What you'll be doing
Lead, develop, and grow a team of performance engineers responsible for benchmarking, performance characterization, data analysis, automation, and product readiness!
Define performance priorities, methodologies, and execution plans while building strong working relationships with engineering, product, and business teams across NVIDIA's global sites and time zones.
Guide the development of benchmarks, workloads, test methodologies, and automation used to evaluate current and future NVIDIA platforms.
Provide technical direction for complex performance investigations spanning GPUs, CPUs, memory, storage, networking, operating systems, drivers, applications, and AI workloads.
Review performance data and methodology to ensure results are accurate, reproducible, and supported by rigorous analysis.
Drive investigations of performance regressions and opportunities, partnering across hardware and software teams to identify root causes and potential solutions.
Translate complex performance results into clear conclusions and recommendations that influence product development, software optimization, competitive analysis, and future performance requirements.
Coach and develop engineers while evolving Performance Engineering capabilities across Consumer, Enterprise, Physical AI, Robotics, and other emerging platforms and workloads.
What we need to see
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent experience.
8+ overall years of relevant experience in performance engineering, systems engineering, software engineering, computer architecture, or a related technical discipline, including 2+ years of management or technical leadership experience.
Demonstrated experience leading and developing engineers while delivering complex technical projects across multiple teams.
Strong understanding of computer systems and the interactions between hardware, software, operating systems, applications, and workloads.
Experience with performance analysis, benchmarking, workload characterization, or system-level debugging.
Strong technical judgment with the ability to guide investigations, evaluate methodology, and draw sound conclusions from complex or incomplete data.
Familiarity with scripting or software development for automation, data analysis, or engineering tools.
Excellent written and verbal communication skills, with demonstrated ability to collaborate effectively across organizations, geographic locations, and time zones, and communicate complex technical findings to engineering teams, business partners, and senior leaders.
Ways to stand out from the crowd
Hands-on performance engineering experience with the ability to mentor engineers through benchmarking, analysis, debugging, automation, and performance investigations.
Experience with GPUs, accelerated computing, AI workloads, graphics, professional visualization, Physical AI, Robotics, or high-performance computing.
Deep understanding of GPU architecture, computer architecture, and system-level performance bottlenecks.
Experience developing benchmark methodologies, performance automation, or large-scale performance data and analysis pipelines.
Experience working with preproduction hardware and translating performance analysis into product recommendations or longer-term engineering priorities.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 200,000 CAD – 250,000 CAD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
