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Physical AI Architect

San Jose, CA, US • Posted 1 day ago • Updated 1 hour ago

Full Time

On-site

Fitment

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Job Details

Skills

Real-time
RTU
Video
IT Strategy
Sensors
Collaboration
System On A Chip
Roadmaps
Electrical Engineering
Computer Engineering
Computer Science
Research
Systems Architecture
Embedded Systems
CPU
Digital Signal Processing
GPU
Machine Learning (ML)
Computer Vision
IT Management
Innovation
ROS
Machine Vision
FPGA
Publications
Patents
Artificial Intelligence
Robotics
Computer Architecture

Summary

About The Role
Our client's Embedded Architecture team, you will work across CPU, GPU, Real-Time Unit (RTU), Video, and Physical AI technologies, helping shape the future of heterogeneous computing platforms. You will join a core architecture group at the forefront of innovation, driving technology strategy and influencing next-generation silicon, software, and platform roadmaps. This role provides a unique opportunity to analyze and optimize complex AI, vision, perception, planning, and control workloads across heterogeneous compute engines including CPUs, DSPs, FPGA fabric, GPUs, and AI accelerators, while helping define the architecture of future intelligent systems and programmable computing platforms.

This role will help shape our client's Physical AI strategy and future programmable computing platforms!

Key Responsibilities

Define sensor-to-actuator Physical AI reference architectures.
Analyze and partition AI, vision, perception, planning, and control workloads across CPU, DSP, FPGA fabric, GPU, and AI accelerators.
Drive architecture tradeoffs involving performance, latency, power, memory bandwidth, and determinism.
Develop workload models, benchmarks, and performance projections for robotics and autonomous systems.
Collaborate with customers, ecosystem partners, and internal silicon teams to identify future platform requirements.
Influence next-generation SoC, FPGA, memory, interconnect, and accelerator roadmaps.

Qualifications

Minimum Qualifications:

PhD in Electrical Engineering, Computer Engineering, Computer Science, Robotics, or related field.
1+ years of experience and research interest in system architecture, embedded computing, AI acceleration, robotics, or heterogeneous computing.
1+ years understanding of CPU, DSP, FPGA, GPU, AI accelerator, memory, and interconnect architectures.
Experience with AI/ML, computer vision, robotics, or autonomous systems workloads.
Proven track record of technical leadership, innovation, and architecture definition.

Preferred Qualifications

Experience with ROS2, edge AI, machine vision, autonomous systems, or industrial robotics.
Knowledge of FPGA-based acceleration and heterogeneous computing platforms.
Publications, patents, or recognized contributions in AI, robotics, or computer architecture.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: itcca001
Position Id: f0da730ba0a788db098744afa8048c2d
Posted 1 day ago

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