Technical Lead, Runtime Software/Hardware (Spatial AI Accelerator)

Persimmons Ai Technical Lead

Persimmons is building the infrastructure that will power the next decade of AI. Founded in 2023 by veteran technologists from the worlds of semiconductors, AI systems, and software innovation, we're on a mission to enable smarter devices, more sustainable data centers, and entirely new applications the world hasn't imagined yet.

We're growing fast and looking for bold thinkers, builders, and curious problem-solvers who want to push the limits of AI hardware and software. If you're ready to join a world-class team and play a critical role in making a global impact - we want to talk to you.

Persimmons.ai seeks a multidisciplinary Technical Lead for runtime software/hardware and compiler integration, focused on our next-generation custom spatial AI accelerator. You will architect and guide the runtime system bridging compiler, host, driver, device firmware, and control hardware: enabling high-performance, robust, and scalable execution of modern AI workloads.

This is a hands-on and technical leadership role spanning system design, cross-stack engineering, technical mentorship, and collaboration with compiler, ML framework, and hardware teams.

What you'll do:

• Architect, design, and implement the runtime stack for Persimmons' custom spatial accelerator, covering host drivers, device runtime, and hardware/firmware control loops.
• Lead technical direction and decisions for runtime–hardware interface, device work and command queue infrastructure, and memory management.
• Coordinate with compiler/backend, ML systems, and hardware architects to ensure seamless end-to-end ML model execution.
• Define and co-design hardware support features essential to runtime: queueing structures, synchronization primitives, interrupt/event signaling, dispatching and orchestrating ML workloads on spatial execution fabric.
• Drive performance analysis, development tools for tracing, bottleneck identification, and runtime-level optimizations for latency, throughput, and hardware utilization.
• Build and mentor a cross-disciplinary engineering team focused on runtime and system validation—establishing best practices, technical standards, and robust software-hardware collaboration.
• Champion efficient tooling, simulation/emulation environments, and test infrastructure for system validation and robust runtime dev/debug.