Sr Principal Engineer - AI/ML System Architect

AESI; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

An innovative firm is seeking a Sr Principal Engineer System Architect specializing in AI/ML. This remote role involves leading a multi-disciplinary team to design and implement complex AI/ML infrastructure solutions. You will engage with customers and partners, ensuring high-quality design metrics and effective communication. The position offers the opportunity to work on cutting-edge technology and participate in industry standards. If you have a passion for AI/ML and extensive experience in hardware design, this is your chance to make a significant impact in a dynamic environment.

Benefits

Full benefit package

Remote work flexibility

International travel opportunities

Qualifications

• 15+ years in server/AI/ML hardware design with a focus on system architecture.
• Experience in leading technical teams and customer interactions.

Responsibilities

• Define AI/ML infrastructure solutions and lead implementation teams.
• Prepare technical presentations and maintain industry relationships.

Skills

AI/ML infrastructure design

Server hardware design

Customer presentation skills

Digital and analogue components knowledge

System-level design integration

Tools

Nvidia GPU

AMD GPU

Intel GPU

Job description

Albin Engineering Services, Inc. (www.aesi.com) is looking for a Sr Principal Engineer System Architect - AI/ML. This position is 100% remote. As their employee, you qualify for their full benefit package.

Job Responsibilities:

• Define complex AI/ML infrastructure platform solutions and lead a multi-disciplined team to bring them to implementation. Ensure overall design quality metrics are met.
• Develop and maintain close technical relationships with suppliers/partners on product roadmaps and technologies.
• Lead RFQ technical responses and platform concept development efforts as appropriate.
• Provide effective trade-off analysis and competitive guidance to engineering teams and customers.
• Deliverables include System Requirements Documents (SRD), requirement compliance assessments, and technical proposals.
• Act as a primary technical interface between us and our customers, particularly in technical escalation.
• Provide technical support to business development teams to assist in winning new business.
• Participate in the selection and hiring of design team resources as required.
• Identify and champion process improvement efforts as needed.
• Participate in standards committees and industry groups as assigned.
• Prepare and present technical presentations to customers, industry groups, tradeshows, etc.
• Maintain current knowledge of industry trends and future technology and market opportunities.

Job Requirements:

• 15+ years of server and/or AI/ML accelerator hardware design experience.
• 5 years of AI infrastructure system design experience.
• Experience with Nvidia, AMD, Intel, or other modern GPU accelerators and support systems.
• Successful experience architecting and delivering server/storage/converged products to market.
• Excellent customer presentation skills; interface and interact with large OEM customers on ongoing product-related issues and new product design concepts.
• A broad knowledge of current digital and analogue components.
• Successful New Product Introduction (NPI) launch.
• Extensive knowledge of system-level power, cooling, mechanical, SW/FW, and electrical design integration and engineering trade-offs.

Desired Skills:

• Prior participation in industry groups and associations.
• System level integration, interoperability, and test experience.
• System level manufacturing test experience.

Travel:

• International travel required, approximately 4-6 trips per year.
• Domestic travel to support customer and internal meetings as required.

Location: This is a remote position, with travel as necessary. We are open to considering candidates close to any of our US locations in Massachusetts, Pennsylvania, Minnesota, Texas, Arizona, Oregon, or California, as well as locations near major airports such as the Northeast, Southeast, Midwest, and Pacific Coast.