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AI - Staff Engineer (Mississauga)
Job Summary:
Synopsys’ Generative AI Center of Excellence defines the technology strategy to advance applications of Generative AI across the company. The GenAI COE pioneers the core technologies – platforms, processes, data, and foundation models – to enable generative AI solutions, and partners with business groups and corporate functions to advance AI-focused roadmaps.
We are seeking a highly skilled and experienced Staff AI Engineer to join our dynamic and innovative team. As a Staff AI Engineer, you will play a critical role in designing, developing, and deploying advanced AI and machine learning solutions. You will collaborate with cross-functional teams to drive AI initiatives and contribute to the development of cutting-edge technologies that enhance our products and services. This role demands a deep understanding of generative AI algorithms, strong programming skills, and the ability to lead and mentor junior engineers.
Key Responsibilities:
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.
Inclusion and Diversity:
Synopsys considers all applicants for employment without regard to race, color, religion, sex, gender preference, national origin, age, disability, or status as a Covered Veteran in accordance with federal law.
Job Summary:
Synopsys’ Generative AI Center of Excellence defines the technology strategy to advance applications of Generative AI across the company. The GenAI COE pioneers the core technologies – platforms, processes, data, and foundation models – to enable generative AI solutions, and partners with business groups and corporate functions to advance AI-focused roadmaps.
We are seeking a highly skilled and experienced Staff AI Engineer to join our dynamic and innovative team. As a Staff AI Engineer, you will play a critical role in designing, developing, and deploying advanced AI and machine learning solutions. You will collaborate with cross-functional teams to drive AI initiatives and contribute to the development of cutting-edge technologies that enhance our products and services. This role demands a deep understanding of generative AI algorithms, strong programming skills, and the ability to lead and mentor junior engineers.
Key Responsibilities:
- AI/ML Solution Development: Design, develop, and deploy AI and machine learning models and algorithms to solve complex business problems.
- Technical Leadership: Provide technical leadership and mentorship to junior engineers and data scientists, guiding them in best practices and advanced techniques.
- Research & Innovation: Stay up to date with the latest advancements in AI and machine learning technologies and apply them to improve existing systems or develop new solutions.
- Collaboration: Work closely with product managers, software engineers, and other stakeholders to define project requirements, create technical specifications, and ensure successful implementation of AI solutions.
- Data Analysis & Preprocessing: Perform data analysis, data preprocessing, and feature engineering to prepare datasets for machine learning models.
- Model Training & Evaluation: Train, validate, and fine-tune machine learning models, ensuring they meet performance and accuracy requirements.
- Deployment & Monitoring: Deploy AI models into production environments, and monitor their performance, making adjustments as necessary to maintain optimal operation.
- Documentation: Document AI models, algorithms, and methodologies to ensure reproducibility and knowledge sharing within the team.
- Compliance & Ethics: Ensure AI solutions adhere to ethical guidelines, data privacy regulations, and industry standards.
- Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical Engineering, or a related field. PhD is a plus.
- Experience: Minimum of 5 years of experience in AI and machine learning, with a proven track record of deploying AI solutions in a production environment.
- Strong proficiency in programming languages such as Python, or C++.
- Extensive experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of statistical analysis, data mining, and data visualization techniques.
- Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker, Kubernetes).
- Familiarity with version control systems (e.g., Git) and software development methodologies (e.g., Agile, Scrum).
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills.
- Ability to work independently and as part of a team.
- Proven leadership and mentorship abilities.
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.
Inclusion and Diversity:
Synopsys considers all applicants for employment without regard to race, color, religion, sex, gender preference, national origin, age, disability, or status as a Covered Veteran in accordance with federal law.
Key Skills
Ranked by relevance
ai
machine learning
data visualization
containerization
data analysis
data mining
kubernetes
tensorflow
pytorch
python
docker
cloud
scrum
git
aws
gcp
c
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- Posted
- May 31, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Mississauga
- Company
- Synopsys Inc
Industries
Semiconductor Manufacturing
Software Development
Computer Hardware Manufacturing
Categories
Design
Consulting
Engineering
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Site Reliability Engineer
2026-04-10
Full-time
Associate
Poland
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Information Technology
View Job Details
Related
Senior Backend Engineer .NET & Azure Cloud
2026-04-11
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Engineering
View Job Details
Related
Machine Learning Engineer
2026-04-10
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Engineering