Staff Engineer, Energy Intelligence

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Engineer, Energy Intelligence in United States.

This role is central to designing and optimizing intelligent home energy solutions, directly influencing energy efficiency, user comfort, and grid integration. You will take full ownership of algorithm development and software systems, addressing challenges such as co-optimizing thermostats, home batteries, and electric vehicles. The position involves collaborating across product, design, operations, and engineering teams to deliver impactful, scalable solutions. You will work with large and complex datasets, applying machine learning, statistical modeling, and system design to create real-world impact. The role is fully remote and offers the opportunity to contribute to a rapidly growing team focused on sustainable energy innovation. Your work will shape the efficiency of residential energy systems and provide measurable value to users and the energy grid.

• Design, develop, and productionize algorithms and models for home energy optimization, including thermostats, EVs, and battery systems.
• Analyze diverse datasets, including energy usage, user behavior, weather, and grid signals, to inform algorithm design and system improvements.
• Own end-to-end software architecture and ensure high-quality, maintainable code across the algorithm and platform stack.
• Collaborate with Product, UX, Operations, and Engineering teams to define, prioritize, and deliver impactful features.
• Lead projects independently and provide technical guidance to small engineering groups, fostering cross-functional collaboration.
• Ensure system reliability, security, observability, and operational excellence while integrating with cloud platforms and internal tools.
• Mentor team members and help improve development processes to reduce complexity and enhance productivity.

• Bachelor’s or Master’s degree in Computer Science or a non-CS STEM field with 6–12 years of professional software development experience.
• 4+ years of experience developing and evaluating production-level algorithms and models.
• Proficiency in Python for algorithm-focused software development and strong SQL skills with databases such as PostgreSQL or Redshift.
• Experience with energy systems, smart devices (thermostats, batteries, EVs, solar), or energy markets is highly desirable.
• Familiarity with the software development lifecycle, including design, implementation, testing, deployment, monitoring, and iteration.
• Strong foundation in statistics, optimization, simulation, and machine learning or statistical modeling.
• Experience designing scalable, distributed software systems and collaborating in ambiguous, fast-paced environments.
• Bonus: experience with serverless/cloud-native tools, distributed data processing, or data pipeline orchestration (Prefect, Airflow, etc.).

• Competitive base salary: $170,000 – $220,000, depending on experience and location.
• Fully remote work with home office set-up allowance.
• Flexible vacation policy with a strong culture of work-life balance and meaningful PTO.
• Comprehensive health and wellness benefits, including medical, dental, and vision coverage.
• 401(k) plan with employer contributions.
• Opportunities to collaborate with a passionate, mission-driven team and contribute to large-scale sustainable energy solutions.

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

 Why Apply Through Jobgether? 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1