Principal AI Hardware Architect
Ericsson GmbH
Principal AI Hardware Architect — Hardware/Software Co-Design Grow with us Location: Austin, TX Overview The Architect Who Closes the Gap. The Engineer Who Makes Silicon Inevitable. Problem Most chip programs are full of brilliant people who never quite speak the same language. Researchers build ambitious AI models. Silicon teams build powerful hardware. Infrastructure teams wire it all together. And somewhere in the space between those three worlds — in the handoffs, the assumption gaps, the untranslated requirements — massive performance dies quietly on the floor. Role As Principal AI Hardware Architect, you will own the most consequential technical contract in the company: the binding agreement between what AI workloads demand, what software systems can express, and what custom silicon can physically deliver. This is not a support role. This is not a liaison role. What You'll Own Workload-to-Architecture Translation – translate modern AI workloads into concrete hardware requirements that actually matter. Hardware/Software Co-Design Leadership – bridge model engineering, AI infrastructure, and silicon architecture teams. Performance Model Ownership – build and own the projection systems that guide compute investments, memory hierarchy decisions, and feature prioritization. Real Workload Validation – profile real workloads on real and future platforms, find bottlenecks, and feed findings into the next hardware and software cycle. Strategic Technical Translation – align people who think in different languages and ground every product decision in real workloads. What You Bring AI/ML Systems Depth – understand modern AI architectures, inference systems, quantization strategies, deployment constraints, and workload behavior on silicon. Silicon Architecture Fluency – experience with processor, accelerator, or custom silicon architectures, compute pipelines, memory hierarchies, on‑chip interconnects, performance trade‑off analysis. Required Qualifications 12+ years of industry experience across AI, systems, or silicon. Proven experience at the intersection of hardware and intelligent compute systems. Hardware/software co‑design leadership across full product cycles. Demonstrated performance modeling expertise – analytical, simulation, or cycle‑approximate. Track record of influencing architectural and product decisions across multiple technical organizations. Exceptional written communication and technical specification ability. Strong Python and C++ skills. Strongly Preferred Experience with custom silicon, accelerators, or advanced hardware platforms. Prior involvement in ISA definition, memory hierarchy design, or accelerator roadmap decisions. Benefits Salary range depends on location and qualifications. Location: Austin, Texas. Health benefits – choice of three medical plan options and a dental plan option with company credits equal to the cost that Ericsson pays toward the premiums. 401(k) Plan – automatic 3% company contribution and matching contributions up to 4% of eligible pay, with company credits for basic life insurance and disability coverage. Paid time off – minimum 15 days of accrued vacation, up to 3 personal days per year, 11 annual holidays, 8 hours of volunteer time, and 80 hours of sick time annually. Paid maternity leave of up to 16 weeks and parental or adoption leave of 6 weeks at 100% pay. Additional benefits – financial wellness programs, educational assistance, matching gifts, and recognition programs. Ericsson is proud to be an Equal Opportunity employer, learn more. #J-18808-Ljbffr Ericsson GmbH
- ...telecommunications company in Austin, Texas, is seeking a Principal AI Model Architect to bridge the gap between AI research and silicon development... ...for translating cutting-edge AI algorithms into precise hardware specifications, ensuring efficient model partitioning, and...Principal
- Ericsson GmbH in Austin, Texas is seeking a Principal AI Model Architect to bridge AI research and silicon design. Responsibilities include translating... ...The ideal candidate will master model architecture, have hardware-aware machine learning experience, and validate...Principal
- A leading AI hardware firm in Austin is seeking an experienced AI Hardware Architect to drive the next generation of architecture for AI hardware. Responsibilities include working on advanced GPU and CPU systems, researching application implications, and developing effective...Suggested
- Ericsson GmbH in Austin, Texas is looking for a Principal AI Hardware Architect who will own the technical contract between AI workloads, software systems, and custom silicon. This pivotal role is responsible for bridging different engineering teams to ensure optimal performance...SuggestedContract work
$184k - $287.5k
AI Hardware Architect page is loaded## AI Hardware Architectlocations: US, CA, Santa Clara: US, TX, Austintime type: Full timeposted on: Posted Yesterdayjob requisition id: JR2015198NVIDIA is hiring an AI Hardware Architect to analyze and architect the next generation of...Suggested- Jabil Malaysia is seeking an experienced Hardware Engineering Architect for Server/AI Products to lead architecture concepts during the design phase. You will translate customer use cases into scalable server architectures while collaborating with stakeholders to define...Remote job
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$144.2k - $288.4k
...Engineering and Product teams across the organization. Lead and drive proofs-of-concept and technology deep-dives especially in leveraging AI to power business analytics. Advise and assist App development teams with technical roadblocks such as performance challenges within...PrincipalHourly payFull timeTemporary workWork experience placementLocal area- ...performance, energy-efficient photonic AI inference system. We’re transforming AI... ...accomplished technical leader to serve as Senior Principal Architect for our cutting‑edge System‑on‑Chip... ...startup redefining the future of AI hardware. A collaborative and intellectually...PrincipalFull time
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...and Test Lead Engineer responsible for working with the Test Architect in the refinement and implementation of the SM-6 IAU program test... ...to address emergent issues across the systems, software and hardware domains. Represent the interests of the Systems Engineering...PrincipalTemporary workWork experience placementCurrently hiringWork at officeRemote workFlexible hours$168k - $264.5k
...technology firm in Austin is seeking a Senior P&R Methodology Architect to define and own next-gen RTL2GDS flow for advanced nodes. The... ...plus equity, making this role appealing for those looking to impact advanced AI hardware development. #J-18808-Ljbffr NVIDIA Corporation- ...Principal Engineer, NPU Architect Job Description We are looking for a Principal NPU Hardware Architect with 10 to 15 years of experience to drive the architectural definition... ...the massive data movement inherent in AI workloads. Infrastructure & Power: Lead...PrincipalWork at officeLocal areaRemote workFlexible hoursNight shift2 days per week
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- Cloudera is seeking a Director in Engineering to lead the technical roadmap for Data Engineering. The ideal candidate will possess over 10 years of experience in software engineering and specialized knowledge in technologies like Spark and Airflow. This role entails collaboration...Principal
$140k - $224.25k
...parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain... .... What you’ll be doing: Collaborate with software and hardware teams to identify high-impact opportunities for applying agentic...$152k - $241.5k
Senior Hardware SoC Architect page is loaded## Senior Hardware SoC Architectlocations: US, CA, Santa Clara: US, MA, Westford: US, TX, Austintime... ...20, 2026.This posting is for an existing vacancy.NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering...Work experience placement$184k - $287.5k
NVIDIA Corporation is seeking a Senior Deep Learning Performance Architect in Austin, Texas. The role involves designing hardware architectures to enhance AI workload performance and efficiency, analyzing deep learning workloads, and developing performance models using...
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