66 applicants

Company

Original Job Post

Fermata Energy · 4 days ago

Optimization Engineer

United States

Full-time

Remote

Mid Level

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Responsibilities

Work closely with the optimization and machine learning teams to collaboratively develop and improve optimization models.

Partner with internal business units to conduct in-depth financial analyses and simulations, aiding in data-driven decision-making and growing Fermata’s customer base

Construct and run experiments to understand and improve our system’s performance for various grid services

Run experiments to tune algorithms to maximize performance of deployed assets

Share and convey your analyses, technical concepts, and recommendations to stakeholders, ensuring that your insights are clearly understood and impactful in guiding the organization

Contribute to Fermata's codebase by writing clean, well-tested code, reinforcing our commitment to maintain a high standard of coding practices.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Optimization ModelingLinear ProgrammingPythonObject-Oriented ProgrammingData VisualizationsEnergy Systems ModelingEconomic AnalysisProblem-SolvingCommunicationSelf-StarterDistributed Energy ResourcesElectric VehiclesEnergy MarketsAPIsAdvanced OptimizationStochastic OptimizationOptimal ControlDecomposition MethodsMeta-heuristicsCommercial SolversGurobiCPLEXCvxpyMachine LearningForecastingUncertainty QuantificationDatabase TechnologiesPostgreSQLCassandraData Engineering

Required

Bachelors or advanced degree in operations research, computer science or a related technical field.

Proven experience in formulating and solving optimization models, including Linear Programs (LPs) and Mixed-Integer Linear Programs (MILPs)

Strong proficiency in Python and object-oriented programming

Excellent written and verbal communication, including producing effective and compelling data visualizations

Subject matter expertise in energy systems modeling and economic analysis

A self-starter who is comfortable taking ownership in a fast-paced startup environment.

Preferred

Familiarity with distributed energy resources, electric vehicles (EVs), or energy markets and APIs such as Genability

Experience with advanced optimization topics such as stochastic optimization, optimal control, decomposition methods, and meta-heuristics.

Experience with open source and commercial solvers and interfaces such as Gurobi, CPLEX, or cvxpy.

Proficiency in machine learning, including forecasting and uncertainty quantification.

Prior experience in a client-facing role as a consultant or in a similar capacity is beneficial.

Familiarity with database technologies, including PostgreSQL, Cassandra, and data engineering best practices.

Experience with a cloud platform, such as AWS, Azure, or GCP, is a plus.

Knowledge or experience with git, Scala, Docker, Kubernetes, Argo, as well as familiarity with Agile methodologies and tools like Jira, would be advantageous.

Company

Fermata Energy

Fermata Energy was created for the dual purposes of accelerating the adoption of EVs and accelerating the transition to a renewable energy future.

Founded in 2013

Charlottesville, Virginia, USA

11-50 employees

https://www.fermataenergy.com/

H1B Sponsorship

Fermata Energy has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Trends of Total Sponsorships

2023 (4)

2022 (2)