Optimization Engineer

Job Description

Job Description

Salary :

Optimization Engineer

Habitat Energy is a fast growing technology company focussed on the physical and financial optimisation of energy storage and renewable generation assets globally through complex models and trading. By maximising the returns from these assets we aim to drive investment in renewable energy and accelerate the transition to a low carbon world. Our rapidly growing team of 110+ people in Austin, TX, Oxford, UK, and Melbourne, Australia brings together exceptionally talented and passionate people in the domains of energy trading, data science, software engineering and renewable energy management.

We have a vacancy for an Optimization Engineer to join our US Data Science team based in Austin, Texas reporting to the Optimization Lead. This role will drive the development and implementation of advanced optimization models, focusing on storage (BESS), trading (DART), portfolio optimization, and congestion management across US power markets.

Your responsibilities will include :

Optimization Model Development and Maintenance

• Collaboratively design and implement optimization models for energy storage as part of the Data Science team, focusing on storage + renewable systems, to maximize portfolio performance and integrate market dynamics across ISOs.

Deployment and Integration

Performance Tracking & Iteration

Must have skills and experience :

Nice to have skills and experience :

Ultimately we are looking for someone who is a great fit for our company so we encourage you to apply even if you may not meet every requirement in this posting. We value diversity and our environment is supportive, challenging and focused on the consistent delivery of high quality, meaningful work.

In return, well give you a competitive salary, flexible working arrangements and a lot of personal development opportunities. We operate a hybrid working model with at least 2 days in our office in Austin.

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