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Director Ai Hardware Jobs (NOW HIRING)

With AI redefining the computing paradigm, solutions must evolve to unify innovations in software ... As the position offered will have direct and/or indirect access to information, systems, or ...

Senior Director, AI

Bodega Bay, CA · On-site +1

$257K - $402K/yr

Overview The Senior Director of AI will be a pivotal leader within our cutting-edge humanoid ... Partner with Hardware and Robot Software leadership to ensure the sensor suite and embedded compute ...

Founded in 2023 by veteran technologists from the worlds of semiconductors, AI systems, and ... Direct contact of employees, officers, or board members regarding employment opportunities is ...

Founded in 2023 by veteran technologists from the worlds of semiconductors, AI systems, and ... Direct contact of employees, officers, or board members regarding employment opportunities is ...

Founded in 2023 by veteran technologists from the worlds of semiconductors, AI systems, and ... Direct contact of employees, officers, or board members regarding employment opportunities is ...

... rotating hardware estate across priority OEM platforms including NVIDIA DGX and HGX, Cisco AI ... direct accountability for building and growing technical presales or architecture teams. • ...

... rotating hardware estate across priority OEM platforms including NVIDIA DGX and HGX, Cisco AI ... direct accountability for building and growing technical presales or architecture teams. • ...

... rotating hardware estate across priority OEM platforms including NVIDIA DGX and HGX, Cisco AI ... direct accountability for building and growing technical presales or architecture teams. • ...

About Positron AI Positron AI specializes in developing custom hardware systems to accelerate AI ... Create and maintain simulation testbenches, directed and constrained-random tests * Collaborate ...

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Director Ai Hardware information

See salary details

$62.5K

$133.7K

$195K

How much do director ai hardware jobs pay per year?

As of Jul 26, 2026, the average yearly pay for director ai hardware in the United States is $133,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $157,000.00 per year, depending on experience, location, and employer.

What is the 30% rule for AI?

The 30% rule in AI refers to the guideline that a significant portion of AI project success depends on data quality and quantity, often suggesting that at least 30% of project effort should focus on data collection and preprocessing. For a Director of AI Hardware, understanding this emphasizes the importance of developing hardware that efficiently supports large-scale data processing and model training. Mastery of hardware acceleration tools like GPUs and TPUs is essential to meet these data demands effectively.

Which 3 jobs will survive AI?

For a Director of AI Hardware, roles that require complex problem-solving, creativity, and human oversight are likely to persist, such as hardware engineering, AI system architecture, and technical project management. These jobs involve designing, developing, and overseeing AI hardware components, which require specialized skills and hands-on expertise that are difficult to fully automate. Continuous learning and certification in hardware design and AI technologies can help ensure long-term relevance in this field.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a Director of AI Hardware, which involves overseeing the development of AI chips and systems. These roles often require advanced technical skills, leadership experience, and may include compensation packages with base salary, bonuses, and stock options reaching or exceeding this amount.

How much does an AI director make?

An AI director typically earns between $120,000 and $200,000 annually, depending on experience, industry, and location. They often have advanced degrees in AI, computer science, or related fields and may oversee teams working on AI hardware or software development.

What is the difference between Director Ai Hardware vs AI Hardware Engineer?

AspectDirector Ai HardwareAI Hardware Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fields; extensive experience in hardware design and project managementBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fields; specialized in hardware development and testing
Work EnvironmentLeadership roles overseeing teams, strategic planning, and cross-department collaborationHands-on hardware design, prototyping, and testing within R&D teams
Employer & Industry UsageTech companies, AI startups, and hardware manufacturers focusing on AI solutionsHardware development teams within similar industries, focusing on AI hardware components

The main difference is that the Director Ai Hardware focuses on leadership, strategy, and project oversight, while the AI Hardware Engineer is involved in the technical development and implementation of AI hardware components. Both roles require relevant technical credentials, but the director's role emphasizes management and strategic planning.

More about Director Ai Hardware jobs
What cities are hiring for Director Ai Hardware jobs? Cities with the most Director Ai Hardware job openings:
What are the most commonly searched types of Ai Hardware jobs? The most popular types of Ai Hardware jobs are:
What states have the most Director Ai Hardware jobs? States with the most job openings for Director Ai Hardware jobs include:
Infographic showing various Director Ai Hardware job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $133,749 per year, or $64.3 per hour.

Senior ASIC Verification Engineer (AI Hardware)

4 Staffing Corp

San Jose, CA • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

About the job Senior ASIC Verification Engineer (AI Hardware)
Senior ASIC Verification Engineer (AI Hardware) - Remote (U.S.) - No Visa Sponsorship
Overview
Our client an AI / Compute company of the verge of being the next Nvidia is looking for an experienced ASIC Verification Engineer to help ensure the quality, reliability, and performance of their next-generation AI-focused silicon. In this role, you'll partner closely with design, architecture, and software teams to validate complex hardware systems and contribute to cutting-edge compute solutions. This position also offers the opportunity to take ownership of verification efforts and influence best practices across projects.
Key Responsibilities

  • Define and drive verification strategies for advanced ASIC designs used in AI/compute workloads
  • Build and execute detailed verification plans, including coverage goals and validation approaches
  • Develop scalable verification environments using System Verilog and UVM
  • Create simulation infrastructure, including testbenches and both directed and constrained-random test scenarios
  • Work cross-functionally with design and architecture teams to achieve coverage closure and functional accuracy
  • Identify, debug, and resolve design issues throughout pre-silicon and early silicon validation phases
  • Partner with FPGA and emulation teams to support early prototyping and validation efforts
  • Track project milestones, manage verification deliverables, and proactively address risks
Required Background
  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related discipline
  • 8+ years of hands-on experience in ASIC or SoC verification
  • Strong proficiency with System Verilog and UVM-based verification flows
  • Deep understanding of verification planning, coverage methodologies, and testbench architecture
  • Experience working with leading EDA toolchains (e.g., Cadence, Synopsys, Siemens EDA)
  • Solid debugging skills, including waveform analysis and scripting (Python, Tcl, or similar)
  • Exposure to high-performance compute architectures such as AI accelerators, memory hierarchies, or high-speed interfaces
  • Demonstrated success verifying complex silicon designs
Nice to Have
  • Advanced degree in a relevant engineering field
  • Experience with hardware/software integration or co-verification
  • Familiarity with formal verification methods
  • Exposure to post-silicon validation, bring-up, or lab debug processes