System Architect, Industrial Robotics and Healthcare

Amd

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Austin, TXSan Jose, CABoxborough, MA
Salary
$133,200–$199,800 / yr
Posted
6 days ago
Freshness
Confirmed live 2 days ago
Closes
Oct 27, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $213k
This role $166k
$119k $269k
below market most similar roles pay here above market

This role pays less than 77% of similar roles. Most pay $171,170–$254,225 — the blue band above. At the midpoint, this role pays about $166k versus about $213k 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 506 open roles on FindRole.

Listed pay typically runs $172,000–$258,000 across 506 roles with salary data.

Most-posted roles

View all roles at Amd

At a glance

TL;DR · System Architect, Industrial Robotics and Healthcare

The System Architect – Industrial Robotics and Healthcare will join the Industrial, Robotics, and Healthcare business unit to own system architecture from initial concept through implementation. This role involves defining scalable architectures for AI-enabled embedded, robotics, industrial, and healthcare applications. Key responsibilities include partitioning workloads across CPU, GPU, NPU, FPGA, and AI Engines, and architecting AI inference pipelines for vision and sensor processing. The candidate must evaluate trade-offs regarding latency, throughput, power, and functional safety. Required technical skills include experience with ARM and x86 processors, C/C++, Python, Yocto, and real-time control systems. Proficiency with interfaces like EtherCAT, CAN-FD, and PCIe is essential. The role solves complex problems in heterogeneous compute, edge intelligence, and safety-critical systems using measurable engineering criteria and data-flow diagrams.

What you'll do

  • Define end-to-end system architectures for AI-enabled embedded, robotics, industrial, and healthcare applications.
  • Partition workloads across CPUs, GPUs, NPUs, FPGA logic, AI Engines, and external accelerators.
  • Architect AI inference pipelines for vision, sensor processing, and edge intelligence applications.
  • Evaluate architectural trade-offs regarding latency, throughput, power, thermal constraints, and functional safety.
  • Develop system specifications, data-flow diagrams, interface definitions, and timing budgets.
  • Translate architecture concepts into executable designs with FPGA, software, firmware, and AI engineering teams.
  • Identify system-level architectural risks early and recommend practical mitigation strategies.
  • Provide technical architecture guidance to customers during onsite meetings and technical discussions.

What we're looking for

  • Proven experience owning system architecture from initial concept through implementation.
  • Strong technical judgment across AI workloads, heterogeneous compute, FPGA, adaptive SoC, ARM, x86, and embedded software.
  • Ability to define end-to-end system architectures for AI-enabled embedded, robotics, industrial, and healthcare applications.
  • Experience with embedded systems development using C/C++, Python, embedded Linux, device drivers, Yocto, or Buildroot (preferred).
  • Knowledge of industrial and embedded interfaces such as EtherCAT, CAN-FD, SPI, I2C, Ethernet, PCIe, MIPI, and USB (preferred).
  • Understanding of system safety and reliability concepts including IEC 61508, ISO 26262, ISO 13849, and IEC 62304 (preferred).
  • Experience with robotics and real-time control systems, including motor control and sensor acquisition (preferred).
  • Master’s degree or PhD in Electrical/Electronic Engineering, Computer Engineering, Computer Science, Robotics, or a related technical discipline (preferred).

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