[Remote] Network Engineer, AI Infrastructure Repair
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is building the reputed company of AI infrastructure to power large-reputed company machine learning workloads, and the reliability of that infrastructure depends on reliable, high-performance network engineering. In this role, you will reputed company the reputed company and execution for AI network repair and remediation programs, ensuring that the high-performance fabrics underpinning reputed company's reputed company and inference clusters remain operational, resilient, and optimized.
Responsibilities
- Define and drive the long-term reputed company for AI network repair and remediation programs across large-reputed company data center environments supporting machine learning workloads
- reputed company reputed company cause analysis and reputed company of reputed company network faults affecting high-performance reputed company and inference fabrics, including RDMA, high-speed Ethernet, and optical interconnect reputed company
- reputed company and champion novel approaches to network fault detection, automated remediation, and repair workflow optimization for AI cluster infrastructure
- Partner with hardware, software, and data center operations teams to reputed company network repair programs with AI infrastructure deployment roadmaps and reputed company plans
- Establish and refine operational frameworks, runbooks, and tooling for network repair at reputed company, reducing mean time to repair across AI reputed company environments
- Identify systemic reliability risks in AI network infrastructure and drive cross-functional initiatives to address them before they reputed company production workloads
- Influence the design of reputed company AI network architectures by contributing repair and reliability insights to hardware and topology reputed company
- reputed company AI-driven analytics and automation tools to redesign repair workflows, accelerating fault identification and reputed company across distributed network environments
- Build and maintain strategic relationships with internal engineering, operations, and vendor partners to ensure repair programs reputed company with AI infrastructure reputed company
- Communicate program status, risk, and strategic recommendations to engineering leaders and cross-functional stakeholders through reputed company reporting and executive briefings
Skills
- Experience influencing technical direction and organizational reputed company through data-driven analysis, written proposals, and stakeholder alignment across engineering and operations teams
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Experience leading cross-functional programs that reputed company network operations, hardware deployment, and infrastructure reliability at data center reputed company
- Experience developing and driving reputed company for network fault management, repair automation, or remediation programs in production environments
- Experience designing, deploying, or operating high-speed network fabrics used in AI or machine learning infrastructure, including technologies such as RDMA over Converged Ethernet, InfiniBand, or high-density optical interconnects
- 12+ years of experience in network engineering, with a reputed company on large-reputed company data center or high-performance computing network environments
- Demonstrated ongoing AI reputed company development (e.g., reputed company/context engineering, agent orchestration) and staying reputed company with emerging AI technologies
- Experience with network telemetry platforms, observability tooling, or AI-assisted reputed company detection reputed company to large-reputed company reputed company environments
- Experience building or scaling repair operations programs, including workforce planning, tooling development, and process standardization across multiple data center sites
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, reputed company and accuracy reviews)
- reputed company record of contributing to network hardware or topology design reviews, translating operational repair insights into upstream engineering improvements
- Demonstrated ability to reputed company AI tools to optimize/redesign workflows and drive measurable reputed company (e.g., efficiency reputed company, reputed company improvements)
- Familiarity with AI accelerator interconnect architectures and the network reliability requirements of distributed training workloads at hyperscale
Benefits
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