Note: The job is a remote job and is open to candidates in USA. Panasas is redefining high-performance data infrastructure for AI, HPC, and data-intensive workloads. They are seeking a Senior System Engineer to lead the specification, selection, and qualification of server, storage, and networking platforms for VDURA parallel file system solutions.
Responsibilities
- Define and own system architectures for VDURA parallel file system solutions, including compute, storage, and networking components
- Specify, evaluate, and select server, storage, and networking platforms from OEMs and technology partners for current and next-generation products
- Lead hardware bring-up, qualification, and validation efforts in collaboration with software, QA, and lab teams
- Recommend continuous improvement changes to the platform definition based on vendor roadmaps and customer feedback
- Develop build and test instructions for integration and manufacturing partners
- Drive performance characterization of platforms, including throughput, latency, IOPS, failover behavior, and scalability under real-world workloads
- Partner with software teams to ensure optimal alignment between hardware capabilities and PanFS datapath and control planes
- Work directly with OEMs, IHVs, and component vendors on roadmap alignment, issue resolution, and joint qualification efforts
- Support customer engagements by providing platform guidance, configuration recommendations, and technical deep dives as needed
- Contribute to lab infrastructure planning and ensure test environments reflect future customer-facing configurations
Skills
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field (Master's preferred)
- 10+ years of experience in hardware engineering, systems engineering, or platform architecture roles
- Strong hands-on experience specifying, benchmarking and qualifying servers, storage systems, and high-performance networking platforms
- Engineering experience with: x86 server architectures, Storage – SAS, SATA, NVMe, Networking – Ethernet, InfiniBand, RDMA, TCP, UDP, Multicore – NUMA, memory management, caching, PCIe Gen5/6, Hypervisor technologies – particularly KVM
- Experience working with HPC, AI, or large-scale storage systems
- Proven ability to collaborate cross-functionally with software, QA, and product teams
- Comfortable working with vendors and partners at both technical and roadmap levels
- Strong analytical, documentation, and communication skills
- Experience with parallel file systems, distributed storage, or scale-out data platforms
- Familiarity with GPU-accelerated systems and AI infrastructure requirements
- Experience with storage benchmarking tools and workload characterization
- Prior exposure to customer-facing technical roles or field engineering support
- Experience building or managing lab environments for system qualification
Company Overview
Company H1B Sponsorship