Sr. Technical Staff Engineer - AI Systems
Sr. Technical Staff Engineer - AI Systems
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Are you looking for a unique opportunity to be a part of something great Want to join a 20000member 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 multibillion 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. Microchips nationallyrecognized Leadership Passage Programs support career growth where we proudly enroll over a thousand people annually. We take pride in our commitment to employee development valuesbased 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 its 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!
Job Description:
Overview:
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 crossfunctional teams to drive innovation and operational excellence. The ideal candidate will possess a deep understanding of AI systems exceptional problemsolving abilities and a proven track record of implementing AIdriven solutions to enhance operational performance.
Key Responsibilities:
Develop and implement AI strategies to optimize operational efficiency across engineering teams
Lead endtoend 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 crossfunctional 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 AIrelated 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.
Requirements/Qualifications:
Required Skills and Experience:
Advanced degree (Masters or Ph.D.) in Computer Science Computer Engineering Artificial Intelligence Machine Learning or a related field.
Minimum of 10 years of handson 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 scikitlearn) 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 problemsolving and communication skills
Desired Skills and Experience:
Familiarity with RTL Verilog and ASIC development life cycle
Experience working in a fastpaced hightech environment
Optimize opensource AI frameworks and libraries for highperformance computing on specialized hardware
Design implement and validate new AI algorithms and models for enterprisescale 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.
Travel Time:
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 6month 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 $107000$226000.**Range is dependent on numerous factors including job location skills and experience.
To all recruitment agencies: Microchip Technology Inc. does not accept unsolicited agency resumes. Please do not forward resumes to our recruiting team or other Microchip employees. Microchip is not responsible for any fees related to unsolicited resumes.
Required Experience:
Staff IC
Employment Type
Full-Time
