Senior Engineering Leader: Developer SDKs Embedded Markets

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We are hiring a senior engineering leader to define, build, and scale a portfolio of world‑class SDKs that enable developers to create next‑generation applications across video analytics, real‑time sensor processing dataflow and runtime, distributed compute/communication middleware, delivering a best‑in‑class developer experience and accelerated time‑to‑market.

This leader will own the SDK strategy end‑to‑end: architecture, roadmap, engineering execution, packaging/distribution, tooling, documentation, sample apps, performance entitlement on AMD CPUs/GPUs/NPUs, and ecosystem enablement. The role requires deep hands‑on expertise in heterogeneous sensor pipelines, time synchronization, mixed‑criticality real‑time constraints, and distributed systems, while also scaling and leading global engineering teams and partnering across silicon, system software, product, and field.

• Define the end‑to‑end SDK architecture for several key functionalities but not limited to:
  • Video analytics pipelines (decode/encode, pre/post-processing, inference, tracking, streaming, metadata).
  • High‑speed graph runtime for heterogeneous sensor dataflow and orchestration (CPU/GPU/NPU scheduling, memory movement, zero‑copy).
  • Real‑time communication and sensor data passing, including distributed compute patterns (pub/sub, RPC, shared memory, DDS‑class concepts).
  • Multimedia framework integration (GStreamer‑class pipelines, plug‑in models, caps negotiation, timestamps, jitter buffering).
  • Vision pipelines and integration with OpenCV‑class ecosystems; accelerate critical primitives while maintaining developer portability.
  • ROS2‑adjacent integration (or ROS2‑like SDK abstractions) to support distributed autonomy stacks and multi‑node execution.
• Own the system design for heterogeneous sensor ingestion (cameras, radar, lidar, IMU, audio, encoders, industrial sensors), including:
  • Time synchronization (PTP/IEEE‑1588 concepts, timestamp domains, clock drift, latency accounting).
  • Deterministic pipeline behavior under load (bounded latency, scheduling, back pressure, QoS).

• Ensure the SDKs support mixed‑criticality systems: best‑effort analytics + hard real‑time control paths coexisting safely.
• Build the runtime with attention to:
  • Real‑time determinism (priority inversion, CPU affinity, lock contention, bounded queueing).
  • Isolation, safety patterns, and fault containment (watchdogs, health monitors, graceful degradation, recovery).
  • Memory + bandwidth efficiency across CPU/GPU and DMA/zero‑copy paths.

• Deliver SDKs that feel “effortless” to adopt:
  • Simple APIs, consistent abstractions, strong defaults.
  • Excellent documentation, tutorials, reference apps, and performance playbooks.
  • Strong tooling
    : profiling, tracing, pipeline visualization, graph debugging, log/metric correlation, replay tools.
• Establish a packaging and distribution strategy:
  • Versioning/compatibility policy, semantic versioning, long‑term support (LTS).
  • Container images, Debian/RPM/conda/pip (where relevant), cross‑compile tool chains, reproducible builds.
  • Multi‑OS support where market requires (Linux‑first, others based on business priorities).

• Own and drive the SDK roadmap, feature prioritization, and release trains.
• Lead schedule/resource planning,…