Senior Engineering Leader: Developer SDKs for Embedded Markets

We are hiring a senior engineering leader to define, build, and scale a portfolio of worldclass SDKs that enable developers to create nextgeneration applications across video analytics, realtime 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 endtoend: architecture, roadmap, engineering execution, packaging/distribution, tooling, documentation, sample apps, performance entitlement on AMD CPUs/GPUs/NPUs, and ecosystem enablement. The role requires deep handson expertise in heterogeneous sensor pipelines, time synchronization, mixedcriticality realtime constraints, and distributed systems, while also scaling and leading global engineering teams and partnering across silicon, system software, product, and field., 1) SDK Architecture & Technical Leadership

• Define the endtoend SDK architecture for several key functionalities but not limited to:

• Video analytics pipelines (decode/encode, pre/post-processing, inference, tracking, streaming, metadata).

• Highspeed graph runtime for heterogeneous sensor dataflow and orchestration (CPU/GPU/NPU scheduling, memory movement, zerocopy).

• Realtime communication and sensor data passing, including distributed compute patterns (pub/sub, RPC, shared memory, DDSclass concepts).

• Multimedia framework integration (GStreamerclass pipelines, plugin models, caps negotiation, timestamps, jitter buffering).

• Vision pipelines and integration with OpenCVclass ecosystems; accelerate critical primitives while maintaining developer portability.

• ROS2adjacent integration (or ROS2like SDK abstractions) to support distributed autonomy stacks and multinode execution.

• Own the system design for heterogeneous sensor ingestion (cameras, radar, lidar, IMU, audio, encoders, industrial sensors), including:

• Time synchronization (PTP/IEEE1588 concepts, timestamp domains, clock drift, latency accounting).

• Deterministic pipeline behavior under load (bounded latency, scheduling, backpressure, QoS).

2. Performance, RealTime, Safety, and MixedCriticality

• Ensure the SDKs support mixedcriticality systems: besteffort analytics + hard realtime control paths coexisting safely.

• Build the runtime with attention to:

• Realtime 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/zerocopy paths.

3. Developer Experience (DX) Excellence

• 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, longterm support (LTS).
• Container images, Debian/RPM/conda/pip (where relevant), crosscompile toolchains, reproducible builds.
• MultiOS support where market requires (Linux-first, others based on business priorities).

4. Roadmap, Program Execution, and Operational Excellence

• Own and drive the SDK roadmap, feature prioritization, and release trains.
• Lead schedule/resource planning, balancing new features vs quality vs performance.
• Create and enforce quality gates: CI/CD, unit/integration/perf tests, fuzzing (where appropriate), security scanning, ABI/API stability testing.

5. Ecosystem & Market Competitiveness

• Conduct competitive analysis and translate insights into differentiation.
• Partner with ISVs, OEMs, robotics/autonomy stack providers, and framework communities to ensure adoption.
• Work closely with product management and field teams to gather requirements and ensure readiness (samples, solution blueprints, deployment guides).

6. Build and Scale a HighPerforming Global Team

• Hire, mentor, and scale engineering teams across runtime, multimedia, DX/tooling, and integration.
• Set technical bar, architecture review culture, and ownership model (clear module boundaries, design docs, decision logs).
• Establish an operating rhythm: quarterly planning, roadmap reviews, release health dashboards, and customer/partner feedback loops., AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.

• Experience building cohesive developer SDKs; Experience leading engineering organizations with global teams.

• Proven track record delivering productiongrade developer SDKs: APIs, samples, docs, packaging, release management.

• Deep technical expertise in the following:

• Video analytics pipelines (decode/encode, streaming, metadata, inference orchestration).

• Multimedia frameworks (GStreamerclass architecture, plugins, buffer management, timestamps).

• Graph runtimes / dataflow execution engines (scheduling, backpressure, zerocopy, memory pools).

• Distributed systems & communication middleware (DDSlike pub/sub concepts, QoS, reliability).

• Realtime systems (determinism, bounded latency, RT scheduling, mixedcriticality patterns).

• Computer vision and pipeline integration (OpenCV ecosystem; performancecritical primitives).

• Heterogeneous compute optimization across CPU/GPU/NPU (kernel scheduling, memory movement, batching).

Experience building developer SDKs for embedded/edge markets: robotics, industrial, automotive, medical (one or more), * Experience with ROS2 ecosystems and autonomy stack integration (perception fusion planning actuation).

• Expertise in time synchronization and multi-sensor fusion plumbing (timestamp propagation, replay, latency budgeting).
• Background in safety and certification adjacent practices (process maturity, traceability, safety case thinking).
• Track record creating developer tooling (profilers, trace analyzers, graph visualizers, pipeline debuggers).
• Experience collaborating tightly with silicon/hardware teams to drive platform entitlement.

Leadership Attributes We Value

• Architectural clarity + pragmatism: can define clean abstractions without overengineering.
• Developer empathy: thinks like a user, sweats the "last mile" (docs, examples, install friction, error messages).
• Performance literacy: can reason about latency budgets, bandwidth, queueing, scheduling, and bottlenecks.
• Execution excellence: predictable shipping, strong prioritization, and measurable outcomes.
• Influence at scale aligns product, silicon, systems, and ecosystem partners with a coherent story.
• More with less Maximizing engineering efficiency through commonality of work, extensive AI usage, scaling and ecosystem partners.

ACADEMIC CREDENTIALS:

• BS, MS or equivalent with direct experience

$275,200.00/Yr.-$412,800.00/Yr.

At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.