Principal Software Engineer, Power Applications (AI)

Location: Remote from anywhere in the United States; travel up to 10% is expected for company retreats and key on-site engagements.

Salary: $180,000–$220,000 annual base compensation, depending on experience and level, plus stock options.

Company

hirify.global is an NVIDIA-backed AI company developing systems that dynamically orchestrate power for AI data centers and electric-grid infrastructure.

What you will do

• Own the end-to-end lifecycle of power control and orchestration applications, from algorithm development through deployment and production maintenance.
• Contribute to the Power Applications codebase and establish engineering workflows, code quality standards, and review practices.
• Coordinate data scientists and software engineers as the senior technical contributor across architecture, design, and code review.
• Design continuous delivery workflows that translate prototype code, such as Python, into deployed applications written in systems languages such as Rust.
• Define system boundaries, data contracts, and power application SLAs while serving as the technical interface with product, engineering, and data science teams.
• Build reliable, scalable applications that operate continuously across experimentation, staging, and production environments.

Requirements

• 10+ years of software engineering experience and a record of technical leadership on complex production systems.
• Experience leading architecture, code review, mentorship, technical planning, project management, and cross-team coordination.
• Strong knowledge of distributed systems and reliability engineering, including fault tolerance, graceful degradation, observability, and testing for systems that cannot go down.
• Experience taking evolving software from prototype to hardened production.
• Proficiency in Python and at least one systems language: C++, Rust, or Go.
• Must be able to work remotely from the United States and be willing to travel up to 10% of the time.

Nice to have

• Experience with real-time, low-latency, or control systems.
• Experience with edge or embedded computing, especially NVIDIA platforms such as Jetson-class devices, CUDA, or NVML.
• Background in power systems, energy, industrial control, robotics, or another physical-world real-time domain.
• Experience productionizing ML models or algorithms with data science teams.

Culture & Benefits

• Flexible work environment with flexible paid time off.
• Health, dental, and vision benefits.
• Employer-match 401k.
• Mentorship and growth opportunities in a collaborative, inclusive workplace.
• Stock options and competitive compensation.