodologies

Familiarity with mathematical optimisation methods

Strong software engineering fundamentals

Professional Python experience (3+ years)

Comfortable collaborating with Modelling, Research, and Product teams

Education

Degree in Mathematics

Degree in Physics

Degree in Engineering

Degree in Computer Science

Job description

Battery Simulation Software Developer

Department: Modelling

Employment Type: Permanent - Full Time

Location: Oxford, UK

Description

Chronos is Aurora's battery dispatch model. Written predominantly in Python, it uses optimisation techniques combined with heuristic trading policies to fundamentally model the trading decisions and physical dispatch of battery energy storage systems (BESS) across wholesale, ancillary, balancing, and real-time markets over investment time horizons (up to 2060). Used for valuing BESS assets globally -- as well as co-located sites with BESS and renewables -- Chronos's modular architecture is critical to Aurora's ability to accurately reflect the market rules and requirements of many different jurisdictions in a single configurable software ecosystem.

We’re looking for a Lead Model Developer to help us build and maintain the Python codebase behind Aurora’s Chronos modelling software product. You’ll work in a collaborative engineering environment, owning feature development and improving code quality, maintainability, and developer experience in the model stack used across our business. You will collaborate with your colleagues in the Modelling team to define practical methodologies, with your focus being on turning these approaches into robust, well‑tested, scalable software.

You’ll thrive here if you enjoy writing clean, maintainable Python, shaping libraries and packages other teams rely on, and raising engineering standards (TDD, CI/CD, reviews, readability) across a large, shared codebase.

The position suits an individual with 3+ years of experience in software development who is interested in a career applying software engineering techniques to modelling software solutions.

Key Responsibilities

• Be the in-house expert for all battery and asset energy dispatch modelling
• Design, implement, and maintain Python modules/packages in the modelling codebase; own components over time and steward their quality and usability for other teams.
• Translate modelling methods into production‑quality code, collaborating with method owners in the Modelling team; ensure implementations are readable, tested, and traceable.
• Improve code quality and developer experience by refactoring for clarity, strengthening interfaces and simplifying implementations.
• Champion automated testing and TDD; driving the adoption of modern software engineering practices in the model development team.
• Participate in code reviews and technical design discussions
• Identifying and addressing architectural bottlenecks and opportunities to improve scalability and developer experience

Skills, Knowledge and Expertise

Required attributes:

• Knowledge of power and energy trading methodologies
• Familiarity with mathematical optimisation methods
• Strong software engineering fundamentals
• Experience of leading others in technical work
• An interest in working in the energy/decarbonization sector
• Professional Python experience (3+ years) in a commercial, team‑based software environment, delivering components used by other teams/customers
• Comfortable collaborating with Modelling, Research, and Product teams to implement methods as robust, maintainable code; motivated to raise standards for others
• A relevant degree in a quantitative field such as Mathematics, Physics, Engineering, or Computer Science

Desirable attributes:

• Experience building software using Test Driven Development and Continuous Delivery
• Experience developing modelling or simulation software, or with mathematical optimisation (LPs/MIPs) - particularly in the energy industry
• Experience in energy trading or energy generation asset simulation
• Experience stewarding internal libraries/SDKs, packaging (pyproject.toml, Poetry/uv) and dependency management at scale
• Experience in managing or mentoring junior colleagues

What we offer

What we offer

• Private Medical Insurance
• Dental Insurance
• Parental Support
• Salary-Exchange Pension
• Employee Assistance Programme (EAP)
• Local Oxford Discounts
• Cycle-to-work Scheme
• Flu Jabs

At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in-office/home working and potentially adjustable working hours. Let’s discuss what works for you and AER during the interview process.

The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity.

To apply, please submit your Résumé / CV, a personal summary, your salary expectations and please inform us of your notice period.

Unfortunately, we are unable to accept applications via email, telephone, or social media platforms. To be considered for this position, please submit your application using the link provided. Applications submitted through any other channel will not be reviewed.