AI Hardware Architect

How to use this kit

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Occupation tasks (O*NET)

Public-domain labor data — prepare examples for 2–3 of these.

• Update knowledge and skills to keep up with rapid advancements in computer technology.
• Design and develop computer hardware and support peripherals, including central processing units (CPUs), support logic, microprocessors, custom integrated circuits, and printers and disk drives.
• Confer with engineering staff and consult specifications to evaluate interface between hardware and software and operational and performance requirements of overall system.
• Build, test, and modify product prototypes, using working models or theoretical models constructed with computer simulation.
• Write detailed functional specifications that document the hardware development process and support hardware introduction.
• Test and verify hardware and support peripherals to ensure that they meet specifications and requirements, by recording and analyzing test data.
• Direct technicians, engineering designers or other technical support personnel as needed.
• Provide technical support to designers, marketing and sales departments, suppliers, engineers and other team members throughout the product development and implementation process.

O*NET source

Company facts (cached)

Website: nvidia.com

Nvidia Corporation is an American multinational technology company headquartered in Santa Clara, California. The company develops graphics processing units (GPUs), systems on chips (SoCs), and application programming interfaces (APIs) for data science, high-performance computing, artificial intelligence (AI), and mobile and automotive applications. Founded in 1993 by Jensen Huang, Chris Malachowsky, and Curtis Priem, Nvidia has been widely described as a Big Tech company.

Public cache only — not an employee review.

Role overview (listing rewrite)

Nvidia is hiring a Full Time AI Hardware Architect in 2 Locations to define and advance hardware architectures that enable high-performance artificial intelligence workloads. About This Position This AI Hardware Architect role at Nvidia in 2 Locations centers on shaping efficient, scalable silicon and system-level designs for modern AI processing. You will operate at the intersection of architecture, algorithms, and implementation, partnering across engineering groups to translate AI compute needs into practical hardware solutions. The position is full time and based in 2 Locations, offering the chance to contribute original technical direction on platforms that support training and inference at scale. Success requires both deep hardware insight and clear communication with software, design, and product stakeholders so architectural choices stay aligned with real-world artificial intelligence demands. Day-to-Day Responsibilities Define architecture specifications for AI-focused hardware blocks, accelerators, and related subsystems Model performance, power, and area trade-offs using simulation and analytical techniques suited to machine learning workloads Evaluate memory hierarchies, interconnect fabrics, and data movement schemes for AI compute efficiency Collaborate with RTL, physical design, and software teams to refine microarchitecture and ensure implementability Review emerging AI algorithms and map them onto hardware features that improve throughput and energy efficiency Document architectural decisions, present trade-off analyses, and guide cross-functional alignment on hardware roadmaps Contribute to validation strategies that confirm correct behavior of AI hardware architects’ design intent What You Bring Strong foundation in computer architecture, digital systems, and hardware design principles Hands-on experience with AI or machine learning accelerator concepts, including dataflow and compute primitives Proficiency with architecture modeling, cycle-accurate or performance simulation tools, and quantitative analysis Familiarity with ASIC or SoC development flows, RTL concepts, and hardware-software co-design practices Ability to reason about power, performance, and area constraints in complex silicon environments Clear technical writing and presentation skills for architecture reviews and stakeholder discussions Relevant degree in electrical engineering, computer engineering, computer science, or equivalent practical background suited to an AI Hardware Architect path About Nvidia Nvidia is hiring for this role and offers a supportive team environment where AI Hardware Architect professionals can grow their craft while tackling challenging technical…

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Questions to ask them

• What does success look like in the first 90 days for this role?
• How is the team structured, and who would I work with most?
• What tools and systems does this role use daily?
• Is the work primarily based in 2 Locations, hybrid, or fully remote?