29 jobs found

Job Description Job Description Job Title: AI Infrastructure EngineerJob Summary We are seeking an AI Infrastructure Engineer to design, implement, and manage the infrastructure that powers AI and machine learning workloads. In this role, you will build scalable, secure, and high-performance environments for model training, inference, and deployment while optimizing compute, storage, networking, and GPU resources. You will work closely with AI/ML engineers, platform engineers, data engineers, and DevOps teams to ensure reliable and efficient AI operations. Key Responsibilities Design, deploy, and maintain AI infrastructure across cloud and on-premises environments. Build and manage GPU-enabled compute clusters for machine learning training and inference. Implement scalable infrastructure for distributed AI workloads. Deploy and manage Kubernetes clusters for containerized AI applications. Automate infrastructure provisioning using Infrastructure as Code (IaC). Develop and maintain CI/CD pipelines for AI infrastructure and services. Optimize compute, storage, networking, and GPU utilization to improve performance and reduce costs. Monitor infrastructure health, availability, capacity, and performance using observability tools. Implement security best practices, identity management, secrets management, and compliance controls. Support AI model deployment platforms and inference infrastructure. Troubleshoot infrastructure, networking, and performance issues affecting AI workloads. Collaborate with AI engineers, ML engineers, data engineers, and cloud teams to improve platform reliability and scalability. Evaluate and implement emerging infrastructure technologies for AI workloads. Required Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field. 4 years of experience in Infrastructure Engineering, Cloud Engineering, Platform Engineering, or DevOps. Strong experience with Linux system administration. Proficiency in Python, Bash, or Go for infrastructure automation. Hands-on experience with Docker and Kubernetes. Experience with one or more cloud platforms: AWS, Microsoft Azure, or Google Cloud Platform. Experience with Infrastructure as Code tools such as Terraform or Pulumi. Strong understanding of networking, storage, load balancing, and security. Experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins. Knowledge of monitoring and logging tools such as Prometheus, Grafana, ELK Stack, or OpenTelemetry. Preferred Qualifications Experience managing NVIDIA GPU infrastructure and CUDA environments. Experience with distributed computing frameworks such as Ray, Apache Spark, or Slurm. Experience with AI model serving frameworks such as NVIDIA Triton Inference Server, KServe, or Ray Serve. Familiarity with MLOps tools such as MLflow, Kubeflow, or Airflow. Experience with vector databases and Generative AI infrastructure. Knowledge of storage technologies for AI workloads, including object storage and distributed file systems. Experience with high-performance computing (HPC) environments. Familiarity with infrastructure security, compliance, and governance standards. Technical Skills Linux Python Bash Go (preferred) Docker Kubernetes Terraform or Pulumi AWS / Azure / Google Cloud Platform NVIDIA GPU Technologies CUDA Prometheus Grafana OpenTelemetry Git GitHub Actions / GitLab CI / Jenkins PostgreSQL Redis Ray Apache Spark Slurm NVIDIA Triton Inference Server KServe Soft Skills Strong analytical and troubleshooting abilities Excellent communication and collaboration skills Ownership and accountability Ability to work in cross-functional teams Strong documentation and operational excellence mindset Continuous learning and adaptability Nice to Have Experience supporting Large Language Models (LLMs) and Generative AI platforms Experience with Retrieval-Augmented Generation (RAG) infrastructure Knowledge of AI infrastructure cost optimization strategies Experience with multi-cloud or hybrid-cloud deployments Cloud, Kubernetes, or Linux certifications Location Hybrid / Remote / On-site (as applicable) Employment Type Full-time

Job Description Job Description Senior Data Center Network/ Mellanox Engineer Location: Remote, United States Schedule: Participation in a 24x7 operational support model with weekend coverage required Need to be strong in: BGP EVPN/VXLAN, Troubleshooting, Firewall, Automation (ansible/python). Overview Simple Solutions searching for Senior Ethernet Network Engineers to support large-scale AI and high-performance computing (HPC) data center deployments. This role will focus on deploying, validating, troubleshooting, and operationalizing complex Ethernet fabrics supporting GPU compute clusters. The ideal candidate will bring deep expertise in modern data center networking, automation, Linux administration, and large-scale leaf-spine architectures. This position offers the opportunity to work on cutting-edge AI infrastructure projects while partnering with engineering teams, customers, and data center operations personnel to deliver reliable and repeatable deployments. Responsibilities Perform cluster bring-up activities using approved deployment methodologies, automation workflows, and configuration standards. Design and validate large-scale Ethernet fabrics utilizing CLOS and leaf-spine architectures. Develop IP addressing plans and validate network topology, connectivity documentation, and infrastructure designs. Build, provision, test, and validate network switch configurations in lab and production environments. Configure and troubleshoot inter-node networking, including RoCE-enabled environments. Develop automation scripts and tooling using Python and Ansible. Troubleshoot network, hardware, cabling, and configuration issues during deployment and operational support activities. Partner with data center technicians and remote-hands teams to coordinate remediation efforts. Document incidents, troubleshooting findings, root cause analysis, and deployment outcomes. Create deployment records, configuration artifacts, validation reports, and operational handoff documentation. Communicate project status, risks, blockers, and technical updates to stakeholders and cross-functional teams. Required Qualifications 7+ years of experience with Ethernet switching, routing, and TCP/IP networking. Expert-level experience designing, implementing, and troubleshooting data center leaf-spine/CLOS architectures. 4+ years of hands-on experience with: BGP EVPN VXLAN 3+ years of Linux systems administration experience. 2+ years of Python and Ansible automation experience. Experience with ZTP, PXE, and DHCP-based provisioning technologies. Experience supporting customer-facing engagements in professional services, consulting, or technical support environments. Experience leveraging AI-assisted tools for technical operations and automation development. Strong troubleshooting, documentation, communication, and collaboration skills. Ability to work independently in a remote, shift-based support environment. Preferred Qualifications Hands-on experience with Cumulus Linux. Experience deploying and supporting AI GPU clusters or HPC environments. Experience with RoCE networking and high-performance interconnect technologies. Experience diagnosing physical-layer and cabling issues within data center environments. Previous experience serving as a technical lead, shift lead, or mentor to engineering teams. Technical Skills Ethernet Switching & Routing TCP/IP Networking Data Center Networking CLOS / Leaf-Spine Architectures BGP EVPN VXLAN RoCE Cumulus Linux Linux Administration Python Ansible Network Automation ZTP PXE DHCP AI Infrastructure GPU Clusters HPC Environments Deployment & Operational Support

Job Description Job Description Senior Kubernetes Platforms System Engineer Experience level: senior-level Work location: on-site, hybrid, or remote The Role: As a Senior Kubernetes Platforms System Engineer, you will operate, implement, and maintain the infrastructure underpinning our on-premises Kubernetes clusters, with a strong focus on scalability, reliability, and maintainability. You will assist in leading the technical direction of our platform engineering initiatives, evaluate and integrate key technologies, provide daily task management for team members on large and medium sized projects, and mentor a team of engineers to deliver a robust internal platform that powers development across the organization. Major Duties/Responsibilities Work with the team to define and implement best practices and standards within the organization Keeping the Kubernetes platform reliable, available, and fast Architecting solutions to problems that improve the reliability, scalability, performance, and efficiency of our services Respond to, investigate, and fix service issues all the way from bare metal through the OS to the application code Coordinate with vendors to resolve hardware and software problems Participate in an on-call rotation providing 24-hour, 7-day support and off-hours maintenance windows Work with users to help them use Kubernetes Basic Qualifications Bachelor's degree in a scientific field and a minimum of 8 years of relevant experience. An equivalent combination of education and experience will be considered. Experience with Kubernetes as a cluster administrator for on-premises deployments Excellent interpersonal/communications skills, and the ability to work as part of a team Strong working knowledge of Linux systems fundamentals and networked computing environment concepts Experience with code reviews, code quality, CI/CD tooling, GitOps, SCM (e.g. GitLab) Ability to identify requirements and to define, plan, and implement requisite solutions for small and medium projects Ability to develop and maintain programs and scripts that aid in the operation and automation of tasks using various shell and scripting languages (primarily bash, Python, and Go) Experience with on-call rotation Preferred Qualifications Subject matter expert in Kubernetes as a cluster administrator for bare metal, on-premises deployments Excellent interpersonal/communications skills, be able to effectively communicate with other teams and organizational leadership. Convey technical details to a non-or semi-technical audience. Ability to identify requirements and to define, plan, and implement requisite solutions for large, organizationally impactful projects. Self-driven with the ability to work in a dynamic, loosely structured research & development environment. Experience with RKE2 (nice to haves: Red Hat OpenShift and Talos). Multi-cluster management tools for Kubernetes (e.g. Fleet), and container security tools (Neuvector, SCC, pod admission control) Experiencing with managing image registries such as Quay or Harbor Experience using tools such as Prometheus, Nagios, and Grafana to monitor systems, metrics and create dashboards Experience designing and implementing highly-available systems/services Experience with Infrastructure-as-Code tooling such as Terraform, Helm, and Puppet Experience implementing systems-level security technologies (e.g. SELinux, Seccomp, linux capabilities), experience with DevSecOps, and general security best practices. Experience with AIOps and MLOps tooling - e.g. KServe, Kubeflow, vLLM, NVidia Enterprise AI, AMD Silo AI, ClearML, MLFlow Experience using HPC hardware for Kubernetes - e.g. RDMA, DPUs, Infiniband, many-core CPUs Experience with declarative CI/CD tools such as ArgoCD Experience with workflow engines such as Apache Airflow or Argo Workflows Experience with infrastructure automation Cloud engineering experience with at least one cloud service provider Experience wi

Job Description Job Description About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference . Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary Every Etched system starts its life in a lab. Before a rack-scale inference product reaches a customer, it goes through bring-up, validation, and testing in our factories, labs, or data centers, and each of those environments needs networked, provisioned, monitored infrastructure that is ready before the hardware arrives. The Infra Labs team builds and runs that infrastructure. As an Infrastructure Engineer on Infra Labs, you will own the racks and server infrastructure across Etched's labs and data center sites, from our office lab at Santana Row to our new hardware facility in Milpitas and our Bay Area colocation footprint. Once our forward-deployed engineers physically install a system, you take it from there: getting it onto the network, provisioned, connected to the storage and compute services it depends on, observable, and healthy through bring-up and testing. You'll support our current rack-scale systems, stand up labs for our next-generation racks and next-generation silicon, and help build the internal deployments that let us run our systems the way our customers do. This is not a cloud role, and it is not a production SRE role. It is hands-on, full-stack infrastructure delivery in environments that change every week. One week you might rebuild a network-boot provisioning flow for a new server type, chase a NIC firmware or PCIe issue on a liquid-cooled development kit, and rack and cable a new lab row. You'll work alongside Lab Operations, Supercomputing, and Deployment teams to figure out what needs to be built, and then build it with scale in mind from day one: we are designing for gigawatt-scale inference deployments, not a handful of racks. Key Responsibilities Own the management and support of racks and server infrastructure across Etched's labs and data center sites, from handoff by our forward-deployed engineers through bring-up, validation, and testing. Deliver full-stack infrastructure for new lab and data center sites: compute, networking, storage, and the core services (DHCP, DNS, zero-touch provisioning, NFS) that need to be in place before hardware arrives. Build and maintain bare-metal provisioning for servers, development kits, rack management controllers, and switches, using PXE/iPXE, DHCP, BMC/Redfish-driven imaging, and golden images, so that a newly racked system comes up with no hands on the keyboard. Troubleshoot Linux hosts end-to-end on custom and early-stage hardware: kernel, PCIe, NIC driver and firmware, bonding, storage, boot, and power issues. Drive each one to the root cause and write it up. Bring racks onto the network: top-of-rack and uplink configuration, VLAN and IP planning, optics and cabling, in partnership with our network engineers. Diagnose physical-layer and hardware faults such as link flaps, CRC errors, dirty or failed optics, power faults, and coolant leaks, and coordinate repairs and RMAs with lab staff and vendors. Run shared lab compute: help our Infrastructure Team members manage the Slurm cluster that lets engineers reserve accelerator systems, including partitions, reservations, and maintenance drains, and expand storage and compute as programs grow. Extend our observability stack (Prometheus, VictoriaMetrics, Grafana) to every lab rack, with dashboards and alerts for health, power, and link status across sites. Write infrastructure automation in Ansible and Python through reviewed, tested pull requests, and build tooling that serves both tightly controlled environments and the varied needs of individual lab teams. Manage software releases and changes on lab systems under change control, respond to incidents, and keep runbooks, inventory, and design records current as you work. Representative Projects Stand up the full infrastructure for our Milpitas hardware facility as it comes online for next-generation rack validation: network, provisioning, storage, telemetry, and access, ready before the first engineering cabinets are built. Build a portable, containerized provisioning stack (DHCP, PXE, HTTP, ZTP) that can be dropped into a new lab or rack to bring up servers and switches straight off the network. Plan and build lab infrastructure for the bring-up of our next-generation silicon, so that systems are reachable and imaged the day engineering samples arrive. Take a new colocation cage from empty to live: coordinate cross-connects and circuits, configure top-of-rack switches and uplinks, and hand racks over ready for internal workloads. Build a link- and hardware-health pipeline that spots rising bit error rates, CRC errors, and flapping links, and points to the right fix: clean an optic, swap a cable, or replace a NIC. Design an asset and inventory workflow that ties serial numbers, MAC and IP addresses, and rack locations together so every repair and RMA is traceable. Build high-throughput NVMe and NFS storage for loading model weights across lab racks, with documented layouts and benchmarks. Move lab telemetry and firmware workflows onto standard Redfish and OpenBMC interfaces as our hardware platforms adopt them. You may be a good fit if you Have 4+ years of hands-on infrastructure, data center systems, or bare-metal operations experience in on-prem environments where you physically touched the hardware. Are comfortable across every layer of a rack: servers, power circuits and PDUs, Linux, networking, and the hardware itself, and can troubleshoot whichever one is broken. Have strong Linux systems skills on bare metal, including kernel and driver debugging, PCIe and NIC troubleshooting, storage, and boot issues. Have provisioned bare-metal fleets over the network with PXE/iPXE, DHCP, and DNS, and used BMCs (Redfish or IPMI) for out-of-band management. Write infrastructure automation in Ansible (YAML, Jinja2) and Python, and work in Git with pull requests, code review, and tests. Have working networking knowledge: L2/L3 fundamentals, VLANs, LACP, switch configuration, and optics and copper cabling at 100G and above. Have built or operated observability stacks such as Prometheus, Grafana, or VictoriaMetrics. Have handled incident response and rolled software and firmware updates across a fleet without breaking it. Are physically hands-on: you rack and unrack heavy servers with a lift, run cabling, and are at home in an active lab. Are genuinely excited about hardware, including early, experimental hardware that doesn't come with a vendor playbook. Work well with electrical, mechanical, facilities, and software engineers, and write things down so the next person can repeat your work. Are able to work on-site in San Jose and travel to our Bay Area lab and data center sites. Strong candidates may also have experience with Operating GPU, accelerator, or HPC clusters, especially liquid-cooled ones (in-rack CDUs, facility liquid cooling, leak detection and automated shutdown). OCP hardware, including Open Rack v3, DC bus bar power, and OpenBMC. Hardware bring-up and NPI environments (EVT, DVT, PVT) where the platform is still changing. High-performance networking: RoCE/RDMA fabrics, Tomahawk-class switches, Arista EOS or SONiC, and AEC, DAC, and optical cabling at 400G. Slurm and Kubernetes cluster operations. Storage engineering with NVMe, mdadm RAID, and NFS, including performance benchmarking. Asset management or DCIM systems. Colocation build-outs: cross-connects, carrier circuits, and remote-hands coordination. Identity and access for infrastructure, such as FreeIPA, RADIUS, or TACACS+. Terraform, and running mixed Linux distributions (RHEL, Ubuntu) side by side. Benefits Medical, dental, and vision packages with generous premium coverage $500 per month credit for waiving medical benefits Housing subsidy of $2.5k per month for those living within walking distance of the office Relocation support for those moving to San Jose (Santana Row) Various wellness benefits covering fitness, mental health, and more Daily lunch + dinner in our office Unlimited compute budget subject to ROI justification How we're different Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system. Our addressable market is the entirety of inference, unlike many of our competitors.

Job Description Job Description About Clockwork Systems Clockwork.io - Software Driven Fabrics to increase GPU cluster utilization Clockwork Systems was founded by Stanford researchers and veteran systems engineers who share a vision for redefining the foundations of distributed computing. As AI workloads grow increasingly complex, traditional infrastructure struggles to meet the demands of performance, reliability, and precise coordination. Clockwork is pioneering a software-driven approach to AI fabrics by delivering cross-stack observability to catch and quickly resolve problems, workload fault tolerance to keep jobs running through failures, and performance acceleration that dynamically routes and paces traffic to avoid congestion. To learn more, visit . About the Role We're looking for a Senior Systems Engineer - RDMA Networking & Storage to help build and optimize high-performance infrastructure for AI and HPC systems. You'll work across RDMA networking and storage data paths , spanning compute hosts, NICs, DPUs, smart switches , storage systems, and the Linux software stack. The work includes RoCE networking, NVMe-over-Fabrics, congestion control, performance optimization, programmable network hardware, and debugging complex interactions across hardware and software. This role is ideal for an experienced systems engineer who enjoys working close to the hardware, diagnosing difficult performance problems, and building reliable systems where latency, throughput, and network behavior matter. What You'll Do Design, build, and optimize high-performance RDMA networking and storage systems Work with RoCE, RDMA Verbs, and NVMe-over-Fabrics Develop systems that leverage DPUs, SmartNICs, and programmable switches for packet processing, telemetry, control, and data-path acceleration Develop and optimize software using queue pairs, completion queues, memory registration, zero-copy I/O, and other RDMA primitives Debug performance and reliability issues across applications, Linux kernel, drivers, NICs, DPUs, switches, and storage systems Analyze network and storage behavior including latency, throughput, queueing, congestion, packet loss, retransmissions, and flow control Develop mechanisms to improve network performance and congestion behavior in high-bandwidth RDMA fabrics Build tooling and instrumentation to understand end-to-end performance across compute, network, and storage Profile and tune systems across PCIe, NUMA, CPU, memory, NIC, DPU, network, and storage boundaries Own major components from design through implementation, performance validation, and deployment What You Bring 5+ years of experience in systems, networking, storage, HPC, or other performance-critical software development Strong proficiency in low-level C/C++ Strong understanding of RDMA networking , including RoCE and RDMA Verbs Strong understanding of networking fundamentals, including packet processing, queues, congestion, and flow control Experience debugging low-level Linux networking, storage, or driver behavior Familiarity with concepts such as DMA, memory registration, queue pairs, completion queues, interrupts/polling, and zero-copy I/O Experience profiling and optimizing latency- and throughput-sensitive systems Ability to reason across hardware and software boundaries and independently debug complex system-level problems Strong ownership and comfort working in a small, fast-moving engineering team Bonus Points Experience with DPUs, SmartNICs, or programmable network hardware Experience with platforms such as NVIDIA BlueField or programmable switch environments Experience with P4, switch SDKs, or in-network packet processing Experience with NVMe, NVMe-oF, NVMe/RDMA, or NVMe/TCP Experience with SPDK , DPDK, or other userspace I/O frameworks Experience with Linux NVMe and RDMA subsystems Experience with congestion control , including DCQCN, ECN, PFC, or related mechanisms Experience tuning NVIDIA/Mellanox ConnectX NICs and RoCE fabrics Experience working with high-performance switches and data-center network fabrics Experience with PCIe, NUMA, huge pages, DMA, or CPU affinity optimization Experience with performance profiling, tracing, or observability tooling Background in AI infrastructure, HPC clusters, distributed storage, or large-scale data-center systems Enjoy Challenging, technically deep projects A friendly and inclusive workplace culture Competitive compensation A great benefits package Catered lunch Compensation for this position will vary based on the skills and experience you bring, as well as internal equity considerations. For candidates hired at the posted level, the expected base salary range is $150,000-$230,000 . The offered compensation package may also include stock options or other equity awards, subject to Clockwork's equity program and applicable approvals. Clockwork Systems is an equal opportunity employer. We are committed to building world-class teams by welcoming bright, passionate individuals from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, religion, age, sex, sexual orientation, gender identity or expression, national origin, disability, or protected veteran status. We believe diversity drives innovation, and we grow stronger together.

Job Description Job Description Senior Ethernet Network Engineer Location: Remote, United States Schedule: Participation in a 24x7 operational support model with weekend coverage required Need to be strong in: BGP EVPN/VXLAN, Troubleshooting, Firewall, Automation (ansible/python). Overview World Wide Technology's Strategic Resourcing Team is searching for Senior Ethernet Network Engineers to support large-scale AI and high-performance computing (HPC) data center deployments. This role will focus on deploying, validating, troubleshooting, and operationalizing complex Ethernet fabrics supporting GPU compute clusters. The ideal candidate will bring deep expertise in modern data center networking, automation, Linux administration, and large-scale leaf-spine architectures. This position offers the opportunity to work on cutting-edge AI infrastructure projects while partnering with engineering teams, customers, and data center operations personnel to deliver reliable and repeatable deployments. Responsibilities Perform cluster bring-up activities using approved deployment methodologies, automation workflows, and configuration standards. Design and validate large-scale Ethernet fabrics utilizing CLOS and leaf-spine architectures. Develop IP addressing plans and validate network topology, connectivity documentation, and infrastructure designs. Build, provision, test, and validate network switch configurations in lab and production environments. Configure and troubleshoot inter-node networking, including RoCE-enabled environments. Develop automation scripts and tooling using Python and Ansible. Troubleshoot network, hardware, cabling, and configuration issues during deployment and operational support activities. Partner with data center technicians and remote-hands teams to coordinate remediation efforts. Document incidents, troubleshooting findings, root cause analysis, and deployment outcomes. Create deployment records, configuration artifacts, validation reports, and operational handoff documentation. Communicate project status, risks, blockers, and technical updates to stakeholders and cross-functional teams. Required Qualifications 7+ years of experience with Ethernet switching, routing, and TCP/IP networking. Expert-level experience designing, implementing, and troubleshooting data center leaf-spine/CLOS architectures. 4+ years of hands-on experience with: BGP EVPN VXLAN 3+ years of Linux systems administration experience. 2+ years of Python and Ansible automation experience. Experience with ZTP, PXE, and DHCP-based provisioning technologies. Experience supporting customer-facing engagements in professional services, consulting, or technical support environments. Experience leveraging AI-assisted tools for technical operations and automation development. Strong troubleshooting, documentation, communication, and collaboration skills. Ability to work independently in a remote, shift-based support environment. Preferred Qualifications Hands-on experience with Cumulus Linux. Experience deploying and supporting AI GPU clusters or HPC environments. Experience with RoCE networking and high-performance interconnect technologies. Experience diagnosing physical-layer and cabling issues within data center environments. Previous experience serving as a technical lead, shift lead, or mentor to engineering teams. Technical Skills Ethernet Switching & Routing TCP/IP Networking Data Center Networking CLOS / Leaf-Spine Architectures BGP EVPN VXLAN RoCE Cumulus Linux Linux Administration Python Ansible Network Automation ZTP PXE DHCP AI Infrastructure GPU Clusters HPC Environments Deployment & Operational Support

Job Description Job Description Title: Sr. Ethernet Network Engineer Location: remote with some travel to client site Duration: 12 months with extension Compensation: $75-$78/hr Work Requirements: U.S. Citizen, GC Holders, or Authorized to Work in the U.S. Travel: Up to 15% as needed Schedule: Participation in a 24x7 operational support model with weekend coverage required Inspyr Solutions is searching for a Senior Ethernet Network Engineers to support large-scale AI and high-performance computing (HPC) data center deployments. This role will focus on deploying, validating, troubleshooting, and operationalizing complex Ethernet fabrics supporting GPU compute clusters. The ideal candidate will bring deep expertise in modern data center networking, automation, Linux administration, and large-scale leaf-spine architectures. This position offers the opportunity to work on cutting-edge AI infrastructure projects while partnering with engineering teams, customers, and data center operations personnel to deliver reliable and repeatable deployments. Responsibilities Perform cluster bring-up activities using approved deployment methodologies, automation workflows, and configuration standards. Design and validate large-scale Ethernet fabrics utilizing CLOS and leaf-spine architectures. Develop IP addressing plans and validate network topology, connectivity documentation, and infrastructure designs. Build, provision, test, and validate network switch configurations in lab and production environments. Configure and troubleshoot inter-node networking, including RoCE-enabled environments. Develop automation scripts and tooling using Python and Ansible. Troubleshoot network, hardware, cabling, and configuration issues during deployment and operational support activities. Partner with data center technicians and remote-hands teams to coordinate remediation efforts. Document incidents, troubleshooting findings, root cause analysis, and deployment outcomes. Create deployment records, configuration artifacts, validation reports, and operational handoff documentation. Communicate project status, risks, blockers, and technical updates to stakeholders and cross-functional teams. Required Qualifications 7+ years of experience with Ethernet switching, routing, and TCP/IP networking. Expert-level experience designing, implementing, and troubleshooting data center leaf-spine/CLOS architectures. 4+ years of hands-on experience with: BGP EVPN VXLAN 3+ years of Linux systems administration experience. 2+ years of Python and Ansible automation experience. Experience with ZTP, PXE, and DHCP-based provisioning technologies. Experience supporting customer-facing engagements in professional services, consulting, or technical support environments. Experience leveraging AI-assisted tools for technical operations and automation development. Strong troubleshooting, documentation, communication, and collaboration skills. Ability to work independently in a remote, shift-based support environment. Preferred Qualifications Hands-on experience with Cumulus Linux. Experience deploying and supporting AI GPU clusters or HPC environments. Experience with RoCE networking and high-performance interconnect technologies. Experience diagnosing physical-layer and cabling issues within data center environments. Previous experience serving as a technical lead, shift lead, or mentor to engineering teams. Technical Skills Ethernet Switching & Routing TCP/IP Networking Data Center Networking CLOS / Leaf-Spine Architectures BGP EVPN VXLAN RoCE Cumulus Linux Linux Administration Python Ansible Network Automation ZTP PXE DHCP AI Infrastructure GPU Clusters HPC Environments Deployment & Operational Support About INSPYR Solutions Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at

Job Description Job Description Network Engineer Austin, TX Role snapshot You support the networks inside hardware validation labs around the world: the datacenter fabrics, timing, optical, and provisioning systems that let accelerator teams validate new platforms from first bring-up through production handoff. L2/L3 lab fabric design, precision timing as a service, intent based provisioning and automation, optical plus test infrastructure, lab operations and reliability, and cost takeout through decommissioning. Required: network engineering L2/L3 at depth: VLANs, loop prevention, LAG, IPv4/IPv6 addressing, SLAAC and router advertisements, DHCP relay and helpers, PXE boot flows end to end. BGP: eBGP peering design, prefix policy, uplink preference tuning, per-rack or per-site route origination toward the border and aggregation layer. Datacenter fabrics: leaf/spine role design, EVPN/VXLAN overlays, migrating racks from L2 bridged to L3 routed boundaries. IPv6 operations: first-hop security (RA guard, address locking), DHCPv6 relay and MAC-stable allocation behavior including client identifier pitfalls, /64 per rack scale planning and fabric design Precision timing: PTP (IEEE 1588) design and troubleshooting, grandmaster placement, boundary and transparent clock concepts, sync quality monitoring against microsecond budgets. Fabrics for AI/HPC: PFC and lossless Ethernet tuning, link training, SerDes and optics basics (current generation high speed optics), awareness of how skew and tail latency hit collective communication. Optical and physical plant: fiber types and connectors, optical circuit switching concepts, commercial traffic generators, cable validation, fiber characterization from hardware timestamps. Access security: port ACLs, 802.1X/MAB flows, RADIUS, quarantine and remediation VLANs, device onboarding and registration. Multi-vendor fluency: deep on at least one datacenter NOS (Arista, Cisco, Juniper, SONiC) with demonstrated ability to pick up others, including API driven operation with rollback. Troubleshooting under pressure: packet level debugging, hardware timestamp analysis, method of procedure authorship, maintenance windows, rollback planning. Required: automation and software Python for network automation: device APIs, text templating, input validation, operator CLI tooling. Templating: Jinja2 template design (reuse across sites and roles, safe defaults, per-port rendering from inventory). Config as code: distributed revision control fluency (branch, review, land, revert), config review culture, CI gates on generated config (diff review, automated land criteria). Intent modeling: declarative source of truth thinking where inventory plus intent renders device config, and generated config is never hand edited. Linux networking: interfaces, routing tables, namespaces, capture tooling, service management, cookbook style config management (chef). Data hygiene: inventory accuracy (roles, port maps, serial to port bindings), drift detection, reconciliation loops. Required: operations and delivery Lab or datacenter operations: oncall rotations, incident response, break/fix prioritization, vendor RMAs, multi-site coordination. Change discipline: method of procedure authorship and peer review, blast radius control, pilot then scale. Cost awareness: circuit inventories, carrier coordination for turn-down, tracking recurring spend to zero with chargeback confirmation. Cross-functional delivery: shared ownership with platform teams (provisioning, observability), hardware bring-up teams, and lab customers, including consultative support outside the plan of record. Preferred AI/HPC cluster networking: scale-up versus scale-out fabric design, RDMA capable fabrics, collective sensitivity to timing. Large fiber plant or optical switching operations. IPv6-first or IPv6-only environments at scale. Observability: time series metrics, topology visualization, low-noise alert design. Vendor evaluation: switch selection criteria, optics compatibility testing. What predicts success here This team works through internal platforms that all have direct industry analogues. We hire for the transferable skill; ramp covers the internal name. Git-backed hierarchical config management plus Jinja (Ansible/Salt/Puppet/Chef experience transfers), policy driven intent automation (declarative config pipelines transfer), graph modeled network state with diff-before-push (topology as data transfers), NetBox class inventory and asset sources of truth, in-house orchestration and topology visualization (any NMS you have operated or extended transfers), and Git class revision control with daily diff review.

Job Description Job Description Title: Network Engineer Location: 5 Days Onsite Austin, TX Duration: 6 Months Job Description You support the networks inside hardware validation labs around the world: the datacenter fabrics, timing, optical, and provisioning systems that let accelerator teams validate new platforms from first bring-up through production handoff. L2/L3 lab fabric design, precision timing as a service, intent based provisioning and automation, optical plus test infrastructure, lab operations and reliability, and cost takeout through decommissioning. Required: network engineering L2/L3 at depth: VLANs, loop prevention, LAG, IPv4/IPv6 addressing, SLAAC and router advertisements, DHCP relay and helpers, PXE boot flows end to end. BGP: eBGP peering design, prefix policy, uplink preference tuning, per-rack or per-site route origination toward the border and aggregation layer. Datacenter fabrics: leaf/spine role design, EVPN/VXLAN overlays, migrating racks from L2 bridged to L3 routed boundaries. IPv6 operations: first-hop security (RA guard, address locking), DHCPv6 relay and MAC-stable allocation behavior including client identifier pitfalls, /64 per rack scale planning and fabric design Precision timing: PTP (IEEE 1588) design and troubleshooting, grandmaster placement, boundary and transparent clock concepts, sync quality monitoring against microsecond budgets. Fabrics for AI/HPC: PFC and lossless Ethernet tuning, link training, SerDes and optics basics (current generation high speed optics), awareness of how skew and tail latency hit collective communication. Optical and physical plant: fiber types and connectors, optical circuit switching concepts, commercial traffic generators, cable validation, fiber characterization from hardware timestamps. Access security: port ACLs, 802.1X/MAB flows, RADIUS, quarantine and remediation VLANs, device onboarding and registration. Multi-vendor fluency: deep on at least one datacenter NOS (Arista, Cisco, Juniper, SONiC) with demonstrated ability to pick up others, including API driven operation with rollback. Troubleshooting under pressure: packet level debugging, hardware timestamp analysis, method of procedure authorship, maintenance windows, rollback planning. Required: automation and software Python for network automation: device APIs, text templating, input validation, operator CLI tooling. Templating: Jinja2 template design (reuse across sites and roles, safe defaults, per-port rendering from inventory). Config as code: distributed revision control fluency (branch, review, land, revert), config review culture, CI gates on generated config (diff review, automated land criteria). Intent modeling: declarative source of truth thinking where inventory plus intent renders device config, and generated config is never hand edited. Linux networking: interfaces, routing tables, namespaces, capture tooling, service management, cookbook style config management (chef). Data hygiene: inventory accuracy (roles, port maps, serial to port bindings), drift detection, reconciliation loops. Required: operations and delivery Lab or datacenter operations: oncall rotations, incident response, break/fix prioritization, vendor RMAs, multi-site coordination. Change discipline: method of procedure authorship and peer review, blast radius control, pilot then scale. Cost awareness: circuit inventories, carrier coordination for turn-down, tracking recurring spend to zero with chargeback confirmation. Cross-functional delivery: shared ownership with platform teams (provisioning, observability), hardware bring-up teams, and lab customers, including consultative support outside the plan of record. Preferred AI/HPC cluster networking: scale-up versus scale-out fabric design, RDMA capable fabrics, collective sensitivity to timing. Large fiber plant or optical switching operations. IPv6-first or IPv6-only environments at scale. Observability: time series metrics, topology visualization, low-noise alert design. Vendor evaluation: switch selection criteria, optics compatibility testing. What predicts success here This team works through internal platforms that all have direct industry analogues. We hire for the transferable skill; ramp covers the internal name. Git-backed hierarchical config management plus Jinja (Ansible/Salt/Puppet/Chef experience transfers), policy driven intent automation (declarative config pipelines transfer), graph modeled network state with diff-before-push (topology as data transfers), NetBox class inventory and asset sources of truth, in-house orchestration and topology visualization (any NMS you have operated or extended transfers), and Git class revision control with daily diff review. Success in the first half looks like A rack boundary migrated to routed operation with a clean demo, one provisioning flow that runs from intent with no manual CLI, timing service extended to a new cluster with monitoring attached, and every unplanned support ask tracked and categorized instead of lost in chat.

Job Description Job Description Role Title: Network Engineer Location: 5 days Onsite in Huntsville, AL Duration: 9 Months Role snapshot You support the networks inside hardware validation labs around the world: the datacenter fabrics, timing, optical, and provisioning systems that let accelerator teams validate new platforms from first bring-up through production handoff. L2/L3 lab fabric design, precision timing as a service, intent based provisioning, and automation, optical plus test infrastructure, lab operations and reliability, and cost takeout through decommissioning. Required: network engineering L2/L3 at depth: VLANs, loop prevention, LAG, IPv4/IPv6 addressing, SLAAC and router advertisements, DHCP relay and helpers, PXE boot flows end to end. BGP: eBGP peering design, prefix policy, uplink preference tuning, per-rack or per-site route origination toward the border and aggregation layer. Datacenter fabrics: leaf/spine role design, EVPN/VXLAN overlays, migrating racks from L2 bridged to L3 routed boundaries. IPv6 operations: first-hop security (RA guard, address locking), DHCPv6 relay and MAC-stable allocation behavior including client identifier pitfalls, /64 per rack scale planning and fabric design Precision timing: PTP (IEEE 1588) design and troubleshooting, grandmaster placement, boundary and transparent clock concepts, sync quality monitoring against microsecond budgets. Fabrics for AI/HPC: PFC and lossless Ethernet tuning, link training, SerDes and optics basics (current generation high speed optics), awareness of how skew and tail latency hit collective communication. Optical and physical plant: fiber types and connectors, optical circuit switching concepts, commercial traffic generators, cable validation, fiber characterization from hardware timestamps. Access security: port ACLs, 802.1X/MAB flows, RADIUS, quarantine and remediation VLANs, device onboarding and registration. Multi-vendor fluency: deep on at least one datacenter NOS (Arista, Cisco, Juniper, SONiC) with demonstrated ability to pick up others, including API driven operation with rollback. Troubleshooting under pressure: packet level debugging, hardware timestamp analysis, method of procedure authorship, maintenance windows, rollback planning. Required: automation and software Python for network automation: device APIs, text templating, input validation, operator CLI tooling. Templating: Jinja2 template design (reuse across sites and roles, safe defaults, per-port rendering from inventory). Config as code: distributed revision control fluency (branch, review, land, revert), config review culture, CI gates on generated config (diff review, automated land criteria). Intent modeling: declarative source of truth thinking where inventory plus intent renders device config, and generated config is never hand edited. Linux networking: interfaces, routing tables, namespaces, capture tooling, service management, cookbook style config management (chef). Data hygiene: inventory accuracy (roles, port maps, serial to port bindings), drift detection, reconciliation loops. Required: operations and delivery Lab or datacenter operations: oncall rotations, incident response, break/fix prioritization, vendor RMAs, multi-site coordination. Change discipline: method of procedure authorship and peer review, blast radius control, pilot then scale. Cost awareness: circuit inventories, carrier coordination for turn-down, tracking recurring spend to zero with chargeback confirmation. Cross-functional delivery: shared ownership with platform teams (provisioning, observability), hardware bring-up teams, and lab customers, including consultative support outside the plan of record. Preferred AI/HPC cluster networking: scale-up versus scale-out fabric design, RDMA capable fabrics, collective sensitivity to timing. Large fiber plant or optical switching operations. IPv6-first or IPv6-only environments at scale. Observability: time series metrics, topology visualization, low-noise alert design. Vendor evaluation: switch selection criteria, optics compatibility testing.

Job Description Job Description About ChronoScale ChronoScale builds and runs GPU clouds for hyperscalers, AI clouds and inference companies. Over the next year we bring online a 2,048-GPU B300 cluster and a 25,000-GPU GB300 NVL72 build, and about 150 MW more capacity across Texas and North Dakota. NCPE builds, runs and supports all of it: DC Ops, network, SRE, NOC and platform software. Networking is split into two teams: Network Architecture defines the designs and standards. Network Engineering, this team, turns them into running networks at every site and keeps them running. The role You join the founding core of Network Engineering. It is a senior, hands-on role in delivery, operations and automation. You: turn reference designs into running fabrics; write the automation that deploys and checks them; are the final escalation point when a training job slows down because of the network. You work across every customer and site, not on a single project. You work closely with Network Architecture, DC Ops, SRE, the platform team and the NOC, and directly with customer engineering teams during onboarding. The networks you'll own Network What it is Compute (back-end) Rail-optimized, non-blocking InfiniBand (XDR) and RoCE fabrics on NVIDIA Spectrum-X, connecting thousands of GPUs for distributed training and inference Front-end and tenant EVPN-VXLAN fabrics under SDN control, with per-tenant VRFs from the DPU up to the firewall, and hyperscaler connections Storage Lossless, RDMA-capable networks feeding VAST, Weka and other parallel file systems at line rate Edge, interconnect and management 800G edge routing over long-haul waves with MACsec, IP transit, per-tenant NAT and IPsec, and the management, out-of-band and console networks that stay up when everything else is down How we work This is the most important part of the description. Source of truth first. Devices, cables, addresses and VLANs live in NetBox and Infrahub. Configuration, cable schedules and customer inventory are generated from that data, never typed. Every change is a pull request. It is reviewed, tested in a lab (containerlab, the SDN vendor's simulator, our own virtual and hardware labs), and deployed by tooling. The CLI is for reading state and for break-glass, not for configuring. AI tools are part of the toolchain. Claude Code, Copilot, Cursor or similar draft our templates, parsers, tests and change procedures, and review diffs. You use them every day, and you are accountable for what they produce. Responsibilities: Deliver new sites and phases. Turn reference designs into build plans, cabling and optics schedules and cutover steps. Coordinate them with DC Ops and vendors on site. Bring up fabrics. Zero-touch provisioning, onboarding into the SDN controller and NetBox, and image management. Reconcile discovered state (LLDP, serial numbers, MACs) against the cable plan until no discrepancies remain. Tune for AI workloads. Adaptive routing, congestion control (ECN, PFC, DCQCN), QoS, and subnet manager or UFM policy, all applied from templates, so collectives reach the expected bus bandwidth. Isolate tenants with EVPN-VXLAN, VRFs, InfiniBand partition keys, firewall virtual routers and ACLs, so customers share infrastructure without sharing traffic. Automate everything. Python, Jinja, Ansible and OpenTofu, plus API integrations with the SDN controller, NetBox, UFM and gNMI, for provisioning, config generation, compliance checks and change pipelines. Write the validation that proves a build, as code: The output is the evidence customers require at acceptance. links and LLDP against the cable plan; BGP sessions against what's expected; optics and light levels; switch-pair latency; fabric bandwidth, NCCL all-reduce, perftest and ib_write_bw against contracted benchmarks. Instrument the fabric with streaming telemetry into Prometheus and Grafana. Alert on link flaps, symbol and bit errors, congestion and optic degradation before customers feel them. Lead incident response as the top escalation for the NOC. Run root-cause analysis with NVIDIA, Arista, Juniper and optics vendors. Write the runbooks and standard changes that let the NOC resolve the next one without you. Close the loop with Architecture. Bring production data and lessons from every build back to Network Architecture, and keep as-built records in the source of truth, so the tenth site comes up faster than the first. Minimum Qualifications: 6+ years in network engineering, including deploying and operating production data centre or service provider networks at scale. Strong data centre routing and switching: BGP (including unnumbered and large-scale ECMP), EVPN-VXLAN and Clos fabrics. Deep enough to tell when generated configuration is wrong. At least one GPU or HPC fabric in production: You know how to find why NCCL bandwidth is low. RoCE on lossless Ethernet (PFC, ECN or DCQCN, buffer tuning, Spectrum-X or similar); or InfiniBand (UFM or OpenSM, ibdiagnet, ibstat, perfquery). Multi-tenant routing: VRFs, route targets and leaking, NAT, firewall virtual routers. Automation you have shipped and still maintain: Python you wrote, a Git workflow, CI, and network APIs. Daily use of AI coding assistants on real work. Be ready to show us where they helped and where they got it wrong. Linux networking (iproute2, ethtool, tcpdump, iperf3) and the host side of RDMA: NICs, DPUs, drivers, MTU and queue tuning. Physical-layer judgement: 400G and 800G optics, DACs and AOCs, structured cabling, and reading DOM and BER data to find the bad link. A record of large network builds, and calm recovery during P1 incidents. Preferred Qualifications: Both RoCE and InfiniBand, including fat-tree routing and UFM operations. GB300 or GB200 NVL72, B300 or H100/H200 clusters in production. BlueField DPUs in DPU mode as routers and EVPN VTEPs; DOCA, SR-IOV. Netris or another SDN controller; vCluster or vMetal; Tailscale run as infrastructure (subnet routers, ACLs in Git). NVIDIA Cumulus (NVUE) or SONiC on whitebox switches; Arista EOS; Juniper MX, SRX (Multinode HA) and EX. Data modelling in NetBox or Infrahub; OpenTofu providers; KQL. MACsec, DWDM, 400ZR and long-haul waves; IP transit and peering. Time in live data halls with liquid-cooled racks. Please note that ChronoScale cannot provide employment authorization sponsorship or immigration support for this role, now or in the future. Candidates must have valid work authorization that does not require employer sponsorship. The company has reviewed this job description to ensure that essential functions and basic duties have been included. It is intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate. This document does not represent a contract of employment, and the company reserves the right to change this job description and/or assign tasks for the employee to perform, as the company may deem appropriate. This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbents acknowledge that they possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. This document does not create an employment contract, implied or otherwise, other than an "at will" relationship. The company is an Equal Opportunity Employer, drug

Job Description Job Description About Us: Atto Trading, a dynamic quantitative trading firm founded in 2010 and leading in global high-frequency strategies, is looking for an Infrastructure Engineer to join our team. We are expanding an international, diverse team, with experts in trading, statistics, engineering, and technology. Our disciplined approach combined with rapid market feedback allows us to quickly turn ideas into profit. Our environment of learning and collaboration allows us to solve some of the world's hardest problems, together. As a small firm, we remain nimble and hold ourselves to the highest standards of integrity, ingenuity, and effort. Position Highlights: We are looking for an Infrastructure Engineer who has experience designing, building, and deploying scalable infrastructure for research and production trading. As we are rapidly growing, this role will have a major impact on the future of our software systems. Less manual, more automation! Responsibilities: Design, build, and support low-latency trading infrastructure Troubleshoot complex issues across the OS, storage, networking, and HPC clusters, working closely with other teams Automate server provisioning and configuration management Maintain and scale data storage systems Identify manual or repetitive workflows and design automation to improve reliability and user experience Deploy and support containerized applications Administer observability and source control platforms Evaluate emerging hardware and software relevant to trading, HPC, and storage, and propose improvements Coordinate with remote data center technicians on hardware installs and repairs Maintain clear documentation and a structured knowledge base Requirements: 1-5 years of experience in Linux systems engineering or administration Solid understanding of Linux internals: process scheduling, virtual memory, filesystems, and the networking stack Strong understanding of computer system architecture Good grasp of networking fundamentals (TCP/IP, routing, VLANs, troubleshooting tools) Strong scripting skills in Python and/or Bash Experience with configuration management and Infrastructure-as-Code tools such as Ansible Hands-on experience with observability tools (metrics, logging, alerting) Experience with containers (Docker, Podman; Kubernetes is a plus) Clear communication skills and the ability to work across teams Nice to have: Experience with low latency L1/1.5 network devices Experience with Solarflare or Mellanox network cards Experience with Kubernetes (bare-metal and cloud environments) Experience with Big-Data Processing and Analysis Pipelines such as Jenkins or similar Experience Working in a Trading Firm is a significant plus Genuine Interest in Finance and Trading Additional expectations: Passion for Continuous Learning Strong Sense of Responsibility Ability to Make Independent and Timely Decisions Skill in Finding Innovative Solutions Service-Oriented Mindset Benefits: Competitive compensation package Performance-based bonus opportunities 401k plan Mental health support, including access to therapy Paid time off (4 weeks) Relocation support (where applicable) International team meet-ups Learning and development support, including courses and certifications Access to professional tools, software, and resources Fully equipped workstations with high-quality hardware Modern office with paid lunches Our motivation: We are a company committed to staying at the forefront of technology. Our team is passionate about continual learning and improvement. With no external investors or customers, we are the primary users of the products we create, giving you the opportunity to make a real impact on our company's growth. Ready to advance your career? Join our innovative team and help shape the future of trading on a global scale. Apply now and let's create the future together!

Job Description Job Description SAS Datalake Engineer 1. Node Replacement and Upgrades: - Assess Isilon and NetApp cluster capacity and performance metrics using OneFS and ONTAP to determine the need for node replacements or upgrades. - Manage the integration of new Isilon and NetApp nodes, ensuring system compatibility and minimal downtime during scalability operations. - Oversee the upgrade and replacement of HPC, Kubernetes, Greenplum, Impala cluster servers, and GPU server hardware to enhance computational and graphics processing capabilities. 2. Troubleshooting and Problem Resolution: - Utilize Impala Insight IQ and NetApp tools for in-depth analysis to diagnose and resolve issues related to throughput, latency, and capacity. - Leverage One FS and ONTAP troubleshooting tools and logs to identify and rectify system errors and hardware malfunctions. - Address performance bottlenecks and system failures in HPC, Kubernetes, Greenplum, GPU servers, Impala, and NetApp environments to ensure operational efficiency. 3. System Monitoring and Maintenance: - Implement continuous monitoring with Isilon One FS event logs, NetApp ONTAP tools, SNMP alerts, and Grafana to detect anomalies early. - Schedule regular maintenance using Isilon's and NetApp's software suites to ensure optimal performance and longevity of the storage systems. - Monitor and maintain HPC, Kubernetes, Greenplum, GPU, Impala, and NetApp server environments, applying necessary updates and performing system health checks regularly. 4. Patches and Updates: - Apply Impala and NetApp-specific patches and firmware updates to nodes and system software, ensuring all components are secure and up-to-date. - Test new software updates in a sandbox environment to evaluate their impact on performance and stability before deployment across the cluster. - Manage and coordinate software updates and patch installations across HPC, Kubernetes, Greenplum, GPU servers, Impala, and NetApp systems to maintain software integrity and security. 5. Technical Support and Consultation: - Provide specialized support and consultation for optimizing storage solutions with Isilon and NetApp, including data migration, system expansion, and configuration tuning. - Offer technical support for optimizing HPC, Kubernetes, Greenplum, and GPU server configurations, improving computational resources and data processing workflows. - Assist with the design, configuration, and optimization of NetApp storage architectures to ensure efficient data management. 6. End-of-Life (EOL) Hardware Management: - Manage the phased decommissioning of aging hardware in Isilon and NetApp systems, ensuring compliance with environmental standards and security protocols. - Coordinate the replacement of EOL hardware for HPC, Kubernetes, Greenplum, GPU servers, Isilon, and NetApp to prevent performance degradation. 7. Integration and System Compatibility: - Ensure that Impala, NetApp, HPC, Kubernetes, Greenplum, and GPU storage solutions are fully integrated and compatible with the overall IT infrastructure. - Develop and implement strategies for the effective integration of storage and processing technologies to maximize performance and resource utilization. 8. Documentation and Knowledge Sharing: - Maintain detailed documentation of system configurations, upgrades, and troubleshooting activities to streamline processes and support team onboarding. - Conduct training sessions or create guides for internal teams to share knowledge about system operations and best practices. 9. Disaster Recovery and Backup: - Plan and test disaster recovery procedures for Impala, NetApp, and HPC/Kubernetes/Greenplum/GPU servers to ensure data availability and business continuity. - Ensure backup and recovery processes are in place and regularly tested to minimize data loss risks. 10. Capacity Planning: - Develop capacity planning strategies to proactively scale storage and compute resources based on performance trends and business needs. 11. Automation: - Develop and maintain automation scripts for routine tasks such as monitoring, data migration, or maintenance to improve system efficiency. - Utilize automation tools to streamline repetitive tasks, enhancing system performance and reducing manual errors. 12. Security and Compliance: - Ensure compliance with organizational security standards and relevant regulations during all maintenance, upgrades, and troubleshooting activities. - Implement or coordinate with security teams on applying best practices and hardening measures for Isilon, NetApp, HPC, Kubernetes, Greenplum, and GPU servers. 13. Data Center Work: - Participate in data center activities, including racking and initial installation of servers and storage equipment. - Ensure proper cabling, power connections, and network configurations during initial setup to facilitate smooth integration into the IT environment. Requirements 4-6 years of hands-on Linux support experience in enterprise environments Strong Linux administration and troubleshooting skills (RHEL/CentOS/Ubuntu) Experience with system monitoring, log analysis, and production support Basic scripting knowledge (Bash/Python preferred) Understanding of networking fundamentals (TCP/IP, DNS, SSH) Familiarity with ETL/data pipeline support and batch job monitoring Experience with cloud environments (AWS/Azure/GCP) is a plus Knowledge of Docker/Kubernetes is preferred Strong problem-solving and communication skills Benefits Comprehensive health insurance, 401K, PTO, sick days, end year bonus

Job Description Job Description We're looking for an experienced HPC infrastructure engineer to lead bringup, administration, and operations on is probably the largest anime AI training cluster in the world . You'll serve as the bridge between our researchers and the bare GPU machines, helping to make sure that SLURM jobs are running, parallel filesystems are serving, network is transmitting, and that the anime models are training. You may be a good fit if:You love anime and the anime aesthetic. This probably one of the only jobs in the world where you will get to combine your love of anime and large-scale GPU systems. You're familiar with the modern HPC software landscape Once upon a time, our team could install SLURM on a few bare metal nodes and get away with it. Now the landscape has become unbelievable complex, with SLURM deploys through Slinky on K8s, provisioning through warewulf/MAAS/ansible, filesystems through WEKA/VAST/Ceph, VPN and access through tailscale, and monitoring via the Grafana/Prometheus stack. We're looking for someone with relevant experience up and down the stack (and maybe a papercut or two to show for it!) As well as the traditional sysadmin landscape Bringing up and managing cluster still requires good old linux sysadmin skills, including wrangling ldap, triaging dmesg, and setting sticky bits on directories for misbehaving users and tools. You're not afraid of physical computers We're building out edge datacenters and our CEO is still personally racking, stacking, and provisioning HGX-based nodes in our living room. Also his VLAN design sucks and he's bad at fiber routing. Please send help. And you're comfortable working on small, fast-paced teams. We currently have a very tiny research team, and you'll be directly helping some of the AI researchers in the world train the best anime image model in the world. We also believe in the unmatched speed of in-person teams, and prefer on-site collaboration in either our primary research office in Tokyo (downtown Akihabara), or San Francisco (dogpatch!). Bay area is strongly preferred as we have physical hardware in the Bay Area. Visa sponsorships are available.

Job Description Job Description We are seeking a hands-on Systems Engineer with deep expertise across infrastructure, platforms, and application ecosystem spanning cloud and on-premises environments. This role requires a proven practitioner who can analyze existing ("as-is") systems and applications, document current state architectures, design future-state solutions, and implement system enhancements or technology transformations end-to-end. The ideal candidate is a technical leader and achiever who can seamlessly collaborate across infrastructure, platform, application, DevSecOps, information systems security, and data teams while maintaining ownership of system reliability, performance, scalability, and security. QUALIFICATIONS Bachelor's Degree in Computer Science, IT, or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience Minimum ten (10) years of related systems engineering experience REQUIRED KNOWLEDGE/SKILLS The candidate must demonstrate hands-on experience in all the following areas: Infrastructure & Platforms Enterprise networking (e.g. routing, switching, firewalls, load balancers, DNS) Storage technologies (e.g. SAN, NAS, object storage) Virtualization and container platforms (VMware, Hyper-V, Kubernetes, Docker) Windows and Linux (Redhat, CentOS) operating systems (administration, hardening, automation) Data platforms (HPCC, Hadoop/Cloudera) Cloud & On-Prem Technologies Cloud platforms (AWS, Azure, and/or GCP) Hybrid and on-prem infrastructure design and integration Cloud networking, identity, security, and cost optimization Data & Application Platforms Relational and NoSQL databases - relational (e.g., Oracle, PostgreSQL, MySQL, SQL Server) and NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Redis) databases Data platforms (HPCC, Hadoop/Cloudera) Data pipelines, and ETL frameworks - with ETL pipelines, Airflow, Kafka, Spark, or similar frameworks Web services, APIs, and middleware Software development lifecycle (SDLC) fundamentals Engineering & Automation Infrastructure as Code - Scripting Automation: Python, Bash, PowerShell, Terraform, Ansible, or CloudFormation Configuration management and scripting (PowerShell, Bash, Python, etc.) CI/CD integration with infrastructure and platforms (Jenkins, GitLab CI/CD, GitHub Actions, GitOps) Security best practices and system hardening Monitoring Incident Response: Proficiency with tools like Prometheus, Grafana, Splunk, ELK Stack, CloudWatch Architecture & Design Ability to create: o As-is architecture documentation o To-be architecture and detailed engineering designs o Implementation and migration plans DESIRED SKILLS Observability and monitoring tools (logging, metrics, tracing) Zero Trust and modern security architectures Data analytics, AI/ML platform exposure Experience supporting regulated or mission-critical environments Relevant certifications (cloud, systems, security, or architecture) Knowledge of machine learning platforms (TensorFlow, PyTorch, SageMaker) Familiarity with big data ecosystems (Hadoop, Databricks, Snowflake, Google, BigQuery) Strong background in ITIL processes and agile methodologies Certifications: AWS Solutions Architect / DevOps Engineer, Azure Administrator, Kubernetes CKA/CKAD, ITIL Foundation KEY RESPONSIBILITIES Perform hands-on systems engineering across network, compute, storage, operating systems, middleware, databases, and applications Analyze and document as-is infrastructure, platform, and application architectures Design to-be architectures and detailed engineering designs for modernization, optimization, and transformation initiatives Lead and execute cloud and on-prem system implementations, migrations, and upgrades Ensure systems meet availability, scalability, performance, security, and compliance requirements Integrate infrastructure and platforms with DevOps and DevSecOps pipelines Troubleshoot complex, cross-stack issues spanning infrastructure, platforms, and applications Collaborate effectively with: o Infrastructure & Platform Engineers o Software Engineers o DevOps / DevSecOps Engineers o Data Engineers (ETL) o Data Modelers, Data Scientists, and Data Analysts Produce clear technical documentation, diagrams, standards, and runbooks Serve as a technical authority and escalation point for complex system issues Communication Skills: Ability to brief executives clearly and translate technical issues into business impact IDEAL CANDIDATE PROFILE Recognized SME with deep, hands-on technical expertise Strong systems thinker with the ability to see and engineer across the full stack Comfortable operating at both strategic architecture and tactical implementation levels Excellent communication and collaboration skills across technical and non-technical teams Proven ability to own complex systems from design through production Requirements Eligible TS/SCI w/ FS Poly QUALIFICATIONS Bachelor's Degree in Computer Science, IT, or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience Minimum ten (10) years of related systems engineering experience REQUIRED KNOWLEDGE/SKILLS The candidate must demonstrate hands-on experience in all the following areas: Infrastructure & Platforms Enterprise networking (e.g. routing, switching, firewalls, load balancers, DNS) Storage technologies (e.g. SAN, NAS, object storage) Virtualization and container platforms (VMware, Hyper-V, Kubernetes, Docker) Windows and Linux (Redhat, CentOS) operating systems (administration, hardening, automation) Data platforms (HPCC, Hadoop/Cloudera) Cloud & On-Prem Technologies Cloud platforms (AWS, Azure, and/or GCP) Hybrid and on-prem infrastructure design and integration Cloud networking, identity, security, and cost optimization Data & Application Platforms Relational and NoSQL databases - relational (e.g., Oracle, PostgreSQL, MySQL, SQL Server) and NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Redis) databases Data platforms (HPCC, Hadoop/Cloudera) Data pipelines, and ETL frameworks - with ETL pipelines, Airflow, Kafka, Spark, or similar frameworks Web services, APIs, and middleware Software development lifecycle (SDLC) fundamentals Engineering & Automation Infrastructure as Code - Scripting & Automation: Python, Bash, PowerShell, Terraform, Ansible, or CloudFormation Configuration management and scripting (PowerShell, Bash, Python, etc.) CI/CD integration with infrastructure and platforms (Jenkins, GitLab CI/CD, GitHub Actions, GitOps) Security best practices and system hardening Monitoring Incident Response: Proficiency with tools like Prometheus, Grafana, Splunk, ELK Stack, CloudWatch Architecture & Design Ability to create: o As-is architecture documentation o To-be architecture and detailed engineering designs o Implementation and migration plans DESIRED SKILLS Observability and monitoring tools (logging, metrics, tracing) Zero Trust and modern security architectures Data analytics, AI/ML platform exposure Experience supporting regulated or mission-critical environments Relevant certifications (cloud, systems, security, or architecture) Knowledge of machine learning platforms (TensorFlow, PyTorch, SageMaker) Familiarity with big data ecosystems (Hadoop, Databricks, Snowflake, Google, BigQuery) Strong background in ITIL processes and agile methodologies Certifications: AWS Solutions Architect / DevOps Engineer, Azure Administrator, Kubernetes CKA/CKAD, ITIL Foundation KEY RESPONSIBILITIES Perform hands-on systems engineering across network, compute, storage, operating systems, middleware, databases, and applications Analyze and document as-is infrastructure, platform, and application architectures Design to-be architectures and detailed engineering designs for modernization, optimization, and transformation initiatives Lead and execute cloud and on-prem system implementations, migrations, and upgrades Ensure systems meet availability, scalability, performance, security, and compliance requirements Integrate infrastructure and platforms with DevOps and DevSecOps pipelines Troubleshoot complex, cross-stack issues spanning infrastructure, platforms, and applications Collaborate effectively with: o Infrastructure & Platform Engineers o Software Engineers o DevOps / DevSecOps Engineers o Data Engineers (ETL) o Data Modelers, Data Scientists, and Data Analysts Produce clear technical documentation, diagrams, standards, and runbooks Serve as a technical authority and escalation point for complex system issues Communication Skills: Ability to brief executives clearly and translate technical issues into business impact IDEAL CANDIDATE PROFILE Recognized SME with deep, hands-on technical expertise Strong systems thinker with the ability to see and engineer across the full stack . click apply for full job details

Job Description Job Description US Citizenship is required. An active TS/SCI is required. An adjudicated CI Polygraph is required prior to start. Security+ certification is required. Systems Engineer-IT Work Location: Herndon, VA DPG Solutions is looking for a mid- to senior-level Systems Engineer-IT with a strong DevOps background to support the Data Centric Multi-Level Secure (DC-MLS ) Enterprise team in Herndon, Virginia. The DC-MLS Enterprise team supports the initial deployment, integration, and coordination of site support for DC-MLS implementations across high-performance computing programs, other customer contracts, and the DC-MLS Core team. This is a hands-on position for an engineer who can work across Unix and Linux systems, scripting, software development, configuration management, and deployment automation. The ideal candidate understands how to build repeatable deployment processes, troubleshoot technical issues across the environment, and support secure systems throughout the deployment lifecycle. This position also offers a unique growth opportunity within DPG. You will have visibility with the customer, work directly with technical and mission stakeholders, and help strengthen DPG's presence on an important program in Virginia. Responsibilities Support the initial deployment, integration, and coordination of site support for DC-MLS Enterprise implementations. Support DC-MLS deployments across high-performance computing programs, customer contracts, and the DC-MLS Core environment. Administer, configure, and troubleshoot Unix and Linux-based systems. Develop and maintain automation using Python, Perl, Korn shell, Bourne/Bash, Ansible, and other scripting technologies. Develop, manage, and improve DevOps deployment automation processes. Support software builds, integration, configuration management, testing, deployment, and operational activities. Use revision control and development platforms such as CVS, SVN, Git, GitLab, and GitLab CI. Maintain system and software configuration baselines across deployment environments. Troubleshoot software, operating system, scripting, configuration, and deployment-related issues. Collaborate with systems engineering, software development, infrastructure, cybersecurity, HPC, and mission teams. Document deployment procedures, system configurations, technical issues, and operational support activities. Support secure configuration, access control, vulnerability remediation, and customer compliance requirements. Coordinate technical activities between deployment sites, program stakeholders, and the DC-MLS Core team. Required Qualifications 5 or more years of combined experience in Linux systems administration, scripting, software development, configuration management, DevOps, or systems engineering. Strong working knowledge of Unix and Linux operating environments. Proficiency with Python, Perl, Korn shell, Bourne/Bash, Ansible, and other shell scripting technologies. Experience developing and maintaining deployment automation processes. Experience with configuration management and repeatable system deployment practices. Experience with revision control platforms such as CVS, SVN, Git, GitLab, or GitLab CI. Experience troubleshooting software, operating systems, deployment automation, and configuration issues. Ability to work effectively with software, infrastructure, cybersecurity, systems engineering, and mission stakeholders. Strong analytical, documentation, communication, and problem-solving skills. Security+ certification. Active TS/SCI with an adjudicated CI Polygraph prior to start. US Citizenship. Desired Qualifications Experience supporting DC-MLS , multi-level secure systems, cross-domain solutions, or similarly controlled environments. Experience supporting enterprise deployments, initial site activation, integration, or fielded system operations. Experience working with high-performance computing systems or HPC program environments. Experience supporting classified systems and national security customers. Experience with GitLab CI, CI/CD pipelines, automated testing, or software deployment frameworks. Experience with systems engineering activities such as requirements analysis, integration, testing, deployment, and operational support. Experience maintaining technical documentation, system baselines, deployment procedures, and configuration records. Experience working in Agile development or engineering environments. What We Are Looking For We are looking for a hands-on engineer who understands how secure systems are configured, automated, deployed, and supported in operational environments. The right candidate will be comfortable moving between Linux administration, scripting, software support, configuration management, and deployment automation. You should be able to investigate problems across the technical stack, coordinate with multiple engineering disciplines, and help create reliable and repeatable deployment processes. This is a strong fit for someone who enjoys solving complex technical problems, wants meaningful visibility with the customer, and is excited about helping DPG expand its presence on the program. About DPG Solutions DPG Solutions provides mission-focused engineering, software development, DevSecOps, systems administration, and cleared technical support to national security customers. We focus on hiring strong mid- to senior-level engineers who can integrate quickly, solve real problems, and deliver value in complex mission environments. Overview of Benefits Company-funded 401(k) Profit Sharing Plan: 25% of base pay deposited every pay period, vested on day one of employment All healthcare benefits and premiums paid by the company, including a company HSA contribution Annual performance bonuses 250 hours of PTO, with up to 40 hours available to carry over Biannual company-sponsored events for employees and their families Certification reimbursement and tuition reimbursement

Job Description Job Description Description: On-site in Atlanta, GA Our client seeks a hands-on Systems Engineer to design, integrate, deploy, and support complex railroad technology systems that combine electrical hardware, embedded computing, software, cameras, sensors, networking, machine learning, servers, and physical infrastructure. The role bridges hardware, software, data science, solution architecture, field operations, and customer needs to deliver reliable operational solutions in railroad environments. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $55.00 to $60.00/hr. w2 Responsibilities: Design and integrate end-to-end systems spanning electrical, mechanical, embedded, software, networking, sensing, AI, and field infrastructure components. Translate operational needs into architectures, requirements, interfaces, implementation plans, and integration strategies. Integrate electronics, PCBs, embedded computers, cameras, sensors, networking equipment, servers, software, and AI models into deployed systems. Identify risks, dependencies, and integration challenges. Troubleshoot failures across hardware, firmware, software, networking, sensing, AI, and field conditions. Collaborate with solution architects, software engineers, data scientists, electrical engineers, IT and cybersecurity teams, DevSecOps, field personnel, and systems engineers. Develop, configure, integrate, and troubleshoot embedded computing systems and hardware or software interfaces. Write and maintain C++ and Python software, scripts, and tools for control, acquisition, communications, diagnostics, testing, configuration, deployment, and monitoring. Analyze system behavior to isolate integration issues and performance bottlenecks across application, embedded, and system layers. Support integration of machine learning and computer vision models with reliable sensor and image data capture, processing, and delivery. Determine root causes of field performance issues across sensing, data quality, model performance, software, hardware, networking, or integration. Design, integrate, and troubleshoot field-deployed electrical and electronic systems including power, sensors, communications, embedded computing, and PCBs. Read schematics, PCB documentation, datasheets, drawings, and specifications. Select components per electrical, environmental, performance, and operational needs. Integrate cameras, lenses, lighting, image acquisition, optics, sensors, and related equipment for machine vision and inspection. Evaluate camera placement, mounting, field of view, resolution, exposure, lighting, image quality, environmental effects, and data suitability for computer vision and AI. Design, configure, deploy, and troubleshoot servers, switches, routers, wireless equipment, edge platforms, IP networks, distributed communications, databases, cloud interfaces, and enterprise connections. Develop practical solutions for environments with connectivity constraints and exposure to weather, vibration, temperature, and lighting. Deploy, commission, validate, test, and troubleshoot systems in labs, test tracks, trackside locations, rail yards, maintenance facilities, and other railroad settings. Analyze operational data, logs, sensor information, images, and diagnostics to assess performance and isolate failures. Develop procedures and tools that simplify installation, configuration, testing, maintenance, troubleshooting, and deployment. Apply engineering principles to track inspection, rolling stock inspection, train and car identification, rail-yard operations, automated monitoring, safety, maintenance, efficiency, and operational awareness. Travel to field locations as needed. Experience Requirements: Experience developing, integrating, or troubleshooting complex hardware and software systems. Working knowledge of C++ and Python. Ability to troubleshoot systems involving hardware, software, embedded computing, networking, sensors, and field equipment. Understanding of electrical and electronic fundamentals including sensors, signals, power, digital or analog I/O, embedded systems, and components. Ability to read schematics, technical drawings, datasheets, and system documentation. Understanding of computer networking fundamentals, IP networking, and networked devices. Strong analytical, communication, collaboration, and hands-on problem-solving skills in lab and field environments. Ability and desire to work across disciplines and learn new technologies. Preferred: experience with robotics, mechatronics, autonomous systems, drones, industrial automation, motion systems, or physical system integration. Preferred: experience with computer vision, machine learning, cameras, optics, lighting, image acquisition, sensor fusion, localization, tracking, or perception systems. Preferred: experience with PCB and electronics design, wiring, hardware development, microcontrollers, embedded processors, edge platforms, embedded Linux, or other embedded OS. Preferred: experience with Linux servers, industrial networking, protocols, databases, SQL, Docker, containers, virtualization, Git, CI/CD, DevSecOps, automated deployment, real-time systems, or HPC. Preferred: experience in outdoor, industrial, transportation, railroad, or other demanding physical environments. Education Requirements: Bachelor's degree in Electrical Engineering, Computer Engineering, Mechatronics, a related engineering discipline, or equivalent relevant experience. Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( , ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: When you work with Eliassen Group, all email communication will come from an address, never Gmail, Yahoo, etc. Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. . click apply for full job details

Job Description Job Description Must be eligible for a federal security clearance (U.S. citizen) Must be willing to relocate to Oak Ridge, Tennessee within 36 months A Department of Energy research and development facility is seeking a Lead HPC Infrastructure Engineer. Major Duties/Responsibilities: Linux Administration: Lead the architecture and deployment of HPC-scale infrastructure services Create and maintain internal documentation of system architectures, configurations, and procedures Serve as the highest tier of support for complex issues, providing quick and efficient resolution Develop, maintain, and review high-quality code for internal tools using programming languages such as Python, Golang, or Rust Virtualization and Automation: Lead the design, deployment, and administration of the Infrastructure platform using tools like IaC tools Terraform, Ansible, and Puppet Architect, deploy, and manage resources in the NCCS virtualization environment Identify potential automation targets and lead efforts to automate processes Define policies and procedures for automation and configuration management for the team and organization as a whole Kubernetes Administration: Design standardized and automated workflow patterns, build and maintain CI/CD pipelines Work with the NCCS Kubernetes Platform team to deploy and manage services for the HPC Infrastructure group Develop, maintain, and review high-quality code for internal tools using programming languages such as Python and Bash Project Management and Leadership: Lead Infrastructure projects through all phases from planning to design, implementation, and support Mentor and train junior staff, creating training documentation, holding knowledge sharing sessions, and fostering skill growth throughout the team Propose and implement improvements to existing Infrastructure systems as well as new systems, processes, and procedures Basic Qualifications: Bachelor's degree in computer science or closely related field and a minimum of 7 years of experience in Linux systems administration, or a Master's Degree and a minimum of 4 years of experience in Linux systems administration. An equivalent combination of education and experience will be considered. Preferred Qualifications: Excellent interpersonal/communication skills and the ability to work within a team Strong working knowledge of Linux system fundamentals and common network protocols Programming and scripting skills in common languages such as Python and bash Strong experience designing, building, and maintaining Kubernetes platform tools Understanding of versioning and code review tools like GitHub and GitLab Experience implementing and supporting highly available systems and services Experience with configuration management tools such as Puppet or Ansible Experience deploying and maintaining virtual environments using VMware Experience deploying, maintaining, and troubleshooting a variety of infrastructure services such as OpenLDAP, DNS, DHCP, etc Experience in Identity Management, supporting SSO, OAuth, two-factor authentication, primarily in PingFederate and RSA SecurID. Ability to plan, prioritize, and complete assigned projects with minimal supervision

Job Description Job Description About TensorWave Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure. About the Role We are building and operating large-scale infrastructure platforms to support high-performance AI workloads across multiple data centers. Our environment includes GPU-intensive systems, high-throughput networking, and rapidly scaling compute clusters. We are looking for a Senior Hardware Diagnostics Engineer to own that surface: which versions we run, how we prove a version is safe, and how we push it across a fleet without breaking production. You'll set the bar for what validated hardware means here, build the tooling that enforces it, and be the person we escalate to when a failure doesn't make sense. Firmware is where a lot of our hardest problems live. A BIOS revision changes how a GPU enumerates. A BMC update fixes one thing and breaks telemetry. What You'll Do Own the firmware lifecycle across BIOS, BMC, NIC, GPU, and storage controllers: version qualification, approved baselines, staged rollout, and rollback Design and build the validation harness that qualifies a firmware release before it reaches production, including regression and performance comparison between versions Build automation against Redfish, IPMI, and vendor management APIs so firmware and validation work runs at fleet scale rather than node by node Define what passing burn-in means: the test matrix, the thresholds, and the evidence we keep Make fleet-wide changes safe and predictable through pre-flight validation, blast radius control, staged waves, and a rollback path that has actually been tested Lead root cause analysis on hardware and firmware failures nobody else can reproduce, including PCIe error analysis, sensor and event log forensics, and thermal and power telemetry Own technical escalation with OEM, ODM, and silicon vendors on firmware defects, and track fixes to closure Prepare validation and bring-up capability for next-generation AMD platforms before the hardware lands Mentor the diagnostics engineer on the team, and turn recurring findings into runbooks and tooling Participate in incident response and root cause analysis Contribute to runbooks, documentation, and operational best practices Who You Are Required Qualifications 6+ years in infrastructure engineering, hardware validation, systems engineering, or a closely related field Deep hands-on experience with BMCs and out-of-band management - Redfish, IPMI, iDRAC, iLO, or equivalent - including scripted interaction, not clicking through a web UI Direct firmware experience flashing, qualifying, and troubleshooting BIOS, BMC, and device firmware on enterprise servers, and a clear sense of how badly this can go wrong at scale Strong Linux systems skills: boot process, kernel and driver behavior, and hardware diagnostics such as dmesg , lspci , ipmitool , SMART, and vendor CLIs Ability to read low-level hardware signals: PCIe topology and error output, SEL and sensor data, thermal and power telemetry Python for automation against REST APIs - Redfish, vendor tooling, and internal systems A rigorous diagnostic method: you form a hypothesis, design a test that can disprove it, isolate one variable at a time, and document the evidence behind your conclusion Experience driving hardware issues with vendors through to resolution Clear technical writing for runbooks, RCAs, and vendor escalations Preferred Qualifications AMD GPU and ROCm experience: amd-smi , rocm-smi , ROCm Validation Suite GPU and HPC validation at scale: stress testing, collective communication testing with RCCL or NCCL, node health frameworks Low-level bus and firmware work: I2C, SMBus, BMC firmware behavior, Redfish schema extensions Kernel-level debugging, including crash dump analysis Ansible for fleet operations, and Git-based workflows with CI/CD NetBox or other DCIM and IPAM tooling as a source of truth Prior work at an OEM, ODM, or hyperscaler on hardware bring-up or validation First Six Months By 90 days you'll have qualified and rolled out a firmware release using our existing process - and told us what's wrong with it. By six months, a validation step that used to be manual runs automatically, and we can state our approved firmware baseline across the fleet without anyone checking node by node. What We Offer Stock Options 100% paid Medical, Dental, and Vision insurance for Employees Company Health Savings Account Contributions 100% paid Short Term and Long Term Disability Insurance for Employees Life and Voluntary Supplemental Insurance Options Other Insurance Options, such as Pet & Legal Insurance Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support Flexible Spending Account 401(k) Employee Assistance Program Flexible PTO Paid Holidays Parental Leave Other In-Office Perks Equal Employment Opportunity TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law. Reasonable Accommodations TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact . Employment Eligibility All offers of employment are contingent upon verification of identity and authorization to work in United States, as required by law. Background Checks Where permitted by law, employment may be contingent upon the successful completion of a job-related background check. Data Privacy Notice By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.

Job Description Job Description The future of aerospace and defense starts here. Ursa Major was founded to revolutionize how America and its allies access and apply high-performance propulsion, from hypersonics to solid rocket motors, satellite maneuvering and launch. We design and deliver propulsion and defense systems that solve the most urgent and critical national security demands. The journey to space starts with the engines. Ursa Major is bringing a new model to propulsion and defense technology: one where performance and access are no longer constrained by legacy systems. We design, build, and deploy advanced propulsion systems that power national security missions, hypersonic capabilities, and the future of space access. Our mission requires an extraordinary team; one that will mold tomorrow's critical technologies while deploying today's best. We are an intrinsically motivated team with a passion for solving complex technical problems and empowering each other every day, knowing that there is always room for growth. About The Role As a critical member of our Digital Operations team reporting to the IT Manager, the HPC Systems Engineer holds a dual mandate: driving the continuous expansion of our High-Performance Computing (HPC) simulation clusters while serving as IT's core Enterprise Linux Subject Matter Expert. By taking ownership of our HPC infrastructure, you will directly liberate engineering bandwidth and accelerate propulsion design cycles enabling our solids, liquids, thermal, and structural analysis teams to run complex CFD/FEA workloads faster and at greater scale. Simultaneously, you will partner with IT, DevOps, and Zero-Trust Networking to architect, automate, and harden our enterprise Linux servers across our Colorado and Ohio facilities. Responsibilities: Design, deploy, expand, and optimize Linux-based HPC clusters, storage systems, and compute nodes supporting mission-critical propulsion analysis. Administer job schedulers and resource managers (e.g., Slurm, PBS) to ensure fair-share scheduling, efficient queue utilization, and minimal job latency for engineering users. Partner directly with solids, liquids, thermal, and CFD analysis engineers to integrate, benchmark, and optimize commercial and open-source simulation suites (e.g., ANSYS, Abaqus) and GPU-accelerated workloads (NVIDIA CUDA). Manage high-throughput storage solutions (e.g., BeeGFS, NVMe-oF, NFS) and high-speed network fabrics (InfiniBand / 100GbE) to eliminate data bottlenecks during large-scale parallel processing. Act as the primary systems engineer and Level 2/3 escalation point for enterprise Linux systems, hypervisors, and core IT infrastructure. Automate system provisioning, configuration management, patching, and user onboarding using Ansible, Python, Bash, Terraform, and automated kickstart routines. Integrate Linux servers and HPC head nodes with enterprise identity platforms (Entra ID, SSSD) for centralized authentication and role-based access control (RBAC). Implement and maintain system hardening, access controls, patching, and vulnerability management aligned with NIST SP 800-171, CMMC Level 2, and ITAR/CUI data protection requirements. Deploy metrics, alerting, and telemetry frameworks (e.g., PRTG, Prometheus, Grafana) to proactively monitor node health, cluster temperature, memory usage, and hardware failures. Maintain clean architectural diagrams, standard operating procedures (SOPs), and system security plans (SSPs) for all Linux and HPC environments. Minimum Qualifications: 5+ years of dedicated experience in Linux systems engineering and infrastructure administration. Hands-on mastery of enterprise Linux distributions (RHEL, Rocky Linux, or Ubuntu Server) including kernel tuning, storage management (LVM, ZFS), and network configuration. Demonstrated experience building, managing, or scaling HPC clusters, job schedulers (Slurm, PBS), and distributed MPI/GPU environments. Strong proficiency in Python, Bash, and Ansible or Terraform for infrastructure automation. Practical understanding of system hardening, vulnerability patching, and security controls in CMMC, NIST SP 800-171, DoD, or similar regulated compliance frameworks. Preferred Qualifications: Familiarity supporting engineering simulation platforms (ANSYS Fluent/Mechanical, Siemens STAR-CCM+, Abaqus, or MATLAB). Experience configuring InfiniBand/RoCE fabrics, high-performance parallel file systems, and NVIDIA GPU clusters. Experience with enterprise hypervisor clusters (e.g. VMware vSphere). Ability to obtain and maintain a U.S. Government Security Clearance. Compensation, Location & Classification Primary Location: Hybrid (Longmont, CO office) On-Site Presence: Periodic support at our Berthoud, CO facility and data center colocation in the Denver Tech Center (DTC). Remote Support: Ongoing support for Ohio facilities. Colorado law requires us to tell you the base compensation range of this role, which is $108,000 - $135,000, determined by your education, experience, knowledge, skills, and abilities. What we can't quantify for you are the exciting challenges, supportive team, and amazing culture we enjoy. Classification: Full-time Exempt Benefits Include: (Please note, Interns are not eligible for benefits) Unlimited PTO - Vacation, Sick, Personal, and Bereavement Paid Parental and Adoptive Leave Medical, Dental and Vision Insurance Tax Advantage Accounts (HSA/FSA) Employer Paid Short and Long Term Disability, Basic Life, AD&D Additional Benefit Options Including Voluntary Life and Emergency Medical Transport EAP Program Retirement Savings Plan - 401k with Company Match How To Apply: Interested candidates are encouraged to apply by filling out the application below and clicking "Submit Application". This position will be posted for a minimum of 3 days and will remain open until filled or adjusted based on the volume of applicants. NOTE: Research suggests that women and BIPOC individuals may self-select out of opportunities if they don't meet 100% of the job requirements. We encourage anyone who believes they have the skills and the drive necessary to succeed here to apply for this role. Must be a U.S. Person (this includes U.S. Citizens and Permanent Residents). Eligibility to obtain and maintain a U.S. Security Clearance. We're an equal-opportunity employer. You will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. No outside recruiters, please.