Senior Level Front-End AI Engineer Jobs
Senior level front-end ai engineer jobs place experienced engineers in charge of architectural decisions, AI integration strategy, and the cross-functional teams that ship production-grade features. Openings concentrate across Technology & Software, Consulting & Professional Services, and Manufacturing, with a strong mix of remote and hybrid positions, and employers like Rippling, KLA, and Apple hiring at this level now.
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Date posted 11/08/2026
Category Engineering
Hire Type Employee
Job ID 18967
Base Salary Range $193200-$289800
Remote Eligible No
Date Posted 11/08/2026
We Are
Synopsys is a leader in silicon-to-systems engineering solutions, helping customers accelerate innovation in AI-driven products through industry-leading EDA, IP, and design solutions.
You Are
As a Principal Front-End Design Engineer, you will lead methodology, subsystem architecture, and AI-enabled design innovation across IP and SoC development. You will build scalable design solutions, improve engineering productivity, and drive best practices across global teams.
What You'll Be Doing
- Develop and deploy AI-driven solutions for verification, synthesis, constraints, and DFT workflows.
- Architect reusable subsystem reference designs for Synopsys IP.
- Debug and optimize front-end design methodologies and automation flows.
- Drive adoption of best practices across design and verification teams.
- Collaborate with EDA, IP, and customer-facing engineers to solve complex design challenges.
- Mentor engineers through technical leadership and knowledge sharing.
- BS/MS in Electrical Engineering, Computer Engineering, or related field.
- 10+ years of ASIC, SoC, or IP design and verification experience.
- Expertise in verification, synthesis, timing constraints, DFT, CDC/RDC, or lint methodologies.
- Strong experience with Synopsys tools such as VCS, VC SpyGlass, Fusion Compiler, Design Compiler, and TestMAX.
- Proficient in SystemVerilog, UVM, Tcl, Python, or similar languages.
- Demonstrated technical leadership and influence across cross-functional engineering teams.
What Sets You Apart
- Deep understanding of IP reuse, subsystem integration, and SoC development.
- Passion for using AI to improve design productivity and quality.
- Strong problem-solving, communication, and mentoring skills.
- Ability to translate complex technical challenges into scalable, practical solutions.
The Team You'll Be Part Of
You will be a member of the Digital Methodology Interop Engineering team, a team of engineers dedicated to advancing IP and subsystem design excellence at Synopsys. The team collaborates across global sites, driving innovation in methodology, tool integration, and best practices. You will help shape the future of SoC design with Synopsys IP.
Rewards and Benefits
We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.
At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.
In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can...
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Who's Hiring



Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
- Manufacturing
- Electronics & Hardware
Senior Level Front-End AI Engineer Jobs: Frequently Asked Questions
How do I get a senior level front-end ai engineer job?
Employers at this level want candidates who have owned end-to-end AI-powered feature development, not just contributed to it. Demonstrate experience integrating large language models or generative AI into production front-end systems, leading technical design reviews, and mentoring junior engineers. A portfolio showing measurable impact, architectural decisions you drove, and cross-team collaboration will consistently set you apart from other applicants.
Which companies hire senior level front-end ai engineers?
Companies hiring senior level front-end ai engineers right now include Rippling, KLA, and Apple, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to come from product-led technology companies, enterprise software firms, and AI-native startups that are scaling their front-end AI capabilities and need engineers who can lead that work independently.
Are there remote senior level front-end ai engineer jobs?
Yes, and remote availability is notably strong at this level. About 17% of senior level front-end ai engineer openings are remote or hybrid as of November 2026, reflecting employer confidence in deploying senior contributors outside a central office. Many companies specifically seek senior engineers for distributed teams because the experience level reduces the need for close in-person oversight.
What makes a front-end ai engineer role senior level?
Senior level roles are defined by ownership and scope rather than task execution. At this stage, you are expected to set the technical direction for AI-driven front-end systems, evaluate and select frameworks and models, establish coding standards, and guide less experienced engineers through complex implementations. You are accountable for outcomes across an entire product surface, not just individual features or tickets.
Which industries hire the most senior level front-end ai engineers?
Senior Level front-end ai engineer roles concentrate in Technology & Software, Consulting & Professional Services, and Manufacturing, based on current listings on Migrate Mate as of November 2026. These sectors are investing heavily in AI-enhanced user experiences and need senior engineers who can translate emerging model capabilities into reliable, scalable, and accessible front-end products at speed.