2 months ago
Remote, United StatesStaff+
Base Salary
$200k - $240k/yr
Responsibilities
- Own the end-to-end architecture of the Karman Digital Environment simulation platform.
- Architect deterministic systems spanning sub-millisecond control paths and system-level orchestration across heterogeneous time domains.
- Design time synchronization, signal routing, data-flow orchestration, deterministic replay, scenario execution, platform APIs, and data contracts.
- Define and optimize latency, jitter, throughput, fidelity, and other performance characteristics across the full stack.
- Serve as the technical authority for simulation and validation methodology across engineering, product, QA, hardware, firmware, and GTM teams.
- Build and lead an engineering team spanning real-time systems, simulation infrastructure, power systems modeling, and GPU calibration while remaining hands-on.
- Represent the simulation platform on a cross-functional council and maintain architectural direction.
Requirements
- Bachelor’s or advanced degree in Electrical Engineering, Computer Engineering, Computer Science, Robotics, Physics, or a related field.
- 10+ years of experience in systems architecture, simulation platforms, real-time or hardware-in-the-loop systems, embedded systems, or high-performance distributed platforms.
- Experience as a hands-on player-coach leading small, high-performing engineering teams.
- Proven experience designing and delivering simulation platforms or large-scale production test systems with data ingestion, telemetry, playback, platform APIs, and data contracts used by multiple teams.
- Deep expertise in scheduling, concurrency, memory access patterns, latency budgets, jitter measurement, and sub-millisecond determinism.
- Substantive fluency in AC power distribution, control-loop dynamics, and electrical protection systems, or comparable depth in an adjacent domain such as automotive powertrain, aerospace propulsion, grid simulation, or robotics dynamics.
- Experience leading or contributing to a novel modeling problem in the platform’s domain.
- Strong communication skills for translating complex system designs to technical and non-technical stakeholders.
- Willingness to travel up to 25% of the time.
- Preferred experience with GPU-based systems or other accelerators, including power and performance tradeoffs.
- Preferred experience in data center power infrastructure or hyperscaler energy-aware computing.
- Familiarity with AI inference serving systems such as vLLM, TensorRT-LLM, or Triton.
Benefits
- Remote work from within the United States, with preference for candidates near the Bay Area or Ann Arbor.
- Periodic travel to the company headquarters in Ann Arbor, Michigan is required.
- Flexible work environment with flexible paid time off.
- Health, dental, and vision benefits.
- Employer-match 401k.
- Stock options and competitive compensation.
- Mentorship and growth opportunities in a collaborative, inclusive workplace.
About Utilidata
Utilidata builds Karman, an AI and edge-computing platform that orchestrates power for AI data centers and provides real-time visibility and control on the electric distribution grid. It sells software and embedded modules (based on a custom NVIDIA Jetson Orin Nano) to data center operators and electric utilities. Founded in 2012 and privately held, the company is headquartered in Ann Arbor, Michigan, and has deployed Karman in smart meters and other grid devices.