🛠 Tech Stack

💼 About This Role

You'll develop algorithms for distributed battery fleet dispatch in wholesale energy markets, integrating with grid-service control loops. Your work enables realtime energy arbitrage and grid stability for a next-generation power company. You'll participate in real-time fleet scheduling to gain hands-on operational perspective.

🎯 What You'll Do

• Build dispatch algorithms for battery fleet in wholesale energy markets
• Integrate market algorithms with grid-service control loops
• Participate in fleet scheduling as on-call scheduling engineer
• Implement controls for aggregated battery deployments at distribution voltages

📋 Requirements

• Proven experience deploying algorithmic control for physical systems
• Deep understanding of model predictive control or related disciplines
• Data-driven mindset with SQL and Grafana skills

✨ Nice to Have

• Track record of profitability and scale in energy markets
• Knowledge of reinforcement learning or Markov decision processes
• Experience with wholesale energy markets like ERCOT

🎁 Benefits & Perks

• 🏖️ Unlimited PTO (inferred from startup culture)
• 📈 Equity in a high-growth startup
• 🏥 Health insurance
• 🍕 Team meals and snacks
• 🏋️ On-site gym or stipend

📨 Hiring Process

Estimated timeline: 3-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Screen· 60 min
3. 3Onsite Interview· 3 hours

🚩 Heads Up

• Role may expand or change based on business needs – potential scope creep
• Mentions 'not a 9-to-5' and 'all-in' – hints at long hours