The Company

We are partnering with a company on a mission is to accelerate the transition to a reliable, decarbonized grid. They deliver software solutions to electric grid operators, utilities, and renewable energy project developers to tackle the most pressing challenges associated with the world’s most critical infrastructure! If you're interested and motivated to work on complex computational problems and able to work hybrid in Pittsburgh, PA, we’d love to hear from you!

Your Impact

We are looking for a Computational Research Engineer experienced with translating novel computational algorithms and approaches into working initial implementations. You will partner directly with the Chief Technologist to explore the next generation of innovations necessary to accelerate the transition to a reliable, decarbonized grid through complex simulation and optimization technology. You should be comfortable working in a fast-paced research environment to methodically prototype to test ideas and theories. You will play a key role in building out the future technology roadmap, including tasks such as:

• Designing and implementing software experiments to evaluate the efficiency, effectiveness and correctness of innovative approaches to complex problems
• Build performant and high-capacity prototypes utilizing the latest algorithmic, software, and cloud technologies
• Working with other members of the team to understand problem characteristics, present research findings, and determine direction for future research
  

Your work will help continue the revolution in software solutions for a reliable, decarbonized grid!

About You

• PhD or PhD-candidate in Engineering with a computational focus or Computer Science is desired; a few years of applicable software engineering experience is a plus
• Proficient in Python, C++
• Deep knowledge and experience with numerical methods for simulation and optimization
• Experience researching the application of computational algorithms and numerical methods to new application areas
• Experience with high performance computing and computational parallelization frameworks
• Familiarity with utilizing cloud environments to execute large computational tasks is a plus
• Knowledge of power systems is a plus
• Knowledge of electronic design automation tools and methods is a plus