AI Engineer - Staff

Synopsys Inc; Mississauga; On-site; CAD 80,000 - 130,000; Full time

Job summary

An innovative firm is seeking a talented AI Engineer to join their GenAI Platform Enablement Team. In this exciting role, you will develop and maintain AI/ML lifecycle tools, collaborate with R&D engineers, and drive the strategy for containerization and orchestration. Your expertise in Go and Python, along with a strong understanding of cloud services and container technologies, will be crucial in enhancing the efficiency of R&D processes. This is a fantastic opportunity to work in a dynamic environment where your contributions will shape the future of technology. If you are passionate about AI and eager to make an impact, this role is for you.

Qualifications

• 5+ years in software development with strong Go and Python skills.
• Experience with cloud services and container technologies.
• Familiarity with AI/ML frameworks and tools.

Responsibilities

• Develop and maintain AI/ML lifecycle tools for data preparation and deployment.
• Collaborate with cross-functional teams to optimize workflows.
• Implement security measures for GenAI assets.

Skills

Go

Python

Distributed Computing

Problem-Solving

Cloud Services (AWS, Azure, GCP)

AI/ML Frameworks

Education

Bachelor's or Master's in Computer Science

Tools

Docker

Kubernetes

CI/CD Pipelines (GitHub Actions, Azure DevOps)

Job description

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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
• Collaborate with cross-functional teams to understand their needs and incorporate user feedback into the platform's development.
• Establish and implement best practices for modern software architecture, including microservices, serverless computing, and API-first strategies and CI/CD.
• Drive the strategy for containerization and orchestration using Docker, Kubernetes, or equivalent technologies.
• Develop cloud-native solutions for GenAI apps including Helm development, CRD, working with Kubernetes APIs, Storage class, PVCs, Services, Ingress controllers, etc.
• Hands-on Kubernetes monitoring architecture including building Grafana dashboards, custom metrics, autoscaling, etc.
• Hands-on GPU administration on Kubernetes including monitoring, multi-instance GPU, etc.
• Incorporate AI and machine learning capabilities into the platform to facilitate smarter workflows and predictive analytics.

The Impact You Will Have:

• Enhance the efficiency and effectiveness of R&D product development processes, keeping products at the industry forefront through advanced technologies.
• Promote reuse and integration across diverse product suites.
• Automate various application build processes.
• Lead cloud-native and AI-native transformation of legacy ML application stacks.
• Facilitate smarter workflows and predictive analytics through AI and machine learning.
• Ensure robustness, security, and compliance of Gen AI platform infrastructure.
• Drive 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.
• At least 5 years of experience in software development.
• Strong development experience in Go (highly preferred) and Python, including model management.
• Deep understanding of distributed computing, CAP theorem, and system design tradeoffs.
• Proven expertise in cloud services (AWS, Azure, GCP), container technologies (Docker, Kubernetes).
• Linux Foundation certifications: CKA/CKAD (desirable).
• Experience with Generative AI, GPUs, models, inference serving, LLM Gateways (highly desirable).
• Familiarity with AI/ML frameworks and tools, with a keen interest in emerging innovations.
• Experience with CI/CD pipelines and modern software delivery ecosystems (GitHub Actions, Azure DevOps, Harness.io, GitLab CI).
• Excellent problem-solving, organizational, and leadership skills.
• Effective communication skills for collaboration with teams and stakeholders.

Who You Are:

• Proactive and self-motivated.
• Creative thinker with strong problem-solving skills.
• Highly organized and detail-oriented.
• 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 join the Synopsys GenAI Platform Enablement Team, focused on enabling and transforming R&D products through advanced cloud, containerization, microservices, modern software delivery, and AI technologies. The team aims to keep products industry-leading by leveraging innovative tools and methodologies.

Synopsys Canada ULC values workforce diversity and is committed to providing access & opportunity to individuals with disabilities, offering reasonable accommodations during recruitment and employment. For accommodations, contact [e-mail].

Additional Details:

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Design, Consulting, and Engineering
• Industries: Semiconductor Manufacturing, Software Development, and Computer Hardware Manufacturing