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Algorithms Engineer

Base Power - Austin, TX, Austin, Texas, United States

Posted Apr 20, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
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Where they hire

State eligibility is not yet verified.

About this role

Algorithms Engineer Austin, TX, Austin, Texas, United States About Base 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. About the Role Algorithms engineering at Base is the heart of our distributed fleet control and coordination. The fleet aggregation and distribution loop is a sequential decision making problem; algorithms engineers will work to solve this problem in a variety of settings and fleet configurations. Algorithms engineers are first-class members of our trading desk, and become part of realtime desk rotation, gaining hands on perspective about how the fleet behaves under real world conditions. What You'll Do - Build and develop algorithms for distributed battery fleet dispatch for realtime energy arbitrage and ancillary services in wholesale energy markets (e.g. ERCOT, etc). - Integrate wholesale energy market operations algorithms with grid-service control loops for voltage regulation and system peak shaving. - Participate in fleet scheduling as an on-call scheduling engineer. - Implement controls for first-of-its-kind concentrations of aggregated battery deployments at distribution system voltages. What You'll Bring - Proven experience deploying algorithmic control for physical systems. Track record of profitability and scale in energy markets is a plus. - Deep understanding of any number of control or control-adjacent disciplines: e.g. model predictive control, reinforcement learning, Markov decision processes, signal processing. -

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