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Synopsys

Sr. Staff AI Full Stack Engineer

Canada Off-Site, Canada Off-Site Office, Canada

Posting language: English
Posted: Apr 17, 2026

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Original job description

General Information

Job Title

Sr. Staff AI Full Stack Engineer

Job ID

17046

Country

Canada

City

Canada Off-Site

State/Province

Canada Off-Site Office

Date Posted

17-Apr-2026

Job Category

Engineering

Job Subcategory

Hire Type

Employee

Remote Eligible

Descriptions & Requirements

Job Description and Requirements

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are:

You are a passionate engineer who thrives in fast-paced, innovative environments. You have a deep understanding of software engineering principles and a strong command of Python, with the ability to architect, build, and maintain distributed systems and AI/ML solutions. Your experience spans backend and frontend development, and you are comfortable leading technical decisions, mentoring junior engineers, and collaborating with cross-functional teams. You believe in the power of generative AI to transform industries, and you stay ahead of the curve on emerging technologies. Your problem-solving skills are matched by your commitment to quality and scalability, and you foster a culture of learning and innovation wherever you go. You are driven by impact, eager to contribute to strategic projects, and motivated to help shape the future of AI at Synopsys. You value diversity, inclusion, and teamwork, and you bring both technical excellence and leadership to every project you undertake. You are ready to take on complex challenges and help Synopsys push the boundaries of what's possible in AI and software engineering.

What You’ll Be Doing:

Leading the design and development of distributed systems, APIs, microservices, and cloud-native AI/ML solutions.
Driving architectural decisions to ensure scalability, reliability, security, and performance across platforms.
Providing technical leadership on multiple projects and influencing engineering strategy.
Hands-on coding across backend and frontend systems using modern frameworks and technologies.
Mentoring junior engineers through code reviews, architecture reviews, design discussions, and technical problem-solving.
Applying the latest advancements in AI and ML to enhance existing systems and develop innovative new solutions.
Fostering a collaborative engineering culture focused on learning, quality, and innovation.

The Impact You Will Have:

Accelerate Synopsys’ adoption of Generative AI technologies across products and platforms.
Shape the engineering strategy and best practices for AI/ML integration company-wide.
Enable scalable, reliable, and secure AI solutions that power industry-leading products.
Mentor and upskill junior engineers, strengthening the overall technical expertise of the team.
Drive cross-functional collaborations that unlock new capabilities and opportunities.
Help establish Synopsys as a leader in advanced AI/ML engineering and innovation.

What You’ll Need:

Advanced proficiency in Python programming for both backend and full stack development.
Experience with cloud platforms such as AWS, GCP, and Azure, including containerization with Docker and Kubernetes.
Working knowledge of Generative AI, LLM-powered applications, and machine learning frameworks.
Strong understanding of distributed systems, microservices architecture, and API design.
Ability to lead architectural decisions and provide technical guidance across projects.

Who You Are:

Excellent problem-solving and analytical abilities.
Strong communication and interpersonal skills for effective collaboration.
Ability to work both independently and as part of a diverse team.
Demonstrated leadership and mentorship capabilities.
Adaptable, proactive, and committed to continuous learning and innovation.

The Team You’ll Be A Part Of:

You will join Synopsys’ Generative AI Centre of Excellence - a dynamic team at the forefront of establishing technology strategies and foundational platforms to advance Generative AI across the company. The team collaborates closely with business groups and corporate functions, pushing the AI roadmap forward and delivering innovative solutions that enhance Synopsys’ products and services. You will work alongside talented engineers, data scientists, and AI experts committed to driving excellence and shaping the future of AI technologies.

Synopsys Canada ULC values the diversity of our workforce. We are committed to provide access & opportunity to individuals with disabilities and will provide reasonable accommodation to individuals throughout the recruitment and employment process. Should you require an accommodation, please contact hr-help-canada@synopsys.com.

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More about this job

Responsibilities

Lead the design and development of distributed systems, microservices, and cloud-native AI/ML solutions. Drive architectural decisions and provide technical leadership to mentor junior engineers and influence engineering strategy.

Requirements

Requires advanced proficiency in Python and experience with cloud platforms like AWS, GCP, or Azure. Candidates must have a strong understanding of distributed systems, generative AI, and machine learning frameworks.

Skills

Python
Distributed systems
Artificial intelligence
Machine learning
Cloud computing
AWS
GCP
Azure
Docker
Kubernetes
Microservices
API design
Generative AI
LLM
Software architecture
Technical leadership

Visa sponsorship

Not detected in the job text

Keywords

Python
Distributed systems
Artificial intelligence
Machine learning
Cloud-native
AWS
GCP
Azure
Docker
Kubernetes
Microservices
API design
Generative AI
LLM
Software engineering
Scalability
Reliability
Security
Technical leadership
Mentorship
Silicon chips
IP integration
Chip design
Verification
Data science
Engineering strategy
Performance optimization
Cross-functional collaboration
Innovation
Full stack development

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