About Corva
Corva has built a first-of-its-kind energy app store on a bedrock of best-in-class technologies, data pipelines, and a secure and scalable architecture. Our energy solutions solve today's toughest well delivery challenges, from well design through drillout. The ever-evolving platform is not only future-proof for digitizing operations but is your toolkit to accelerate sustainability and energy transition goals. Our platform is built for speed and reliability and delivers unmatched features and capabilities.
Corva is powering worldwide innovation by driving efficiency, productivity, and profitability with our innovative energy solutions.
Mission
Corva’s mission is to accelerate the future of energy.
Values
Boldness: Corvanauts have the confidence and courage to question status quo for the products we make and the relationships we cultivate.
Own End-to-End: We take ownership of what we start and see it through to completion through trust and dependability.
Transparency: It's crucial to be open and honest and consistent with updates and data flow with customers and colleagues. We value the free-flowing of information and data to make better decisions.
Bias Action: Corvanauts don't sit still - our default mode is taking action! We make progress through high-quality iterations. Failure is built into the process and success is defined by the number of shots on goal.
About the role
The Senior Research Engineer is responsible for performing research and developing algorithms to achieve project requirements. The Engineer will work on Agile software teams to develop robust solutions for our customers. We build physics-based, rule-based, data-driven, and machine-learning models to simulate processes and recognize patterns in drilling, completions, and geoscience operations. Senior Research Engineers work independently on projects and provide technical leadership for junior teammates.
What you'll do
- Develop efficient and effective real-time models that lead the industry
- Conduct research on drilling, completion, and geoscience operations
- Develop logic and algorithms using analysis of drilling, completions, and geoscience data streams, trends, and anomalies
- Develop backend code in Python and test on local and various development environments
- Develop, train, test, and optimize machine learning models
- Work on Agile software development team with product management and software developers
- Communicate with customers to resolve issues as needed
- Review data and trends to identify value-added insights to customers
- Identify and communicate opportunities to improve efficiencies in both Corva and customer operations
- Provide technical leadership for junior R&D teammates including algorithm and logic development; code review, quality, and speed; and mentoring
- Collaborate with R&D team on product development and product support
- Be a great teammate who is supportive and willing to help others
- Communicate with R&D team, other Corva teams, and management
- Always put accuracy first while balancing Minimum Viable Product needs with speed of development
- Document work and complete written reports on time and with high quality
- Support operations with clear procedures for new products and for customer support
- Meet or exceed timeframes and deadlines; ensure that all priorities have clear milestones and deadlines before beginning project
- Think beyond engineering equations to anticipate drilling problems, devise candidate solutions, and recommend / choose the best alternatives
- Help R&D team meet KPI targets
- Be on call for solving data issues as required
- When on PTO ensure a backup plan is in place for tasks and responsibilities
- Other duties as required
Qualifications
- Basic knowledge of drilling or completions operations
- Ability to identify anomalies and problem data
- Outstanding Python and data science skills
- Basic skills, knowledge, and abilities in machine learning and cloud computing
- Excellent written and verbal communication skills in English
- Proven ability to work effectively with teams
- Excellent analytical thinking skills
- Ability to conduct root cause analysis and devise logical, efficient solutions
- Minimum Master’s degree in petroleum engineering or other engineering discipline
- Recommended PhD in engineering discipline