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Asic Design Ai Jobs (NOW HIRING)

Senior ASIC Design Engineer

San Jose, CA · On-site

$167K - $245K/yr

... the AI era, powering Cisco's core Switching, Routing, and Wireless products for organizations ... Bachelor's degree in Electrical or Computer engineering and 7+ years of ASIC Design related ...

Senior ASIC Design Engineer

San Jose, CA · On-site

$167K - $245K/yr

... the AI era, powering Cisco's core Switching, Routing, and Wireless products for organizations ... Bachelor's degree in Electrical or Computer engineering and 7+ years of ASIC Design related ...

San Jose (on-site) Ayar Labs is shattering AI data bottlenecks by moving data at the speed of light. As pioneers of co-packaged optics (CPO), we are using light instead of electricity to move data ...

San Jose (on-site) Ayar Labs is shattering AI data bottlenecks by moving data at the speed of light. As pioneers of co-packaged optics (CPO), we are using light instead of electricity to move data ...

San Jose (on-site) Ayar Labs is shattering AI data bottlenecks by moving data at the speed of light. As pioneers of co-packaged optics (CPO), we are using light instead of electricity to move data ...

NVIDIA is seeking ASIC Design Engineers to implement the world's leading SoC's and GPU's. This ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

NVIDIA is seeking ASIC Design Engineers to implement the world's leading SoC's and GPU's. This ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

About Positron AI Positron AI specializes in developing custom hardware systems to accelerate AI ... Role Overview As an ASIC Design Verification Engineer, you will play a critical role in ensuring ...

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Asic Design Ai information

See salary details

$94K

$150.2K

$202K

How much do asic design ai jobs pay per year?

As of Sep 8, 2026, the average yearly pay for asic design ai in the United States is $150,195.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $180,000.00 per year, depending on experience, location, and employer.

What is an ASIC Design AI engineer?

ASIC Design AI engineers are professionals who specialize in designing Application-Specific Integrated Circuits (ASICs) optimized for artificial intelligence (AI) workloads. They work on creating custom hardware that accelerates AI computations, such as deep learning, by tailoring circuits to specific algorithms and performance requirements. Their responsibilities include architecture design, logic implementation, verification, and collaborating with software and hardware teams to ensure efficient deployment. These engineers play a critical role in enabling faster, more efficient AI processing in devices ranging from smartphones to data centers.

What are the key skills and qualifications needed to thrive as an ASIC Design AI engineer?

To thrive as an ASIC Design AI Engineer, you need a solid background in digital design, computer architecture, and VLSI, typically supported by a degree in electrical engineering or computer engineering. Proficiency with hardware description languages (such as Verilog or VHDL), EDA tools (like Synopsys or Cadence), and knowledge of AI/ML frameworks is crucial. Strong problem-solving, teamwork, and communication skills help you collaborate with multidisciplinary teams and tackle complex design challenges. These skills ensure the development of efficient, high-performance AI hardware that meets both technical and business objectives.

How do ASIC Design AI engineers typically collaborate with software and hardware teams during a project?

ASIC Design AI engineers frequently work in close coordination with both hardware and software teams to deliver optimized AI hardware solutions. They often translate software algorithms into efficient hardware architectures, requiring regular communication with software engineers to understand model requirements and constraints. Collaboration with hardware teams is essential to integrate AI accelerators into larger systems and to ensure power, performance, and area objectives are met. Regular design reviews, cross-functional meetings, and joint debugging sessions are common practices to ensure seamless integration and project success.

What is the difference between Asic Design Ai vs FPGA Design Engineer?

AspectAsic Design AiFPGA Design Engineer
CredentialsBachelor's or Master's in Electrical Engineering, VLSI, or related fields; experience with AI hardwareBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fields; FPGA design experience
Work EnvironmentDesigning custom chips for AI applications, often in R&D or specialized manufacturingDeveloping and testing FPGA prototypes, often in hardware development or embedded systems
Industry UsageUsed in AI hardware accelerators, data centers, and semiconductor companiesUsed in prototyping, testing, and embedded systems across various industries

While both roles involve hardware design, Asic Design Ai focuses on creating custom AI chips, whereas FPGA Design Engineers develop flexible FPGA prototypes. Both require strong electrical engineering skills but differ in design focus and application environments.

Infographic showing various Asic Design Ai job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $150,195 per year, or $72.2 per hour.

Senior ASIC Design Engineer - Agentic AI

Santa Clara, CA • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

Full-time

Re-posted 13 days ago


Key responsibilities

  • Document and deliver design guidelines to help the ASIC team implement high performance, area and power efficient RTL to meet design targets and specifications.

  • Develop agentic AI solutions to craft micro-architecture, implement RTL, and deliver a fully verified, synthesis/timing clean design.

  • Collaborate with other designers, tool and flow owners to ensure design guidelines and agentic solutions meet their requirements.


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

NVIDIA is seeking ASIC Design Engineers with experience in agentic AI to help design and implement the world's leading SoC's and GPU's. As part of NVIDIA's "AI for 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 industry. This position offers the opportunity to have a real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence.

We have crafted a team of exceptional people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. Our team operates at the intersection of research, engineering, and product development, transforming innovative ideas and research breakthroughs into real-world solutions. If you're passionate about the latest research and cutting-edge technologies shaping generative AI, this role and team offer a great opportunity to be at the forefront of innovation.

What you'll be doing: As a member of the GPU Design Methodology team, you will document and deliver design guidelines that will help the ASIC team implement high performance, area and power efficient RTL to achieve design targets and specifications. As part of the AI for Chip Design team, you will develop agentic AI solutions to craft the micro-architecture, implement the RTL, and deliver a fully verified, synthesis/timing clean design. Collaborate and coordinate with other designers as well as tool and flow owners to make sure design guidelines and agentic solutions meet their requirements.

Make a difference by using AI technologies to tackle complex problems in chip design, driving innovation and meaningful impact across the industry. Drive impact by designing and deploying LLM-powered solutions for engineering assistants and multi-turn, multi-modal dialogue systems. Stay ahead by engaging with the latest advancements in machine learning and AI to create powerful solutions.

What we need to see: Master's or PhD degree in Electrical Engineering, Computer Science/Engineering, or a related field (or equivalent experience). 8+ years of meaningful work experience. Experience in micro-architecture and RTL development (Verilog) in complex designs.

Deep understanding of ASIC design flow including RTL design, verification, logic synthesis and timing analysis. Exposure to Digital systems and VLSI design, Computer Architecture, and Computer Arithmetic is required. Proficiency in rapid prototyping using Python with strong foundational knowledge of data structures, algorithms, and software engineering principles.

Experience with fine-tuning large language models, building advanced multi-agent systems, RAG pipelines and vector databases. Strong analytical, communication, and interpersonal skills, with a proven track record to thrive in dynamic, product-focused, and distributed teams. A proactive approach to problem-solving and a willingness to acquire new skills and knowledge as needed to achieve results.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking people in the world working for us. We inspire our engineers to build solutions for the problems faced by our customers.

Are you creative. Do you love the challenge of continuously crafting the fastest, most efficient GPUs while driving innovation across multiple fields. If so, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 30, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.


What Nvidia employees say

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US