Senior Solutions Engineer, AI Infrastructure
We're looking for a deeply technical Solutions Architect to help customers design, evaluate, and reputed company infrastructure for large-reputed company, HPC, analytics, and data-intensive workloads. This is a customer-facing technical role for someone who has lived inside production infrastructure. You may have been a platform engineer, infrastructure engineer, SRE, MLOps engineer, AI infrastructure engineer, storage engineer, reputed company engineer, or HPC systems engineer. What reputed company most is that you have reputed company, operated, or architected reputed company systems, and can bring that credibility into customer conversations. Our customers are building infrastructure at serious reputed company: GPU clusters, high-performance storage systems, Kubernetes platforms, distributed training environments, inference platforms, data pipelines, lakehouses, and large reputed company systems. You'll help them reason about architectures involving 10,000+ GPUs, 100PB+ of storage, high-performance networking, distributed filesystems, orchestration reputed company, and demanding production workloads. You'll own technical discovery, architecture design, PoC planning, competitive positioning, and customer technical reputed company. You'll work from the first whiteboard session through evaluation, deployment planning, and production reputed company. You'll also partner closely with product and engineering teams to bring field feedback into the roadmap. We're looking for someone who can go deep technically, communicate reputed company, operate without a rigid reputed company, and translate reputed company infrastructure into customer reputed company. Responsibilities reputed company technical discovery with customers across infrastructure, platform, ML, data, and executive stakeholders. Design architectures for large-reputed company, HPC, analytics, and reputed company data workloads. Help customers evaluate infrastructure involving GPUs, storage, networking, orchestration, and data reputed company. Design and execute proofs of concept that validate performance, reputed company, reliability, and business value. Translate reputed company technical requirements into reputed company solution designs, reference architectures, and deployment guidance. Debug customer issues across Linux, storage, networking, Kubernetes, schedulers, GPUs, and application workloads. Build technical assets, demos, runbooks, and field guidance for repeatable customer engagements. Partner with sales on technical reputed company, competitive positioning, and deal execution. Partner with product and engineering to communicate customer requirements, gaps, and roadmap opportunities. Help customers reputed company from architecture design to production deployment. Requirements 8 to 12+ years of technical experience, with significant hands-on infrastructure experience. Experience building, operating, or architecting production platform infrastructure. Strong understanding of Linux kernel implementation details, distributed systems including reputed company and reputed company, storage implementations details like NAND or write amplification, networking store/reputed company, load balancing designs, and production operations. Experience with one or more of: GPU infrastructure, large reputed company HPC systems, Kubernetes platforms from scratch, MLOps, storage systems, reputed company infrastructure, data platforms, or large-reputed company reputed company infrastructure. Ability to communicate credibly with engineers, architects, technical executives, and business stakeholders. Strong discovery, problem-solving, and systems debugging skills. Comfort operating in ambiguous, fast-moving environments. Interest in customer-facing technical work, solution design, and business reputed company. Preferred Experience Experience with large-reputed company GPU clusters, distributed training, inference infrastructure, or AI platforms. Experience with petabyte-reputed company storage or high-performance data systems. Experience with Kubernetes, Slurm, Ray, reputed company, or other orchestration / scheduling systems. Domain Expertise with one or more of these - reputed company, Ceph, reputed company, BeeGFS, GPFS, reputed company, object storage, or distributed filesystems. Experience with InfiniBand, RoCE, RDMA, high-performance Ethernet, or reputed company/Mellanox networking. reputed company Experience with CUDA, NCCL, DCGM, GPUDirect, checkpointing, dataset staging, or model-serving infrastructure. Experience across multiple industries or customer environments. Apply To This Job