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Professional Vlsi Engineer Jobs (NOW HIRING)

Micron

Semiconductor Design Engineer

Boise, ID

Position requires: 1. VLSI; 2. CMOS device and process; 3. Verilog/System Verilog; 4. DFT modes and ... professional growth. Micron benefits are designed to help you stay well, provide peace of mind and ...

Micron

ENGINEER, DEMQRA AUTOMOTIVE PQRE

Manassas, VA · On-site

$72K - $93K/yr

Knowledge of DRAM, NAND, VLSI (Very Large Scale Integration), semiconductor physics, and ... professional growth. Micron benefits are designed to help you stay well, provide peace of mind and ...

Micron Technology

Computer Engineer, CE

Boise, ID · On-site

$106K - $125K/yr

Background in VLSI, IC design, or CAD tools for schematic, layout, simulation, or verification ... professional growth. Micron benefits are designed to help you stay well, provide peace of mind and ...

Micron

Computer Engineer, CE

Boise, ID

$106K - $125K/yr

Background in VLSI, IC design, or CAD tools for schematic, layout, simulation, or verification ... professional growth. Micron benefits are designed to help you stay well, provide peace of mind and ...

Micron

Computer Engineer, CE

Boise, ID

$106K - $125K/yr

Background in VLSI, IC design, or CAD tools for schematic, layout, simulation, or verification ... professional growth. Micron benefits are designed to help you stay well, provide peace of mind and ...

Micron Technology

Computer Engineer, CE

Boise, ID · On-site

$106K - $125K/yr

Background in VLSI, IC design, or CAD tools for schematic, layout, simulation, or verification ... professional growth. Micron benefits are designed to help you stay well, provide peace of mind and ...

Micron

DRAM Product Engineer

Manassas, VA

Familiarity with VLSI and semiconductor device physics. * Strong collaboration and teamwork skills ... professional growth. Micron benefits are designed to help you stay well, provide peace of mind and ...

Micron

Engineer - NAND Generators

Boise, ID

... CS including VLSI circuit design and software. 2. Python, C, C++, SKILL, and Java. 3. Unix ... professional growth. Micron benefits are designed to help you stay well, provide peace of mind and ...

Nvidia

Physical Design Engineer

Westford, MA

$141K - $145K/yr

... meaningful, growing and professional environment where you make a significant impact in a ... BSEE / MSEE or equivalent experience. * 3+ years of experience in VLSI physical design ...

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Professional Vlsi Engineer information

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$46.5K

$97.1K

$136.5K

How much do professional vlsi engineer jobs pay per year?

As of Jul 2, 2026, the average yearly pay for professional vlsi engineer in the United States is $97,063.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,500.00 and $110,000.00 per year, depending on experience, location, and employer.
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What cities are hiring for Professional Vlsi Engineer jobs? Cities with the most Professional Vlsi Engineer job openings:
What are the most commonly searched types of Vlsi Engineer jobs? The most popular types of Vlsi Engineer jobs are:
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Professional Vlsi Engineer jobs near you
Infographic showing various Professional Vlsi Engineer job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 29% Full Time, 68% Part Time, and 1% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $97,063 per year, or $46.7 per hour.

Sr. Staff AI Engineer, Silicon Design

Cognichip

Redwood City, CA • On-site

Full-time

Posted 29 days ago

Job description

Job Summary:
Cognichip is seeking a versatile Sr. Staff AI Engineer to drive the integration of Artificial Intelligence into the semiconductor design lifecycle. In this role, you will bridge the gap between advanced ML research and production-grade hardware engineering, developing specialized foundational language models and cognitive orchestration systems that optimize everything from RTL generation to physical verification.
Responsibilities:
• AI System Development: Design and deploy production-scale generative workflows and context-augmented retrieval mechanisms to automate complex EDA tasks, including IP configuration and RTL generation.
• Model Optimization: Architect and fine-tune foundation models (LLMs/SLMs) and other deep learning architectures to enhance the silicon design process.
• Reinforcement Learning: Implement Reinforcement Learning (RL) environments and policy-gradient methods to guide non-linear optimization routines across automated cell-sizing and routing passes.
• End-to-End Flow Integration: Collaborate with R&D and IP teams to embed AI-driven assistants directly into existing digital and analog design flows.
• Scalable Engineering: Build robust, cloud-native training pipelines using Kubernetes and Docker to handle large-scale EDA datasets.
• Technical Leadership: Lead the transition of AI prototypes into reliable tools, ensuring high performance, maintainability, and scalability for thousands of internal users.
Qualifications:
Required:
• Education: M.S. or higher in Electrical Engineering, Computer Science, or a related field with a focus on AI/ML or VLSI.
• Professional Experience: 7+ years of experience in the semiconductor or EDA industry, with a proven track record of deploying AI/ML models in a production capacity.
• Broad EDA Knowledge: Hands-on experience across the full silicon lifecycle (RTL-to-GDS), with specific exposure to Physical Design, Place-and-Route, and Physical Verification (DRC/LVS).
• Software Proficiency: Strong programming skills in Python, C++, and SystemVerilog, along with experience in scripting (Tcl, Shell).
• Machine Learning Stack: Proficiency in PyTorch or TensorFlow, and experience with state-of-the-art framework orchestration, custom inference optimization tools, and model evaluation harnesses.
Preferred:
• Advanced Education: Ph.D. with research specifically focused on AI/ML for EDA and metric modeling.
• Practical Chip Design: Extensive experience with advanced technology nodes (7nm, 5nm, 3nm, or below) and physical verification toolsets (e.g., IC Validator, Calibre).
• Specialized ML: Demonstrated experience in Multi-objective Optimization, Transfer Learning, and the application of machine learning architectures to hardware problems.
• Systems Engineering: Deep expertise in operationalizing GenAI platforms on distributed, multi-GPU cloud environments.
• Hardware Acceleration: Background in optimizing algorithms for FPGA or SoC deployment and hardware-efficient ML implementation.
Company:
Cognichip is an AI-first deep tech company focused on transforming the semiconductor industry by revolutionizing how chips are designed. Founded in 2024, the company is headquartered in Redwood City, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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