Senior Optimization Software Engineer [Remote]

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Optimization Software Engineer in Australia.

This role offers the opportunity to work at the forefront of energy systems innovation, developing advanced optimization and machine learning-driven solutions that directly impact the performance of renewable energy and battery storage assets. You will design and implement algorithms that improve how electricity is generated, stored, and dispatched across complex and evolving power markets. Operating in a highly technical and mission-driven environment, you will collaborate with experts in energy, software engineering, and data science to solve large-scale, real-world optimization problems. The work is deeply impactful, contributing to the global transition toward a decarbonized and more efficient energy grid. This is a foundational role within a fast-growing cleantech company, offering significant ownership and visibility. You will also engage with dynamic market rules and evolving regulatory landscapes, shaping how cutting-edge energy products perform in practice.

Accountabilities:

• Develop and implement optimization, forecasting, and control algorithms to maximize the performance of battery storage and renewable energy assets.
• Own algorithmic performance across deployed energy projects, ensuring continuous improvement and operational excellence.
• Design and refine mixed-integer linear and nonlinear optimization models to solve high-dimensional, real-world energy system problems.
• Act as a subject matter expert on electricity market rules, staying current with wholesale market developments and regulatory changes.
• Analyze energy market data and asset performance to identify opportunities for product improvements and new algorithmic approaches.
• Collaborate with cross-functional teams to translate technical insights into scalable, production-ready solutions.

Requirements:

• 5+ years of experience building mixed-integer linear and/or nonlinear optimization models for complex real-world systems.
• Strong understanding of energy systems, including electricity markets, batteries, renewable energy, virtual power plants, or related domains.
• Proficiency in Python with strong software engineering practices and production-level development experience.
• Solid mathematical foundation with expertise in operations research, optimization, or related quantitative fields.
• Strong analytical mindset with high attention to detail and a results-oriented approach.
• Excellent communication skills with the ability to explain complex technical concepts clearly.
• Experience with tools such as Git, CI/CD pipelines, and modern agile development workflows (strong plus).
• Familiarity with SQL databases such as PostgreSQL or MySQL (strong plus).
• Experience with data visualization or analytics dashboards (strong plus).
• PhD in a quantitative field such as operations research, computer science, electrical engineering, economics, or statistics is a plus.

Benefits:

• Competitive compensation package ranging from $140K to $205K.
• Equity participation in a high-growth cleantech company.
• Fully remote work flexibility within Australia.
• Opportunity to work on high-impact problems in renewable energy and grid optimization.
• Early-stage role with strong ownership and influence over technical direction.
• Collaborative and mission-driven engineering culture focused on innovation and real-world impact.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.