Advanced Micro Devices, Inc

Senior Engineering Leader: Developer SDKs for Embedded Markets

Advanced Micro Devices, Inc • $150K — $200K *
San Jose, CA 95123In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 5-7 years of experience in Software Development or SDK creation.
  • Proven ability to build production-grade SDKs, including APIs and documentation.
  • Deep technical expertise in video analytics and multimedia frameworks.
  • Experience with distributed systems and real-time processing.
  • Strong leadership skills with a track record of hiring and mentoring global teams.

Responsibilities

  • Define and own the end-to-end SDK architecture and roadmap.
  • Ensure excellent performance and real-time capabilities for SDKs.
  • Deliver a seamless developer experience with user-friendly APIs and extensive documentation.
  • Drive the SDK development process, prioritizing features and ensuring quality through testing.
  • Collaborate with ecosystem partners to enhance market competitiveness and adoption.

Benefits

  • Comprehensive health and wellness programs.
  • Flexible work arrangements and paid time off.
  • Professional development and learning opportunities.
  • Employee stock purchase plan and retirement savings options.
Full Job Description
THE ROLE

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.

THE PERSON

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.

KEY RESPONSIBILITIES:

1) SDK Architecture & Technical Leadership
  • 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, backpressure, QoS).

2) Performance, Real-Time, Safety, and Mixed-Criticality
  • 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.

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, long-term support (LTS).
    • Container images, Debian/RPM/conda/pip (where relevant), cross-compile toolchains, reproducible builds.
    • Multi-OS 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 High-Performing 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.

PREFERRED EXPERIENCE:
  • Experiencebuilding cohesive developer SDKs; Experience leading engineering organizations with global teams.
  • Proven track record deliveringproduction-grade 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 (GStreamer-class architecture, plugins, buffer management, timestamps).
    • Graph runtimes / dataflow execution engines (scheduling, backpressure, zero-copy, memory pools).
    • Distributed systems & communication middleware (DDS-like pub/sub concepts, QoS, reliability).
    • Real-time systems (determinism, bounded latency, RT scheduling, mixed-criticality patterns).
    • Computer vision and pipeline integration (OpenCV ecosystem; performance-critical 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)


Differentiating Qualifications:
  • 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 over-engineering.
  • 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


PREFERRED LOCATION:
  • San Jose / Santa Clara, CA or Austin, TX


This role is not eligible for visa sponsorship.

Benefits offered are described: AMD benefits at a glance.

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Learn more about Advanced Micro Devices, Inc
Size
15,500 employees
Market Cap
$100.9 billion
Industry
Manufacturing & Automotive
Net Income
$2.4 billion
Founded
1969
5 Year Trend
+30.9%
Revenue
$9.7 billion
NASDAQ
AMD
* Ladders Estimates

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