Sr. Technical Staff Engineer - AI Systems
Microchip Technology Inc.
Date: 3 weeks ago
City: Burnaby, BC
Contract type: Full time

Are you looking for a unique opportunity to be a part of something great? Want to join a 20,000-member team that works on the technology that powers the world around us? Looking for an atmosphere of trust, empowerment, respect, diversity, and communication? How about an opportunity to own a piece of a multi-billion dollar (with a B!) global organization? We offer all that and more at Microchip Technology, Inc.
People come to work at Microchip because we help design the technology that runs the world. They stay because our culture supports their growth and stability. They are challenged and driven by an incredible array of products and solutions with unlimited career potential. Microchip’s nationally-recognized Leadership Passage Programs support career growth where we proudly enroll over a thousand people annually. We take pride in our commitment to employee development, values-based decision making, and strong sense of community, driven by our Vision, Mission, and 11 Guiding Values; we affectionately refer to it as the Aggregate System and it’s won us countless awards for diversity and workplace excellence.
Our company is built by dedicated team players who love to challenge the status quo; we did not achieve record revenue and over 30 years of quarterly profitability without a great team dedicated to empowering innovation. People like you.
Visit our careers page to see what exciting opportunities and company perks await!
Overview
Job Description:
We are seeking a highly skilled and experienced AI Systems Engineer to join our dynamic team. This candidate will play a pivotal role in driving efficiency across all aspects of operations within our support team and tools. As a Senior Technical Staff AI System Engineer, you will architect, develop, and optimize advanced AI systems across a variety of domains. You will lead initiatives to design, implement, and deploy scalable AI solutions, collaborating with cross-functional teams to drive innovation and operational excellence. The ideal candidate will possess a deep understanding of AI systems, exceptional problem-solving abilities, and a proven track record of implementing AI-driven solutions to enhance operational performance.
Key Responsibilities
Required Skills and Experience:
0% - 25%
Pay Range
We offer a total compensation package that ranks among the best in the industry. It consists of competitive base pay, restricted stock units, and quarterly bonus payments. In addition to these components, our package includes health benefits that begin day one, retirement savings plans, and an industry leading IESPP program with a 6-month look back feature. Find more information about all our benefits at the link below:
Benefits of working at Microchip
The annual base salary range for this position is $107,000-$226,000.*
People come to work at Microchip because we help design the technology that runs the world. They stay because our culture supports their growth and stability. They are challenged and driven by an incredible array of products and solutions with unlimited career potential. Microchip’s nationally-recognized Leadership Passage Programs support career growth where we proudly enroll over a thousand people annually. We take pride in our commitment to employee development, values-based decision making, and strong sense of community, driven by our Vision, Mission, and 11 Guiding Values; we affectionately refer to it as the Aggregate System and it’s won us countless awards for diversity and workplace excellence.
Our company is built by dedicated team players who love to challenge the status quo; we did not achieve record revenue and over 30 years of quarterly profitability without a great team dedicated to empowering innovation. People like you.
Visit our careers page to see what exciting opportunities and company perks await!
Overview
Job Description:
We are seeking a highly skilled and experienced AI Systems Engineer to join our dynamic team. This candidate will play a pivotal role in driving efficiency across all aspects of operations within our support team and tools. As a Senior Technical Staff AI System Engineer, you will architect, develop, and optimize advanced AI systems across a variety of domains. You will lead initiatives to design, implement, and deploy scalable AI solutions, collaborating with cross-functional teams to drive innovation and operational excellence. The ideal candidate will possess a deep understanding of AI systems, exceptional problem-solving abilities, and a proven track record of implementing AI-driven solutions to enhance operational performance.
Key Responsibilities
- Develop and implement AI strategies to optimize operational efficiency across engineering teams
- Lead end-to-end machine learning system design, including model development, evaluation, and deployment.
- Lead the integration of AI solutions into existing customer support tools, enterprise software and infrastructure, ensuring seamless deployment and scalability
- Collaborate with cross-functional teams to identify opportunities for AI integration and automation.
- Design, build, and deploy AI models and algorithms to solve complex business problems.
- Monitor and evaluate the performance of AI systems, making necessary adjustments to improve accuracy and effectiveness.
- Provide technical leadership and mentorship to team members on AI-related projects.
- Stay up to date with the latest advancements in AI technology and industry trends.
- Provide technical training on AI ML related technologies
- Ensure compliance with data privacy and security regulations in all AI initiatives.
Required Skills and Experience:
- Advanced degree (Master’s or Ph.D.) in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 10 years of hands-on experience in AI systems development and implementation.
- Proficiency in programming languages such as Python, Java, C, and C++.
- Deep understanding of machine learning algorithms, neural networks, and statistical modeling
- Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Experience with classical machine learning techniques (e.g., XGBoost, scikit-learn) and time series analysis (e.g., Prophet, LSTMs).
- Experience with large language models (LLMs), agentic frameworks, and prompt engineering
- Familiarity with containerization and version control tools like Docker and GitHub.
- Strong understanding of product lifecycle management and production code release processes.
- Strong analytical, problem-solving, and communication skills
- Familiarity with RTL, Verilog and ASIC development life cycle
- Experience working in a fast-paced, high-tech environment
- Optimize open-source AI frameworks and libraries for high-performance computing on specialized hardware
- Design, implement, and validate new AI algorithms and models for enterprise-scale applications
- Understanding of DevOps practices and tools for AI model deployment and monitoring.
- Experience in benchmarking AI ML designs
- Expertise in identifying and collecting appropriate metrics to measure the effectiveness of the AI ML tools
- Expertise in computer vision techniques using OpenCV, TensorFlow, PyTorch, and PyTorch Lightning.
- Proficiency in cloud infrastructure, specifically Azure AI Foundry, Cosmos DB, VNet, Entra ID auth, Blob storage, App Service, AI Search, Azure Monitor & Alerts.
0% - 25%
Pay Range
We offer a total compensation package that ranks among the best in the industry. It consists of competitive base pay, restricted stock units, and quarterly bonus payments. In addition to these components, our package includes health benefits that begin day one, retirement savings plans, and an industry leading IESPP program with a 6-month look back feature. Find more information about all our benefits at the link below:
Benefits of working at Microchip
The annual base salary range for this position is $107,000-$226,000.*
- Range is dependent on numerous factors including job location, skills and experience.
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