Sr. Software Engineer
(level based on experience)
You will be one of the early team members in a disruptive tech company in the E-mobility space. Help us turn electric vehicles into mobile power plants ™!
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Your technical expertise, leadership, and vision will have significant impact on the company’s path forward. As a technical leader in a growing tech startup, you will be an individual contributor yourself (everyone in our team is). So, if you love coding as much as you love leading a team of smart and driven developers, read on.
You have a wide range of skills and experience across full software stacks. You know how to design and implement scalable, secure, robust, adaptable, and testable software infrastructure. You will lead several first-of-a-kind software systems in the energy space and will be responsible for implementation, testing, and maintenance of the company’s software solutions.
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You have a deep understanding of software standards, tools, services, and best practices. You are passionate about building robust software, from design to deployment at various stages of the technology.
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You enjoy working on multi-disciplinary teams, have excellent communication skills, and have a proven track record of thriving in teams with diverse backgrounds.
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Requirements:
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5+ years of experience in software engineering.
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Experience with:
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design and implementation of highly scalable software architectures
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cloud-based services (AWS, GCP, Azure)
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CI/CD, testing, automation, and quality control methods
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database design and deployment (MySQL/Postgres/NoSQL)
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containerization (Docker)
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agile development and best practices
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Familiarity with web technologies and frameworks (React, PHP, Node, Dash, CSS, etc.).
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Proficiency in writing clean and high-quality code in Python (3.x).
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Basic familiarity with data science concepts.
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Excellent communication skills and ability to clearly explain complex concepts.
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High attention to detail.
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Complete comfort working in fast-paced environments.
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Strong Plus:
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Familiarity with embedded software development.
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Experience with building software in the energy and/or EV space.
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Drive Powerline is an equal-opportunity company.
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Sr. Machine Learning Engineer
(level based on experience)
Help us turn electric vehicles into mobile power plants ™!
You will be one of the early team members in a disruptive VC-backed cleantech company in the E-mobility space. Our solution democratizes energy by empowering EV drivers to directly participate in grid modernization, and get paid for it. We have landed several exciting contracts that will unlock huge value for multiple stakeholders in the electricity supply chain, especially EV drivers. Come help us execute on this vision!
Your technical expertise, leadership, and vision will have a significant impact on the company’s path forward. You will be responsible for design and development of machine learning forecasting solutions at the intersection of E-mobility and Energy. You are experienced with advanced timeseries forecasting algorithms for supervised, unsupervised, and reinforcement learning. You have a demonstrated passion for and have worked in the E-mobility/Energy space and have solved challenges through building machine learning solutions.
You are expected to take initiative, bring new ideas, and make recommendations for the entire software stack where it relates to algorithms. Being one of the core team members, you will have direct input in our product roadmap and company strategy.
Requirements
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5+ years building Machine Learning models for real-world problems with large dimensionality and massive datasets.
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Experience forecasting wholesale electricity market prices.
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Strong knowledge of energy markets, EV/Fleet optimization, batteries, Virtual Power Plants, renewable energy, energy policies/regulations, and/or energy systems.
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Expert in Python and its Data Science libraries.
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Experience with building and training neural nets.
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Familiarity with version control tools such as Bitbucket and GitHub.
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Familiarity with database query languages, such as MySQL, PostgreSQL, cQL, etc.
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Excellent communication skills and ability to clearly explain complex concepts.
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High attention to detail and complete comfort working in fast-paced environments.
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Masters or PhD in relevant field. Strong math and statistics foundation.
Strong Plus
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Experience with convex optimization and economic dispatch algorithms.
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Familiarity with visualization technologies and building dashboards.
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Drive Powerline is an equal opportunity company.
Sr. Energy Market Analyst
(level based on experience)
Help us turn electric vehicles into mobile power plants ™!
You will be one of the early team members in a disruptive VC-backed cleantech company in the E-mobility space. Our solution democratizes energy by empowering EV drivers to directly participate in grid modernization, and get paid for it. We have landed several exciting contracts that will unlock huge value for multiple stakeholders in the electricity supply chain, especially EV drivers. Come help us execute on this vision!
We are looking for someone with strong knowledge of electricity markets in North America, Australia, and Europe, demonstrated skill in data analysis using Python, expertise in visualization, and a passion for extracting insights from data.
Requirements
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3+ years of experience analyzing, trading and/or supporting trading decisions in the following wholesale energy markets: AEMO, CAISO, and/or ERCOT.
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Experience combing through large wholesale energy market databases, performing high-quality analyses, and extracting data-driven insights for operational decisions.
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Ability to support algorithm engineers for new forecasting and optimization products.
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Ability to develop automated reports, analysis, and dashboards to continually monitor and track energy market trends and EV charging behavior.
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Experienced in Python and its Data Science libraries.
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Familiarity with energy markets, EV/Fleet optimization, batteries, Virtual Power Plants, renewable energy, energy policies/regulations, and/or energy systems.
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Strong critical thinking, decision-making, and problem-solving skills.
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Excellent communication skills and ability to clearly explain complex concepts.
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High attention to detail and complete comfort working in fast-paced environments.
Strong Plus
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Familiarity with Git, Jira / Confluence, Docker.
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Familiarity with database query languages, such as MySQL, PostgreSQL, cQL, etc.
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Experience with convex optimization and/ or forecasting methods.
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Masters or PhD in relevant field. Strong math and statistics foundation.
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Drive Powerline is an equal opportunity company.
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