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Job Description Job Description Position Description: As a MES Implementation Engineer, you will be responsible for supporting transformation initiatives for industrial clients by aligning shop floor operations, business requirements, and digital enablement solutions.Gather and document business and functional requirements for manufacturing process transformation initiativesCo-define and document use cases for work order execution, electronic batch records, genealogy and traceability, and non-conformance management in collaboration with the customer during structured requirements and blueprinting workshopsSupport shop floor digitization and operational excellence programs across production, quality, maintenance, and inventory processesCollaborate with technical teams on system configuration and integration with enterprise resource planning, automation, and data platform environmentsParticipate in testing, deployment, hypercare, training, user adoption and auditing activities across project delivery phasesA successful candidate would possess the ability to:Guide customer's senior leaders to optimal solutionsWork independently and collaborate as part of a team?Demonstrate effective written and verbal communication skillsApply meticulous attention to detail and quality of work productBuild and sustain professional relationshipsLead projects or workstreamsManage and prioritize multiple tasks in a fast-paced and dynamic environmentExude a strong interpersonal skills and professional demeanorMeet deadlinesTranslate customer business goals and operational requirements into system design and configuration decisions. Recognize and manage customer adoption resistance, monitor engagement, and escalate risks to project leadership. Engage confidently in technical conversations with customer IT and engineering teams, and to research and escalate unknowns transparently rather than speculateThe team:Our team helps clients transform their value chains into competitive advantages. We drive efficiency, improve flexibility, and increase responsiveness through proactive insights and decision-making. We advise, implement, and operate transformational solutions that bring world-class supply network and operational capabilities to our clients. We provide operational know-how, digital technologies, advanced analytics, and industry-specific hybrid solutions to deliver unprecedented client value. Additionally, we improve operations, product, and material flow across the breadth of the value chain and create greater supply network synergy and value.You will work closely with operations leaders, plant managers, and IT teams to design and implement solutions that enhance production efficiency, quality, visibility, and traceability across the manufacturing value chain.Qualifications Required:Bachelor's degree in Engineering, Operations, Supply Chain, Manufacturing, or Business3+ years of experience in manufacturing operations, process improvement, or consultingExperience working with at least one MES or MOM software platform in a delivery, configuration, or support capacity.Experience with end-to-end manufacturing processes, including production, quality, maintenance, and inventoryExperience working in plant environments supporting discrete manufacturing or process manufacturing operationsExperience translating manufacturing requirements into business and functional requirementsExperience identifying operational inefficiencies and implementing technology-based solutions to streamline workflows Experience delivering solutions in a customer-facing professional services or implementation context.Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Preferred:Customer facing consulting experience Training experience is preferred: Experience designing or delivering end-user training in a manufacturing or industrial environment.Experience supporting Industry 4.0, Internet of Things, or smart factory initiativesExperience using Microsoft Project, Jira, or Agile project management tools Experience with SQL script writing- Experience with SQL database setup, maintenance, and maintenance plans $90,000.00 - $115,000.00 Annually

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

Job Description Job Description Join the Team That's Redefining Wireless TechnologyAt Tarana, we're more than just a fast-growing tech company-we're a team of bold innovators on a mission to revolutionize broadband. Our groundbreaking Fixed Wireless Access technology is delivering fiber-class internet speeds worldwide, bridging the digital divide in ways previously thought impossible.About the Role Tarana is scaling field deployments 5 , and we're looking for a senior engineer to own the technical execution and continuous improvement of hardware failure analysis and diagnostics. You will lead investigations from the returned unit through root cause, disposition, and corrective action, while building the automation, data, and cross-functional processes that allow HW QA to scale with the fleet. As a Staff Hardware QA & Diagnostics Engineer you will have broad technical influence and ownership across multiple components. You'll lead ambiguous investigations, propose clear next steps, and partner closely with Hardware, Firmware, Software, Manufacturing, Customer Support, and Field teams; turn ambiguous field and production failures into evidence-based conclusions; and help define validation strategy for new hardware. You'll also help mentor engineers and raise the quality and consistency of the team's diagnostic practices. What You'll Own Lead end-to-end RMA and failure-analysis investigations: review field evidence, reproduce failures, isolate root cause, determine disposition, propose clear next steps, coordinate follow-through, and drive corrective actions to closure. Own the technical quality and timeliness of hardware diagnostic results, including clear separation of hardware, firmware/software, configuration, and no-fault-found cases Define and improve diagnostic methods, test plans, acceptance criteria, lab procedures, and data-collection standards. Design and maintain production-quality Python/Bash automation and reusable tools for bench testing, log analysis, test-station workflows, and trend detection. Lead complex investigations involving RF, memory, power, serial interfaces, Linux boot, GPS, and timing subsystems. Partner with Hardware, Firmware, Software, Manufacturing, and Customer Support to resolve issues and communicate evidence-based recommendations. Identify systemic trends across returned units, manufacturing data, and field reports; quantify recurrence, recommend preventive actions, track corrective actions through verification, and monitor results to ensure issues do not resurface. Lead power-on verification, subsystem qualification, Linux boot validation, and diagnostic readiness for new hardware revisions. Lead process improvements that reduce failure-analysis cycle time and no-fault-found rate, increase automation coverage, improve final unit dispositions, and create roadmaps for diagnostic capabilities and feature support. Mentor other engineers and contribute to technical standards, documentation, and team operating practices. What you'll be doing: Receive returned field units and develop an efficient investigation plan based on the reported symptoms and available evidence. Use oscilloscopes, logic analyzers, multimeters, serial consoles, network tools, and other lab equipment to validate hypotheses. Analyze embedded Linux logs, firmware behavior, telemetry, test output, and hardware measurements together rather than in isolation. Build focused experiments that distinguish intermittent, environmental, hardware, and software-related failure modes. Document findings so that another engineer can reproduce the reasoning, results, and recommended disposition. Represent HW QA in design reviews, failure reviews, bring-up planning, and cross-functional issue reviews. Evaluate and apply AI-assisted diagnostic tools where they improve investigation speed, consistency, or fleet-scale pattern recognition. What You'll Need: Bachelor's degree in Electrical Engineering, Computer Engineering, or equivalent. 9+ years of hands-on experience in hardware QA, failure analysis, embedded systems, electronics troubleshooting, or a comparable role; equivalent depth of experience is also considered. Demonstrated ownership of complex hardware investigations from symptom through root cause and corrective action, including proposing next steps, tracking action items, and verifying that fixes remain effective over time. Strong practical proficiency with lab equipment, including oscilloscopes, logic analyzers, multimeters, and serial/console tools. Ability to isolate hardware faults from firmware, software, configuration, and test-environment issues. Strong Python and/or Bash skills for automation, data extraction, log parsing, and diagnostic tooling. Experience working in embedded Linux environments and interpreting system, kernel, boot, and application logs. Experience developing test plans, defining acceptance criteria, improving QA or failure-analysis processes, and creating practical roadmaps for new diagnostic features and capabilities. Excellent technical writing, organization, and communication skills, including the ability to influence cross-functional decisions with evidence. Ability to work independently in ambiguous situations, prioritize competing investigations, and drive issues to closure. Preferred areas of expertise: Experience with RF or wireless systems, GPS/GNSS, timing, high-speed digital interfaces, memory, or power systems. Experience with new-board bring-up, subsystem qualification, automated test stations, or production test integration. Familiarity with hardware/software traceability, manufacturing data, RMA systems, and fleet-level quality metrics. Experience mentoring engineers or leading cross-functional technical projects without direct authority. Familiarity with automated test frameworks, CI pipelines, data visualization, or statistical failure analysis. How Success Is Measured Staff-level ownership of ambiguous, multi-component investigations from problem definition through verified corrective-action closure. Predictable delivery of 2-6 month diagnostic and process-improvement work, with risks, dependencies, deadlines, and documentation actively managed. Reduced failure-analysis cycle time, no-fault-found rate, recurring failures, and escapes, using baseline-to-target metrics. Production-quality automation and diagnostic methods adopted across the team, with increased coverage, reuse, and maintainability. Cross-functional HW/FW/SW/Manufacturing alignment on priorities, decisions, and corrective actions, with verified follow-through and monitoring. Technical leadership and mentoring that raise team-wide diagnostic quality, consistency, and ability to execute without a single-person bottleneck. Why This Role Own work that directly affects field quality, customer experience, and product reliability at scale Work across the full lifecycle-from returned units and manufacturing data to new-hardware bring-up and validation. Have broad technical influence without being limited to a single subsystem or test station. Build the automation and diagnostic capabilities that will shape how Tarana supports a rapidly growing fleet. Join a hands-on team where rigorous bench evidence leads directly to engineering action. Compensation and Benefits: What we offer: We don't just build next-gen wireless technology - we build people.

Job Description Job Description Description Augustine Consulting Inc. is a Woman-Owned Small Business professional services provider of engineering and technical services to the United States Government. We seek an experienced Engineer/Scientist - III to support ACI's Third Party Integration (3PI) Team, leading the evaluation, integration, and testing of emerging third-party technologies in support of the Nett Warrior program and Army modernization initiatives. Duties and Responsibilities: This position leads the evaluation, integration, interoperability assessment, testing, and fielding of third-party hardware and software capabilities within the Army's tactical communications and command and control ecosystem. Working closely with Product Managers, Program Offices, operational units, and industry partners, the Engineer Scientist supports the engineering lifecycle and helps ensure emerging technologies are integrated in support of Nett Warrior, Next Generation Command and Control (NGC2), Transformation in Contact (TiC), Tactical Edge Networking (TEN), and related Army modernization initiatives. Work includes systems integration, requirements analysis, technical evaluation, interoperability testing, and operational support. A successful Engineer/Scientist - III at ACI will: Demonstrate expertise in systems engineering, interoperability analysis, systems integration, and technical evaluation of complex military command and control capabilities, Lead complex technical integration efforts involving multiple stakeholders, competing priorities, and evolving operational requirements. Effectively coordinate and communicate with senior government leaders, operational units, acquisition professionals, engineers, and industry partners to achieve mission objectives. Apply engineering principles across the full system lifecycle, including requirements analysis, design, development, testing, troubleshooting, documentation, and sustainment. Analyze complex technical challenges and provide practical recommendations that improve interoperability, operational effectiveness, and mission success across the tactical network. Serve as a trusted technical advisor and subject matter expert, evaluating emerging commercial and government technologies for integration into Army tactical communications and command and control ecosystems. A Technical Analyst who fits our team is: Dynamic: contributes energy and enthusiasm to our daily tasks, to the team's interactions, and to the Company's mission. Thorough: possesses an unparalleled work ethic; produces complete, even polished products; persistent; mission-focused; asks "Why?" as often as necessary to get to the root of the matter. Mature: respects others' opinions, beliefs, and culture; listens to ideas, shares thoughts, and works independently and together to contribute insights to the company's leaders. Forthright: speaks with conviction; argues based on understanding, respectfully. Inquisitive: seeks deeper explanations of how systems work, not the surface-level description of the actors involved; goes beyond "stick-fetching" to connect the unconnected. Timely: shows up, ready to think, prepared to get on with the day's assignments; contributes analytical insights that meet time-sensitive, reasonable requests. Honest: knows what's right, what's legal, what's appropriate; acts accordingly. Required Qualifications: Must be a U.S. Citizen Due to the sensitive nature of the work being performed, a candidate must possess or be able to possess a Department of War (DOW) Secret clearance. High School diploma and 14 years' experience, or Associate's degree and 12 years' experience, or Bachelor's degree and 5 years' experience, or Master's degree and 1 year of experience. Experience with one or more of the following development tools/environments is desired: Android SDK, .NET SDK, OpenGL, FFMPEG, and SQLite. Domain experience in geospatial systems (i.e., moving map display), geo-positioning devices, advanced GPS technology, tactical networking, and/or mission planning solutions desired. Experience with mobile applications, Android OS, and Windows preferred. Strong understanding of IP networking architectures, network devices, networking principles, and tactical communications infrastructure. Experience with tactical networks, mission command systems, handheld mobile computing devices, operating systems, system administration, network protocols, and software development or engineering processes. Demonstrated ability to independently assess technical and operational challenges, exercise sound judgment, solve complex problems, and communicate technical information effectively to technical and non-technical audiences. Advanced proficiency with Microsoft Office applications, particularly Excel, Word, Outlook, and Teams, with the ability to work independently or within a team environment, manage competing priorities, produce technical documentation, and travel as required to support customer operations. Preferred Qualifications: Three (3) years of experience utilizing Nett Warrior or comparable Situational Awareness and Command and Control (C2) systems. Experience supporting Army tactical communications, Mission Command systems, operational units, or military network modernization initiatives. Experience operating tactical radios and developing communications architectures, including communications planning, Mobile Ad Hoc Networking (MANET) waveforms, and Common Operating Picture (COP) data flows. Experience deploying, configuring, administering, and supporting Team Awareness Kit (TAK) server infrastructure and associated services. Experience utilizing TAK applications, including ATAK, WinTAK, and ITAK, in operational or test environments. Experience developing automation and administrative scripts using Windows PowerShell or similar scripting languages. Experience creating, configuring, and managing virtual machines and virtual environments using Hyper-V or comparable virtualization platforms. Augustine Consulting Inc. offers a robust benefits package which includes: Competitive salary Comprehensive Medical, Dental, and Vision plans Group Life and Voluntary Life Insurance plans Retirement Savings Plan Paid Time Off Paid Parental Leave Tuition and Professional Development Reimbursement Program

Design, program, integrate, and optimize industrial control systems and automation solutions supporting startup and qualification of a new manufacturing business. Improve line performance, product quality, and safety through PLCs, process controls, instrumentation, system integration, troubleshooting, and collaboration with plant teams. Responsibilities Design and implement safe, reliable control strategies for manufacturing operations. Develop and program PLC-based automation systems and related technologies. Integrate production equipment, control systems, machine communications, and higher-level data systems. Use analytics and digital or advanced control tools to improve process capability and decision-making. Analyze system performance, troubleshoot root causes, and implement sustainable improvements. Create technical documentation, train plant personnel, and ensure systems meet safety and electrical standards. Required Skills PLC programming, including Control Logix HMI and SCADA systems Continuous and batch process control Instrumentation Drives and motion control Machine vision systems Industrial networks and system architecture Server infrastructure and virtualization Electrical design standards and codes Machine and electrical safety practices

Design and implement control systems and automation solutions for Oral Care manufacturing processes at the Greensboro Browns Summit Plant. Develop PLC and SCADA applications, integrate intelligent systems, optimize existing controls, and collaborate across manufacturing, quality, and maintenance to improve productivity, quality, reliability, and safety. Responsibilities Design and implement control strategies for manufacturing processes. Develop and program automation solutions using PLCs, SCADA, and other control technologies. Integrate data analytics, machine learning, and AI-driven tools into process control. Collaborate with manufacturing, quality, and maintenance teams to identify and deliver automation improvements. Analyze and troubleshoot existing control systems and implement performance improvements. Prepare technical documentation, train plant personnel, and ensure systems comply with standards and safety requirements. Required Skills Process control Machine control PLC programming SCADA systems Industrial automation Control system design Sensors Motors Industrial networks System troubleshooting

Amazon Web Services, Inc. seeks a Senior Delivery Consultant DevOps to lead complex cloud and DevOps engagements within AWS ProServe for public sector and large enterprise customers. You will design and implement automation, CI/CD pipelines, infrastructure as code, and secure, scalable AWS architectures. Partnering closely with customer engineering and leadership teams, you'll define migration and modernization roadmaps, drive hands-on delivery, and mentor teams on DevOps and operational excellence. In AWS's customer-obsessed, innovative culture, you'll tackle large-scale technical challenges while growing your technical and consulting skills. Responsibilities Lead delivery of Dev Ops and cloud transformation engagements for public sector customers on AWSDesign and implement CI/CD pipelines, infrastructure as code, and automated deployment solutions Partner with customer engineering and leadership teams to define scalable, secure cloud architectures Conduct assessments, develop migration and modernization roadmaps, and drive hands-on implementation Mentor customer and internal teams on Dev Ops best practices, observability, and operational excellence Collaborate with Pro Serve, product, and sales teams to scope engagements and create delivery plans Create technical documentation, runbooks, and knowledge-sharing content for repeatable solutions Champion AWS Well-Architected, security, and compliance standards in all customer solutions Required Skills AWS architecture and services (EC2, ECS/EKS, Lambda, RDS, VPC, IAM) Dev Ops practices and CI/CD pipeline design Infrastructure as code (Cloud Formation, Terraform, CDK) Linux administration and scripting (Python, Bash, Power Shell) Containerization and orchestration (Docker, Kubernetes, ECS/EKS) Monitoring, logging, and observability (Cloud Watch, Prometheus, ELK, etc.) Security, compliance, and identity on AWS (IAM, KMS, Cloud Trail) Networking and cloud connectivity (VPC, VPN, Direct Connect) Agile delivery and consulting/client-facing communication Automation, configuration management (Ansible, Chef, Puppet, or similar)

The Senior Data Center Chief Engineer leads safe, reliable operation of critical power, cooling, and life safety systems in an AWS data center. This role oversees preventive and corrective maintenance, manages incidents and root cause analysis, and directs Engineering Operations Technicians and vendors. The engineer manages small to medium infrastructure projects, ensures compliance with safety and security procedures, uses CMMS and office tools for planning and reporting, and may travel between data centers during build-out and training phases. Responsibilities Oversee daily operation and maintenance of data center electrical, mechanical, and life safety systems. Serve as primary escalation point for facility issues and perform root cause analysis of failures. Lead and mentor Engineering Operations Technicians on procedures, troubleshooting, and safety practices. Manage small to medium facility projects from scoping and budgeting through implementation and closeout. Ensure strict adherence to safety and security procedures for all staff and vendors. Use CMMS and productivity tools to schedule, track, and document maintenance activities and incidents. Coordinate and supervise third-party vendors performing work in the data center. Support commissioning and transition of new or developing facilities into steady-state operations. Required Skills Critical facilities operations Electrical power distribution systems Mechanical/HVAC systems Computerized Maintenance Management Systems (CMMS) Root cause analysis Project management Building automation systems (BAS) Emergency power systems (generators, UPS) Technical documentation and procedures Safety and security compliance

Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. The Machine Learning Server Software Team is looking for candidates interested in writing data-driven software for our Machine Learning servers. We build production software to initialize and monitor the most advanced machine learning acceleration servers in the world. We touch technologies including accelerator chip initialization, setting up clocks and voltages, to systems level device drivers for I2C infrastructure pervasive in the server and everything in between. Our team does not work on machine learning algorithms, but rather on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, PCIe, SPI, I2C, accelerator inner-workings are our bread and butter. Come join our team. Key job responsibilities - Member of a team responsible for the software associated with server components and integration in to EC2. - Working with the MLA Hardware, Test and Manufacturing teams to create a coordinated software package to enable both qualification as well as rapid deployment of software. - Developing software (C, C++, Python, Lua) which can be maintained, improved upon, documented, tested, and reused. A day in the life The MLA Systems Software team was formed to focus on server software primarily for initialization, monitoring, debug, testing, qualification, and manufacturing. At a high-level our goal is to find ways to help the organization scale though the use of software and automation. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 165 600.00 USD annually USA, TX, Austin - 143 400.00 USD annually

Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. The Machine Learning Server Software Team is looking for candidates interested in writing data-driven software for our Machine Learning servers. We build production software to initialize and monitor the most advanced machine learning acceleration servers in the world. We build systems software that initializes custom accelerator chips and monitors peripherals with device drivers for I2C, SPI, PCie and technologies alike. Our team does not work on machine learning algorithms, but rather on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, PCIe, SPI, I2C, accelerator inner-workings are our bread and butter. Come join our team! Key job responsibilities - Member of a team responsible for the software associated with server components and integration in to EC2. - Working with the MLA Hardware, Test and Manufacturing teams to create a coordinated software package to enable both qualification as well as rapid deployment of software. - Developing software (C, C++, Python, Lua) which can be maintained, improved upon, documented, tested, and reused. A day in the life The MLA Systems Software team was formed to focus on server software primarily for initialization, monitoring, debug, testing, qualification, and manufacturing. At a high-level our goal is to find ways to help the organization scale though the use of software and automation. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 165 600.00 USD annually USA, TX, Austin - 143 400.00 USD annually