This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description 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. Qualifications - 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.). Requirements - 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.). Benefits - 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.

• Design, develop, and maintain APIs and services supporting ad campaign management, targeting, delivery, attribution, and reporting • Architect scalable, reliable, and high-performance distributed systems • Optimize systems for high-throughput and low-latency event/data processing • Drive architectural decisions and establish development patterns • Collaborate with distributed teams to ensure seamless integration and delivery • Mentor and guide other engineers, fostering technical excellence • Ensure code quality, maintainability, and alignment with long-term product goals

• You will be responsible for owning the design, development, and reliability of core platform services that underpin account and identity management across all Coinbase products. • Architecting and delivering backend platform services for account onboarding, organization management, and multi-user access across Coinbase products. • Leading the technical evolution from fragmented identity models to a unified accounts platform, defining APIs, data models, and system abstractions. • Owning reliability, scalability, and code quality for Tier-0/Tier-1 backend systems serving millions of users. • Driving end-to-end execution on complex, cross-functional initiatives such as Coinbase Workspace (unified organization management). • Championing engineering standards, code and design review culture, and technical strategy for the team. • Mentoring engineers and accelerating team velocity. • Collaborating cross-functionally with product, SRE, security, compliance, and infrastructure teams to deliver robust and compliant solutions. • Proactively identifying opportunities for platformization, modernization, and performance improvements to support future business growth.

• Diagnose and resolve cross-cutting technical issues affecting system performance and reliability. • Improve platform-wide observability, monitoring, and debugging capabilities. • Investigate AI agent behavior and improve output quality through structured evaluation and iteration. • Refactor and enhance legacy or complex code to improve scalability and maintainability. • Identify architectural bottlenecks and implement system-wide improvements. • Collaborate with product and customer teams to understand real-world failures and translate them into technical solutions. • Improve performance and reliability across infrastructure and services. • Drive higher technical standards and cleaner code practices across the system. • Operate proactively, identifying and solving problems before they are formally scoped.