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Senior Software Engineer

Energy Exemplar
CompanyEnergy Exemplar
CategoryEngineering
LocationAdelaide Australia
RemoteOn-site (inferred)
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted22 Jul 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
About Energy Exemplar In an era where the world is rapidly advancing towards a cleaner future through decarbonization, Energy Exemplar’s mission lies in ‘Empowering Transformative Energy Decisions’. Founded in 1999 in Adelaide, Australia, our award-winning software portfolio encompassing the modeling and simulation platform PLEXOS®, Aurora, and Adapt2, is trusted by innovative organizations across the globe. Through our technology and people, we strive to enable stakeholders from across the entire energy value chain to revolutionize the energy ecosystem and to collaboratively plan and execute for a sustainable energy future with unprecedented clarity, speed, and innovation.  Our impact is global and is being recognized across the industry. Some of our recent accolades include: SaaS Company of the Year (2025) – Global Business Tech Awards. Environmental Impact Award (2025) – E+E Leaders Awards. IPPAI (Independent Power Producers Association of India) Power Awards (2025) - Winners Finalist: Platts Global Energy Awards (2024) – Grid Edge category Finalist: Reuters Global Energy Transition Awards (2024) – Technologies of Change Top 50 Marketing Team (2024) – Voted by the public at the ICON Awards. How We Work Energy Exemplar is growing fast around 30% year on year and, that growth is driven by how we work. We trust our team to deliver great results from wherever they work best, whether that’s at home, in the office, or on the move. We’re a global team that values ownership, integrity, and innovation. You’ll be supported to balance work and life in a way that works for you, and empowered to take initiative, solve problems, and make an impact, regardless of your background, location, or role. Our four core values, Customer Success, One Global Team, Integrity & Ownership, and Innovation Excellence aren’t just words. They show up in how we collaborate, how we solve, and how we grow together. About the  Position: Join our team to work on the core PLEXOS engine, building and optimizing advanced algorithms that power energy market simulations worldwide. This role is perfect for a software engineer who thrives on solving complex, high-impact problems at the intersection of mathematics, energy systems, and high-performance computing. Expert-level proficiency in C# and modern .NET development, with strong emphasis on high-performance, scalable algorithmic code Proven ability to design, implement, and optimize mathematical and optimization algorithms for large-scale systems Strong experience with optimization solvers (e.g., CPLEX, Gurobi, Xpress) and solver integration Advanced debugging, profiling, and performance-tuning skills for computationally intensive applications Solid understanding of software architecture, modular design, and maintainable engine-level code Ability to work effectively with complex legacy codebases while driving modernization and improvement Experience leading technical design discussions and providing mentorship to senior and junior engineers Strong analytical thinking, problem-solving, and communication skills Knowledge: Deep knowledge of power systems modelling, understanding of electricity markets and market mechanisms (e.g., energy, capacity, ancillary services) Strong foundation in operations research, including Linear, mixed-integer, and nonlinear optimization, Stochastic and scenario-based modelling Familiarity with time-series modelling, large data sets, and numerical stability issues Knowledge of parallel computing, multithreading, and memory management for algorithm-heavy engines Candidate Requirements & Qualifications:  5-8+ years of professional experience in software engineering, with significant focus on algorithm or engine development Demonstrated experience working on or developing PLEXOS models or comparable power market simulation/optim
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