AMD

1 week ago

FPGA Engineer: Physical AI & Robotics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Design and develop FPGA and Adaptive SoC solutions for Physical AI platforms, enabling intelligent robotics, industrial automation, autonomous machines, smart vision systems, and edge AI. Create reference architectures and proof-of-concept designs using AMD Adaptive SoCs and Ryzen AI Embedded technologies. Build FPGA RTL/AI Engine/HLS plus embedded software components, integrate high-speed interfaces and sensor pipelines, and support board bring-up, validation, debugging, and performance optimization in customer-facing deployments.

Location: San Jose, Austin

Workplace: Hybrid

Employment Type: Full time

Job Function: Hardware, Embedded & Systems Engineering

Key Responsibilities

•Design and develop FPGA and Adaptive SoC solutions for Physical AI applications such as 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.
•Integrate high-speed interfaces and build sensor processing pipelines using cameras, radar, LiDAR, IMUs, and other edge sensing technologies.
•Support board bring-up, silicon validation, hardware debugging, system performance optimization, and investigate complex hardware/software issues.

Pay and Benefits

Salary: USD 178,500 - 306,000 annually

Key Requirements

•Develop FPGA designs using Verilog, SystemVerilog, or VHDL.
•Build FPGA/AI acceleration solutions using AMD Vivado, Vitis, and Vitis HLS (or comparable environments).
•Apply strong embedded software development skills using C/C++.
•Work with Embedded Linux and Yocto, RTOS, or bare-metal development.
•Integrate hardware accelerators with embedded processors and accelerate AI inference for robotics and computer vision use cases.

Experience:FPGAAIRoboticsEdge AIComputer visionEmbedded computingSensor fusion

Education:Bachelor's in Electrical Engineering, Computer Engineering, Computer Science, Robotics Engineering, or a related technical discipline

Skills:Analytical skillsDebugging skillsProblem-solving skillsCommunication skills

Languages:English

Tech Stack:FPGAAdaptive SoCRyzen AI EmbeddedVerilogSystemVerilogVHDLAMD VivadoAMD VitisVitis HLSAI EngineYoctoEmbedded LinuxRTOSBare-metalCC++PCIeEthernetDisplayPortMIPI CSI

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

AMD

Designs and produces semiconductor products including CPUs, GPUs, and adaptive SoCs for consumer, enterprise, and embedded markets, competing across PCs, data centers, and gaming industries.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1969

Glassdoor: 3.9

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

AMD