Staff Engineer, Energy Intelligence (Remote, US)

Who We Are

Renew Home is on a mission to change how we power the world by making it easier for customers to save energy and money at home as part of the largest residential virtual power plant in North America.

We partner with industry-leading brands to better manage residential energy for users by prioritizing efficiency, savings, and comfort — and cleaner energy for everyone.

We are an Equal Opportunity employer striving to create a diverse, equitable, and inclusive work environment where everyone feels that they have a voice that is heard.

We strongly encourage candidates to check out our website at www.renewhome.com  to learn more about the world-changing work we are doing.
Role Summary

Renew Home is seeking a talented and self-driven Staff Software Engineer to join the growing Energy Intelligence team. The Energy Intelligence team at Renew Home is responsible for the home energy optimization feature set which is at the heart of the value Renew Home provides. You’ll take significant ownership of end-to-end algorithm development—from discovery to deployment—contributing directly to the value we provide the grid and to company performance. This includes tackling challenges like co-optimizing thermostats, home batteries, and electric vehicles - taking into account user needs, physical system dynamics, and grid demand.

What You Will Do

Algorithm & Model Development

• Optimize load profiles across multiple classes of devices including thermostats, home batteries, and EVs.
• Develop and productionize algorithms and models using machine learning and statistical techniques.
• Analyze diverse datasets such as device temperature, energy consumption, user interactions, grid carbon emissions, weather, and energy markets to inform product direction and algorithm design.
• Show significant ownership of the algorithms team’s software architecture.

Project Leadership & Collaboration

• Collaborate with Product, Product Design/UX, Operations, and Engineering to define and deliver impactful features.
• Drive software projects independently over multi-week timeframes, designing and leading longer term efforts within the team and cross-functionally.
• Provide technical leadership in small engineering groups.
• Help clarify ambiguous problems and shape solutions that balance technical feasibility and business needs.

System Design & Engineering

• Design, implement, and maintain systems and features, including integration points with other teams and external platforms.
• Work across our stack: Python, PostgreSQL, Prefect, AWS/GCP (CDK, ECS/EKS, RDS, Redshift, S3, etc.), Apache, Git, and Jira.
• Uphold high standards in code quality, testing, security, observability, and operational excellence.
• Foster a collaborative and efficient engineering culture, reducing complexity and improving development processes.

• Bachelor's or Master’s degree in Computer Science—or non-CS STEM degree. 6-12 years professional software development experience. 
• Significant experience developing and evaluating algorithms and models in production environments (typically 4+ years).
• Proficiency in Python for algorithm-focused software development.
• Strong SQL skills and experience with databases such as PostgreSQL, MySQL, Oracle, or Redshift.
• One or more of the following:
• Energy industry knowledge or experience with energy markets.
• Understanding of building energy systems physics.
• Experience with smart energy devices such as thermostats, EVs, solar, batteries, and water heaters.
• Experience leading the design of complex, scalable software systems.
• Strong problem-solving skills and attention to detail.
• Ability to navigate ambiguity and collaboratively define clear problem statements and solutions at a system level.
• Familiarity with the full software development lifecycle, including design, implementation, testing, deployment, monitoring, and iteration.
• Solid foundation in statistics, including inference, simulation, and optimization.
• Hands-on experience developing machine learning or statistical models.
• Bonus Experience:
• Scalable distributed data processing.
• Serverless and cloud-native tools such as AWS Lambda, GCP Pub/Sub.
• Data pipeline development using Prefect, Airflow, or similar tools.

What You'll Get

• A full-time position, with a competitive salary based on experience. The base salary for this role is: $170k - $220k. We use market data and consider your job family, background, skills, experience, and U.S. work location to determine compensation within our established pay range.
• Fully remote work environment with home office set-up allowance.
• Real and lived work-life balance - Company perks include no pre-set vacation limits (with a top-down culture of taking meaningful PTO every year!), parental leave benefits, and a corporate value of working sustainably and putting families first.
• Competitive benefits package that includes numerous health and wellness benefits.
• 401(k) plan, with employer contributions to the same.
• Opportunity to work with amazing people who are passionate about their mission, thriving in a fully-remote work environment, and learning and growing every day.

At this time, Renew Home is unable to sponsor or take over sponsorship of employment visas. Candidates must be authorized to work in the United States without current or future immigration from the company, including training plans for foreign students.

EQUAL OPPORTUNITY EMPLOYER

Individuals seeking employment at Renew Home are considered without regard to race, color, religious creed, sex, gender identification, national origin, citizenship status, age, physical or mental disability, sexual orientation, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state or local law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.