System Architect - Industrial Robotics and Healthcare

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believetechnology has the power to solve the world's most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMDis shapingthefuture.

Whetheryou'redesigning next-gen processors, enabling AI breakthroughs, orbringing leading edge products to market, every role at AMD contributes to something bigger- technologythat moves the world forward.Join us and, together, we'll advance your career.

The ideal candidate is technically rigorous, implementation-focused, and comfortable working across AI, hardware, software, and system boundaries. You are able to simplify complex systems without compromising engineering accuracy and can clearly communicate architectural decisions, trade-offs, and recommendations to engineering teams, customers, and senior stakeholders.You should be comfortable challenging technical assumptions, identifying architectural risks early, and using measurable engineering criteria to guide system-level decisions.

• Define end-to-end system architectures for AI-enabled embedded, robotics, industrial, and healthcare applications.
• Partition workloads across CPU, GPU, NPU, FPGA programmable logic, AI Engines, MCUs, and external accelerators.
• Architect AI inference pipelines for vision, sensor processing, robotics, and edge intelligence applications.
• Evaluate architectural trade-offs involving latency, throughput, determinism, memory bandwidth, power, thermal constraints, functional safety, cost, and scalability.
• Develop system architecture specifications, data-flow diagrams, interface definitions, timing budgets, memory and bandwidth requirements, and implementation guidance.
• Partner with FPGA, software, firmware, AI, and system engineering teams to translate architecture concepts into executable designs.
• Review technical proposals and challenge assumptions using engineering analysis and measurable data.
• Support customer-facing technical discussions by providing clear and credible system architecture guidance.
• Guide proof-of-concepts, benchmarks, reference designs, and technical demonstrators.
• Identify system-level architectural risks early and recommend practical mitigation strategies.
• Ability to travel approximately 25% to support onsite customer meetings and engagements.

• Demonstrated experience owning system architecture documents, specifications, and system-level technical requirements.
• Strong understanding of heterogeneous compute architectures incorporating CPUs, GPUs, NPUs, FPGAs, embedded processors, MCUs, and dedicated accelerators.
• Practical knowledge of FPGA and adaptive SoC architectures and modern programmable logic design methodologies.
• Experience with embedded systems development using C/C++, Python, embedded Linux, device drivers, Yocto, Buildroot, or comparable environments.
• Experience with robotics and real-time control systems, including motor control, torque control, impedance control, multi-rate control loops, sensor acquisition, and deterministic scheduling.
• Knowledge of industrial and embedded interfaces such as EtherCAT, CAN-FD, CANopen, SPI, IC, Ethernet, PCIe, MIPI, and USB.
• Understanding of system safety and reliability concepts, including watchdogs, safe states, diagnostics, fault detection, timeout handling, and applicable standards such as IEC 61508, ISO 26262, ISO 13849, and IEC 62304.
• Experience with AI and edge inference technologies.
• Familiarity with AI deployment frameworks and runtimes such as ONNX, PyTorch, TensorFlow, or comparable technologies.
• Knowledge and understanding of agentic AI concepts and architectures.
• Experience making hardware, software, and AI workload-partitioning decisions.
• Ability to define and analyze interface, timing, latency, bandwidth, and memory budgets.
• Experience conducting architecture trade-off analyses across multiple implementation options.
• Demonstrated ability to support engineering teams beyond the initial architecture and concept phases.
• Ability to explain architectural decisions using measurable technical criteria.

• Master's degree or PhD in Electrical/Electronic Engineering, Computer Engineering, Computer Science, Robotics, or a related technical discipline preferred.
• Equivalent professional experience may be considered for candidates who demonstrate strong hands-on system architecture expertise.

LOCATION: Austin, TX; San Jose, CA; Boxborough, MA; or another AMD office location within the United States.

The successful candidate should be comfortable working in a multicultural environment and collaborating with globally distributed engineering, business, and customer-facing teams.

#LI-CJ3

Benefits offered are described: AMD benefits at a glance.

AMD 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.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.

This posting is for an existing vacancy.