Physical AI Architect

Physical AI Architect Skip to main content

Altera uses cookies and similar technologies on this website to improve your online experience, to analyze site usage and to show tailored advertising to you. For more information on Altera's use of cookies and similar technologies, visit our Cookie Notice.# Careers Physical AI Architect page is loaded## Physical AI Architect Apply locations:
San Jose, California, United Statestime type:
Full time posted on:
Posted Todayjob requisition :
R02654#
** Job Details:**### ##
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* Job Description:

**** About Altera
** At Altera

TM, our independence as the world’s largest pure‐play FPGA solutions provider gives us the focus, speed, and agility to innovate without compromise. With more than four decades of industry‐leading FPGA expertise, our singular mission is to deliver the programmable technologies that help customers differentiate, innovate, and scale across rapidly evolving markets like AI, cloud, networking, and edge. As an independent company, we move faster, invest deeper, and partner more closely—empowering our teams to drive breakthrough innovation and shape the future of the FPGA industry.
** About the Role
** Altera is seeking a
** PhD-level Engineer/Physical AI Architect
** to help define the next generation of Physical AI platforms for robotics, industrial automation, machine vision, and autonomous systems. The candidate will drive system architecture and workload analysis across heterogeneous compute platforms combining CPUs, DSPs, FPGA fabric, AI accelerators, GPUs, memory subsystems, and high-speed sensor interfaces. The role will focus on mapping real-world Physical AI workloads to optimized hardware/software architectures and influencing future Altera product roadmaps.

As part of Altera'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 Altera'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 Altera SoC, FPGA, memory, interconnect, and accelerator roadmaps.
** Salary Range
** The pay range below is for Bay Area California only. Actual salary may vary based on a number of factors including job location, job-related knowledge, skills, experiences, trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance.**$133,200 - $190,000 USD
** We use artificial intelligence to screen, assess, or select applicants for the position. Applicants must be eligible for any required U.S. export authorizations.### ##
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* Qualifications:

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* Minimum Qualifications:

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* ** 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…