Senior Engineer, Performance - Cloud Software

Details

NVIDIA DGX Cloud provides a serverless generative AI infrastructure enabling NVIDIA's AI supercomputer technologies to be used by anyone. The DGX Cloud engineering team ensures customers receive timely and quality-assured releases. This role focuses on performance and scalability testing, identifying limitations across the Kubernetes and application stack using industry-standard tools and telemetry, and driving improvements across infrastructure and application layers.

Responsibilities

• 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.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field — or equivalent experience.
• 5+ years in software engineering with a strong track record in performance or scalability of high-scale distributed systems.
• Deeply comfortable with performance profiling tools and tracing systems.
• Ability to identify performance issues, perform root-cause analysis, and propose 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).
• Contribution to observability, benchmarking, or performance-focused infrastructure at scale.
• Strong understanding of OS internals, scheduling, memory management, and I/O patterns.
• Demonstrated success navigating ambiguity and aligning stakeholders around performance goals.
• Proficient in container-based infrastructure (Docker, Kubernetes, Helm).

Ways to stand out

• Demonstrated ability to handle sophisticated technical environments while meeting security, reliability, scalability, and availability metrics.
• Strong and confirmed knowledge of modern architectures at scale.

Compensation & Benefits

• Base salary ranges (location- and level-dependent):
  • Level 3: 144,000 USD - 230,000 USD
  • Level 4: 168,000 USD - 270,250 USD
• Eligible for equity and company benefits (see NVIDIA benefits link).

Other details

• Location: Santa Clara, CA, United States.
• Employment type: Full time.
• Applications accepted at least until September 14, 2025.
• NVIDIA is an equal opportunity employer committed to diversity and inclusion.