Staff Software Engineer: AI-Driven Energy Infra & Automation

TAR

San Francisco (CA)

On-site

USD 180,000 - 260,000

Full time

11 days ago

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Job summary

TAR is seeking a Staff Software Engineer to build critical software for power campuses, from simulation to energy management. You will own a core technical area, shape architectural decisions, and mentor engineers while coordinating with leadership and domain experts.

The role is based at the San Francisco engineering office, requiring production-level coding, debugging, and result validation to enable scalable, GW-scale energy infrastructure.

Qualifications

  • 8+ years of software engineering experience with ownership of production systems.
  • Strong record of shipping production software and deep implementation, debugging, and design skills.
  • Experience leading complex work across multiple systems or groups.

Responsibilities

  • Design, implement, and operate critical software across simulation, design automation, construction software, and energy management.
  • Shape the technical roadmap with leadership and domain experts.
  • Turn ambiguous needs into concrete technical proposals with clear scope and alternatives.
  • Lead architectural decisions across connected systems and ensure data models stay consistent.
  • Collaborate with power systems, construction, and robotics teams on shared requirements and interfaces.
  • Improve testing, observability, release practices, and validation for reliability and faster delivery.
  • Mentor engineers through design reviews and help with hiring and technical judgment.

Skills

8+ years
Leadership
System design
TypeScript
Python
Rust

Education

Bachelor's degree in CS/Engineering

Job description

TAR is seeking a Staff Software Engineer to build critical software for power campuses, from simulation to energy management. You will own a core technical area, shape architectural decisions, and mentor engineers while coordinating with leadership and domain experts.

The role is based at the San Francisco engineering office, requiring production-level coding, debugging, and result validation to enable scalable, GW-scale energy infrastructure.

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