[Remote] Engineering Manager, Inference Benchmarking — AI Perf

Note: The job is a remote job and is open to candidates in USA. NVIDIA is a leading technology company known for its innovation in computer graphics and AI. They are seeking an Engineering Manager for their AIPerf benchmarking platform, responsible for leading the engineering team to advance the platform for LLM serving performance across various inference frameworks.ResponsibilitiesDriving the technical roadmap for AIPerf's core infrastructure: load generation, ZMQ-based microservices, GPU telemetry (DCGM/PyNVML, Prometheus metrics, statistical confidence intervals, and Kubernetes-native deploymentTaking ownership for the accuracy and statistical soundness of benchmark results that engineering groups throughout the industry depend on to inform production infrastructure decisionsAdvising upstream engine integrations involving vLLM, TRT-LLM, and SGLang in partnership with NVIDIA's Dynamo and NIM teams to maintain AIPerf's relevance across emerging hardware, workload categories, and inference configurationsHiring, mentoring, and growing a team of senior engineers operating in a high-velocity open-source environment with active external contributors worldwideSkillsBachelor's degree in Computer Science, Electrical Engineering, or related field, or equivalent experience8+ overall years of software engineering experience building performance-critical infrastructure, ML tooling, or distributed systems3+ years of engineering leadership experience as a tech lead, TLM, or engineering managerDeep understanding of LLM inference mechanics — TTFT, ITL, KV caching, Prefill/Decode, speculative decoding — and the ability to reason about measurement correctness and reproducibilityProven track record of collaborating across multi-functional groups and delivering production-quality output in high-velocity, high-external-visibility environmentsExtensive experience with vLLM, TRT-LLM or SGLang internals along with contributions to their upstream projectsExperience building Kubernetes-native infrastructure including operators, Helm charts, and GPU observability tooling (DCGM, dcgm-exporter, PyNVML)Background in competitive benchmarking frameworks such as MLPerf or equivalent industry-standard evaluation systemsHistory leading or making meaningful contributions to active open-source projects with external communitiesBenefitsEquityBenefitsCompany OverviewNVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is https://www.nvidia.com.Company H1B SponsorshipNVIDIA has a track record of offering H1B sponsorships, with 448 in 2026, 1872 in 2025, 1354 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role.