Senior Computational Software Engineer

2 Weeks ago • All levels • Software Development & Engineering • $140,000 PA - $200,000 PA

Job Summary

Job Description

Enverus is seeking a Senior Computational Software Engineer to join their Power & Energy Transition team onsite in Pittsburgh, PA. This role focuses on accelerating the transition to a reliable, decarbonized grid by building powerful cloud software. The engineer will translate manual grid study processes into performant code, maintain SaaS applications, deploy parallel-compute code on cloud infrastructure, and collaborate on product development. The work directly contributes to deploying more zero-carbon generation projects on the grid, helping make energy affordable and accessible globally.
Must have:
  • Translate manual grid study processes into performant code
  • Maintain and enhance SaaS application for customer needs
  • Deploy and test large-scale parallel-compute code on cloud infrastructure
  • Collaborate on product requirements, tests, and validation
Good to have:
  • Knowledge of C++
  • Experience in deploying/maintaining/debugging software on a cloud environment such as AWS (Docker, Kubernetes, AWS SQS/SNS)
  • Knowledge of power systems and power systems simulation
  • Knowledge of numerical methods for simulation and/or optimization
  • BS/MS/PhD in Electrical Engineering /CE/ECE/CS
Perks:
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Income Protection (disability, life/AD&D, critical illness, accident)
  • Employee Assistance Program (EAP)
  • Healthcare Spending Account (HSA)
  • Commuter benefits
  • Lifestyle & Wellbeing Program
  • Pet Insurance
  • Variable Compensation (bonus)

Job Details

Description

Why YOU Want This Position

At Enverus, we’re committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.

We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we’re helping our customers make better decisions that help provide communities around the world with clean, affordable energy.

The energy industry is changing fast. But we’ve continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities, to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn’t be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.

Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow.

We are currently seeking a Computational Software Engineer to join our Power & Energy Transition team, onsite.

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!

Performance Objectives

We are looking for a motivated software engineer who is comfortable with delivering high-quality software in a fast-paced environment. We’re building powerful cloud software to help make it faster, easier, and cheaper for renewable energy projects to be deployed on the electric grid. You will play a key role in building out these applications, with tasks such as:

  • 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!

Competitive Candidate Profile

  • Results-oriented individual, looking to learn and grow, and make a positive impact
  • 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
  • BS/MS/PhD in Electrical Engineering /CE/ECE/CS is preferred

Physical Demands

  • Ability to sit for long periods, work on a computer with repetitive motions and utilize devices typically found in an office environment.
  • Able to safely lift up to 35 pounds at a time using safe lifting techniques.
  • Ability to communicate effectively with another person.
  • Regular and predictable attendance is required.
  • Ability to work in an office environment as required.
  • Travel requirements – up to 10% or as required for company needs.

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