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Ai Chip Jobs (NOW HIRING)

NXP Semiconductors N.V.

Chip Lead

Austin, TX · On-site

$101K - $133K/yr

AI & Chip Engineering team defines and develops System on Chip, ASIC's, Digital and Analog IP's for a wide range of products, including Automotive microprocessors, Application processors, Data Center ...

NXP Semiconductors

Chip Lead

Austin, TX · Hybrid

$101K - $133K/yr

AI & Chip Engineering team defines and develops System on Chip, ASIC's, Digital and Analog IP'sfor a wide range of products, including Automotive microprocessors, Application processors, Data Center ...

Cerebras

Principal ML Investigator

Sunnyvale, CA · On-site

Cerebras is a leading company in AI chip technology, known for building the world's largest AI chip. They are seeking a Principal ML Investigator to lead a new ML team focused on advancing machine ...

Nvidia

Senior Software Engineer - Agentic AI

Santa Clara, CA · Hybrid

$143K - $189K/yr

As part of NVIDIA's applied LLM and AI chip design team, you will have the opportunity to tap into the unlimited potential of AI and change the landscape of chip design at NVIDIA and throughout the ...

Advantest

AI Automation Engineering Intern

San Jose, CA

$19.75 - $25.50/hr

Mentorship from experienced test and product engineers at the forefront of AI chip development. * A portfolio of automation projects you can showcase to future employers. * The opportunity to shape ...

NVIDIA

Senior Software Engineer - Agentic AI

Santa Clara, CA · Hybrid

$142K - $188K/yr

As part of NVIDIA's applied LLM and AI chip design team, you will have the opportunity to tap into the unlimited potential of AI and change the landscape of chip design at NVIDIA and throughout the ...

Eridu AI

ASIC Chip Design Lead

Saratoga, CA · On-site

$250K - $280K/yr

Today's AI performance is frequently limited by communication bottlenecks. Eridu introduces ... Position Overview We are seeking a hands-on ASIC Chip Design Lead to own chip design execution from ...

Bronco

Founding Software Engineer

San Francisco, CA · On-site

$150K - $200K/yr

We're currently deployed alongside verification teams at some of the largest chip companies in the world and AI chip startups, supporting production SoC designs at leading-edge process nodes. We are ...

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Ai Chip information

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 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
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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 June 2026, with employment types broken down into 100% Full Time. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

Chip Lead

NXP Semiconductors N.V.

Austin, TX • On-site

$101K - $133K/yr

Full-time

Posted 7 days ago

Job description

Business Line Description:
  • AI & Chip Engineering team defines and develops System on Chip, ASIC's, Digital and Analog IP's for a wide range of products, including Automotive microprocessors, Application processors, Data Center and network processors.

Job Summary:
  • Lead product execution for Automotive ASIL-B/D SoC's & Data Center SOCs
  • Work with Systems, Marketing, PE/TE and Arch engineering to define the part. Generate and analyze data to take right and cost effective architecture decision
  • Work with IP, Technology, packaging partners to assess the right IP/packages and technology options for the part.
  • Work with IP and SoC functions (frontend, verification, AMS, DFT, Emulation, Validation, Physical implementation) to understand and resolve inter/intra functional handoff and challenges.
  • Oversee definition management and make sure the implementation complies with the requirements
  • Work closely with downstream teams dependent on SOC, who are working on post-silicon activities, to make sure their needs are addressed
  • Work closely with Test and Product engineering teams to enable productization.
  • Work closely with post silicon evaluation teams (functional and analog Validation, Characterization, Application and Software teams) and address design issues.
  • Work with Program management office for management attention and clearly articulate dependencies and help needed for timely execution of projects.
  • Assess workload and resource demands based on complexity and create predictable project plans meeting customer requirements
  • Mentor engineers across various functions

Key Challenges:
  • Automotive SoC development pose additional challenges specific to implementation of safety mechanism
  • Automotive SoC development requires ensuring very high quality and reliability, ensuring a very low ppm defectivity over an long product life time.
  • The role includes leading the teams in a matrix organization, assimilating information from across functional teams and analyzing it in product context
  • Understand impact of architecture on logical and physical realizability
  • Working within resource and schedule constraints

Cross functional aspects:
  • This role is primarily about leading cross functional teams
  • During part definition is includes a close interaction with Business, Systems, Architects, third party IP vendors
  • During execution a close interaction and decision making is required between Technology, packaging, IP, Architecture, Various implementation functions, Test and Product Engineering.
  • Post silicon, close collaboration is needed with Software, Test and production engineering, Application and Field teams.
  • Overall, Chip lead is central design point of contact for all cross functional teams associated with the part.

Job Qualifications:
  • Bachelors in Engineering with at 15 years of design development experience, with at least 5 years of leading complete design and design functions.
  • MS in Electrical Engineering preferred (higher level education may substitute for some experience).
  • Experience in leading Global cross functional teams
  • Experience in leading designs in smaller geometries desired

Job location:
  • The role is based in Austin/US. This is a hybrid role with a few days in the office each week and the remaining days are work from home.

More information about NXP in the United States...
NXP is an Equal Opportunity/Affirmative Action Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, NXP will provide reasonable accommodations for otherwise qualified disabled individuals.
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