Validation Engineer

12 Months Contract (T4)
Markham, ON, CANADA

System Design Engineer (Lab Management and Validation) – Contract
Location: Markham, Canada
Department: Engineering
Role Overview
The System Design Engineer will assist the Platform GPU Validation Lab Management team in organizing, operating and maintaining a lab environment suitable for GPU Validation activities, with specific setups for each IP group as well as engaging with cross-functional teams in hardware (design, architecture) and software (drivers, SBIOS/VBIOS, diagnostics, tools) to establish, document, and review the deliverables/requirements for the GPU verification efforts.

Key Responsibilities

• Source, track, and distribute silicon for testing
• Maintain and audit lab assets to ensure operational efficiency and compliance with health and safety standards
• Recommend optimal lab space design and initial setup for compliance and functionality
• Configure and build PC platforms tailored to specific IP groups
• Procure and distribute hardware/software required for lab operations
• Train teams on specialized testing equipment (e.g., oscilloscopes, data analyzers)
• Developing knowledge of system architecture/debug and other IP's
• Conducting qualification and validation work based on test plan, use cases, and technical requirements
• Debug of issues found during pre-silicon, bring up, validation, and production phases of SOC programs
• Working closely with supporting teams in design, diagnostics, emulation, firmware, and driver to ensure readiness for first silicon arrival, enablement of functionality, and debug of critical features.
• Leading collaborative technical discussions to drive resolution on technical issues and roll out technical initiatives

• Strong programming/scripting skills (eg. C/C++, Perl, Ruby, Python)
• Experience with common lab equipment, including protocol/logic analyzers, oscilloscopes, etc.
• Experience with board/platform-level debug
• Knowledge of physical and protocol levels of common high-speed interfaces an asset
• Knowledge of PC architecture is an asset
• Must have excellent written and verbal communication skills
• Must excel in a dynamic team working environment
• Leadership and mentoring skills are a definite asset
• Project management skills, including planning, execution, and reporting
• Must be a self-starter and be able to independently drive tasks to completion
• Experience in machine learning, data science, computer vision and statistics
• Ability to be flexible in terms of responsibilities

• Bachelors or Masters Degree in Electrical or Computer Engineering, or Related Field