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Ai Chip Jobs (NOW HIRING)

Harmonic Executive

VP Finance

San Francisco, CA · On-site +1

$220K - $300K/yr

AI Computing Hardware Start-Up USA Remote Harmonic is proud to have been retained by a VC backed start-up that is at the frontier of AI chip and semiconductor design and manufacture. This represents ...

Cerebras

Network Architect

Sunnyvale, CA · On-site

$75.50 - $101.25/hr

Cerebras Systems builds the world's largest AI chip, transforming the user experience of AI applications. As a Network Architect, you will develop cutting-edge datacenter and interconnect ...

OpenReq

Machine Learning Researcher

Cupertino, CA · On-site

OpenReq is focused on innovative AI chip technology, and they are seeking a Machine Learning Researcher to lead research efforts on compute trade-offs for enhanced understanding and speed. The role ...

Lightmatter

Chip Architecture Leader

Boston, MA · On-site

Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant ... We are hiring a Head of Chip Architecture, you will collaborate with both external partners and ...

FuriosaAI

Solutions Architect - US

Santa Clara, CA · On-site

$74 - $97.50/hr

... AI chip company, cloud silicon team, or AI infrastructure startup • Familiarity with NPU/GPU accelerator ecosystems, PCIe integration, and data center hardware deployment • Experience with ...

Cerebras

Senior Performance Engineer, Inference

Sunnyvale, CA · On-site

$122K - $167K/yr

Cerebras Systems builds the world's largest AI chip, transforming the user experience of AI applications. They are seeking a Senior Performance Engineer to focus on performance benchmarking and ...

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All JobsAi Chip Jobs

Ai Chip information

Who are the top 5 AI chip makers?

The top five AI chip makers are NVIDIA, AMD, Intel, Google (with its Tensor Processing Units), and Apple. These companies lead the industry in developing specialized hardware for AI workloads, often requiring expertise in hardware design, programming, and system integration for AI chip development roles.

Which 3 jobs will survive AI?

AI Chip professionals, such as hardware engineers and AI system architects, are likely to continue thriving due to the specialized technical skills required to design and optimize AI hardware. Additionally, roles in AI ethics and policy, which involve understanding societal impacts and regulations, are less susceptible to automation. These jobs demand critical thinking, domain expertise, and ongoing adaptation to technological advancements.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, research scientist, or executive roles, which offer compensation in that range including salary, bonuses, and stock options. These roles often require advanced skills in machine learning, deep learning, and experience with AI frameworks, along with a strong educational background and industry expertise.

What are some common challenges faced by professionals working in AI chip development, and how can they be addressed?

Professionals in AI chip development often encounter challenges such as balancing high computational performance with power efficiency, keeping up with rapid technological advancements, and integrating hardware with evolving AI algorithms. Collaboration between hardware engineers, software developers, and data scientists is essential to ensure that chips meet both performance and functional requirements. Staying current through ongoing learning and participating in cross-functional teams can help address these challenges and contribute to successful AI chip projects.

What engineers make $500,000?

Senior AI chip engineers, especially those with extensive experience, advanced degrees, and expertise in hardware design, often earn salaries of $500,000 or more, including base pay, bonuses, and stock options. High compensation is typically found in leading technology companies working on cutting-edge semiconductor and AI hardware development.

What are AI chips?

AI chips are specialized hardware components designed to accelerate artificial intelligence workloads, such as machine learning and deep learning tasks. Unlike traditional CPUs, AI chips are optimized for processing large volumes of data in parallel, making them highly efficient for neural network computations. These chips are commonly used in data centers, smartphones, autonomous vehicles, and edge devices to enable faster and more energy-efficient AI processing.

What are the key skills and qualifications needed to thrive as an AI Chip Engineer, and why are they important?

To thrive as an AI Chip Engineer, you need a solid background in electrical engineering, computer architecture, and experience with hardware design, typically supported by a relevant degree. Familiarity with hardware description languages (such as Verilog or VHDL), EDA tools, and knowledge of semiconductor fabrication processes are crucial technical requirements. Attention to detail, strong problem-solving abilities, and effective teamwork skills help you excel in complex project environments. These competencies are vital for developing high-performance, efficient AI chips that power modern artificial intelligence applications.

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

AspectAi ChipAI Hardware Engineer
Required CredentialsBachelor's or higher in Electrical Engineering, Computer Engineering, or related fields; knowledge of VLSI designBachelor's or higher in Electrical Engineering, Computer Engineering, or related fields; experience with hardware design and testing
Work EnvironmentDesign labs, manufacturing facilities, R&D centersDesign labs, testing facilities, R&D centers
Employer & Industry UsageTech companies, semiconductor firms, AI hardware startupsTech companies, semiconductor companies, research institutions

While both roles involve hardware and AI technology, an Ai Chip focuses on designing and developing AI-specific chips, whereas an AI Hardware Engineer works on the broader hardware systems that support AI applications, including integration and testing.

More about Ai Chip jobs
What cities are hiring for Ai Chip jobs? Cities with the most Ai Chip job openings:
What states have the most Ai Chip jobs? States with the most job openings for Ai Chip jobs include:
What job categories do people searching Ai Chip jobs look for? The top searched job categories for Ai Chip jobs are:
Ai Chip jobs near you
Infographic showing various Ai Chip job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

VP Finance

Harmonic Executive

San Francisco, CA • On-site, Remote

$220K - $300K/yr

Full-time

Re-posted 2 days ago

Job description

Are you a VP Finance looking to shape strategy at a post-Series A, capital-intensive AI hardware start-up?

Founded by world-leading mathematicians and experienced semiconductor operators, the company has developed breakthrough AI chip technology delivering dramatically faster processing with significantly lower energy usage. Backed by a $30m Series A from top deep-tech investors and a strategic manufacturing partnership, the business is entering its next phase of growth at the intersection of semiconductors, secure computing, and next-generation AI infrastructure.

AI Computing Hardware Start-Up

USA Remote

Harmonic is proud to have been retained by a VC backed start-up that is at the frontier of AI chip and semiconductor design and manufacture. This represents a significant leap forward in technology (think Nvidia but specifically for the AI industry) which is addressing one of the most fundamental challenges in modern AI: how to perform computation on highly sensitive data at scale.

The Role

The VP Finance will play a pivotal role in shaping the company’s financial strategy during a period of highly capital-intensive R&D and early market engagement.

This role goes far beyond traditional FP&A. The VP Finance will act as a strategic partner to the CEO and executive team, translating complex technical progress into clear financial narratives for investors, board members, and external partners, while building the financial infrastructure required to scale a semiconductor business responsibly.

The position offers meaningful exposure at Board level and will be instrumental in preparing the company for future fundraising, major technical milestones and commercialization.

Key Responsibilities:

  • Own the development of robust, milestone-driven financial models aligned to hardware R&D phases and technical risk retirement
  • Establish forecasting and budgeting frameworks suited to capital-intensive engineering environments rather than traditional revenue-led models
  • Play a central role in preparing the business for future capital raises and strategic financing events
  • Partner closely with the CEO as a trusted executive advisor on capital allocation, timing of major spend events, and strategic trade-offs
  • Build KPI frameworks that connect engineering progress, operational execution, and capital efficiency
  • Design and manage budgets for advanced research, silicon development, external vendors, and manufacturing partners
  • Produce short-, mid-, and long-term strategic financial plans tied to key technical and commercial inflection points
  • Support contracting and financial oversight for government, research, or regulated-industry engagements
  • Prepare detailed Board materials and investor reporting, providing clear insight into progress, risks, and capital outlook
  • Act as a business partner across engineering, operations, and leadership teams, challenging assumptions and improving decision-making
Skills

What We’re Looking For

  • Background in investment banking, corporate finance, VC/PE, or strategic finance
  • Senior finance experience within a capital-intensive hardware technology business
  • Experience operating in R&D-heavy, technically complex environments (e.g. semiconductors, deeptech, advanced computing, robotics, defense, biotech, climate tech, spacetech, AI)
  • Exceptional financial modelling capability
  • Comfortable operating as a hands-on finance leader in an early-stage VC environment
  • Excellent communication skills with the credibility to engage engineers, investors, and board members
  • High level of commercial judgement and intellectual curiosity

Nice to Have (Non-Essential):

  • Experience in a venture-backed technology company that has raised significant institutional capital
  • Exposure to semiconductor, hardware, or infrastructure-led business models
  • Experience supporting government or highly regulated customers
  • Track record of building finance functions from first principles
Package

Compensation: $220,000 – $300,000 base + bonus + meaningful equity participation

Location: Remote (San Francisco Bay Area, Seattle or Boston preferred)

Please get in touch with Fin at fin.glanvill@harmonicfinance.com for more information.

Please feel free to circulate with any friends or contacts that may be interested.

At Harmonic, we are dedicated to fostering an inclusive and equitable workplace. We actively welcome applications from individuals of all backgrounds and assure you that every candidate will be thoughtfully considered for the roles we represent, without regard to race, religion, gender expression, disability, or sexual orientation.

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We'd love to hear from you

Whether you're looking to partner with us on a role you're trying to fill, or you're looking for a new role for yourself, drop us a call or email today.

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