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FPGA Engineer: Physical AI & Robotics

AMD· Engineering
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Hybrid (San Jose, CA)$204k - $306kFull-timePosted 3mo ago

About the role

Role focusing on FPGA/Adaptive SoC design for Physical AI platforms, enabling robotics, automation, autonomous systems, and edge AI solutions using AMD technologies.

Responsibilities

  • Design and develop FPGA and Adaptive SoC solutions for Physical AI applications including robotics, industrial automation, autonomous systems, and intelligent edge devices.
  • Create reference architectures, demonstration platforms, and proof-of-concept designs showcasing AMD Adaptive SoC and Ryzen AI Embedded technologies.
  • Develop FPGA RTL, AI Engine, HLS, and embedded software components using AMD Vivado™, Vitis™, and Yocto development environments.
  • Integrate high-speed interfaces including PCIe®, Ethernet, DisplayPort™, MIPI CSI/DSI, USB, CAN, and industrial communications.
  • Develop sensor processing pipelines incorporating cameras, radar, LiDAR, IMUs, and other edge sensing technologies.
  • Collaborate with AMD architecture, silicon, software, and AI engineering teams to influence future product capabilities and improve customer experience.
  • Support board bring-up, silicon validation, hardware debugging, and system performance optimization on next-generation AMD platforms.
  • Work closely with strategic customers and ecosystem partners to accelerate deployment of innovative Physical AI solutions.
  • Investigate complex hardware and software issues, identify root causes, and deliver robust technical solutions.
  • Stay current with emerging trends in AI, robotics, machine vision, embedded computing, FPGA development, and heterogeneous computing architectures.

Qualifications

  • FPGA development using Verilog, SystemVerilog, or VHDL, including experience with AMD Vivado™, Vitis™, Vitis HLS™, AI Engine, or comparable FPGA development environments.
  • Embedded software development using C/C++, Embedded Linux, Yocto, RTOS, or bare-metal environments.
  • Hardware/software co-design, including integration of FPGA accelerators with embedded processors and system-level architectures.
  • Experience with control systems, motor control, DSP algorithm implementation, AI inference acceleration, or edge AI applications.
  • Experience developing solutions for robotics, industrial automation, autonomous systems, machine vision, or intelligent edge devices.
  • Experience integrating sensors and high-speed interfaces, including cameras, LiDAR, radar, PCIe, Ethernet, USB, MIPI, CAN, and related technologies.
  • Strong system integration, hardware bring-up, debugging, and performance optimization skills utilizing industry-standard hardware debugging tools.
  • Familiarity with Git, CI/CD workflows, and modern software development practices.
  • Strong analytical, problem-solving, communication, and customer-facing technical skills.

Skills

Required:FPGA DevelopmentEmbedded SoftwareHardware/Software Co-design
Nice to have:Sensor/Perception

Benefits

  • Benefits offered are described: AMD benefits at a glance.
Last updated Oct 15, 2026. Interested? Apply on the company site.
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