Base Power Company
Software Engineer, Algorithms & Infrastructure
Austin, TX
Sponsorship not specifiedDetected 8 days ago
AlgorithmsAWSGCPAzureMachine LearningMLOpsCollaboration
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odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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Files H-1B transfers
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About the role
- You'll take ambiguous, high-stakes market and control problems and turn them into reliable, automated infrastructure: the simulators, models, and trading-strategy systems behind how our batteries buy, sell, and dispatch power.
- This role has direct, measurable impact on Base's top and bottom line.
Responsibilities
- Design, build, and maintain the infrastructure, platforms, and algorithmic components we rely on for decisions about battery control and financial market participation - simulators, statistical models, algorithmic trading strategies.
- Build the monitoring, alerting, and reporting that tells us how our automated decision processes are performing.
- A world-class ownership mindset - you own outcomes, not just tasks.
- As a Software Engineer on the Markets team, you'll build and automate the decisions our battery fleet and financial commitments run on, from real-time battery dispatch to long-term market participation.
- Every dollar of revenue and every megawatt of grid support we deliver runs through a decision this team automates - from real-time battery dispatch to long-term financial commitments.
Requirements
- Strong ability to systematize requirements, define success for ambiguous problems with multiple objectives, and propose pragmatic solutions.
- Hands-on experience with AI/ML and HPC infrastructure, from a major cloud provider (AWS, GCP, Azure) or specialized ones (Modal, Beam).
- Experience solving MLOps or similarly challenging observability/monitoring/versioning problems.
Nice to have
- experience with decision-making under uncertainty for stateful systems.
- As we expand into new markets and geographies, the fundamentals get harder: more uncertainty, more constraints, more money on the line.
- This team gets to define, from scratch, how a distributed battery fleet should behave in power markets that were never built for it, with direct, measurable impact on Base's top and bottom line.
- Please note: Base is a startup, which means priorities shift and evolve quickly.
- Your role may expand or change based on the needs of the business at any given time, so the responsibilities listed may not be exhaustive.
- First Principles Thinking: Question assumptions.
- Principles > rules.
- Operate at Base Pace: Focus on what matters, act quickly, and learn by doing.
Benefits
- De-risk, implement, and maintain ML-based methods (supervised learning, model-predictive control, imitation learning for dynamic systems like DAgger) for automated decision making.
- Strong interest in applied math and machine learning methods.
Company info
- Base is America's next-generation power company.
- We're rebuilding the foundation of modern civilization-electricity-by deploying a vast network of distributed batteries that is transforming today's fragile, centralized grid into a resilient and abundant system.
- We are engineers, operators, and creatives solving some of the most complex, interdisciplinary challenges of our time.
- Base's Markets team owns the systems that decide how our fleet of batteries buys, sells, and dispatches power across every market we operate in.
- As we expand into new markets and geographies, the fundamentals get harder:
- more uncertainty, more constraints, more money on the line.
- Please note:
- Base is a startup, which means priorities shift and evolve quickly.
- First Principles Thinking:
- Question assumptions.
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This listing is sourced directly from Base Power Company's careers page and normalized into a canonical job model.