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Director Of Software

QuadricBurlingame, CA

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Job Description

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.

What We Value:

Integrity, Humility, Happiness

What We Expect:

Initiative, Collaboration, Completion

Role:

Reporting directly to the VP, Engineering, you will own the entire software team and will be responsible for execution on Quadric's Chimera SDK (https://quadric.io/sdk/ ). Join us in our shared vision of shipping world class model optimization and compilers for AI inference where it matters most-on the factory floor, in the vehicle, across consumer devices and enterprise.

Responsibilities

  • Own end-to-end delivery of the software stack: SDK, graph compiler, kernel libraries, and developer tooling.
  • Set technical direction and a multi-release roadmap for compiler, kernels, and SDK; align with silicon, architecture.
  • Own the inference optimization stack (Quantization -> Compile -> Accelerated Performance) on Chimera architecture for Vision Models, LLMs, VLMs etc.
  • Build and track execution plans, milestones, and KPIs (operator coverage, latency/throughput, accuracy deltas, compile times).
  • Manage and mentor an engineering org (managers + ICs), grow the team, and develop leaders.
  • Be hands-on for critical designs, reviews, and code-especially around IR design, codegen and kernels.
  • Partner with customers and field teams to unblock POCs, prioritize the roadmap, and drive production wins.
  • Establish quality bars and release engineering (CI/CD, testing, benchmarking, reproducible builds, docs, and samples).

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