T

TAR

Off-grid power plants for AI data centers

Staff Software Engineer

Software EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

  • Typically 8+ years of software engineering experience, including ownership of production systems and leadership of complex technical projects; candidates with fewer years may qualify by demonstrating comparable scope and impact.
  • A bachelor's degree in computer science, engineering, or a related technical field, or equivalent practical experience.
  • A strong record of personally building and shipping production software, with current depth in implementation, debugging, and system design.
  • Experience owning important systems through development, deployment, and ongoing operation.
  • Evidence of leading complex technical work across multiple systems or groups, including situations where requirements or ownership were initially unclear.
  • The judgment to choose an appropriately simple solution, recognize when a decision has wider consequences, and explain trade-offs clearly.
  • Depth in at least one of TypeScript, Python, or Rust, with the ability to work across languages and technical boundaries.
  • Experience translating business or domain needs into technical priorities and an achievable delivery plan.
  • The ability to improve other engineers’ work through collaboration, constructive feedback, and mentoring.

Responsibilities

  • Personally design, implement, and operate critical software, from simulation and optimization services to equipment integrations; take on difficult implementation and debugging work, including tracing mismatches between model predictions and observed equipment behavior.
  • Shape the technical roadmap with company leadership and domain experts by identifying dependencies, sequencing work, and making the consequences of competing priorities explicit.
  • Turn ambiguous needs into concrete technical proposals with clear scope, alternatives, and a practical path to delivery.
  • Lead architectural decisions across connected systems, such as keeping equipment data and plant configurations consistent across design, simulation, and operations; establish clear data models and interfaces while preserving ownership within individual engineering areas.
  • Work with power systems, construction, and robotics counterparts on shared requirements and interfaces, including defining telemetry and command exchanges, handling communication failures, and testing integrations before deployment.
  • Improve testing, observability, release practices, and validation where they materially strengthen reliability or help the team deliver faster.
  • Mentor engineers through design discussions, code reviews, and collaborative problem-solving; contribute to hiring and help develop technical judgment across the team.

Desired Qualifications

  • Experience building software for energy, industrial infrastructure, robotics, or other environments where software interacts with physical systems.
  • Deep experience in simulation, optimization, geospatial systems, design automation, product engineering, or industrial controls.
  • Experience building shared platforms or integrating systems across teams with different technical and operational needs.
  • Experience delivering software in a small team where the candidate helped define both the problem and the approach.

About the Company

TAR

Off-grid power plants for AI data centers

TAR builds and operates behind-the-meter power plants for AI data centers that cannot wait out a utility interconnection queue. The company designs islanded microgrids pairing solar, battery storage, and gas peakers, then manufactures, installs, and runs them, handling power electronics, microgrid controls, dispatch software, and site construction in-house. Compared with grid interconnection, which can take years to clear, an off-grid plant can be sited and energized on the developer's own schedule, and TAR says it is working with a large compute provider and targets 5 GW by 2028. Its goal is to remove power as the constraint on AI buildout by owning generation end to end.

Company size
11-50
Company stage
Series A
Total funding
$147M
Headquarters
Texas, United States
Founded
2025

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