Principal Software Engineer, Power Applications

Karman is an AI company developing power orchestration solutions for AI data centers and complex energy infrastructure. The Principal Software Engineer, Power Applications will lead the end-to-end development, deployment, and maintenance of power control applications while coordinating data scientists and software engineers, establishing scalable workflows, and driving system reliability and cross-functional delivery.

Responsibilities:

• Enable the Power Applications team to own the end-to-end lifecycle of Utilidata's power control and orchestration applications, from algorithm development, through translation into deployable software, to deployment and ongoing maintenance in production
• Directly contribute to the Power Applications codebase and work with the team to define and own code quality standards and engineering workflows
• Serve as the senior individual contributor coordinating data scientists and software engineers, aligning the group on design and quality through architecture and code review
• Design continuous delivery workflows that bridge algorithm development and production, including the path from prototype code (e.g., Python) to the deployed application's language (e.g., Rust), so work moves to production smoothly and repeatably
• Act as the technical interface between Power Applications and other teams on the stack, establishing clear system boundaries, data contracts, and power application SLAs
• Contribute to system architecture discussions for the Karman platform as a whole, ensuring the subsystems that support power-flow control fit coherently into that wider architecture
• Build for reliability and scale so power applications run continuously across experimentation, staging, and deployed environments

Requirements:

• 10+ years of software engineering experience, including a track record of technical leadership on complex production systems
• Demonstrated ability to lead engineers through architecture, code review, and mentorship, and to raise the technical bar of a team
• Excellent written and verbal communication skills, with substantial experience working directly with stakeholders across teams
• Strong project management and technical planning skills — sequencing work, managing cross-team dependencies, translating product requirements into technical designs
• Strong foundation in distributed systems and reliability engineering: fault tolerance, graceful degradation, observability, and testing for systems that cannot go down
• Experience taking software from prototype to hardened production, ideally where the platform and requirements were still evolving
• Proficiency in Python and at least one systems language (C++, Rust, or Go)
• Willingness to travel up to 10% of time
• This position can be performed remotely from anywhere in the United States
• Hands-on experience with real-time, low-latency, or control systems : software that must respond within strict time bounds and behave predictably under load
• Experience with edge or embedded computing, especially on NVIDIA platforms (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 in collaboration with data science teams