Job Summary : Cerebras Systems is a leader in AI chip technology, known for building the world's largest AI chip. The Full Stack Engineer will design, build, and maintain a comprehensive test ...
Job Summary : Cerebras Systems is a leader in AI chip technology, known for building the world's largest AI chip. The Full Stack Engineer will design, build, and maintain a comprehensive test ...
Senior Software Engineer - Agentic AI
Santa Clara, CA · Hybrid
$143.90K - $189.70K/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 ...
Senior Software Engineer - Agentic AI
Santa Clara, CA · Hybrid
$143.90K - $189.70K/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 ...
Cerebras Systems builds the world's largest AI chip, enabling unprecedented AI compute power. The role involves owning model quality and performance for Cerebras' inference offerings, defining ...
Cerebras Systems builds the world's largest AI chip, enabling unprecedented AI compute power. The role involves owning model quality and performance for Cerebras' inference offerings, defining ...
AI Automation Engineering Intern
San Jose, CA · On-site
$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 ...
AI Automation Engineering Intern
San Jose, CA · On-site
$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 ...
Cerebras Systems builds the world's largest AI chip, and they are seeking a Senior Technical Program Manager to own site and data center operations programs supporting their AI Cloud and customer ...
Cerebras Systems builds the world's largest AI chip, and they are seeking a Senior Technical Program Manager to own site and data center operations programs supporting their AI Cloud and customer ...
Design Verification Intern -RISCV CPU
Austin, TX · On-site
$50 - $70/hr
You will be mentored by and work alongside a group of highly experienced engineers across various domains of the AI chip. This role is on-site, 40 hours, based out of Santa Clara, CA or Austin, TX. ...
Design Verification Intern -RISCV CPU
Austin, TX · On-site
$50 - $70/hr
You will be mentored by and work alongside a group of highly experienced engineers across various domains of the AI chip. This role is on-site, 40 hours, based out of Santa Clara, CA or Austin, TX. ...
Cerebras Systems builds the world's largest AI chip and is seeking an AI/ML Research Scientist to join their Advanced Technology Group. In this role, you will design and develop AI models and ...
Cerebras Systems builds the world's largest AI chip and is seeking an AI/ML Research Scientist to join their Advanced Technology Group. In this role, you will design and develop AI models and ...
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 ...
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 ...
AI Infrastructure Operations Engineer
Sunnyvale, CA · On-site
$126.20K - $165.50K/yr
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the ...
AI Infrastructure Operations Engineer
Sunnyvale, CA · On-site
$126.20K - $165.50K/yr
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the ...
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 ...
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 ...
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the ...
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the ...
AI Infrastructure Operations Engineer
Sunnyvale, CA · On-site
$126.20K - $165.50K/yr
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the ...
AI Infrastructure Operations Engineer
Sunnyvale, CA · On-site
$126.20K - $165.50K/yr
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the ...
AI Automation Engineering Intern
San Jose, CA · On-site
$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 ...
AI Automation Engineering Intern
San Jose, CA · On-site
$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 ...
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the ...
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the ...
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the ...
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the ...
AI Models, Product Manager
Sunnyvale, CA · On-site
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the ...
AI Models, Product Manager
Sunnyvale, CA · On-site
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the ...
The role serves as a technical bridge between the research team developing novel quantum/AI architectures and the chip fabrication team responsible for implementation, ensuring that proposed designs ...
The role serves as a technical bridge between the research team developing novel quantum/AI architectures and the chip fabrication team responsible for implementation, ensuring that proposed designs ...
Develop AI agents which can process large codebase and waves failures to help in coding and debugging tasks. * Collaborate with HW engineering teams to understand their specific needs and challenges ...
Develop AI agents which can process large codebase and waves failures to help in coding and debugging tasks. * Collaborate with HW engineering teams to understand their specific needs and challenges ...
The role serves as a technical bridge between the research team developing novel quantum/AI architectures and the chip fabrication team responsible for implementation, ensuring that proposed designs ...
The role serves as a technical bridge between the research team developing novel quantum/AI architectures and the chip fabrication team responsible for implementation, ensuring that proposed designs ...
The role serves as a technical bridge between the research team developing novel quantum/AI architectures and the chip fabrication team responsible for implementation, ensuring that proposed designs ...
The role serves as a technical bridge between the research team developing novel quantum/AI architectures and the chip fabrication team responsible for implementation, ensuring that proposed designs ...
Ai Chip information
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 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 is the difference between Ai Chip vs AI Hardware Engineer?
| Aspect | Ai Chip | AI Hardware Engineer |
|---|---|---|
| Required Credentials | Bachelor's or higher in Electrical Engineering, Computer Engineering, or related fields; knowledge of VLSI design | Bachelor's or higher in Electrical Engineering, Computer Engineering, or related fields; experience with hardware design and testing |
| Work Environment | Design labs, manufacturing facilities, R&D centers | Design labs, testing facilities, R&D centers |
| Employer & Industry Usage | Tech companies, semiconductor firms, AI hardware startups | Tech 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:
Job description
Job Summary:
Cerebras Systems is a leader in AI chip technology, known for building the world's largest AI chip. The Full Stack Engineer will design, build, and maintain a comprehensive test software solution for manufacturing, collaborating with cross-functional teams to enhance efficiency and quality in production.
Responsibilities:
• Collaborate with hardware engineers and test developers to create frameworks that facilitate the development, validation, and deployment of manufacturing tests.
• Create an intuitive, functional, and flexible user interface for executing a wide variety of manufacturing tests.
• Create a distributed data storage framework to sync test data across multiple manufacturing facilities.
• Collaborate with data engineers and data scientists to create interactive reports for visualizing test results.
• Support cross-functional initiatives across manufacturing, operations, and reliability teams to improve manufacturing efficiency, quality, and scalability throughout the entire product lifecycle.
Qualifications:
Required:
• Bachelor’s degree in computer science, computer engineering, or related field.
• 3+ years of professional experience in full-stack software development.
• Strong proficiency in at least one advanced programming language (e.g. Python, C++).
• Experience with SQL databases (e.g. PostgreSQL, MySQL) and/or NoSQL databases (e.g. MongoDB, Redis).
• Experience with front-end technologies and frameworks (e.g. HTML, JavaScript).
Preferred:
• Experience with hardware manufacturing and/or related disciplines such as manufacturing test automation, manufacturing software, or manufacturing quality control.
• Experience with application development in Windows and/or Linux.
• Experience with cloud platforms (e.g. AWS, GCP).
• Experience with data engineering, data analytics, and/or business intelligence.
• Experience with UI/UX.
• Experience with networking and cybersecurity.
Company:
Cerebras Systems is the world's fastest AI inference. We are powering the future of generative AI. Founded in 2015, the company is headquartered in Sunnyvale, USA, with a team of 501-1000 employees. The company is currently Late Stage.
Cerebras Systems is a leader in AI chip technology, known for building the world's largest AI chip. The Full Stack Engineer will design, build, and maintain a comprehensive test software solution for manufacturing, collaborating with cross-functional teams to enhance efficiency and quality in production.
Responsibilities:
• Collaborate with hardware engineers and test developers to create frameworks that facilitate the development, validation, and deployment of manufacturing tests.
• Create an intuitive, functional, and flexible user interface for executing a wide variety of manufacturing tests.
• Create a distributed data storage framework to sync test data across multiple manufacturing facilities.
• Collaborate with data engineers and data scientists to create interactive reports for visualizing test results.
• Support cross-functional initiatives across manufacturing, operations, and reliability teams to improve manufacturing efficiency, quality, and scalability throughout the entire product lifecycle.
Qualifications:
Required:
• Bachelor’s degree in computer science, computer engineering, or related field.
• 3+ years of professional experience in full-stack software development.
• Strong proficiency in at least one advanced programming language (e.g. Python, C++).
• Experience with SQL databases (e.g. PostgreSQL, MySQL) and/or NoSQL databases (e.g. MongoDB, Redis).
• Experience with front-end technologies and frameworks (e.g. HTML, JavaScript).
Preferred:
• Experience with hardware manufacturing and/or related disciplines such as manufacturing test automation, manufacturing software, or manufacturing quality control.
• Experience with application development in Windows and/or Linux.
• Experience with cloud platforms (e.g. AWS, GCP).
• Experience with data engineering, data analytics, and/or business intelligence.
• Experience with UI/UX.
• Experience with networking and cybersecurity.
Company:
Cerebras Systems is the world's fastest AI inference. We are powering the future of generative AI. Founded in 2015, the company is headquartered in Sunnyvale, USA, with a team of 501-1000 employees. The company is currently Late Stage.
About Cerebras Systems
Sourced by ZipRecruiter
Industry
Computer and peripheral equipment manufacturing
Company size
201 - 500 Employees
Headquarters location
Sunnyvale, CA, US
Year founded
2015