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About the Role
NVIDIA is seeking a Performance Engineering Manager to lead a team focused on understanding, measuring, and enhancing performance across critical computing platforms and workloads. This role involves guiding experienced engineers at the intersection of hardware, software, applications, and system performance, influencing product direction and establishing performance priorities.
Responsibilities
- 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.
- 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.
Requirements
- 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.
- 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.
Skills
- Performance analysis
- Benchmarking
- Workload characterization
- System-level debugging
- Scripting
- Software development for automation
- Data analysis
- Engineering tools
- GPU architecture
- Computer architecture
- System-level performance bottlenecks
- Benchmark methodologies
- Performance automation
- Large-scale performance data and analysis pipelines
Location
- Global
Work Type
- Full-time
Experience Level
- 8+ years overall relevant experience
- 2+ years management or technical leadership experience
Education Level
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related technical field, or equivalent experience.
Salary/Compensations
- 200,000 CAD - 250,000 CAD
Benefits
- Equity
- Comprehensive benefits package
About the Company
- NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years.
- NVIDIA is tapping into the unlimited potential of AI to define the next era of computing.
- NVIDIA's GPU acts as the brains of computers, robots, and self-driving cars that can understand the world.
- NVIDIA offers a diverse, supportive environment where everyone is inspired to do their best work.
Equal Opportunity
- NVIDIA uses AI tools in its recruiting processes.