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Ai Hardware Architect Jobs (NOW HIRING)

Baidu USA

SoC System Hardware Architect

Sunnyvale, CA · On-site

$196K/yr

Do you want to be part of the AI revolution? Do you want to think out of the box, thriving on ... architectural requirements. Knowledgeable with storage, networking, or hardware protocols e.g ...

SK hynix America

AI Memory Solution Architect

San Jose, CA · On-site

$155K - $255K/yr

Perform AI hardware/software system analysis to develop next-generation AI memory and storage solution architecture for energy-efficient AI/ML computing infrastructure, including memory and cache ...

Stellantis

Senior Automotive Hardware Architect

Detroit, MI · On-site

$97K - $124K/yr

Drive the HW architecture decision for the next Stellantis automotive computing system/hardware ... Experience in RISC-V architecture, AI/ML, hypervisor technologies is a plus * Experience in ...

Stellantis

Senior Automotive Hardware Architect

Detroit, MI · On-site

$97K - $124K/yr

Drive the HW architecture decision for the next Stellantis automotive computing system/hardware ... Experience in RISC-V architecture, AI/ML, hypervisor technologies is a plus * Experience in ...

Tenstorrent

Performance Architect, AI HW

$170K/yr

Responsibilities : • Benchmark and analyze complex AI workloads across single and multi-node hardware configurations to guide next-gen architecture. • Develop and maintain performance models ...

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Ai Hardware Architect information

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$46.5K

$128.8K

$201.5K

How much do ai hardware architect jobs pay per year?

As of Sep 11, 2026, the average yearly pay for ai hardware architect in the United States is $128,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $166,000.00 per year, depending on experience, location, and employer.

What is an AI hardware architect?

AI Hardware Architects are professionals who design and optimize hardware systems specifically for artificial intelligence applications, such as machine learning and deep learning. They work on developing specialized chips, processors, and computing architectures that accelerate AI workloads and improve efficiency. Their responsibilities include collaborating with software engineers, evaluating emerging technologies, and ensuring that hardware solutions meet the performance and scalability needs of AI models. This role is critical in bridging the gap between cutting-edge AI algorithms and the physical hardware that powers them.

What skills and qualifications are needed to thrive as an AI hardware architect?

To thrive as an AI Hardware Architect, you need a deep understanding of computer architecture, digital design, and machine learning algorithms, typically backed by a degree in electrical engineering, computer engineering, or a related field. Familiarity with hardware description languages (HDLs) like Verilog or VHDL, experience with FPGA/ASIC design tools, and knowledge of AI accelerator frameworks are essential. Strong problem-solving abilities, collaboration, and effective communication set standout professionals apart in this field. These skills and qualities are critical for designing efficient and scalable hardware solutions that meet the complex demands of AI applications.

What are common challenges faced by AI hardware architects when designing new hardware solutions?

AI Hardware Architects often encounter challenges such as balancing performance requirements with power efficiency, ensuring scalability for various AI workloads, and staying current with rapidly evolving AI algorithms. They must collaborate closely with software engineers to align hardware capabilities with software needs and anticipate future industry trends to create forward-compatible architectures. Navigating trade-offs between cost, speed, and flexibility is a routine part of the role, requiring strong communication and problem-solving skills.

What are popular job titles related to Ai Hardware Architect jobs?

For Ai Hardware Architect jobs, the most frequently searched job titles are:

Infographic showing various Ai Hardware Architect job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $128,756 per year, or $61.9 per hour.

SoC System Hardware Architect

Sunnyvale, CA • On-site

Baidu USA
See more jobs at Baidu USAexternal

$196K/yr

Full-time

Re-posted 2 days ago

Job description

Do you want to be part of the AI revolution? Do you want to think out of the box, thriving on challenges in AI industry and have the desire to solve them? Do you want to work with a world-class team to explore the fast-growing AI hardware opportunities and impact on AI industry?
We're looking forward to you joining us to collaborate, contribute, and revolutionize AI silicon and system.
Description
We are looking for a world-class SOC Silicon Architect to join our SoC team at Baidu's Sunnyvale office. The successful candidate will be a motivated self-starter who will thrive in this highly technical environment. Your job responsibilities as a SOC Silicon Architect will be to provide technical leadership through all phases of Baidu's AI SoC development, but primarily focused on specification & architecture definition.
Work with Baidu's AI SoC marketing and software architects to define technical Requirements & Architecture Specifications for chip development. Work with the SoC design team & program management to develop costing estimates, power/area targets, resource plans and schedules for the technical implementation.
Drive SoC performance evaluation and provide recommendations for technology, IP, and vendor selection. Support design and verification in pre and post silicon to ensure features to meet the architectural requirements.
Knowledgeable with storage, networking, or hardware protocols e.g., Ethernet, DDR, PCIe, I2C, SPI, USB buses and NoC. Experience with ARM CPU Cores and IP (Coherent Mesh, GIC, SMMU, etc.) selection, configuration, and integration. Familiarity with interconnects (NoC), coherency, virtual memory, memory controllers.
Qualifications
  • 10+ years of experience in SoC Silicon architecture or IP design.
  • Demonstrated ability to develop detailed architecture, performance, power and cost estimates from higher level feature, function and performance requirements.
  • Familiar with methods for partitioning a solution across hardware and software, analog and digital or other multi-disciplinary boundaries in a system solution.
  • Excellent communication skills. Ability to read and write detailed architectural specs.
  • BS/MS in Electrical or Computer Engineering.
  • Excellent communication skills in both English and Chinese.

Culture Fit:
  • Mission alignment: If you want to be part of a team to accomplish this great mission, we will provide you the best possible platform to do that.
  • Self-directed: We work best with people that are driven, motivated, and aspire to greatness.
  • Hungry to learn: We are eager to see you learn new skills and grow.
  • Team orientation: We work in small, fast-moving teams. We watch out for each other and go after big goals together as a team.

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