Enverus is looking to solve the problem of making energy affordable and accessible to the world by helping customers make better decisions through analytics and insights, and the Computational Software Engineer role is expected to contribute to this goal by building powerful cloud software to help make it faster, easier, and cheaper for renewable energy projects to be deployed on the electric grid.
Requirements
- Proficiency in Python; knowledge of C++ is a plus
- Experience in developing and shipping high-performance numerical products/backends, utilizing computational parallelization frameworks
- Skills in algorithms and data structures to efficiently solve complex numerical optimization problems
- Experience in deploying/maintaining/debugging software on a cloud environment such as AWS is a plus, especially utilizing tools such as Docker, Kubernetes, AWS SQS/SNS, etc.
- Knowledge of power systems and power systems simulation is a plus
- Knowledge of numerical methods for simulation and/or optimization is a plus
Responsibilities
- Translating traditionally manual grid study processes into well-structured, performant code;
- Maintaining and enhancing our SaaS application to meet the needs of current and future customers;
- Deploying and testing large-scale parallel-compute code on cloud-based infrastructure;
- Working with other members of the team to define product requirements, develop tests, and validate results.
- Your work will help project developers deploy more (and better) zero-carbon generation projects on the grid;
Other
- Results-oriented individual, looking to learn and grow, and make a positive impact
- BS/MS/PhD in Electrical Engineering /CE/ECE/CS is preferred
- Ability to sit for long periods, work on a computer with repetitive motions and utilize devices typically found in an office environment.
- Travel requirements – up to 10% or as required for company needs.
- Regular and predictable attendance is required.
