Senior Production System Engineer - New York City

The role

Hardware New Product Introduction (NPI)
Server and data center operations
Field maintenance and infrastructure management
Hardware vendors and service providers
Supply chain and asset management
Infrastructure platform and automation engineering teams

As ByteDance continues to expand its AI infrastructure, the team is taking on an increasingly important role in introducing, productionizing, and operating high-density GPU platforms at scale.

We are looking for an experienced and hands-on Senior Production Systems Engineer with deep expertise in large-scale GPU infrastructure, Linux systems, hardware lifecycle management, automation, and production operations.

In this role, you will lead the introduction and productionization of current- and next-generation AI infrastructure, including rack-scale and high-density GPU platforms such as NVIDIA GB200/GB300 NVL72, HGX or DGX B200/B300, Vera Rubin NVL72, and comparable accelerator systems.

All jobs

Senior Production System Engineer - New York City

ByteDance, New York

The role

Hardware New Product Introduction (NPI)
Server and data center operations
Field maintenance and infrastructure management
Hardware vendors and service providers
Supply chain and asset management
Infrastructure platform and automation engineering teams

As ByteDance continues to expand its AI infrastructure, the team is taking on an increasingly important role in introducing, productionizing, and operating high-density GPU platforms at scale.

What you will do

Advanced GPU Platform Introduction: Lead the evaluation, qualification, integration, and production rollout of next-generation GPU platforms, including GB200/GB300 NVL72, B200/B300 systems, Vera Rubin, and future rack-scale AI infrastructure.
End-to-End Production Readiness: Define launch criteria and readiness plans spanning server hardware, firmware, BMC, operating systems, drivers, GPU software stacks, networking, storage, security, telemetry, and operational tooling.
Rack-Scale Integration and Fleet Operations: Partner across hardware, data center, network, storage, power, cooling, and vendor teams to resolve system-level challenges and improve GPU fleet availability, utilization, serviceability, and lifecycle management.
Systems, Performance, and Reliability Engineering: Diagnose complex Linux, hardware, firmware, PCIe, NVLink/NVSwitch, network, storage, and memory issues, while developing qualification, burn-in, benchmarking, health-check, and regression-testing frameworks. Improve the availability, utilization, serviceability, and lifecycle management of large GPU fleets across multiple data center regions.
Automation, Observability, and AI-Assisted Operations: Build scalable automation and actionable telemetry for provisioning, configuration, monitoring, fault detection, remediation, repair, and lifecycle operations; apply AI technologies to incident triage, troubleshooting, knowledge retrieval, and automated remediation.
Technical and Cross-Functional Leadership: Establish engineering standards, operational procedures, and long-term support models; mentor engineers and drive complex infrastructure programs across internal teams, supply-chain partners, and external vendors.
On-Call and Global Operations: Participate in a global on-call rotation and provide senior-level leadership during critical production incidents. Occasional travel to data centers, integration facilities, or vendor sites may be required. Lead the investigation of complex and high-impact production incidents, coordinate mitigation across teams and vendors, perform root-cause analysis, and ensure that preventive actions are implemented and measured.

What you need

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Information Technology, or a related field, or equivalent practical experience, with 5+ years of experience in production systems, infrastructure engineering, Site Reliability Engineering, DevOps, hardware systems engineering, or large-scale data center operations.
Proven hands-on experience introducing and productionizing large-scale GPU infrastructure, including ownership of hardware NPI or fleet onboarding across qualification, system integration, deployment, production validation, operational handoff, and post-launch reliability. Experience must include a recent-generation platform such as NVIDIA GB200/GB300 NVL72, HGX or DGX B200/B300, or a technically comparable rack-scale AI system.
Deep knowledge of Linux administration and troubleshooting, combined with a strong understanding of server architecture and management technologies such as kernels, drivers, BIOS/UEFI, BMC, Redfish, firmware, PCIe, NVMe, NICs, DPUs, hardware telemetry, and failure diagnostics.
Hands-on experience deploying or supporting distributed AI training or inference workloads using containerized and orchestrated environments, with working knowledge of technologies such as CUDA, GPU drivers, NCCL, NVLink, NVSwitch, RDMA, InfiniBand, RoCE, or high-performance Ethernet. Familiarity with high-density data center requirements, including liquid cooling, power delivery, rack integration, structured cabling, network fabrics, and deployment safety.
Proficiency in Python, Go, Bash, or another programming language for production-grade infrastructure automation, along with practical experience applying AI or large language models to engineering workflows such as incident analysis, troubleshooting, knowledge retrieval, code generation, or automated remediation.
Experience building and operating monitoring, telemetry, hardware management, or automated remediation platforms at substantial scale, with measurable results in fleet availability, deployment efficiency, incident reduction, operational efficiency, or reliability.
Strong systems-thinking, technical leadership, and communication skills, with the ability to troubleshoot across hardware and software layers and lead complex initiatives involving global teams, infrastructure partners, and vendors. Professional proficiency in English is required.

Senior Production System Engineer - New York City

The role

Senior Production System Engineer - New York City

The role

What you will do

What you need

Nice to have

About ByteDance

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ByteDance