27 days ago
Remote, WorldwideStaff+
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.
