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About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
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1623 open roles
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The Senior Performance Analysis Platform Lead joins the Developer Tools team to guide architecture, compatibility, and integration across profiling services. This hands-on role involves setting technical direction for a secure, reliable, and extensible performance-analysis platform while aligning product goals across frontend, backend, data, security, and infrastructure teams. You will lead end-to-end design for complex capabilities, implement cross-boundary work, and establish engineering standards for quality and operational readiness. The role requires deep expertise in backend platforms, distributed systems, and production software. You must demonstrate proficiency in evolving APIs, events, saved state, and stored data while managing asynchronous failure modes. Key competencies include real-time collaboration, analytical services, workflow orchestration, and the ability to trace user workflows across browser and backend behaviors to ensure durable fixes.
Set the technical direction for a secure, reliable, and extensible performance-analysis platform.
Align product goals and engineering decisions across frontend, backend, data, security, and infrastructure teams.
Lead end-to-end design and integration for complex capabilities spanning multiple ownership areas.
Implement difficult cross-boundary work to validate key decisions and unblock delivery.
Establish engineering standards for compatibility, quality, performance, and operational readiness.
Mentor senior engineers and clarify ownership to drive product outcomes from design through release.
Trace user workflows across browser and backend behaviors to diagnose failures and guide durable fixes.
What we're looking for
BS or MS degree in Computer Engineering, Computer Science, or a related field or equivalent experience.
12+ years of experience building and operating production software, including technical leadership for complex products or major platform capabilities.
Deep hands-on expertise in backend platforms or distributed systems with strong production ability in at least one language.
Experience evolving APIs, events, saved state, or stored data without breaking existing users or deployments.
Practical knowledge of asynchronous failure modes, real-time collaboration, analytical services, secure multi-user products, or workflow orchestration.
Ability to trace user workflows across browser and backend behavior to diagnose failures and guide engineers toward durable fixes.
Demonstrated ability to mentor senior engineers, negotiate technical tradeoffs, and maintain clear ownership while driving integrated outcomes.
Background in performance analysis, developer tools, observability, or collaborative analytical products (preferred).
SQL
Python
R
Data Science
Machine Learning
Generative AI
Data Engineering
Data Pipelines
Relational Databases
Tableau
Alteryx
Data Visualization
System Design
Statistical Significance
Funnel Analysis
AI Systems
Computer Architecture
Performance Modeling
High-Performance Computing
Distributed Systems
Python
C++
CUDA
Triton
ROCm
HIP
Data Parallelism
HBM
PCIe
Compilers