Nvidia Senior Engineer Performance - Cloud Software 

United States, Texas 

510454340

What you’ll be doing:

• Analyze and optimize performance across application, middleware, runtime, and infrastructure layers—networking, storage, GPU utilization, and beyond

• Develop tooling and metrics that provide deep observability into system performance

• Collaborate closely with infra, platform, runtime, and product teams to identify key performance goals and drive systemic improvements

• Lead investigations into high-impact performance regressions or scalability issues in production

• Influence architecture and design decisions to prioritize latency, throughput, and efficiency at scale

• Drive performance testing strategies and help define SLAs/SLOs around latency and throughput for critical systems

What we need to see:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field (or equivalent experience)

• 5+ yearsin software engineering with a strong track record in performance or scalability of high-scale distributed systems

• Are deeply comfortable with performance profiling tools and tracing systems

• Be able to identify performance issues, root cause problems, and be able to come up with potential solutions

• Experience optimizing performance across one or more layers of the stack (e.g., database, networking, storage, application runtime, GC tuning, Golang internals, GPU utilization)

• Contributed to observability, benchmarking, or performance-focused infrastructure at scale

• Strong understanding of OS internals, scheduling, memory management, and IO patterns

• Have demonstrated success navigating ambiguity and aligning stakeholders around performance goals

• Proficient in container-based infrastructure (Docker, Kubernetes, Helm)

Ways to stand out from the crowd:

• Demonstrated ability to handle sophisticated technical environments while meeting or exceeding all security, reliability, scalability, and availability metrics

• Strong and confirmed knowledge of modern architectures at scale