227 jobs found

Job Description The Senior Data Center Network Engineer is responsible for the hands-on configuration, implementation, troubleshooting, maintenance, and lifecycle support of enterprise routing and switching infrastructure within an onsite Internet Data Center environment. The position's primary responsibility is network engineering: maintaining reliable Layer 2 and Layer 3 connectivity, implementing approved network changes, resolving complex incidents, supporting upgrades and migrations, and protecting network availability and performance. The engineer must be comfortable working directly with production routers, switches, interfaces, routing protocols, VLANs, trunks, circuits, and related network services. The role operates and supports Data Center operations, including DCIM data accuracy, rack-level equipment installation, structured cabling, fiber and copper cross-connect coordination, carrier circuit turn-up, technical documentation, vendor coordination, and participation in scheduled maintenance windows. This is a senior, hands-on position-not a primarily architectural, project-management, or remote-monitoring role. Key Responsibilities 1. Routing and Switching Engineering - Primary Focus Configure, implement, operate, and troubleshoot enterprise routers and switches in a production IDC environment. Perform hands-on Layer 2 administration, including: VLAN creation and modification Access and trunk port configuration Switch-port activation and validation Spanning-tree and loop-prevention troubleshooting Link aggregation and redundant-link support Interface, transceiver, and physical-connectivity troubleshooting Perform hands-on Layer 3 administration, including: IP addressing and subnet implementation Static and dynamic routing BGP and OSPF configuration and troubleshooting Route-policy, redistribution, and path-selection troubleshooting Gateway, adjacency, reachability, and failover validation VRF and network-segmentation support, where applicable Analyze and resolve routing, switching, packet-loss, latency, reachability, convergence, interface, and circuit-related problems. Use command-line, monitoring, logging, and diagnostic tools to isolate faults across physical, data-link, network, and transport layers. Review existing configurations, identify operational risks or inconsistencies, and recommend practical corrective actions. Develop and execute pre-change checks, implementation steps, rollback procedures, and post-change validation. Support network moves, adds, changes, migrations, upgrades, hardware refreshes, and decommissioning activities. Install and validate software or firmware upgrades in accordance with approved change-management procedures. Monitor network availability, utilization, error conditions, and performance trends; proactively address conditions that could affect service. Support redundancy, resiliency, and failover testing for network paths and critical connectivity. Maintain current network diagrams, configuration records, interface assignments, IP-addressing information, and as-built documentation. 2. Incident, Problem, and Change Management Respond to network incidents and service degradations; perform technical triage, fault isolation, recovery, and escalation. Lead or meaningfully contribute to root-cause analysis for recurring or high-impact network issues. Document troubleshooting actions, technical findings, corrective measures, and final resolution details in the applicable ticketing system. Open, update, monitor, resolve, and close incident, problem, service-request, and change records. Prepare and execute network changes under established approval and change-control processes. Coordinate implementation schedules, technical dependencies, maintenance windows, validation activities, and rollback readiness. Participate in planned after-hours maintenance when changes cannot safely be performed during normal business hours. Work with internal engineering teams, operations personnel, service providers, carriers, and equipment vendors to resolve hardware, software, circuit, and interoperability issues. 3. Data Center and Physical Network Infrastructure Support onsite routers, switches, network-management appliances, and associated data-center connectivity. Install, rack, cable, power, label, and validate network equipment in accordance with approved designs and data-center procedures. Replace or upgrade line cards, supervisor modules, power supplies, optics, interface cards, and other field-replaceable network components. Support fiber and copper cross-connects between carrier demarcation points, meet-me rooms, patch panels, cabinets, and network devices. Coordinate circuit extensions, port assignments, optics, demarcation details, patching, and end-to-end connectivity testing. Verify cable type, source and destination, equipment port, labeling, signal condition, and physical path before service activation. Troubleshoot structured-cabling and patching issues and coordinate corrective work with IDC personnel or cabling vendors. Maintain orderly cable routing, grooming, labeling, and documentation consistent with IDC standards. Support equipment moves, adds, changes, rack relocations, hardware refreshes, and decommissioning activities. Coordinate onsite vendor access, equipment delivery, installation, replacement, return-material authorization, and technical service actions. 4. DCIM and Configuration Documentation Use the designated Data Center Infrastructure Management (DCIM) platform as an operational system of record-not solely as a reference tool. Create, validate, and update records for: Installed routers, switches, modules, and related network equipment Rack, cabinet, and rack-unit locations Asset identifiers and serial numbers Physical ports, patching, structured cabling, and cross-connects Equipment moves, additions, replacements, and removals Reconcile DCIM information with the physical environment and correct discrepancies. Update DCIM and related as-built records promptly following installations, changes, cable work, or decommissioning. Maintain network diagrams, rack elevations, cable schedules, port maps, circuit records, methods of procedure, test results, and operational runbooks. Ensure documentation accurately reflects the implemented production environment. 5. Operational Coordination and Support Work collaboratively with network, security, server, storage, application, facilities, carrier, and IDC operations teams. Communicate technical issues clearly to both technical and non-technical stakeholders. Provide status updates during incidents, maintenance events, circuit implementations, and infrastructure projects. Support technical planning and execution for network migrations, equipment refreshes, capacity changes, and data-center initiatives. Participate in an after-hours or on-call support rotation for critical incidents and scheduled maintenance, as required. Follow applicable security, access-control, safety, incident-management, change-management, and data-center operating procedures. Required Qualifications Minimum of 10 years of hands-on routing and switching experience in enterprise, service-provider, government, or similarly complex production networks. Demonstrated experience independently configuring, implementing, maintaining, and troubleshooting production routers and switches. Strong knowledge of: TCP/IP and IPv4 networking Layer 2 switching, VLANs, trunking, and redundancy Layer 3 routing and route selection BGP and OSPF Network segmentation and resilient network design Network monitoring and diagnostic techniques Experience planning and executing production network changes, maintenance activities, upgrades, migrations, and cutovers. Experience troubleshooting complex connectivity and performance issues across network devices, carrier circuits, and physical infrastructure. At least three contiguous years of hands-on experience working in an IDC or comparable data-center environment. Practical experience with data-center physical infrastructure, including equipment installation, rack-level work, fiber and copper cabling, patch panels, transceivers, and cross-connects. Working experience with a DCIM platform, including validating and maintaining equipment, rack, port, cable, or asset records. Experience with incident, problem, and change-management processes and associated ticket documentation. Ability to produce accurate network diagrams, configuration records, implementation plans, rollback procedures, and as-built documentation. Strong analytical, troubleshooting, written-communication, and stakeholder-coordination skills. Ability to work independently onsite while collaborating effectively with distributed engineering and operations teams. U.S. citizenship. Ability to obtain and maintain a Public Trust clearance. Ability and willingness to work onsite Monday through Friday in Ashburn, Virginia for the duration of the engagement. Ability to support scheduled evening, overnight, or weekend maintenance and participate in an on-call rotation when required. . click apply for full job details

Job Description Pay Rate: $65-72/hr Deploy and configure FX/Broadcom hardware nodes at the Smyrna Data Center. Perform hardware validation, firmware configuration, and production readiness checks. Install and configure Broadcom/VMware software stack, including ESXi and vCenter components. Configure compute, cluster, network, storage, and platform-level infrastructure services. Design and implement an Infrastructure as Code (IaC) framework using VMware Aria Automation. Develop reusable Aria blueprints/templates for automated infrastructure provisioning. Aria implementation & Live Patching enablement Integrate Terraform and Ansible automation where appropriate within the IaC framework. Develop IaC code for standardized Windows Server and RHEL OS deployments. Automate OS configuration, networking, storage, domain integration, and infrastructure agents. Develop automation for OS security hardening based on approved enterprise security standards. Automate patching baselines, security configuration, vulnerability remediation, and configuration compliance. Implement Git-based version control and lifecycle management for infrastructure automation code. Configure monitoring, backup, logging, security, DNS, NTP, and other operational integrations. Integrate provisioning workflows with ServiceNow and applicable enterprise operational processes. Design and configure Disaster Recovery (DR) and Business Continuity (BCP) capabilities. Implement repeatable workload recovery, infrastructure restoration, and failover/failback procedures. Perform DR testing and validate compute, network, storage, backup, security, and application dependencies. Create architecture documentation, IaC standards, as-built documentation, operational runbooks, and recovery procedures. Provide knowledge transfer and transition the platform to Infrastructure Operations for ongoing support. Resource will be based in Durham, NC, with travel/support for Smyrna GA Data Center deployment and implementation activities as required.

Job Description Title: Network Operations Engineer Work Location: Longmont, CO 80503 Duration: 12 Months Job Type: Temporary Assignment Work Type: Onsite Pay Rate: $50.00-$55.00/Hr Overview: TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Job Description: About the role - you will: Carry out day-to-day operational and technical support for network services. (Queries from Labs, End user team members, ticket execution via Freshworks etc) Maintain updated schematic diagrams for infrastructure and low-level architecture design diagram Maintain updated inventory of network devices Monitoring network performance, system availability, and reliability Installing and configuring network hardware such as Wireless AP, Switches, Phones, Routers across site, Labs, Office and Data Center Participate in network implementation projects if required About Individual: We are looking for candidates who are passionate and knowledgeable about IT networking Good analytical skills, especially in incident and problem management Good verbal and written communication skills. Time management and communication skills Positive attitude possesses keen sense of urgency, and is a clear-thinker able to perform in high-pressure situations. Eagerness to learn and apply new technologies. Required Technical Skills: Knowledge and experience working with Cisco andor Juniper network equipment Familiarity with basic switching and routing such as VLAN, VXLAN, STP, VPC, HSRP, NAT, IPSec, MPLS, OSPF, BGP, EIGRP Familiarity with IP communication and routing (OSPF, EIGRP, BGP) Familiarity with LAN / WAN / WIFI/ Structured Cabling and network equipment such as firewalls, switches, routers, wireless controller, load balancer, Infoblox Knowledge in network monitoring tools, automation, packet-level analysis of application and network protocols. Your Experience Includes: Skills in network protocols and technologies, familiarity with network security principles, and experience with networking equipment are highly valued. Have a background or study in Information Technology, Computer Science, or a related field. TekWissen Group is an equal opportunity employer supporting workforce diversity.

Job Description Job Description Overview Circet USA is a leading provider of telecommunications and data center infrastructure services in North America, and we're looking for talented professionals to join our team. We deliver comprehensive engineering, construction, and network solutions that support the evolving connectivity and infrastructure needs of our customers. With nearly 50 years of industry experience, we partner with major telecom providers, cloud service providers, general contractors, data center operators, and utilities to design and deliver customized solutions that solve complex challenges. At Circet USA, you'll have the opportunity to make an impact, contribute to critical infrastructure projects, and help shape the future of connectivity. If you're passionate about innovation and thrive in a dynamic environment, we'd love to hear from you. Responsibilities SUMMARY The Telecommunications Equipment Installer IV - Lead is responsible for the installation and maintenance of telecommunication equipment for a variety of carriers. This includes fiber, transport equipment and all critical infrastructures within a central office. This lead role will provide high-quality service in customer technical spaces including data centers, mobile telephone switch centers, central office wire centers, and designated enterprise spaces. ESSENTIAL DUTIES & RESPONSIBILITIES include the following: Overtime and Saturday may be required based on business need. Other duties may be assigned: Physically place, remove, or modify working and non-working equipment including the following: Install superstructure components in support of cabling systems such as auxiliary bars, threaded rods, cable racking, cable trays, wire basket systems, etc Cutting, filing, drilling, modifying infrastructure components and working with various tools such as bandsaw, hammer drill, jigsaw, ratchet/sockets, etc Installation of data equipment cabinets and frames, data servers, switches, routers, repeaters, bridges, gateways, multiplexers, transceivers, firewalls. Making connections terminations to BDFBs and fuse panels. Identify, label, measure, terminate and physically route power cables to servers, switches, and other equipment, adhering to electrical safety standards. Identify, label, measure, terminate and physically route fiber optic and copper cables for high-speed data transmission, ensuring precise cable management and minimal signal loss Set up and install power distribution units (PDUs), ensuring redundancy and proper load balancing to prevent power issues. Conduct testing and document performance characteristics of hardware and software; determine efficiency, reliability, and compatibility with existing system. Conduct fiber light meter, CAT5/6 and volt ohm meter testing to ensure proper levels, continuity, and termination points. Perform advanced test and turn-up as well as other integration activities. Resolve equipment and technical issues as they arise. Read, analyze, and interpret detailed specifications and drawings, blueprints, schematics, and method of procedures (MOPs) Perform quality validation on in-process and completed work. Complete operations paperwork (e.g., expense reports, timesheets, job documentation, etc.) including daily job status reports as requested. May oversee the work of less experienced installers; assume responsibility for the successful completion of installation projects. Act as a customer contact; interface with customers and local supervisors regarding project status Interact with all members of the organization including Installation, Engineering, Project Management Perform other duties as requested. SAFETY DUTIES & RESPONSIBILITIES Adhere to, promote, and accept personal responsibility for compliance to: Federal and Local Occupational Safety and Health Regulations Industry Consensus Standards Circet USA Injury and Illness Prevention Program Manual Participate in job site safety/hazard analysis Qualifications QUALIFICATION REQUIREMENTS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. High school diploma or equivalent required, technical or college degree preferred. Minimum of six years of experience or equivalent technical skills in central office equipment / data center installation Clear understanding of AT&T, Telcordia, and/or Verizon Quality Standards. Knowledge and experience with telecommunications equipment including Dell, HP, Arista, Ciena, Fujitsu, Cisco, Calix, Adtran, Nortel, Nokia, etc. Background in fiber optic cable and AC/DC power installation and testing practices Proficient use of Microsoft programs, IOS and/or Android applications. Ability to read and understand technical drawings and documentation. Good mechanical aptitude including usage of basic power tools. Strong organization as well as verbal and written communication skills Demonstrated problem-solving skills; ability to define problems, collect data, establish facts, and draw valid conclusions. BICSI certification is a plus LANGUAGE SKILLS Ability to read and interpret documents such as safety rules, operating and maintenance instructions, and procedure manuals. Ability to write routine reports and correspondence. Ability to speak effectively before employees of the organization. MATHEMATICAL SKILLS Ability to add, subtract, multiply and divide in all units of measure. REASONING ABILITY Ability to apply common sense understanding to carry out instructions furnished in written, oral, or diagram form. POSITION QUALIFICATIONS/ REQUIREMENTS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Exhibit personal power and leadership Exhibit self-awareness Exhibit a tendency for continuing education and self-improvement Exhibit enthusiasm and determination Exhibit industry awareness Exhibit exceptional organizational skills Exhibit the ability to live the Circet USA Values TRAVEL Willing to travel Valid driver's license with acceptable driving record and proof of insurance Must have reliable transportation and the ability to transport minor job-related tools and equipment to work locations PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. While performing the duties of this job, the employee is regularly required to stand and use hands to finger, handle or feel. The employee is required to walk, sit, reach with hands and arms, climb or balance, stoop, kneel or crouch, talk and hear. The employee must regularly lift 5-50 lbs, and occasionally lift over 50 lbs. Specific vision abilities required by this job include close vision, color vision, peripheral vision, and ability to adjust focus. WORK ENVIRONMENT The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate. Circet USA is an Equal Opportunity Employer - Veteran/Disabled. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. Pay Range in the United States: $24 - $40 based upon geography, skills, and experience. May also be eligible for performance incentive opportunity based on company and individual goals and performance.

Job Description Electrical Design Specialist Position: Electrical Design Specialist Type: Hourly Contract Compensation: $60-$120/hour Location: Remote About the Opportunity This opportunity is for experienced Electrical Design Specialists and Electrical Engineers to contribute to a short-term project focused on electrical design, power systems, and system-level engineering analysis . You'll apply your hands-on industry expertise to analyze technical requirements, evaluate electrical designs, perform engineering calculations, identify design issues, and assess solutions against applicable engineering standards. The role is ideal for professionals with practical experience designing or evaluating real-world electrical systems. Responsibilities Develop, analyze, and evaluate electrical designs based on technical requirements and specifications. Design and review electrical systems, circuits, equipment, and components. Work with power distribution systems, control panels, switchgear, motor control systems, and related equipment . Interpret electrical schematics, single-line diagrams, wiring diagrams, layouts, equipment specifications, and technical documentation. Perform electrical calculations including load flow, voltage drop, short-circuit analysis, protection coordination, and equipment sizing . Evaluate design alternatives, engineering trade-offs, and overall system performance. Identify potential design issues, technical risks, and opportunities for improvement. Review and validate engineering designs, calculations, assumptions, and technical approaches. Ensure proposed solutions align with project requirements and applicable engineering codes and standards . Provide clear technical reasoning and documentation supporting design decisions. Required Qualifications Hands-on professional experience as an Electrical Engineer, Electrical Design Engineer, or Electrical Design Specialist . Bachelor's, Master's, or PhD in Electrical Engineering or a related discipline . Strong understanding of electrical system design, power systems, and engineering principles . Practical experience designing or evaluating electrical systems in areas such as: Industrial facilities Manufacturing Infrastructure Energy Renewable energy Building services Energy storage Experience with low- and medium-voltage systems, electrical protection, equipment sizing, and power distribution . Ability to interpret complex electrical drawings and technical documentation. Strong analytical, problem-solving, and technical communication skills. Preferred Qualifications Advanced degree or professional engineering certification . Experience performing load flow, short-circuit, and protection coordination studies . Experience specifying and sizing transformers, switchgear, cables, motors, and protection equipment . Familiarity with AutoCAD Electrical, ETAP, SKM Power Tools, EPLAN, Revit , or equivalent engineering tools. Experience with industrial automation, instrumentation, or control systems . Experience designing electrical systems for manufacturing facilities, data centers, renewable energy projects, or complex infrastructure . Familiarity with applicable electrical standards such as IEC, IEEE, NEC , or equivalent regional standards. Experience reviewing vendor drawings, equipment datasheets, technical submittals, and engineering designs . Strong ability to evaluate technical trade-offs and communicate engineering decisions clearly. Compensation Competitive compensation of $60-$120/hour. Hourly contract engagement. Fully remote. Short-term project engagement. Focus on technical problem-solving, electrical design analysis, and expert evaluation . Application Process Apply to the role Complete the required screening questions Provide details about your electrical engineering and design experience Complete the relevant technical assessment or evaluation Hiring team review Project onboarding Begin contributing to electrical design and engineering tasks

Job Description Job Description ABOUT ROCKET LAB Rocket Lab is the end-to-end space company building rockets, spacecraft, and critical subsystems that keep the world connected, protected, expand humanity's reach to the Moon, Mars, and beyond. We move fast, build real hardware for meaningful missions, and make the impossible routine. Come shape the future with us. NEUTRON Rocket Lab's Neutron team is responsible for bringing our new large rocket Neutron and its launch and test sites to life. From designing and testing Neutron's structures and components, to firing up its new Archimedes engines, to setting up Neutron's launch pads and test sites across the United States, joining the Neutron team is your opportunity to help launch a new large rocket for the very first time. PRINCIPAL STAGE FLUIDS ENGINEER As a Principal Stage Fluids Engineer, Neutron owns the design, build, test, and review of multiple fluid systems across the Neutron launch vehicle. Our team owns all plumbing and systems between the tanks and the engines. Your work within the Fluid Systems department will turn vehicle-level requirements into a fluid network that enables Neutron to operate with aircraft-like reusability and reliability. WHAT YOU'LL GET TO DO Design plumbing systems, components, and their secondary structures. Provide feedback to your peers on their designs, drawings, and methodology. Analyze these systems and components in the harsh and dynamic environments of launch. Review and provide feedback for critical structural analysis of fluid components and systems. Model these systems to characterize and predict system behavior at all conditions. Understand and interpret models of others and work to improve efficacy of modelling. Test and qualify these systems, components, and modules. Manage requirements, realization, and implementation of systems in the larger launch vehicle context. Integrate your hardware into the vehicle. Review data from component, system, and vehicle level testing to optimize and improve future designs. Collaborate with components, propulsion, structures, mechanical, operations, and flight software teams to develop and define vehicle functions. Create tools to enhance the team's analysis capabilities, streamline workflow and optimize launch operations. Set the standard for design, production, and testing processes. Enforce these standards across the program and beyond. Mentor and grow your peers to strengthen the overall team. YOU'LL BRING THESE QUALIFICATIONS AS A PRINCIPAL STAGE FLUIDS ENGINEER: Bachelor's degree in Mechanical Engineering or relevant engineering discipline. 12+ years of experience in a hardware rich environment. Experience with fluid components design and usage for valves, pressure vessels, flex elements & fittings. Experience with DfM/DfAM, machining processes, and welding processes with a proven understanding of mechanical drafting and GD&T. THESE QUALIFICATIONS WOULD BE NICE TO HAVE: 8+ years of experience in a fast-paced aerospace environment where you have completed difficult projects while collaborating effectively with other key groups. Strong understanding of how to design for classic aerospace constraints: minimizing mass while maintaining manufacturability, function, and low costs. Ability to earn trust, maintain positive professional relationships, & contribute to a culture of inclusion. Experience working with a distributed team across the globe. Advanced degree in a fluid mechanics-heavy field. Experience with oxygen, methane, and/or cryogenic systems. Experience using Siemens NX & Teamcenter. Demonstrated ability to rally a team to make & execute good decisions in a fast-paced environment with limited information. Experience with Aerospace Processes, Standards, and Workflows, from JIRA to AS9100. This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas Anticipated annual equity grant value is designed around function, level, experience, and other factors; realized value depends on vesting and stock-price performance. Join one of the world's fastest-growing space companies and own a piece of it. In addition to competitive base pay, you'll receive company stock as part of your total compensation package , giving you a direct stake in our success. As we expand to new launch sites, groundbreaking missions, and global markets, your ownership has the opportunity to grow alongside the company. Our comprehensive benefits package includes our industry-leading Employee Stock Purchase Program (with a 15% discount on company stock), top-tier medical plans (HMO, PPO, and a zero cost HDHP option with a significant HSA company contribution), dental and vision coverage, paid vacation and sick time, 11 paid holidays, flexible spending and dependent care accounts, paid parental leave, disability and life insurance, and a 401(k) retirement plan with company match. Additional perks include subsidized EV charging, onsite fitness centers (where available), discounted gym memberships, complimentary snacks and beverages, 50% employee discount on our popular merch store, and a variety of other employee discounts. Level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Total Compensation (base and equity) $211,725-$349,550 USD Base Salary $162,000-$270,000 USD WHAT TO EXPECT We're on a mission to unlock the potential of space to improve life on Earth, but that's not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work, and out-pace. We pride ourselves on having each other's backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way. Important information: FOR CANDIDATES SEEKING TO WORK IN US OFFICES ONLY: To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Rocket Lab Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. Learn more about ITAR here. Rocket Lab provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment at Rocket Lab, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Applicants requiring a reasonable accommodation for the application/interview process for a job in the United States should contact Giulia Johnson at dedicated resource is intended solely to assist job seekers with disabilities whose disability prevents them from being able to apply/interview. Only messages left for this purpose will be considered. A response to your request may take up to two business days. FOR CANDIDATES SEEKING TO WORK IN NEW ZEALAND OFFICES ONLY: For security reasons, background checks will be undertaken prior to any employment offers being made to an applicant. These checks will include nationality checks as it is a requirement of this position that you be eligible to access equipment and data regulated by the United States' International Traffic in Arms Regulations. Under these Regulations, you may be ineligible for this role if you do not hold citizenship of Australia, Japan, New Zealand, Switzerland, the European Union, or a country that is part of NATO, or if you hold ineligible dual citizenship or nationality. For more information on these Regulations, click here ITAR Regulations.

Job Description Job Summary: We are seeking a skilled Deskside Support with 3-5 years of experience in IT infrastructure support. The role involves handling basic networking, data center operations, monitoring tools, hardware troubleshooting, and ITSM tools . You will act as the on-site support partner, assisting internal teams, customers, and vendors in troubleshooting and resolving technical issues. This is a hands-on role that requires both technical knowledge and the ability to communicate effectively with remote teams.gning switch ports to specific VLANs • Patch phone ports to switch as needed • Basic troubleshooting of Avaya VOIP phones (knowledge on basic configuration) • Troubleshoot issues with fiber links between switches - Able to visualize errors and communicate to remote technical teams • Troubleshoot and replace network switch chassis blades when required • Good to have understanding of any Data Center Infrastructure Management Application • A periodic (minimum twice weekly) visual check of the IDF rooms for cooling and power status (specifically UPS alarms and PDU health) Control-M, EMC Avamar, Data Domain • Basic Knowledge of Monitoring tools such as Solarwinds, etc • Networking and Operating System basics • Assist network and data center admins (Internal, Customer and Vendor) as required during the course of technical troubleshooting • Basic knowledge about Hardware like Servers, Storage devices • Knowledge to understand Monitoring Tool outcome • Basic knowledge of ITSM tool preferably ServiceNow • Basic knowledge Backup technologies preferably EMC Avamar • Basic knowledge of Operating Systems- Windows 2003 servers Enterprise/Standard Edition, UNIX & linux • Basic knowledge about Windows 2003 Active Directory structure, MS Exchange 2003 and File/Print Server • Experience in SLA base environment • Knowledge on Server Performance monitoring preferred • Candidate should have minimum 3-5 years' experience in above mentioned area.

Job Description Job Description: Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That's where we come in. We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide. This isn't theoretical work. It's real systems, at real scale, people solving some of the hardest challenges in technology today. We're looking for people who want to build, solve, and operate at that level. Join us and let's shape the future of data.Job Description The Senior Systems Architect is a senior technical leader responsible for the architecture, engineering, standardization, and evolution of enterprise compute and infrastructure platforms. This role requires broad hands-on expertise across enterprise virtualization, Windows and Linux, server infrastructure, automation, containers, and compute integration with storage and networking. The successful candidate will be equally comfortable developing architecture strategy, evaluating new technologies, creating automation, and troubleshooting complex production issues. A primary objective of the role is transforming infrastructure operations from manual administration into standardized, automated, policy-driven platform services. The architect will establish technical standards, lead modernization efforts, reduce operational complexity, and improve reliability, scalability, security, and cost efficiency. The role works closely with Data Center Operations, Storage Architecture, Network Engineering, Security, Cloud Engineering, Application teams, Manufacturing, and technology vendors. Key Responsibilities Infrastructure Architecture & Engineering Serve as a senior technical authority for enterprise compute, virtualization, Windows, Linux, container, and server infrastructure. Develop architecture standards and reference designs for scalable, resilient, secure, and supportable infrastructure. Architect virtualization and compute solutions across platforms such as Hyper-V, VMware, Nutanix AHV/KVM, and emerging technologies. Define standards for operating system deployment, configuration, lifecycle management, patching, upgrades, security, high availability, disaster recovery, capacity, and performance. Establish enterprise server hardware standards covering compute, memory, accelerators, firmware, network interfaces, power, cooling, and lifecycle management. Evaluate new infrastructure technologies through technical assessments, proof-of-concepts, benchmarking, and total-cost-of-ownership analysis. Lead complex troubleshooting and root-cause analysis across compute, virtualization, operating systems, storage, networking, and application dependencies. Drive platform modernization, consolidation, migration, technology refresh, and infrastructure lifecycle initiatives. Automation, AI & Platform Engineering Lead infrastructure automation and platform-engineering strategy across compute and related data center technologies. Identify repetitive operational activities and replace them with standardized, automated, policy-driven workflows. Develop automation using technologies such as PowerShell, Python, Ansible, Terraform, APIs, Git, and CI/CD platforms. Apply Infrastructure as Code and software-engineering practices including source control, reusable modules, peer review, testing, release management, and automated validation. Automate provisioning, configuration, patching, upgrades, firmware, compliance, vulnerability remediation, monitoring integration, and infrastructure retirement. Integrate automation with enterprise systems including ITSM, CMDB, observability, security, vulnerability management, and asset management. Develop self-service and API-driven infrastructure capabilities that reduce manual administrative work. Evaluate and responsibly apply AI, AI agents, and agentic automation to infrastructure engineering, operations, troubleshooting, documentation, and analysis. Infrastructure Integration Partner with the Principal Storage Architect to ensure compute and virtualization platforms integrate effectively with enterprise storage. Define compute-side requirements for storage connectivity, availability, capacity, performance, resiliency, and interoperability. Own architecture and standards for server and hypervisor networking, including host connectivity, NIC configuration, virtual networking, resiliency, performance, and storage-related network traffic. Partner with Network Engineering on physical connectivity, VLANs, routing, addressing, network fabrics, and data center network integration. Maintain clear ownership boundaries: this role owns server and hypervisor networking; enterprise switching, routing, firewall, and network architecture remain with Network Engineering. Work with infrastructure vendors on technology roadmaps, platform supportability, lifecycle planning, technical escalations, and architecture evaluations. Technical Leadership Develop and maintain architecture standards, reference architectures, technology roadmaps, design documentation, and architecture decisions. Establish standards for infrastructure reliability, security, observability, lifecycle management, automation, and supportability. Evaluate technologies based on scalability, performance, reliability, security, operational complexity, automation potential, and total cost of ownership. Partner with Security teams on infrastructure hardening, vulnerability management, compliance, and Zero Trust requirements. Present technical strategies, risks, tradeoffs, and investment recommendations to engineering and executive leadership. Serve as a senior escalation resource and mentor engineers across the infrastructure organization. Lead cross-functional technical initiatives and drive consensus across organizations without requiring direct authority. Qualifications 12+ years of progressive enterprise infrastructure engineering, architecture, or closely related experience, including substantial hands-on responsibility for production environments. Demonstrated experience designing and supporting large-scale, business-critical enterprise infrastructure. Deep experience with one or more enterprise virtualization platforms such as Hyper-V, VMware, Nutanix AHV, KVM, or comparable technologies, with the ability to rapidly learn additional platforms. Strong enterprise experience with Windows Server and Linux. Experience with container technologies and orchestration platforms such as Docker, Kubernetes, OpenShift, or comparable platforms. Significant experience with enterprise server platforms such as HPE, Dell, or comparable technologies. Strong understanding of storage and networking sufficient to design and troubleshoot compute integration with those technologies. Demonstrated infrastructure automation experience using PowerShell, Python, Ansible, Terraform, APIs, or comparable technologies. Experience applying Infrastructure as Code, source control, CI/CD, configuration management, or similar software-engineering practices to infrastructure. Proven ability to troubleshoot complex issues across multiple infrastructure domains. Demonstrated ability to create technical standards and translate architecture into successful production implementations. Preferred Experience Experience in several of the following areas is beneficial; candidates are not expected to have expertise in all of them: Nutanix, KVM, HCI, or software-defined infrastructure Kubernetes or enterprise container platforms Azure Arc, Azure Local, or hybrid infrastructure GitOps, Infrastructure as Code, and CI/CD AI-assisted engineering and agentic automation Enterprise monitoring and observability ITSM, CMDB, security, and vulnerability-management integration Redfish, REST APIs, and hardware-management automation Data center infrastructure management Large-scale platform migrations and technology refresh programs Manufacturing, semiconductor, high-performance engineering, or similarly complex environments Key Competencies Deep technical curiosity and the ability to rapidly learn unfamiliar technologies. Comfortable moving between strategic architecture and hands-on technical investigation. Strong bias toward automation, standardization, simplification, and elimination of repetitive work. Strong analytical approach to reliability, performance, scalability, security, supportability, and cost. Ability to communicate complex technical concepts to both engineering and executive audiences. Ability to work across organizational boundaries and influence technical direction without direct authority. Strong mentoring skills and a desire to raise the technical capability of the broader organization. Willingness to challenge established assumptions using data, testing, and engineering analysis. Additional Information Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status . click apply for full job details

Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Mission Systems Software Engineer will work on developing solutions of a real time system environment to provide mission computing support at the center of an autonomous aircraft with sensor and weapons. This role will work to establish a software architecture for a real time system that operates in a multi-level environment at real time. The role will require work with hardware, software and systems teams to come to a consensus design. This role will focus on development of new systems and software designs from PDR, CoDR, CDR to lab test, flight test and fielding. What you'll do: Serve as a software mission systems engineer for a safety- and mission-critical real-time mission-computing system aligned with A-GRA and AMS-GRA principles, profiles, interfaces, and data standards. Define and maintain the end-to-end software architecture, including mission applications, platform services, middleware, operating-system interfaces, hardware-abstraction layers, networking, data distribution, component boundaries, and APIs. Architect for deterministic real-time performance by addressing scheduling, latency, jitter, synchronization, throughput, resource utilization, distributed processing, and CPU/GPU/accelerator allocation. Develop architecture views, interface definitions, data-flow and deployment models, sequence and timing diagrams, resource budgets, trade studies, and technical decision records. Integrate sensors, effectors, communications, navigation, autonomy, mission management, command-and-control, data-processing, and vehicle services in collaboration with hardware, FPGA, cybersecurity, safety, systems, integration, and test teams. Design for mission resilience and assurance through fault detection and isolation, redundancy, graceful degradation, recovery, health monitoring, cybersecurity, airworthiness, certification, and requirements traceability. Establish engineering practices for concurrency, synchronization, memory and resource management, deterministic execution, interface control, configuration management, and predictable component integration. Define and execute verification strategies across HIL/SIL laboratories, simulations, test benches, flight-test environments, and deployed systems using automated, performance, stress, fault-injection, interface, and timing tests. Maintain technical ownership throughout the system lifecycle by evaluating enabling technologies and supplier designs, analyzing performance, managing technical debt and modernization roadmaps, promoting reuse, and communicating architectural decisions. Required qualifications: Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Systems Engineering, Aerospace Engineering, Electrical Engineering, or a related technical field. 8+ years of professional software-engineering experience, including 3+ years in software architecture, systems architecture, or technical leadership. Experience developing embedded, distributed, real-time, safety-critical, or mission-critical software systems. Proficiency in C, C++, Rust, or another strongly typed systems-programming language. Strong understanding of real-time software principles, including scheduling, concurrency, synchronization, latency, jitter, memory management, and deterministic execution. Experience with embedded operating systems or RTOSs, middleware, interprocess communication, networking, and data-distribution technologies. Experience defining software architectures, APIs, interface-control documents, data flows, deployment models, and system resource budgets. Experience integrating software with hardware, sensors, communications systems, navigation systems, effectors, or other mission-system components. Experience supporting software through requirements development, design reviews, implementation, integration, verification, system test, and deployment. Working knowledge of systems-engineering processes, requirements management, traceability, configuration management, and verification and validation. Ability to analyze system performance using instrumentation, telemetry, traces, profiling, network captures, timing data, and resource-utilization measurements. Strong cross-functional technical leadership, problem-solving, written communication, and presentation skills. Ability to obtain and maintain a U.S. Department of Defense security clearance; U.S. citizenship may be required for clearance eligibility. Preferred qualifications: Experience developing software for autonomous aircraft, unmanned aircraft systems, avionics, mission computers, robotics, or aerospace and defense platforms. Experience with A-GRA, AMS-GRA, OMS, UCI, FACE, or other government reference architectures and open-mission-system standards. Experience integrating autonomy, mission management, command-and-control, sensor processing, communications, navigation, and effector capabilities. Familiarity with airworthiness, safety-assurance, or certification standards such as DO-178C, DO-254, ARP4754A, or applicable military airworthiness guidance. Experience with CPU-, GPU-, FPGA-, or accelerator-based heterogeneous computing architectures. Experience with publish/subscribe middleware, quality-of-service controls, high-rate data distribution, precision timing, and distributed time synchronization. Experience designing cybersecurity controls for embedded or mission systems, including trust boundaries, least privilege, authentication, authorization, secure communications, and software integrity. Experience with HIL/SIL environments, simulation systems, laboratory integration, flight testing, or operational deployment. Experience evaluating supplier designs, RTOSs, middleware, computing platforms, or third-party software for architectural compliance and integration readiness. Active or previously held U.S. Department of Defense Secret clearance. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Mission Systems Software Engineer will work on developing solutions of a real time system environment to provide mission computing support at the center of an autonomous aircraft with sensor and weapons. This role will work to establish a software architecture for a real time system that operates in a multi-level environment at real time. The role will require work with hardware, software and systems teams to come to a consensus design. This role will focus on development of new systems and software designs from PDR, CoDR, CDR to lab test, flight test and fielding. What you'll do: Serve as a software mission systems engineer for a safety- and mission-critical real-time mission-computing system aligned with A-GRA and AMS-GRA principles, profiles, interfaces, and data standards. Define and maintain the end-to-end software architecture, including mission applications, platform services, middleware, operating-system interfaces, hardware-abstraction layers, networking, data distribution, component boundaries, and APIs. Architect for deterministic real-time performance by addressing scheduling, latency, jitter, synchronization, throughput, resource utilization, distributed processing, and CPU/GPU/accelerator allocation. Develop architecture views, interface definitions, data-flow and deployment models, sequence and timing diagrams, resource budgets, trade studies, and technical decision records. Integrate sensors, effectors, communications, navigation, autonomy, mission management, command-and-control, data-processing, and vehicle services in collaboration with hardware, FPGA, cybersecurity, safety, systems, integration, and test teams. Design for mission resilience and assurance through fault detection and isolation, redundancy, graceful degradation, recovery, health monitoring, cybersecurity, airworthiness, certification, and requirements traceability. Establish engineering practices for concurrency, synchronization, memory and resource management, deterministic execution, interface control, configuration management, and predictable component integration. Define and execute verification strategies across HIL/SIL laboratories, simulations, test benches, flight-test environments, and deployed systems using automated, performance, stress, fault-injection, interface, and timing tests. Maintain technical ownership throughout the system lifecycle by evaluating enabling technologies and supplier designs, analyzing performance, managing technical debt and modernization roadmaps, promoting reuse, and communicating architectural decisions. Required qualifications: Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Systems Engineering, Aerospace Engineering, Electrical Engineering, or a related technical field. 8+ years of professional software-engineering experience, including 3+ years in software architecture, systems architecture, or technical leadership. Experience developing embedded, distributed, real-time, safety-critical, or mission-critical software systems. Proficiency in C, C++, Rust, or another strongly typed systems-programming language. Strong understanding of real-time software principles, including scheduling, concurrency, synchronization, latency, jitter, memory management, and deterministic execution. Experience with embedded operating systems or RTOSs, middleware, interprocess communication, networking, and data-distribution technologies. Experience defining software architectures, APIs, interface-control documents, data flows, deployment models, and system resource budgets. Experience integrating software with hardware, sensors, communications systems, navigation systems, effectors, or other mission-system components. Experience supporting software through requirements development, design reviews, implementation, integration, verification, system test, and deployment. Working knowledge of systems-engineering processes, requirements management, traceability, configuration management, and verification and validation. Ability to analyze system performance using instrumentation, telemetry, traces, profiling, network captures, timing data, and resource-utilization measurements. Strong cross-functional technical leadership, problem-solving, written communication, and presentation skills. Ability to obtain and maintain a U.S. Department of Defense security clearance; U.S. citizenship may be required for clearance eligibility. Preferred qualifications: Experience developing software for autonomous aircraft, unmanned aircraft systems, avionics, mission computers, robotics, or aerospace and defense platforms. Experience with A-GRA, AMS-GRA, OMS, UCI, FACE, or other government reference architectures and open-mission-system standards. Experience integrating autonomy, mission management, command-and-control, sensor processing, communications, navigation, and effector capabilities. Familiarity with airworthiness, safety-assurance, or certification standards such as DO-178C, DO-254, ARP4754A, or applicable military airworthiness guidance. Experience with CPU-, GPU-, FPGA-, or accelerator-based heterogeneous computing architectures. Experience with publish/subscribe middleware, quality-of-service controls, high-rate data distribution, precision timing, and distributed time synchronization. Experience designing cybersecurity controls for embedded or mission systems, including trust boundaries, least privilege, authentication, authorization, secure communications, and software integrity. Experience with HIL/SIL environments, simulation systems, laboratory integration, flight testing, or operational deployment. Experience evaluating supplier designs, RTOSs, middleware, computing platforms, or third-party software for architectural compliance and integration readiness. Active or previously held U.S. Department of Defense Secret clearance. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Mission Systems Software Engineer will work on developing solutions of a real time system environment to provide mission computing support at the center of an autonomous aircraft with sensor and weapons. This role will work to establish a software architecture for a real time system that operates in a multi-level environment at real time. The role will require work with hardware, software and systems teams to come to a consensus design. This role will focus on development of new systems and software designs from PDR, CoDR, CDR to lab test, flight test and fielding. What you'll do: Serve as a software mission systems engineer for a safety- and mission-critical real-time mission-computing system aligned with A-GRA and AMS-GRA principles, profiles, interfaces, and data standards. Define and maintain the end-to-end software architecture, including mission applications, platform services, middleware, operating-system interfaces, hardware-abstraction layers, networking, data distribution, component boundaries, and APIs. Architect for deterministic real-time performance by addressing scheduling, latency, jitter, synchronization, throughput, resource utilization, distributed processing, and CPU/GPU/accelerator allocation. Develop architecture views, interface definitions, data-flow and deployment models, sequence and timing diagrams, resource budgets, trade studies, and technical decision records. Integrate sensors, effectors, communications, navigation, autonomy, mission management, command-and-control, data-processing, and vehicle services in collaboration with hardware, FPGA, cybersecurity, safety, systems, integration, and test teams. Design for mission resilience and assurance through fault detection and isolation, redundancy, graceful degradation, recovery, health monitoring, cybersecurity, airworthiness, certification, and requirements traceability. Establish engineering practices for concurrency, synchronization, memory and resource management, deterministic execution, interface control, configuration management, and predictable component integration. Define and execute verification strategies across HIL/SIL laboratories, simulations, test benches, flight-test environments, and deployed systems using automated, performance, stress, fault-injection, interface, and timing tests. Maintain technical ownership throughout the system lifecycle by evaluating enabling technologies and supplier designs, analyzing performance, managing technical debt and modernization roadmaps, promoting reuse, and communicating architectural decisions. Required qualifications: Senior: Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Systems Engineering, Aerospace Engineering, Electrical Engineering, or a related technical field with 5+ years of professional software-engineering experience, including 1+ years in software architecture, systems architecture, or technical leadership. Staff: Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Systems Engineering, Aerospace Engineering, Electrical Engineering, or a related technical field with 8+ years of professional software-engineering experience, including 3+ years in software architecture, systems architecture, or technical leadership. Senior Staff: Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Systems Engineering, Aerospace Engineering, Electrical Engineering, or a related technical field with 10+ years of professional software-engineering experience, including 5+ years in software architecture, systems architecture, or technical leadership. Experience developing embedded, distributed, real-time, safety-critical, or mission-critical software systems. Proficiency in C, C++, Rust, or another strongly typed systems-programming language. Strong understanding of real-time software principles, including scheduling, concurrency, synchronization, latency, jitter, memory management, and deterministic execution. Experience with embedded operating systems or RTOSs, middleware, interprocess communication, networking, and data-distribution technologies. Experience defining software architectures, APIs, interface-control documents, data flows, deployment models, and system resource budgets. Experience integrating software with hardware, sensors, communications systems, navigation systems, effectors, or other mission-system components. Experience supporting software through requirements development, design reviews, implementation, integration, verification, system test, and deployment. Working knowledge of systems-engineering processes, requirements management, traceability, configuration management, and verification and validation. Ability to analyze system performance using instrumentation, telemetry, traces, profiling, network captures, timing data, and resource-utilization measurements. Strong cross-functional technical leadership, problem-solving, written communication, and presentation skills. Ability to obtain and maintain a U.S. Department of Defense security clearance; U.S. citizenship may be required for clearance eligibility. Preferred qualifications: Experience developing software for autonomous aircraft, unmanned aircraft systems, avionics, mission computers, robotics, or aerospace and defense platforms. Experience with A-GRA, AMS-GRA, OMS, UCI, FACE, or other government reference architectures and open-mission-system standards. Experience integrating autonomy, mission management, command-and-control, sensor processing, communications, navigation, and effector capabilities. Familiarity with airworthiness, safety-assurance, or certification standards such as DO-178C, DO-254, ARP4754A, or applicable military airworthiness guidance. Experience with CPU-, GPU-, FPGA-, or accelerator-based heterogeneous computing architectures. Experience with publish/subscribe middleware, quality-of-service controls, high-rate data distribution, precision timing, and distributed time synchronization. Experience designing cybersecurity controls for embedded or mission systems, including trust boundaries, least privilege, authentication, authorization, secure communications, and software integrity. Experience with HIL/SIL environments, simulation systems, laboratory integration, flight testing, or operational deployment. Experience evaluating supplier designs, RTOSs, middleware, computing platforms, or third-party software for architectural compliance and integration readiness. Active or previously held U.S. Department of Defense Secret clearance. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Mission Systems Software Engineer will work on developing solutions of a real time system environment to provide mission computing support at the center of an autonomous aircraft with sensor and weapons. This role will work to establish a software architecture for a real time system that operates in a multi-level environment at real time. The role will require work with hardware, software and systems teams to come to a consensus design. This role will focus on development of new systems and software designs from PDR, CoDR, CDR to lab test, flight test and fielding. What you'll do: Serve as a software mission systems engineer for a safety- and mission-critical real-time mission-computing system aligned with A-GRA and AMS-GRA principles, profiles, interfaces, and data standards. Define and maintain the end-to-end software architecture, including mission applications, platform services, middleware, operating-system interfaces, hardware-abstraction layers, networking, data distribution, component boundaries, and APIs. Architect for deterministic real-time performance by addressing scheduling, latency, jitter, synchronization, throughput, resource utilization, distributed processing, and CPU/GPU/accelerator allocation. Develop architecture views, interface definitions, data-flow and deployment models, sequence and timing diagrams, resource budgets, trade studies, and technical decision records. Integrate sensors, effectors, communications, navigation, autonomy, mission management, command-and-control, data-processing, and vehicle services in collaboration with hardware, FPGA, cybersecurity, safety, systems, integration, and test teams. Design for mission resilience and assurance through fault detection and isolation, redundancy, graceful degradation, recovery, health monitoring, cybersecurity, airworthiness, certification, and requirements traceability. Establish engineering practices for concurrency, synchronization, memory and resource management, deterministic execution, interface control, configuration management, and predictable component integration. Define and execute verification strategies across HIL/SIL laboratories, simulations, test benches, flight-test environments, and deployed systems using automated, performance, stress, fault-injection, interface, and timing tests. Maintain technical ownership throughout the system lifecycle by evaluating enabling technologies and supplier designs, analyzing performance, managing technical debt and modernization roadmaps, promoting reuse, and communicating architectural decisions. Required qualifications: Senior: Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Systems Engineering, Aerospace Engineering, Electrical Engineering, or a related technical field with 5+ years of professional software-engineering experience, including 1+ years in software architecture, systems architecture, or technical leadership. Staff: Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Systems Engineering, Aerospace Engineering, Electrical Engineering, or a related technical field with 8+ years of professional software-engineering experience, including 3+ years in software architecture, systems architecture, or technical leadership. Senior Staff: Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Systems Engineering, Aerospace Engineering, Electrical Engineering, or a related technical field with 10+ years of professional software-engineering experience, including 5+ years in software architecture, systems architecture, or technical leadership. Experience developing embedded, distributed, real-time, safety-critical, or mission-critical software systems. Proficiency in C, C++, Rust, or another strongly typed systems-programming language. Strong understanding of real-time software principles, including scheduling, concurrency, synchronization, latency, jitter, memory management, and deterministic execution. Experience with embedded operating systems or RTOSs, middleware, interprocess communication, networking, and data-distribution technologies. Experience defining software architectures, APIs, interface-control documents, data flows, deployment models, and system resource budgets. Experience integrating software with hardware, sensors, communications systems, navigation systems, effectors, or other mission-system components. Experience supporting software through requirements development, design reviews, implementation, integration, verification, system test, and deployment. Working knowledge of systems-engineering processes, requirements management, traceability, configuration management, and verification and validation. Ability to analyze system performance using instrumentation, telemetry, traces, profiling, network captures, timing data, and resource-utilization measurements. Strong cross-functional technical leadership, problem-solving, written communication, and presentation skills. Ability to obtain and maintain a U.S. Department of Defense security clearance; U.S. citizenship may be required for clearance eligibility. Preferred qualifications: Experience developing software for autonomous aircraft, unmanned aircraft systems, avionics, mission computers, robotics, or aerospace and defense platforms. Experience with A-GRA, AMS-GRA, OMS, UCI, FACE, or other government reference architectures and open-mission-system standards. Experience integrating autonomy, mission management, command-and-control, sensor processing, communications, navigation, and effector capabilities. Familiarity with airworthiness, safety-assurance, or certification standards such as DO-178C, DO-254, ARP4754A, or applicable military airworthiness guidance. Experience with CPU-, GPU-, FPGA-, or accelerator-based heterogeneous computing architectures. Experience with publish/subscribe middleware, quality-of-service controls, high-rate data distribution, precision timing, and distributed time synchronization. Experience designing cybersecurity controls for embedded or mission systems, including trust boundaries, least privilege, authentication, authorization, secure communications, and software integrity. Experience with HIL/SIL environments, simulation systems, laboratory integration, flight testing, or operational deployment. Experience evaluating supplier designs, RTOSs, middleware, computing platforms, or third-party software for architectural compliance and integration readiness. Active or previously held U.S. Department of Defense Secret clearance. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Application and database upgrades. Upgrade Oracle Database Standard Edition to Enterprise EditionResponsible for the Administration Oracle server Databases. Review and QA Database ProgramsAutomation of data conversion scripts, refresh environments, documentationAssist with server patching and data center relocation Oracle Admin to support many Oracle initiatives but primarily for Oracle database upgrade projects for Amos and Crunchtime applications. General support for Fidelio and day-to-day operational tasks. Responsible for the administration of the Oracle server Databases on ship and shore which includes install, patching, upgrades, performance tuning, backup and recovery, refresh, configuration, development team support, user administration, security, database, deployment as needed and audit compliance and standards. Maintenance and update Database Systems documents as needed. Required skills/competencies: Oracle Database Administrator, Operations Job Summary for Oracle DBA, You will be part of the team responsible for the implementation, planning, coordination, configuration, installation, upgrade and ongoing management of all Oracle Databases. Very proficient with AWR, ADDM tools.Key responsibilities include the identification and resolution of hardware, software or database problems/outages in any of the services. These responsibilities require 24x7 coverage and response to systems alerts during after-hour periods. Specific database performance issues, error messages or service problems will be routed directly to the Database Administrator. You will work closely with Systems Engineering to test planned databases upgrades, including definitions, structures, and/or documentation, as well as provide input into long-range database requirements and operational guidelines. Additionally you will use best operating practices to establish and maintain security and integrity controls. The DBA will formulate and monitor policies, procedures and standards relating to database management; propose and implement enhancements that will improve the performance and reliability of the system; proactively research and locate necessary tools and processes to identify and proactively avert troublesome trends, as they develop in order to ensure a stable performance environment for the production environment. Required Skills/Experience: • Bachelor's degree • 5-7 years Oracle DBA experience, 5+ years in a 24/7/365 environment • Experience with highly available database solutions / architectures such as Oracle RAC and Standby Databases. • Experience in database design required. • Experience with AIX, Linux and Windows are desired. • Oracle Performance Tuning Experience (AWR, ADDM)• Experience working in secure enterprise database environments • Experience with RMAN • Experience with Exp/Imp, dpexp/dpimp Oracle tools. • Extensive knowledge with ASM • Experience performing a full restore to an Oracle database from tape. • Disaster Recovery Experience. • Strong SQL Programming, preferably Oracle with the ability to write complex SQL queries - understanding of views, stored procedures, triggers & an understanding of query optimization. • Excellent SQL and PL/SQL skills • Experience with database layouts on high performance disk subsystems required In addition candidate must exhibit the following: • Candidate MUST have extensive experience working in structured change management processes for highly available enterprise database systems • Excellent communication skills, both written and verbal • Strong interpersonal and relationship building skills conducive to team development • Ability to perform needs assessment and handle technical objections Additional Information:• Competency in writing/analyzing PL/SQL, Korn shell scripts, et al. • Competency with data conversion, re-platform and transfer of data from on-premises to cloud Preferred Skills: Oracle database upgrade experience is a must from 11g to 12c/18g/19g. Preferred Education: Bachelors Degree or equivalent

Job Description Job Description ABOUT ROCKET LAB Rocket Lab is the end-to-end space company building rockets, spacecraft, and critical subsystems that keep the world connected, protected, expand humanity's reach to the Moon, Mars, and beyond. We move fast, build real hardware for meaningful missions, and make the impossible routine. Come shape the future with us. SPACE SYSTEMS Rocket Lab's Space Systems division builds complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space including solar panels, flight software, star trackers, optical systems, separation systems, and radios. The Space Systems division has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. We have built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it's a single high-performance spacecraft, constellation, or the vertically integrated components that help get to space - our Space Systems division is empowering the boldest and most ambitious space missions. PRINCIAL MACHINE LEARNING ENGINEER Rocket Lab Optical Systems solves mission-critical space domain and Intelligence, Surveillance, and Reconnaissance challenges for Department of Defense and Intelligence Community customers. Our vision is to revolutionize the space-based payload market with innovative and novel designs for space, terrestrial, and airborne environments. Building on more than 20 years of electro-optical and infrared systems innovation from Geost, Rocket Lab Optical Systems delivers solutions to the warfighter for responsive, scalable sensing solutions across all orbital domains. As Principal Machine Learning Engineer for Rocket Lab Optical Systems in Long Beach, CA, you will have the opportunity to support Tranche 3 of the U.S. Space Development Agency's (SDA) Proliferated Warfighter Space Architecture (PWSA) and beyond by building deep learning neural networks for advanced Electro-Optical (EO/IR) image processing. WHAT YOU'LL DO Develop computer vision algorithms and deep neural networks for image and video processing chains. Collaborate with other researchers/engineers on artificial intelligence, machine learning, and computer vision. Work with physics-based image simulation frameworks to scale training and validation data. Design, train, and deploy machine learning models for Optical Systems applications. Preform rapid prototyping and enhanced development to be integrated into operational systems. Perform troubleshooting, bug fixes, and maintenance of existing and new systems. Stay current with ML research and evaluate new tools, frameworks, and techniques. WHAT WE'RE LOOKING FOR IN A PRINCIPAL MACHINE LEARNING ENGINEER: Bachelor's degree and 12+ years of experience, master's degree or a Ph.D. in Computer Science, Electrical and Computer Engineering, Mechanical Engineering, Physics, or related field. Strong background in math and fundamentals of machine learning, including model selection, architecting, training, validation, testing, and deployment Experience in building deep learning neural networks (e.g., CNN) for computer vision, image processing, or analyses, e.g., object detection, image segmentation, and tracking) Strong math background, particularly linear algebra and optimization theory Proficiency in Python Experience with deep learning libraries (Keras, TensorFlow, Pytorch, etc) Software engineering fundamentals: version control, testing, CI/CD, containerization S. citizenship is required due to program requirements. Ability to obtain and maintain a U.S. Government Security Clearance. NICE TO HAVE: Proficiency in C/C++/Rust. Experience curating quality, real-world datasets for training deep learning models. TS/SCI security clearance. This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas. This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas. Anticipated annual equity grant value is designed around function, level, experience, and other factors; realized value depends on vesting and stock-price performance. Join one of the world's fastest-growing space companies and own a piece of it. In addition to competitive base pay, you'll receive company stock as part of your total compensation package , giving you a direct stake in our success. As we expand to new launch sites, groundbreaking missions, and global markets, your ownership has the opportunity to grow alongside the company. Our comprehensive benefits package includes our industry-leading Employee Stock Purchase Program (with a 15% discount on company stock), top-tier medical plans (HMO, PPO, and a zero cost HDHP option with a significant HSA company contribution), dental and vision coverage, paid vacation and sick time, 11 paid holidays, flexible spending and dependent care accounts, paid parental leave, disability and life insurance, and a 401(k) retirement plan with company match. Additional perks include subsidized EV charging, onsite fitness centers (where available), discounted gym memberships, complimentary snacks and beverages, 50% employee discount on our popular merch store, and a variety of other employee discounts. Level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Total Compensation (base and equity) $198,900-$318,200 USD Base Salary $153,000-$204,000 USD WHAT TO EXPECT We're on a mission to unlock the potential of space to improve life on Earth, but that's not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work, and out-pace. We pride ourselves on having each other's backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way. Important information: FOR CANDIDATES SEEKING TO WORK IN US OFFICES ONLY: To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Rocket Lab Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. Learn more about ITAR here. Rocket Lab provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment at Rocket Lab, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Applicants requiring a reasonable accommodation for the application/interview process for a job in the United States should contact Giulia Johnson at dedicated resource is intended solely to assist job seekers with disabilities whose disability prevents them from being able to apply/interview. Only messages left for this purpose will be considered. A response to your request may take up to two business days. FOR CANDIDATES SEEKING TO WORK IN NEW ZEALAND OFFICES ONLY: For security reasons, background checks will be undertaken prior to any employment offers being made to an applicant. These checks will include nationality checks as it is a requirement of this position that you be eligible to access equipment and data regulated by the United States' International Traffic in Arms Regulations. Under these Regulations, you may be ineligible for this role if you do not hold citizenship of Australia, Japan, New Zealand, Switzerland, the European Union, or a country that is part of NATO, or if you hold ineligible dual citizenship or nationality. For more information on these Regulations, click here ITAR Regulations.

Job Description Job Description About Runware Runware is the AI inference platform that builds and operates its own infrastructure, end to end. One API gives developers access to image, video, audio, 3D and language models, and our Sonic Inference Engine runs them on hardware we designed ourselves: custom servers, custom boards and a closed-loop, water-free cooling system, packed into Sonic Inference Pods - roughly 1 MW of liquid-cooled GPU compute in a 20-foot container that can be sited wherever power is cheap and available. This is why infrastructure at Runware is the product, not a cost center. Our edge is that we run inference 30-90% cheaper per GPU-hour than our peers, and that edge is earned in the data center: in how fast we can stand up a new site, how tightly we run our fleet, and how little downtime our customers ever see. More than 20 billion requests have run through the platform for over a million developers, with customers such as Wix, Quora, Freepik and Higgsfield building production applications on top of it. We raised a $50M Series A led by Dawn Capital, with Comcast Ventures, Speedinvest, Insight Partners and a16z speedrun participating, and we are now building out a global network of pods across the US and Europe. We need someone to own how that network is operated. The Role As Network Architect, you'll own the design, build, and operation of the network that moves every inference request through Runware: the GPU cluster fabric inside our data centers, the backbone and edge that deliver results to customers, and the cloud and hybrid connectivity that ties partner capacity into one platform. Runware's product is latency. The network is where a large share of that latency, and of our cost per request, is decided, and today there is no single owner for it. You'll be that owner. This is a senior, hands-on architecture role with significant authority and no direct reports to start. You'll report to Risto Haukioja, Head of AI Infrastructure. You'll set the network strategy, design and build the systems yourself, define how they are operated and capacity-planned, and lead through design authority across Infrastructure, Platform, and ML Engineering. You've run high-performance teams before, and you'll shape the standards and hiring plan for network engineering as the footprint grows. We expect you to use AI tooling as a core part of how you work, so that one architect can produce what a small team used to. What you'll do Own the network architecture end to end. Define the target architecture and multi-year roadmap for Runware's data center fabric, backbone and edge, and cloud and hybrid connectivity, and make the design decisions that trade off latency, throughput, cost, and resilience. Design and build the GPU cluster fabric. Architect spine-leaf fabrics for multi-node inference and training: 400G/800G Ethernet, RoCEv2 and InfiniBand, lossless transport, congestion control, and topology choices that keep east-west traffic from becoming the bottleneck. Deliver inference to customers fast and reliably. Own the backbone and edge: multi-region interconnect, transit and peering strategy, anycast and traffic steering, DDoS and edge security posture, and the path that gets every response to the customer with as few milliseconds as possible. Connect cloud, bare metal, and partner capacity into one platform. Design VPC, VPN, and private interconnect across hyperscalers, bare-metal providers, and colocation sites so new capacity can be brought online quickly and operated consistently. Build network operations, not just networks. Define how the network is monitored, changed, and repaired: telemetry and observability, change management, incident runbooks, and on-call practices that hold up at scale. Stand up what doesn't exist yet. Run capacity planning. Build the models that forecast bandwidth, port, and interconnect needs from product growth, and turn them into procurement and build plans with lead times that match the business, not the other way round. Automate the network. Treat network configuration as code: IaC, intent-based provisioning, automated validation and rollback, and telemetry-driven remediation, so the network can grow without a proportional growth in people. Accelerate your own output with AI. Use AI tools throughout your work (design exploration, configuration generation, log and telemetry analysis, documentation, automation code) and set the standard for how the wider infrastructure team does the same. Lead through design authority. Set network standards, review designs across Infrastructure, Platform, and ML Engineering, mentor engineers, and define the hiring plan and operating model for network engineering as the footprint grows. Own vendor and carrier relationships. Evaluate and select hardware, optics, carriers, and interconnect partners, and negotiate for performance and cost. Requirements 15+ years in network engineering and architecture, including at least 5 years as the design authority for large-scale production networks at a cloud provider, hyperscaler, CDN, HPC/AI infrastructure company, or carrier. Hands-on. You still design, configure, and troubleshoot networks yourself, and you've built data center, backbone, and cloud networks from the ground up, not just inherited them. Deep, current expertise in modern data center networking: spine-leaf Clos fabrics, EVPN/VXLAN, BGP at scale, 400G/800G Ethernet, RoCEv2 and lossless Ethernet (PFC, ECN, DCQCN), and InfiniBand for GPU clusters. Strong backbone and edge experience: multi-region interconnect, transit and peering, anycast, traffic engineering, and DDoS mitigation, with a track record of measurably reducing customer-facing latency. Cloud and hybrid networking across at least two hyperscalers plus bare-metal or colocation environments: VPC design, private interconnect (Direct Connect, ExpressRoute, Cloud Interconnect or equivalent), and VPN at scale. Experience designing and running network operations: observability, change management, incident response, and on-call, with the judgement to know what to build first when starting from little. Proven capacity planning: you've built forecasting models that turned product growth into bandwidth, port, and interconnect plans, and you've run the procurement cycles that followed. Network automation as a working practice, not an aspiration: Python or Go, IaC for network config, CI-style validation, and streaming telemetry. You use AI to accelerate your own output. You can show how AI tooling is part of how you design, write configuration and automation code, analyse telemetry, and document, and you expect it to multiply what you ship. Experience leading high-performance engineering teams: you've hired, set standards, and run teams that delivered under pressure, and you lead well through influence when you have no direct reports. Strong ownership and comfort in a fast-moving, ambiguous environment where you identify the problems, create clarity, and drive the work to done. Based in, or with full working overlap with, US Pacific time. Strong Differentiators Experience networking large GPU clusters for AI inference or training (NVIDIA Spectrum-X, Quantum InfiniBand, NCCL tuning, GPUDirect RDMA), and an opinion on Ethernet versus InfiniBand backed by production numbers. Hands-on with modern network operating systems and disaggregated hardware: SONiC, Cumulus, Arista EOS, Junos, or NVIDIA Cumulus/Spectrum platforms. Experience with Ultra Ethernet, 800G and 1.6T optics, co-packaged optics, or other emerging fabric technologies. Experience running peering and transit for a latency-sensitive product, including ASN management, route optimisation, and IXP presence. Experience with eBPF, DPDK, SmartNICs/DPUs, or kernel-bypass networking on the host side. Prior work at a startup or scale-up where you built the network function from zero. Public contributions: RFCs, open-source network tooling, conference talks, or published post-mortems. Benefits We're a remote-first collective, meeting in person twice a year to plan, brainstorm, celebrate wins, and enjoy some face-to-face time. We have core hours for cooperative working and calls, but outside of that your calendar is yours. Work the hours that let you perform at your peak while also building a healthy life. Our release cycles are fast and intense, but they're followed by real downtime. After big pushes we expect the team to unplug, recharge, and come back ready and stronger than ever for the next leap. Generous paid time off: vacation, sick days, public holidays Meaningful stock options: share in the upside you create Flexible hours: own your schedule outside core collaboration blocks Family leave: paid maternity, paternity, and caregiver time Company retreats: twice-yearly gatherings in inspiring locations

Job Description Job Description About Runware Runware is the AI inference platform that builds and operates its own infrastructure, end to end. One API gives developers access to image, video, audio, 3D and language models, and our Sonic Inference Engine runs them on hardware we designed ourselves: custom servers, custom boards and a closed-loop, water-free cooling system, packed into Sonic Inference Pods - roughly 1 MW of liquid-cooled GPU compute in a 20-foot container that can be sited wherever power is cheap and available. This is why infrastructure at Runware is the product, not a cost center. Our edge is that we run inference 30-90% cheaper per GPU-hour than our peers, and that edge is earned in the data center: in how fast we can stand up a new site, how tightly we run our fleet, and how little downtime our customers ever see. More than 20 billion requests have run through the platform for over a million developers, with customers such as Wix, Quora, Freepik and Higgsfield building production applications on top of it. We raised a $50M Series A led by Dawn Capital, with Comcast Ventures, Speedinvest, Insight Partners and a16z speedrun participating, and we are now building out a global network of pods across the US and Europe. We need someone to own how that network is operated. The Role As Network Architect, you'll own the design, build, and operation of the network that moves every inference request through Runware: the GPU cluster fabric inside our data centers, the backbone and edge that deliver results to customers, and the cloud and hybrid connectivity that ties partner capacity into one platform. Runware's product is latency. The network is where a large share of that latency, and of our cost per request, is decided, and today there is no single owner for it. You'll be that owner. This is a senior, hands-on architecture role with significant authority and no direct reports to start. You'll report to Risto Haukioja, Head of AI Infrastructure. You'll set the network strategy, design and build the systems yourself, define how they are operated and capacity-planned, and lead through design authority across Infrastructure, Platform, and ML Engineering. You've run high-performance teams before, and you'll shape the standards and hiring plan for network engineering as the footprint grows. We expect you to use AI tooling as a core part of how you work, so that one architect can produce what a small team used to. What you'll do Own the network architecture end to end. Define the target architecture and multi-year roadmap for Runware's data center fabric, backbone and edge, and cloud and hybrid connectivity, and make the design decisions that trade off latency, throughput, cost, and resilience. Design and build the GPU cluster fabric. Architect spine-leaf fabrics for multi-node inference and training: 400G/800G Ethernet, RoCEv2 and InfiniBand, lossless transport, congestion control, and topology choices that keep east-west traffic from becoming the bottleneck. Deliver inference to customers fast and reliably. Own the backbone and edge: multi-region interconnect, transit and peering strategy, anycast and traffic steering, DDoS and edge security posture, and the path that gets every response to the customer with as few milliseconds as possible. Connect cloud, bare metal, and partner capacity into one platform. Design VPC, VPN, and private interconnect across hyperscalers, bare-metal providers, and colocation sites so new capacity can be brought online quickly and operated consistently. Build network operations, not just networks. Define how the network is monitored, changed, and repaired: telemetry and observability, change management, incident runbooks, and on-call practices that hold up at scale. Stand up what doesn't exist yet. Run capacity planning. Build the models that forecast bandwidth, port, and interconnect needs from product growth, and turn them into procurement and build plans with lead times that match the business, not the other way round. Automate the network. Treat network configuration as code: IaC, intent-based provisioning, automated validation and rollback, and telemetry-driven remediation, so the network can grow without a proportional growth in people. Accelerate your own output with AI. Use AI tools throughout your work (design exploration, configuration generation, log and telemetry analysis, documentation, automation code) and set the standard for how the wider infrastructure team does the same. Lead through design authority. Set network standards, review designs across Infrastructure, Platform, and ML Engineering, mentor engineers, and define the hiring plan and operating model for network engineering as the footprint grows. Own vendor and carrier relationships. Evaluate and select hardware, optics, carriers, and interconnect partners, and negotiate for performance and cost. Requirements 15+ years in network engineering and architecture, including at least 5 years as the design authority for large-scale production networks at a cloud provider, hyperscaler, CDN, HPC/AI infrastructure company, or carrier. Hands-on. You still design, configure, and troubleshoot networks yourself, and you've built data center, backbone, and cloud networks from the ground up, not just inherited them. Deep, current expertise in modern data center networking: spine-leaf Clos fabrics, EVPN/VXLAN, BGP at scale, 400G/800G Ethernet, RoCEv2 and lossless Ethernet (PFC, ECN, DCQCN), and InfiniBand for GPU clusters. Strong backbone and edge experience: multi-region interconnect, transit and peering, anycast, traffic engineering, and DDoS mitigation, with a track record of measurably reducing customer-facing latency. Cloud and hybrid networking across at least two hyperscalers plus bare-metal or colocation environments: VPC design, private interconnect (Direct Connect, ExpressRoute, Cloud Interconnect or equivalent), and VPN at scale. Experience designing and running network operations: observability, change management, incident response, and on-call, with the judgement to know what to build first when starting from little. Proven capacity planning: you've built forecasting models that turned product growth into bandwidth, port, and interconnect plans, and you've run the procurement cycles that followed. Network automation as a working practice, not an aspiration: Python or Go, IaC for network config, CI-style validation, and streaming telemetry. You use AI to accelerate your own output. You can show how AI tooling is part of how you design, write configuration and automation code, analyse telemetry, and document, and you expect it to multiply what you ship. Experience leading high-performance engineering teams: you've hired, set standards, and run teams that delivered under pressure, and you lead well through influence when you have no direct reports. Strong ownership and comfort in a fast-moving, ambiguous environment where you identify the problems, create clarity, and drive the work to done. Based in, or with full working overlap with, US Pacific time. Strong Differentiators Experience networking large GPU clusters for AI inference or training (NVIDIA Spectrum-X, Quantum InfiniBand, NCCL tuning, GPUDirect RDMA), and an opinion on Ethernet versus InfiniBand backed by production numbers. Hands-on with modern network operating systems and disaggregated hardware: SONiC, Cumulus, Arista EOS, Junos, or NVIDIA Cumulus/Spectrum platforms. Experience with Ultra Ethernet, 800G and 1.6T optics, co-packaged optics, or other emerging fabric technologies. Experience running peering and transit for a latency-sensitive product, including ASN management, route optimisation, and IXP presence. Experience with eBPF, DPDK, SmartNICs/DPUs, or kernel-bypass networking on the host side. Prior work at a startup or scale-up where you built the network function from zero. Public contributions: RFCs, open-source network tooling, conference talks, or published post-mortems. Benefits We're a remote-first collective, meeting in person twice a year to plan, brainstorm, celebrate wins, and enjoy some face-to-face time. We have core hours for cooperative working and calls, but outside of that your calendar is yours. Work the hours that let you perform at your peak while also building a healthy life. Our release cycles are fast and intense, but they're followed by real downtime. After big pushes we expect the team to unplug, recharge, and come back ready and stronger than ever for the next leap. Generous paid time off: vacation, sick days, public holidays Meaningful stock options: share in the upside you create Flexible hours: own your schedule outside core collaboration blocks Family leave: paid maternity, paternity, and caregiver time Company retreats: twice-yearly gatherings in inspiring locations

Job Description Job Description About Runware Runware is the AI inference platform that builds and operates its own infrastructure, end to end. One API gives developers access to image, video, audio, 3D and language models, and our Sonic Inference Engine runs them on hardware we designed ourselves: custom servers, custom boards and a closed-loop, water-free cooling system, packed into Sonic Inference Pods - roughly 1 MW of liquid-cooled GPU compute in a 20-foot container that can be sited wherever power is cheap and available. This is why infrastructure at Runware is the product, not a cost center. Our edge is that we run inference 30-90% cheaper per GPU-hour than our peers, and that edge is earned in the data center: in how fast we can stand up a new site, how tightly we run our fleet, and how little downtime our customers ever see. More than 20 billion requests have run through the platform for over a million developers, with customers such as Wix, Quora, Freepik and Higgsfield building production applications on top of it. We raised a $50M Series A led by Dawn Capital, with Comcast Ventures, Speedinvest, Insight Partners and a16z speedrun participating, and we are now building out a global network of pods across the US and Europe. We need someone to own how that network is operated. The Role As Network Architect, you'll own the design, build, and operation of the network that moves every inference request through Runware: the GPU cluster fabric inside our data centers, the backbone and edge that deliver results to customers, and the cloud and hybrid connectivity that ties partner capacity into one platform. Runware's product is latency. The network is where a large share of that latency, and of our cost per request, is decided, and today there is no single owner for it. You'll be that owner. This is a senior, hands-on architecture role with significant authority and no direct reports to start. You'll report to Risto Haukioja, Head of AI Infrastructure. You'll set the network strategy, design and build the systems yourself, define how they are operated and capacity-planned, and lead through design authority across Infrastructure, Platform, and ML Engineering. You've run high-performance teams before, and you'll shape the standards and hiring plan for network engineering as the footprint grows. We expect you to use AI tooling as a core part of how you work, so that one architect can produce what a small team used to. What you'll do Own the network architecture end to end. Define the target architecture and multi-year roadmap for Runware's data center fabric, backbone and edge, and cloud and hybrid connectivity, and make the design decisions that trade off latency, throughput, cost, and resilience. Design and build the GPU cluster fabric. Architect spine-leaf fabrics for multi-node inference and training: 400G/800G Ethernet, RoCEv2 and InfiniBand, lossless transport, congestion control, and topology choices that keep east-west traffic from becoming the bottleneck. Deliver inference to customers fast and reliably. Own the backbone and edge: multi-region interconnect, transit and peering strategy, anycast and traffic steering, DDoS and edge security posture, and the path that gets every response to the customer with as few milliseconds as possible. Connect cloud, bare metal, and partner capacity into one platform. Design VPC, VPN, and private interconnect across hyperscalers, bare-metal providers, and colocation sites so new capacity can be brought online quickly and operated consistently. Build network operations, not just networks. Define how the network is monitored, changed, and repaired: telemetry and observability, change management, incident runbooks, and on-call practices that hold up at scale. Stand up what doesn't exist yet. Run capacity planning. Build the models that forecast bandwidth, port, and interconnect needs from product growth, and turn them into procurement and build plans with lead times that match the business, not the other way round. Automate the network. Treat network configuration as code: IaC, intent-based provisioning, automated validation and rollback, and telemetry-driven remediation, so the network can grow without a proportional growth in people. Accelerate your own output with AI. Use AI tools throughout your work (design exploration, configuration generation, log and telemetry analysis, documentation, automation code) and set the standard for how the wider infrastructure team does the same. Lead through design authority. Set network standards, review designs across Infrastructure, Platform, and ML Engineering, mentor engineers, and define the hiring plan and operating model for network engineering as the footprint grows. Own vendor and carrier relationships. Evaluate and select hardware, optics, carriers, and interconnect partners, and negotiate for performance and cost. Requirements 15+ years in network engineering and architecture, including at least 5 years as the design authority for large-scale production networks at a cloud provider, hyperscaler, CDN, HPC/AI infrastructure company, or carrier. Hands-on. You still design, configure, and troubleshoot networks yourself, and you've built data center, backbone, and cloud networks from the ground up, not just inherited them. Deep, current expertise in modern data center networking: spine-leaf Clos fabrics, EVPN/VXLAN, BGP at scale, 400G/800G Ethernet, RoCEv2 and lossless Ethernet (PFC, ECN, DCQCN), and InfiniBand for GPU clusters. Strong backbone and edge experience: multi-region interconnect, transit and peering, anycast, traffic engineering, and DDoS mitigation, with a track record of measurably reducing customer-facing latency. Cloud and hybrid networking across at least two hyperscalers plus bare-metal or colocation environments: VPC design, private interconnect (Direct Connect, ExpressRoute, Cloud Interconnect or equivalent), and VPN at scale. Experience designing and running network operations: observability, change management, incident response, and on-call, with the judgement to know what to build first when starting from little. Proven capacity planning: you've built forecasting models that turned product growth into bandwidth, port, and interconnect plans, and you've run the procurement cycles that followed. Network automation as a working practice, not an aspiration: Python or Go, IaC for network config, CI-style validation, and streaming telemetry. You use AI to accelerate your own output. You can show how AI tooling is part of how you design, write configuration and automation code, analyse telemetry, and document, and you expect it to multiply what you ship. Experience leading high-performance engineering teams: you've hired, set standards, and run teams that delivered under pressure, and you lead well through influence when you have no direct reports. Strong ownership and comfort in a fast-moving, ambiguous environment where you identify the problems, create clarity, and drive the work to done. Based in, or with full working overlap with, US Pacific time. Strong Differentiators Experience networking large GPU clusters for AI inference or training (NVIDIA Spectrum-X, Quantum InfiniBand, NCCL tuning, GPUDirect RDMA), and an opinion on Ethernet versus InfiniBand backed by production numbers. Hands-on with modern network operating systems and disaggregated hardware: SONiC, Cumulus, Arista EOS, Junos, or NVIDIA Cumulus/Spectrum platforms. Experience with Ultra Ethernet, 800G and 1.6T optics, co-packaged optics, or other emerging fabric technologies. Experience running peering and transit for a latency-sensitive product, including ASN management, route optimisation, and IXP presence. Experience with eBPF, DPDK, SmartNICs/DPUs, or kernel-bypass networking on the host side. Prior work at a startup or scale-up where you built the network function from zero. Public contributions: RFCs, open-source network tooling, conference talks, or published post-mortems. Benefits We're a remote-first collective, meeting in person twice a year to plan, brainstorm, celebrate wins, and enjoy some face-to-face time. We have core hours for cooperative working and calls, but outside of that your calendar is yours. Work the hours that let you perform at your peak while also building a healthy life. Our release cycles are fast and intense, but they're followed by real downtime. After big pushes we expect the team to unplug, recharge, and come back ready and stronger than ever for the next leap. Generous paid time off: vacation, sick days, public holidays Meaningful stock options: share in the upside you create Flexible hours: own your schedule outside core collaboration blocks Family leave: paid maternity, paternity, and caregiver time Company retreats: twice-yearly gatherings in inspiring locations