CareerPlan

FPGA Engineer: Physical AI & Robotics

San Jose, CaliforniaFull-time2026-07-17 → 2026-10-22
No visa sponsorship

Core

Design and develop FPGA and Adaptive SoC solutions for Physical AI applications including robotics, industrial automation, autonomous systems, and intelligent edge devices.

Role type

Senior IC FPGA/Adaptive SoC Applications Design Engineer

Builds

Reference architectures, demonstration platforms, and proof-of-concept designs for Physical AI

Domain

Hardware, embedded software, and AI acceleration for robotics and edge AI

Deliverable

product features

Required skills

FPGA development (Verilog, SystemVerilog, VHDL), Embedded software (C/C++, Embedded Linux, Yocto, RTOS), Hardware/software co-design, Sensor integration (cameras, LiDAR, radar, IMUs), High-speed interface integration (PCIe, Ethernet, USB, MIPI, CAN), System bring-up and debugging, Performance optimization

Preferred skills

Control systems and motor control, DSP algorithm implementation, AI inference acceleration, CI/CD workflows, Git

Technologies

AMD Vivado, Vitis, Vitis HLS, AI Engine, Yocto, PCIe, Ethernet, DisplayPort, MIPI CSI/DSI, USB, CAN, Git

Responsibilities

Design FPGA/Adaptive SoC solutions for Physical AI, Create reference architectures and PoC designs, Develop FPGA RTL/AI Engine/HLS/embedded software, Integrate high-speed interfaces and sensor pipelines, Collaborate with architecture/silicon/software teams, Support board bring-up and silicon validation, Work with customers to accelerate deployment, Investigate hardware/software issues

Seniority

Experienced, hands-on IC