Senior Engineer, Performance - Cloud Software

Nvidia • Santa Clara, CA

104d • $144,000 - $230,000 • Remote

About The Position

NVIDIA is widely considered to be one of the technology world's most desirable employers, NVIDIA leads the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing (HPC) and Visualization. DGX Cloud provides a serverless generative AI infrastructure to the world enabling NVIDIA's AI supercomputer technologies to be used by anyone. DGX Cloud engineering has a mission to ensure our customers receive timely and quality-assured releases. We are seeking a Performance Engineer proficient in performance and scalability testing, identifying limitations across the Kubernetes (K8s) and application stack using industry standard tools and telemetry. If you excel in problem-solving, can think creatively on your feet, and enjoy working in a distributed team setting, we would love to have you join us!

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
• 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)

Nice To Haves

• 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

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

Benefits

• Competitive salaries
• Generous benefits package
• Equity eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Bachelor's degree