Manager, Performance Engineering

Role overview

What you'll do

• Lead and develop performance engineers working on benchmarking, characterization, analysis, automation, and product readiness.
• Set performance priorities, methodologies, and execution plans with engineering, product, and business teams.
• Guide benchmark, workload, test-methodology, and automation development for current and future platforms.
• Direct investigations across GPUs, CPUs, memory, storage, networking, operating systems, drivers, applications, and AI workloads.
• Review data and methodology for accuracy, reproducibility, and rigorous analysis.
• Investigate regressions and improvement opportunities with hardware and software teams; identify root causes and solutions.
• Communicate findings and recommendations for product development, software optimization, competitive analysis, and future performance requirements.
• Coach engineers and develop capabilities across Consumer, Enterprise, Physical AI, Robotics, and emerging workloads.

What we need to see

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related technical field, or equivalent experience.
• At least 8 years of relevant experience in performance engineering, systems engineering, software engineering, computer architecture, or related technical work.
• At least 2 years of management or technical leadership experience.
• Experience leading and developing engineers and delivering complex projects across teams.
• Strong understanding of interactions among hardware, software, operating systems, applications, and workloads.
• Experience with performance analysis, benchmarking, workload characterization, or system-level debugging.
• Technical judgment to guide investigations, evaluate methodology, and draw conclusions from complex or incomplete data.
• Familiarity with scripting or software development for automation, data analysis, or engineering tools.
• Strong written and verbal communication and ability to collaborate across organizations and communicate complex findings.

Ways to stand out

• Hands-on performance engineering experience mentoring others through benchmarking, analysis, debugging, automation, and investigations.
• Experience with GPUs, accelerated computing, AI workloads, graphics, professional visualization, Physical AI, Robotics, or high-performance computing.
• Deep understanding of GPU and computer architecture and system-level performance bottlenecks.
• Experience with benchmark methodologies, performance automation, or large-scale performance data pipelines.
• Experience with preproduction hardware and translating analysis into product recommendations or longer-term priorities.

Compensation

• Base salary range is 200,000 CAD to 250,000 CAD; the amount is determined by location, experience, and comparable employee pay.
• The position is eligible for equity and benefits.

Posting details

• Applications are accepted at least until October 17, 2026.
• This posting is for an existing vacancy.
• NVIDIA uses AI tools in its recruiting processes.