{"id":2911999,"url":"https://alion.io/job/amd-sr-engineering-leader-developer-sdks-for-embedded-markets","title":"Sr. Engineering Leader: Developer SDKs for Embedded Markets","company":{"id":93,"name":"AMD","domain":"amd.com","url":"https://alion.io/company/amd","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jibe","truth_index":{"grade":"B","score":75,"open_postings":162,"ghost_share":0,"stale_share":0.994,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Hardware","role_family":"Hardware","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":166000,"max_usd":315000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":609},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Debian","optional":false},{"name":"GStreamer","optional":false},{"name":"Linux","optional":false},{"name":"OpenCV","optional":false},{"name":"ROS2","optional":false},{"name":"Computer Vision","optional":true},{"name":"Sensor Fusion","optional":true}],"status":"live","first_seen_at":"2026-07-17T19:07:00Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-26T00:51:27Z","board_verified":true,"closed_at":null,"days_open":100,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":99},"description":"WHAT YOU DO AT AMD CHANGES EVERYTHING\nAt AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gamingand embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuityand a shared passion to create something extraordinary. When you join AMD, you’lldiscover 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.\nTHE ROLE\nWe 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.\nTHE PERSON\nThis 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.\nKEY RESPONSIBILITIES:\n1) SDK Architecture & Technical Leadership \nDefine the end-to-end SDK architecture for several key functionalities but not limited to: \nVideo analytics pipelines (decode/encode, pre/post-processing, inference, tracking, streaming, metadata).\nHigh-speed graph runtime for heterogeneous sensor dataflow and orchestration (CPU/GPU/NPU scheduling, memory movement, zero-copy).\nReal-time communication and sensor data passing, including distributed compute patterns (pub/sub, RPC, shared memory, DDS-class concepts).\nMultimedia framework integration (GStreamer-class pipelines, plug-in models, caps negotiation, timestamps, jitter buffering).\nVision pipelines and integration with OpenCV-class ecosystems; accelerate critical primitives while maintaining developer portability.\nROS2-adjacent integration (or ROS2-like SDK abstractions) to support distributed autonomy stacks and multi-node execution.\nOwn the system design for heterogeneous sensor ingestion (cameras, radar, lidar, IMU, audio, encoders, industrial sensors), including: \nTime synchronization (PTP/IEEE-1588 concepts, timestamp domains, clock drift, latency accounting).\nDeterministic pipeline behavior under load (bounded latency, scheduling, backpressure, QoS).\n2) Performance, Real-Time, Safety, and Mixed-Criticality\nEnsure the SDKs support mixed-criticality systems: best-effort analytics + hard real-time control paths coexisting safely.\nBuild the runtime with attention to: \nReal-time determinism (priority inversion, CPU affinity, lock contention, bounded queueing).\nIsolation, safety patterns, and fault containment (watchdogs, health monitors, graceful degradation, recovery).\nMemory + bandwidth efficiency across CPU/GPU and DMA/zero-copy paths.\n3) Developer Experience (DX) Excellence\nDeliver SDKs that feel “effortless” to adopt: \nSimple APIs, consistent abstractions, strong defaults.\nExcellent documentation, tutorials, reference apps, and performance playbooks.\nStrong tooling: profiling, tracing, pipeline visualization, graph debugging, log/metric correlation, replay tools.\nEstablish a packaging and distribution strategy: \nVersioning/compatibility policy, semantic versioning, long-term support (LTS).\nContainer images, Debian/RPM/conda/pip (where relevant), cross-compile toolchains, reproducible builds.\nMulti-OS support where market requires (Linux-first, others based on business priorities).\n4) Roadmap, Program Execution, and Operational Excellence\nOwn and drive the SDK roadmap, feature prioritization, and release trains.\nLead schedule/resource planning, balancing new features vs quality vs performance.\nCreate and enforce quality gates: CI/CD, unit/integration/perf tests, fuzzing (where appropriate), security scanning, ABI/API stability testing.\n5) Ecosystem & Market Competitiveness\nConduct competitive analysis and translate insights into differentiation.\nPartner with ISVs, OEMs, robotics/autonomy stack providers, and framework communities to ensure adoption.\nWork closely with product management and field teams to gather requirements and ensure readiness (samples, solution blueprints, deployment guides).\n6) Build and Scale a High-Performing Global Team\nHire, mentor, and scale engineering teams across runtime, multimedia, DX/tooling, and integration.\nSet technical bar, architecture review culture, and ownership model (clear module boundaries, design docs, decision logs).\nEstablish an operating rhythm: quarterly planning, roadmap reviews, release health dashboards, and customer/partner feedback loops.\nPREFERRED EXPERIENCE:\nExperience building cohesive developer SDKs; Experience leading engineering organizations with global teams.\nProven track record delivering production-grade developer SDKs: APIs, samples, docs, packaging, release management.\nDeep technical expertise in the following: \nVideo analytics pipelines (decode/encode, streaming, metadata, inference orchestration).\nMultimedia frameworks (GStreamer-class architecture, plugins, buffer management, timestamps).\nGraph runtimes / dataflow execution engines (scheduling, backpressure, zero-copy, memory pools).\nDistributed systems & communication middleware (DDS-like pub/sub concepts, QoS, reliability).\nReal-time systems (determinism, bounded latency, RT scheduling, mixed-criticality patterns).\nComputer vision and pipeline integration (OpenCV ecosystem; performance-critical primitives).\nHeterogeneous compute optimization across CPU/GPU/NPU (kernel scheduling, memory movement, batching).\nExperience building developer SDKs for embedded/edge markets: robotics, industrial, automotive, medical (one or more)\nDifferentiating Qualifications: \nExperience with ROS2 ecosystems and autonomy stack integration (perception → fusion → planning → actuation).\nExpertise in time synchronization and multi-sensor fusion plumbing (timestamp propagation, replay, latency budgeting).\nBackground in safety and certification adjacent practices (process maturity, traceability, safety case thinking).\nTrack record creating developer tooling (profilers, trace analyzers, graph visualizers, pipeline debuggers).\nExperience collaborating tightly with silicon/hardware teams to drive platform entitlement.\nLeadership Attributes We Value\nArchitectural clarity + pragmatism: can define clean abstractions without over-engineering.\nDeveloper empathy: thinks like a user, sweats the “last mile” (docs, examples, install friction, error messages).\nPerformance literacy: can reason about latency budgets, bandwidth, queueing, scheduling, and bottlenecks.\nExecution excellence: predictable shipping, strong prioritization, and measurable outcomes.\nInfluence at scale aligns product, silicon, systems, and ecosystem partners with a coherent story.\nMore with less Maximizing engineering efficiency through commonality of work, extensive AI usage, scaling and ecosystem partners.\nACADEMIC CREDENTIALS:\nBS, MS in Computer Science or equivalent with direct experience\nPREFERRED LOCATION:\nSan Jose / Santa Clara, CA or Austin, TX\nThis role is not eligible for visa sponsorship.\nBenefits offered are described: AMD benefits at a glance.\nAMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.\nAMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.\n\nThis posting is for an existing vacancy.\nTHE ROLE\nWe 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.\nTHE PERSON\nThis 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.\nKEY RESPONSIBILITIES:\n1) SDK Architecture & Technical Leadership \nDefine the end-to-end SDK architecture for several key functionalities but not limited to: \nVideo analytics pipelines (decode/encode, pre/post-processing, inference, tracking, streaming, metadata).\nHigh-speed graph runtime for heterogeneous sensor dataflow and orchestration (CPU/GPU/NPU scheduling, memory movement, zero-copy).\nReal-time communication and sensor data passing, including distributed compute patterns (pub/sub, RPC, shared memory, DDS-class concepts).\nMultimedia framework integration (GStreamer-class pipelines, plug-in models, caps negotiation, timestamps, jitter buffering).\nVision pipelines and integration with OpenCV-class ecosystems; accelerate critical primitives while maintaining developer portability.\nROS2-adjacent integration (or ROS2-like SDK abstractions) to support distributed autonomy stacks and multi-node execution.\nOwn the system design for heterogeneous sensor ingestion (cameras, radar, lidar, IMU, audio, encoders, industrial sensors), including: \nTime synchronization (PTP/IEEE-1588 concepts, timestamp domains, clock drift, latency accounting).\nDeterministic pipeline behavior under load (bounded latency, scheduling, backpressure, QoS).\n2) Performance, Real-Time, Safety, and Mixed-Criticality\nEnsure the SDKs support mixed-criticality systems: best-effort analytics + hard real-time control paths coexisting safely.\nBuild the runtime with attention to: \nReal-time determinism (priority inversion, CPU affinity, lock contention, bounded queueing).\nIsolation, safety patterns, and fault containment (watchdogs, health monitors, graceful degradation, recovery).\nMemory + bandwidth efficiency across CPU/GPU and DMA/zero-copy paths.\n3) Developer Experience (DX) Excellence\nDeliver SDKs that feel “effortless” to adopt: \nSimple APIs, consistent abstractions, strong defaults.\nExcellent documentation, tutorials, reference apps, and performance playbooks.\nStrong tooling: profiling, tracing, pipeline visualization, graph debugging, log/metric correlation, replay tools.\nEstablish a packaging and distribution strategy: \nVersioning/compatibility policy, semantic versioning, long-term support (LTS).\nContainer images, Debian/RPM/conda/pip (where relevant), cross-compile toolchains, reproducible builds.\nMulti-OS support where market requires (Linux-first, others based on business priorities).\n4) Roadmap, Program Execution, and Operational Excellence\nOwn and drive 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