Senior Engineering Leader, Developer SDKs for Embedded Markets

Amd

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Jose, CASanta Clara, CAAustin, TX
Salary
$275,200–$412,800 / yr
Posted
56 days ago
Freshness
Confirmed live yesterday
Closes
Jul 17, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $198k
This role $344k
$112k most similar roles pay here $445k

This role pays more than 97% of similar roles. Most pay $162,650–$232,887 — the shaded band above. At the midpoint, this role pays about $344k versus about $198k for comparable roles.

Based on 240 similar postings.

Employer

About Amd

AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors

Amd currently has 367 open roles on FindRole.

Listed pay typically runs $166,400–$249,600 across 367 roles with salary data.

Most-posted roles

View all roles at Amd

At a glance

TL;DR · Senior Engineering Leader, Developer SDKs for Embedded Markets

Sr. Engineering Leader: Developer SDKs for Embedded Markets serves as a technical leader responsible for defining, building, and scaling a portfolio of world-class SDKs to enable developers in the embedded markets. This role involves owning the end-to-end SDK strategy, including architecture, roadmap, engineering execution, packaging, documentation, and developer experience. The individual will manage global teams to develop tools for video analytics pipelines, high-speed graph runtimes, and distributed communication middleware. Key technical requirements include expertise in heterogeneous sensor dataflow, time synchronization, mixed-criticality real-time constraints, and multimedia frameworks like GStreamer. The role addresses complex problems in robotics, industrial, automotive, and medical sectors by providing robust software for vision pipelines, ROS2-adjacent integrations, and multi-sensor fusion. Core competencies include proficiency in CPU/GPU/NPU optimization, memory management, and creating developer tools such as profilers and trace analyzers to ensure seamless integration across diverse hardware platforms.

What you'll do

  • Define and oversee the end-to-end architecture for video analytics, real-time sensor processing, and distributed compute middleware.
  • Design high-speed graph runtimes for heterogeneous dataflow involving CPU, GPU, and NPU scheduling.
  • Ensure system reliability by managing mixed-criticality requirements, real-time determinism, and fault containment.
  • Deliver a superior developer experience through simplified APIs, comprehensive documentation, and robust profiling tools.
  • Establish packaging, distribution strategies, and quality gates including CI/CD and performance testing.
  • Drive the product roadmap, feature prioritization, and resource planning for global engineering teams.
  • Foster ecosystem growth by partnering with ISVs, OEMs, and robotics providers to ensure adoption.
  • Hire, mentor, and scale a high-performing global engineering team across multiple technical domains.

What we're looking for

  • Bachelor's or Master's degree in Computer Science or equivalent with direct experience.
  • Experience building and scaling global engineering teams across runtime, multimedia, and developer tools.
  • Proven track record of delivering production-grade developer SDKs including APIs, samples, documentation, and packaging.
  • Deep expertise in video analytics pipelines, multimedia frameworks (GStreamer-class), and graph runtimes for heterogeneous compute.
  • Expertise in distributed systems, communication middleware (DDS-like concepts), and real-time system determinism.
  • Experience with computer vision integration, multi-sensor fusion, and time synchronization (PTP/IEEE-1588).
  • Experience building developer SDKs for embedded or edge markets such as robotics, industrial, automotive, or medical.
  • Familiarity with ROS2 ecosystems, autonomy stacks, and safety-critical certification practices.

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