About the position
Enverus is the leading energy SaaS company delivering highly technical insights and predictive/prescriptive analytics that empower customers to make decisions that increase profit. Enverus' innovative technologies drive production and investment strategies, enable best practices for energy and commodity trading and risk management, and reduce costs through automated processes across critical business functions. Enverus is a strategic partner to more than 6,000 customers in 50 countries. We are currently seeking a Senior Computational Engineer to join our Power & Energy Transition team. This role offers the opportunity to join a rapidly growing company delivering industry-leading solutions to customers in the world's most dynamic and fastest-growing sector. The Pearl Street Technologies team's mission is to accelerate the transition to a reliable, decarbonized grid. Pearl Street Technologies was recently acquired into the Power & Energy Transition team at Enverus. We deliver software solutions to electric grid operators, utilities, and renewable energy project developers to tackle the 'interconnection bottleneck,' the process by which large-scale solar, wind, and battery projects connect to the power grid. To date, nearly 300 billion watts' worth of renewable energy projects have been modeled in our software to expedite their interconnection to the grid - equivalent to nearly 700 million solar panels, 30 billion LEDs, or 390 million horses! If you are interested in solving the most pressing challenges of the world's most critical infrastructure, we'd love to hear from you!
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
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
- Knowledge of electronic design automation tools and methods is a plus
- BS/MS/PhD in EE/CE/ECE/CS is preferred, with 4+ years of experience developing and deploying applications
Benefits
- Medical
- Dental
- Vision
- Income Protection (disability, life/AD&D, critical illness, accident)
- Employee Assistance Program (EAP)
- Healthcare Spending Account (HSA), Commuter
- Lifestyle & Wellbeing Program
- Pet Insurance
