Senior AI Engineer (Mississauga)

General Information

Descriptions & 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 highly skilled and motivated Gen AI Platform Engineer with a passion for leveraging modern architectures, tools, and technologies. You excel in designing and developing scalable, modular solutions that enhance the efficiency and effectiveness of R&D efforts. Your deep understanding of distributed computing, cloud services, and container technologies allows you to create robust and secure platforms. You are collaborative, with excellent problem-solving and organizational skills. Your ability to incorporate AI and machine learning into your work sets you apart, and you are always looking to stay ahead of industry trends. Your effective communication skills enable you to work effectively with cross-functional teams and stakeholders, ensuring that user feedback is incorporated into the development process. 

What You will Be Doing: 

Platform Enablement:  

• Develop and maintain AI/ML lifecycle tools for data preparation, training, validation, deployment, and monitoring 
• Collaborate with ML and R&D engineers across Synopsys to optimize workflows 
• Host and manage R&D development GenAI models to meet application inferencing requirements 
• Enable RAG integration for internal GenAI platform applications 
• Implement security guardrails, rate limiting, and user authentication for GenAI assets 
• Train internal/external customers on building advanced GenAI applications using RAG, agentic workflows, and cloud technologies 
• Evaluate and benchmark model performance for both on-premise and cloud-hosted environments
• Collaborating with cross-functional teams to understand their needs and incorporate user feedback into the platform's development. 
• Establishing and Implementation of best practices for modern software architecture, including microservices, serverless computing, and API-first strategies and CI/CD. 
• Driving the strategy for containerization and orchestration using Docker, Kubernetes, or equivalent technologies. 
•  Developing Cloud native solutions for GenAI apps including Helm development, CRD, working with Kubernetes APIs, Storage class, PVCs, Services, Ingress controllers etc.
• Handson Kubernetes monitoring Architecture including building Grafana dashboards, custom metrics, autoscaling etc.
• Hands on GPU Administration   on Kubernetes including monitoring, multi-instance GPU etc.

• Incorporating AI and machine learning capabilities into the platform to facilitate smarter workflows and predictive analytics. 

The Impact You Will Have: 

• Enhancing the efficiency and effectiveness of our R&D product development processes. Keeping our products at the forefront of the industry through the adoption of advanced technologies. 
• Promoting reuse and integration across our diverse product suites. 
• Promoting Automation of various applications build processes.
• Play a key role in cloud native and AI native transformation journey of legacy ML application stacks.
• Facilitating smarter workflows and predictive analytics through AI and machine learning.
• Ensuring the robustness, security, and compliance of our Gen AI platform infrastructure.
• Driving innovation and continuous improvement within the GenAI engineering team.

What You will Need: 

• Bachelor's or Master's degree in computer science, Engineering, or a related field.
• A minimum of 2-3 years of experience in software development. 
• Strong development experience in Go (highly preferred) Python. Model management, etc,.
• Deep understanding of distributed computing, CAP theorem, and system design tradeoffs. 
• Proven expertise in cloud computing services (AWS, Azure, GCP), container technologies (Docker, Kubernetes). 
• Linux Foundation certifications: CKA/CKAD (is desirable).
• Experience with Generative AI, along with a working knowledge of various aspects such as GPUs, models, inference serving, and LLM Gateways, is highly desirable. 
• Familiarity with AI/machine learning frameworks and tools, coupled with a keen interest in staying updated with emerging innovations, is also greatly valued.
• Background in working with CI/CD pipelines and familiarity with modern software delivery ecosystem (GitHub Actions, Azure DevOps, Harness.io, GitLab CI, etc.). 

• Excellent problem-solving, organizational, and leadership skills. 
• Effective communication abilities to effectively collaborate with internal teams and stakeholders. 

Who You Are: 

• A proactive and self-motivated individual.
• A creative thinker with strong problem-solving skills.
• Highly organized and detail oriented. 
• A team player with excellent interpersonal skills. 
• Adaptable and able to thrive in a fast-paced environment.

The Team You Will Be a part of: 

You will be part of the Synopsys GenAI Platform Enablement Team, which focuses on enabling and transforming our R&D products through the adoption of advanced cloud, containerization, microservices, modern software delivery, and AI technologies. The team is dedicated to ensuring our products remain at the forefront of the industry by leveraging innovative tools and methodologies. 

Synopsys Canada ULC values the diversity of our workforce. We are committed to providing 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. 

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.