57 jobs found

Job Description Job Description Overview We are seeking a highly skilled and motivated Failure Analysis Engineer (FAE) to join our team. The successful candidate will work directly with clients to ensure deliverables fall within the applicable scope and budget. We are seeking a highly skilled and motivated Senior Engineering Team Member to support the resolution of hardware issues related to our ESSN Server Products portfolio. The role involves close collaboration with customers, as well as internal teams including Foxconn R&D, Product Engineering, and Quality Engineering. This position focuses on identifying elevated factory and field failure symptoms, conducting in-depth circuit failure analysis, and determining root causes, leading to corrective actions that improve product quality and customer satisfaction. Duties and Responsibilities Troubleshoots, debugs, and determines root cause at multiple system levels for customer devices. Analyzes circuits and topologies to identify marginal failure root causes. Drives recovery actions and repairs for failing devices. Engineering Investigations: Lead engineering investigations of significant customer field and factory escalations related to hardware issues, ensuring timely resolution. Customer Satisfaction & Quality Improvement: Enhance customer satisfaction and product quality by addressing hardware-related issues promptly and efficiently. Cross-functional Collaboration: Work directly with design and manufacturing teams to investigate hardware issues down to the component level. Internal Collaboration: Collaborate with multiple internal engineering disciplines (HW, SW, Diags, Quality, Product, Mechanical, Materials, Reliability) to resolve complex hardware issues. Capture Programs Support: Facilitate the execution of special capture programs such as Early Field Capture, Selective Field Capture, ORT, L6, L10, L11 Factory Operations, and RMA. Feedback & Process Improvement: Provide feedback to internal and external teams based on analytical findings to improve process and design methodologies. RMA & Service Support: Assist in communicating best practices for WW RMA & Service Centers to improve product knowledge and streamline operations. Operational Excellence: Promote "best practices" across WW Operational, RMA, and Service Sites, driving efficiencies and quality improvements. Miscellaneous Duties: Perform additional duties as required, based on business needs Skill/Knowledge Requirements: Engineering Knowledge: Deep understanding of Industry Standard Servers & Storage architecture and peripherals. RMA & Service Manufacturing Expertise: Familiarity with PCA, system, and RMA & service manufacturing environments. Clear Communication: Strong verbal and written communication skills, with the ability to convey complex ideas effectively. Analytical Problem-Solving: Ability to isolate and resolve hardware failures, including safely injecting failures during debugging to pinpoint root causes. Linux Knowledge: Working knowledge of Linux commands and structures, including exposure to SEL and IPMI tools. Debugging Tools & Algorithm Development: Proficient in developing and debugging algorithms, creating test tools to assist with failure isolation, and documenting findings for team sharing. Strong understanding of semiconductor device physics, IC design, and fabrication processes. Experience with EDA (Electronic Design Automation) tools and layout editing software. Strong problem-solving skills with the ability to diagnose and resolve complex circuit issues. Education and Experience: Bachelor's degree or higher in Electrical Engineering, Microelectronics, Physics, or a related field (or equivalent experience). Minimum of seven (7) years of experience in FA, at best with hands-on experience in technique enablement and development of supporting HW for Fault-Isolation and/or vacuum-based microscopic systems (e.g., SEM, DMM). Technical Skills: Proven ability to debug complex hardware issues using logic analyzers, oscilloscopes, and other test equipment. Server Technology Knowledge: Familiarity with key server technologies such as x86 & ARM multi-core processors, DDR4/5, NAND memory, PCI-e protocols, SAS, SCSI, SATA, FibreChannel, Ethernet, WiFi, Bluetooth, NVMe, and SSD technologies. Self-Motivation: Must be a self-driven team player, able to perform in a fast-paced, customer-focused environment with minimal supervision. Development Lifecycle: Familiarity with the full hardware/software development lifecycle, and hardware/firmware/software development and testing methodologies. Collaboration: Proven experience working with internal and external partners. Knowledge of failure analysis techniques and methodologies. Additional Requirements Experience: Physical Requirements: Ability to perform various physical tasks such as walking, standing, bending, and lifting to 20 lbs. Must also be able to perceive depth, operate motor vehicles, and use equipment related to the job. Work Conditions: The role may require working in environments with machines, electrical energy, and other potentially hazardous conditions. Candidates should be flexible regarding irregular hours and travel by various means of transportation (car, van, bus, and airplane). Tools & Equipment: Must be comfortable working with computers, related equipment, typewriters, calculators, copiers, fax machines, telephones, and automobiles as part of daily responsibilities. Powered by JazzHR n5VWFTrhmO

Job Description Job Description Description FII USA, Inc ., a Foxconn Technology Group Company, is seeking a Failure Analysis Engineer to perform engineering investigations of significant customer field and line escalations related to hardware issues and collaborate with numerous internal engineering disciplines to resolve hardware issues. Once a part of the team, you will be responsible for a wide variety of tasks within the Test and Reliability Engineering Department in an office environment and have the opportunity to display critical thinking skills to expand your career in Smart Manufacturing. The Failure Analysis Engineer will monitor test failure trends in NPI, provide corrective actions to improve production test yields, and assist this Test and Reliability Engineering Department as needed. Responsibilities Interface with customers and internal cross-functional teams to root cause hardware issues to the component level Perform engineering investigations of significant customer field and line escalations related to hardware issues Monitor test failure trends in NPI and provide corrective actions to improve production test yields Design and develop debug tools to improve debug process and efficiency Provide training to technicians and debug team on new and existing debug procedures and product troubleshooting Support internal communications of techniques and processes for WW RMA & Service Centers Drive "best practices" across WW Operational, RMA & Service Sites Program manage CSP/Enterprise account Reliability requirements Facilitate Reliability strategy discussions Other duties as assigned Qualifications Bachelor's or Master's degree in electrical or computer engineering required Minimum of 4 years' experience designing and debugging Industry Standard Computing platforms required Experience in hardware/firmware/software development and test methodologies preferred Knowledge of key server technologies including Intel, AMD, ARM multi-core microprocessors, DDR 4/5 and NAND memory, and PCA design preferred Reasons you should work for us: Comprehensive benefits package including medical, dental, and vision insurance coverage. Basic life insurance and short-term disability coverage provided by employer. Supplemental life insurance and long-term disability coverage options available. 401K with employer contribution. Personal, Vacation, and Holiday paid time off for all full-time employees. Onsite Aurora Health & Wellness Center available for all employees. Employees are continuously encouraged to learn and grow their careers in smart manufacturing.

Job Description Job Description Overview We're looking for a Senior Principal AI Engineer to provide hands-on technical leadership across complex, production-grade AI systems. This role is for a builder-architect-someone who has repeatedly taken AI systems from idea to production, understands where they fail at scale, and knows how to unblock teams to move faster without sacrificing outcomes. This is not a pure strategy or people-management role. It is a deeply technical builder role with organizational impact. You will define technical direction by writing code, designing systems, and helping the organization stay in builder mode as complexity and scale increase. What You'll Do Architect and build end-to-end AI systems including LLM orchestration, retrieval layers, agentic workflows, and structured reasoning systems Lead the design of multi-agent and tool-calling systems that operate reliably in production Establish and evolve architecture patterns for scalable, cost-aware, and observable AI applications Drive technical decisions across data modeling, AI pipelines, infrastructure, and APIs Define best practices for evaluation, monitoring, and governance of AI systems in production Mentor senior engineers through design reviews, code reviews, and system-level debugging Translate ambiguous business and domain problems into clear technical strategies Stay ahead of emerging AI techniques and integrate what matters-without chasing hype Core Skills & Experience 12+ years of software engineering experience, with deep hands-on experience building AI/ML systems in production Strong proficiency in TypeScript, React, Go, Python and modern AI frameworks Extensive experience with LLMs, including RAG, tool use, prompt systems, and agentic architectures Proven ability to design and ship large-scale AI systems that run reliably in real-world environments Strong architectural judgment across data systems, AI models, infrastructure, and application layers Deep understanding of AI failure modes: hallucination, drift, brittleness, latency, and cost blowups Excellent communication skills-able to explain technical tradeoffs to both technical and non-technical audiences Track record of shipping systems end-to-end, not just prototypes or research work Builder Mentality (This Is Core to the Role) We are explicitly looking for builders. By " builder, " we mean an operating mode, not a title. Builders: Bias toward systems that solve user needs, not perfect abstractions Move comfortably from ambiguity first draft iteration production Optimize for learning velocity and customer impact, not theoretical completeness Are willing to build the entire arc of a system to surface real constraints early Treat quality as something you earn through iteration, not something you gate progress with Understand that the last 10-20% of a system-integration, edge cases, UX, usability, reliability-is where real work happens At the Principal level, being a builder also means: Helping the organization stay in builder mode as it grows Collapsing unnecessary complexity rather than introducing more process Knowing when architectural rigor matters, and when it is premature Pulling promising work across the finish line instead of waiting for "perfect readiness" Modeling speed, ownership, and clarity for other senior engineers Your impact is measured not only by what you build, but by how much faster and more effectively others can build because of you. Preferred Experience (Domain-Flexible Specialties) Knowledge graph architecture, ontology design, or semantic modeling in complex domains Graph databases, graph query languages, or graph ML techniques Hybrid systems combining structured reasoning with LLM-based approaches Entity resolution, schema alignment, or knowledge fusion at scale AI systems requiring explainability, auditability, or lineage tracking Experience building AI systems in regulated or high-stakes domains (finance, healthcare, legal, government) MLOps, evaluation infrastructure, or long-running AI services operating at scale What You'll Love Owning the technical direction of real AI systems that make it into production Solving hard, ambiguous problems where architecture and execution matter equally Leading through hands-on building, not layers of process Working in an environment that values shipping, learning, and iteration over perfection Having the latitude to shape both systems and how teams build them About Us We are an AI-first company, and we mean that literally. AI is not a feature we bolt on. It's not a marketing layer. It's not a roadmap experiment. It is the foundation of how we design, build, and operate. We are building systems where machines do what machines do best: pattern recognition, synthesis, analysis at scale. As well as what humans do what humans do best: judgment, context, trust, and accountability. That means rethinking workflows from the ground up. Not "how do we add AI to this process?" but "how should this process exist in a machine-augmented world?" We care deeply about shipping real systems that work in production. In regulated environments. With real customers. At scale. If you're excited to help invent the next way software is built and deployed, and to do it alongside a team of deeply pragmatic, AI-obsessed builders, we'd love to talk. 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 About ATI: Automated Tire (ATI) is a Series-B startup revolutionizing automotive service with innovative robotic and software technology. Founded by experienced entrepreneurs and backed by major players in the automotive and tire sectors, ATI is building the next generation of tools that make tire shops and dealership service lanes faster, safer, and smarter. If you're passionate about building products that ship into real-world environments, ATI is the place for you. Position Overview: BrakeWise is our production brake inspection product: a mobile application paired with a camera probe that technicians use to assess pad and rotor condition during live service work. The machine learning behind it is a multi-stage pipeline of segmentation and classification models that turn raw imagery into a wear assessment a shop can act on and charge for. That pipeline works, and it is an MVP. It runs on Cloud Functions, and it will not carry us to the customer volume we're signing. We're looking for a Staff MLOps Engineer to own it - to take it from a working prototype to a serving architecture that holds up under real throughput, with the latency, cost, and reliability characteristics a paying customer expects. You'll own every aspect of how our models reach production and how they get better: serving infrastructure, deployment and rollback, monitoring and drift detection, the retraining loop, and the evaluation discipline that tells us whether a new model is actually an improvement. Model accuracy here has commercial consequences - a bad wear call is either a missed repair or an unnecessary one, in front of a customer. This is also the senior cloud architecture voice on the team. You'll partner closely with our Staff Full Stack Engineer, who owns the mobile app and customer dashboard, reviewing designs and setting GCP practices across the platform rather than only within the ML stack. Responsibilities: Own the multi-stage inference pipeline (segmentors and classifiers) end to end - serving architecture, latency, throughput, reliability, and cost per inspection Re-architect the pipeline off its current Cloud Functions MVP onto infrastructure that scales: containerized inference, GPU-backed or accelerated serving where it pays for itself, queueing, batching, and autoscaling Own model deployment: versioning, staged rollout, canary and shadow evaluation, and fast rollback when a model regresses Build and own the improvement loop - field data collection, labeling workflows, dataset versioning, evaluation harnesses, and regression suites that catch quality loss before customers do Monitor model quality in production: drift detection, segmented performance analysis, and triage of real-world failures against real inspection imagery Define the metrics that matter commercially - false-positive and false-negative rates on a wear call, technician override rate, unit inference cost - and report against them Improve model performance directly: architecture selection, augmentation, hard-example mining, and quantization or distillation where latency and cost demand it Evaluate on-device versus cloud inference trade-offs for the mobile app, and own whichever path we choose Establish MLOps foundations: reproducible training, experiment tracking, CI/CD for models, and infrastructure as code Serve as the cloud architecture counterpart to the Staff Full Stack Engineer - reviewing designs, setting GCP best practices, and raising the platform's infrastructure bar Work with hardware and field operations on capture quality - lighting, focus, and probe positioning - since upstream image quality sets the ceiling on model performance Own production support for the ML stack, including incident response and on-call participation for inference availability Proactively identify technical risks and architectural trade-offs, and communicate them clearly to leadership Requirements 8+ years of professional engineering experience, including several years owning machine learning systems in production - not solely model development Demonstrated experience taking a computer vision pipeline from prototype to production scale, serving real users at meaningful volume Deep experience deploying and operating segmentation and classification models, including multi-stage pipelines where one model's output feeds the next Strong cloud infrastructure background, preferably GCP - Vertex AI, Cloud Run, GKE, Cloud Functions, Cloud SQL, Pub/Sub, and Docker Production-grade Python, and fluency with PyTorch or TensorFlow Hands-on experience with model serving and optimization - Triton, TorchServe, ONNX, TensorRT, quantization, or equivalent Experience owning deployment and support for a live system, including incident response, rollback, and on-call Experience building data and labeling pipelines with dataset versioning and reproducible evaluation Comfort with infrastructure as code (e.g., Terraform) and CI/CD automation (e.g., GitHub Actions) Sound judgment on the accuracy, latency, and cost trade-offs that determine whether an ML product is viable Excellent problem-solving, debugging, and communication skills, including with non-technical stakeholders Preferred Qualifications: On-device or edge inference experience (Core ML, TensorFlow Lite, ExecuTorch) and integration into mobile applications Active learning or human-in-the-loop labeling systems Computer vision on small, long-tail, or industrial inspection datasets rather than large public benchmarks Experience with camera and sensor integration, or working alongside hardware teams on capture quality Experience with robotics, IoT, or edge computing (ROS or similar platforms) Familiarity with automotive service, dealership operations, or DMS ecosystems Contributions to open-source projects Why Join ATI: Be part of a groundbreaking startup transforming automotive service technology Work with a team of industry veterans and top-tier robotics and software talent Own the ML platform for a product that already has paying customers - your architecture decisions set the scaling ceiling Our customers are our investors, so you'll develop and test in real service lane environments A genuine data advantage: proprietary inspection imagery from real shops that no public dataset can replicate Clear Total Addressable Market with strong pull from B2B partners Competitive salary and comprehensive benefits package Prime location in Woburn, MA with on-site parking Collaborative, low-ego, high-intensity work environment

Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.The Real-Time Defect Analysis (RDA) and Metrology organization is passionate about delivering high-quality, reliable data that enables efficient semiconductor manufacturing. We work closely with process and manufacturing partners across the fab network, leveraging advanced equipment, engineering expertise, and innovation to drive operational excellence in a highly collaborative environment.As a High Volume Manufacturing RAM Hardware Equipment Owner, you will play a critical role in ensuring the performance, reliability, and continuous improvement of fully automated RDA and Metrology tools. This position offers a unique opportunity to combine project management, data analysis, hands-on engineering, and AI-enabled problem solving to improve equipment uptime, prevent failures, and support manufacturing success.Responsibilities: Own the installation, qualification, maintenance, upgrade, and performance of assigned RDA and Metrology equipment Develop and maintain equipment procedures, preventive maintenance plans, training materials, and technical documentation Partner with suppliers and internal engineering teams to resolve equipment issues and improve tool reliability and uptime Investigate equipment abnormalities, perform root cause analysis, and implement corrective actions Drive equipment matching, standardization, and continuous improvement initiatives across the fab networkMinimum Qualifications: Bachelor's degree in Computer Engineering, Electrical Engineering, Semiconductor Engineering, Materials Science, Chemical Engineering, Physics, Computer Science, Data Science, or a related engineering or scientific discipline 2 or more years experience troubleshooting mechanical, electrical, and software systems in a semiconductor environment Proficiency in statistics, statistical process control (SPC), data analysis, and design of experiments (DOE) Ability to analyze technical data, draw conclusions, and communicate results through technical reports Knowledge of safety principles, including ergonomics, OSHA requirements, and safe equipment design practicesPreferred Qualifications: Experience supporting, maintaining, or improving semiconductor manufacturing equipment Proven ability to lead projects and manage multiple high-priority initiatives through implementation and deployment Experience collaborating with suppliers and managing equipment vendor activities Proficiency with engineering problem-solving methodologies such as Root Cause Analysis (RCA) and Fishbone diagrams Experience using AI-enabled tools and workflows to improve equipment performance, reliability, and predictive maintenance efforts Experience with 3D CAD modeling softwareAs a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.To learn about your right to work click here.To learn more about Micron, please US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at or 1- (select option )Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Summary The O&M Gas Systems Engineer supports the safe, reliable, and efficient operation of bulk and specialty gas delivery systems that enable semiconductor manufacturing. This role partners with Operations, Maintenance, Manufacturing, Safety, and Engineering teams to improve system reliability, troubleshoot complex equipment issues, drive continuous improvement initiatives, and support capital and operational projects while ensuring compliance with environmental, health, safety, and quality standards. The engineer leverages data analytics, AI-enabled tools, and digital technologies to enhance decision-making, optimize system performance, and improve operational efficiency. Responsibilities Support the operation, maintenance, and continuous improvement of bulk and specialty gas systems to ensure safe and reliable semiconductor manufacturing operations. Analyze system performance data, identify improvement opportunities, troubleshoot equipment issues, and lead root cause investigations to improve reliability and reduce risk. Utilize AI, machine learning, and advanced analytics tools to identify trends, predict equipment failures, optimize maintenance strategies, and enhance operational performance. Develop and implement digital solutions, dashboards, automated reporting, and data visualization tools that improve engineering efficiency and decision-making. Ensure compliance with Micron safety, environmental, quality, and change management requirements while promoting a strong safety culture. Partner with Operations, Maintenance, Manufacturing, and other stakeholders to resolve system issues, improve equipment performance, and support production goals. Lead and support engineering projects including equipment upgrades, new installations, commissioning activities, and reliability improvements. Develop and maintain engineering documentation, design standards, procedures, specifications, and preventive maintenance strategies. Utilize engineering principles, TPM methodologies, and data-driven insights to drive cost savings, efficiency improvements, and operational excellence. Provide technical guidance and support to cross-functional teams while effectively communicating project status, risks, recommendations, and data-driven conclusions. Minimum Qualifications Bachelor's degree in Engineering, Chemistry, Semiconductor Technology, or a related technical field, or equivalent combination of education and experience. Strong analytical and troubleshooting skills with the ability to identify root causes and implement effective corrective actions. Ability to work effectively in a cross-functional team environment and communicate technical information clearly to diverse audiences. Experience using engineering data, schematics, technical documentation, and standard problem-solving methodologies. Familiarity with data analytics, AI-assisted tools, or digital technologies used to support engineering, maintenance, or operational decision-making. Demonstrated commitment to safety, quality, and continuous improvement. Preferred Qualifications Experience supporting industrial utility systems, gas delivery systems, semiconductor facilities, or related manufacturing environments. Knowledge of high-purity gas systems, instrumentation and controls, mechanical systems, and reliability engineering principles. Experience applying AI, machine learning, predictive analytics, or digital engineering tools to improve equipment reliability, maintenance effectiveness, or operational performance. Experience leading projects, coordinating cross-functional teams, and managing multiple priorities simultaneously. Familiarity with TPM, FMEA, root cause analysis, risk assessment, and continuous improvement methodologies. Experience developing automated workflows, dashboards, reporting systems, or engineering solutions using tools such as Microsoft Copilot, Power BI, Power Automate, Python, SQL, CMMS, SAP, Maximo, or similar platforms. Experience using AI-assisted productivity and engineering tools to improve technical documentation, data analysis, troubleshooting, and operational decision-making. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at or 1- (select option ) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We build and support advanced memory products that power next generation systems across the industry. We work closely with design, validation, and customer teams, and we love solving technical challenges together! In this role, you'll be the technical connection between customers and engineering for our DRAM portfolio, including HBM, DDR, and GDDR. You'll guide product validation, improve quality, and help customers integrate memory into complex platforms. This is a great fit for someone who enjoys hands on debug, data driven problem solving, and cross functional collaboration. Responsibilities: Validate and characterize DRAM products on system platforms and next generation processors Analyze product, yield, and performance data to improve quality and reliability Support failure analysis and document corrective actions Develop application notes, design guidance, and technical training Assist customer integration efforts, including SI/PI, timing, and system bring up Minimum Qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, or related field Experience in product engineering, applications engineering, hardware validation, or system integration Understanding of memory technologies, system architecture, or platform validation Exposure to tools such as Python, Linux, or JMP Strong problem solving and communication skills Utilize AI Agents Preferred Qualifications: Experience with DDR4, DDR5, HBM, GDDR, or similar memory technologies Familiarity with lab equipment, electrical validation, or SI/PI fundamentals Master's degree in Electrical Engineering, Computer Engineering, or related field Experience supporting customer bring up or system level debug The US base salary range that Micron Technology estimates it could pay for this full-time position is: $177,000.00 - $302,000.00 a year Additional compensation may include benefits, bonuses and equity. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at or 1- (select option ) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Job Description Job Description About the Institute of Foundation Models The Institute of Foundation Models is a dedicated research lab focused on building, understanding, using, and risk-managing foundation models. Our mission is to advance AI research, support the next generation of AI builders, and develop impactful systems that improve how frontier models are trained, evaluated, deployed, and governed. As part of our team, you will work closely with researchers, machine learning engineers, data scientists, software engineers, and product teams on some of the most important challenges in AI development. You will contribute to systems that help measure model quality, identify failure modes, and improve the reliability, safety, and readiness of model releases. The Role We are looking for an Eval360 - Error Analysis Engineer to help build, improve, and operate Eval360, an evaluation service that serves as a quality gate for AI models. This person will focus specifically on error analysis : understanding where models fail, why they fail, how those failures should be categorized, and how evaluation systems can better detect, measure, and prevent these issues before models are released. You will collaborate with researchers, machine learning engineers, product managers, data scientists, and platform teams to develop AI evaluation applications and internal tools based on next-generation AI research. You will be part of a cross-functional team responsible for the full software development lifecycle, from requirements gathering and system design to implementation, deployment, monitoring, debugging, documentation, and continuous improvement. The ideal candidate is comfortable working across the stack, including front-end interfaces for reviewing errors, back-end evaluation pipelines, data analysis workflows, model evaluation infrastructure, databases, dashboards, and APIs. This person should have strong software engineering skills, excellent analytical judgment, and the ability to turn ambiguous model failures into structured insights that improve evaluation quality. Key Responsibilities • Collaborate with researchers, machine learning engineers, data scientists, product managers, and internal stakeholders to implement innovative software solutions for Eval360 and related model evaluation workflows. • Build and improve Eval360 as an evaluation service that acts as a quality gate for model development, model comparison, and model release decisions. • Perform deep error analysis on model outputs, including identifying failure patterns, categorizing issues, tracing root causes, and proposing improvements to evaluation methodology. • Develop tools, workflows, and dashboards that make it easier for researchers and engineers to inspect model failures, compare model behavior, and understand quality regressions. • Design and implement client-side and server-side architecture for evaluation review systems, error analysis interfaces, reporting tools, and internal evaluation applications. • Develop responsive, usable interfaces that support error triage, annotation review, evaluation debugging, and model quality investigation. • Build and maintain back-end services, APIs, data pipelines, and integrations that support evaluation execution, results storage, analysis, and reporting. • Test software to ensure responsiveness, correctness, reliability, and efficiency across evaluation workflows. • Troubleshoot, debug, and upgrade evaluation systems, including identifying issues in data processing, evaluation metrics, model output handling, job orchestration, and user-facing analysis tools. • Create and maintain security, access control, and data protection settings for evaluation data, model outputs, annotations, and internal tooling. • Write clear technical documentation for Eval360 systems, error taxonomies, evaluation workflows, debugging procedures, and user-facing tools. • Work with researchers, data scientists, analysts, and machine learning engineers to improve evaluation quality, model diagnostics, and failure-mode visibility. • Keep track of new development tools, evaluation frameworks, model analysis methods, data quality techniques, and architectures relevant to AI evaluation systems. • Contribute to the design of error taxonomies, evaluation rubrics, quality thresholds, regression detection methods, and model readiness criteria. • Help ensure Eval360 produces reliable, interpretable, and actionable signals for model quality gates. • Contribute to research publications, technical reports, internal knowledge sharing, and external presentations where appropriate. • Contribute to intellectual property and thought leadership in AI evaluation, error analysis, model quality measurement, and evaluation infrastructure. • Perform all other duties as reasonably directed by the line manager that are aligned with these functional objectives. Academic Qualifications • Bachelor's degree in Computer Science, Machine Learning, Data Science, Software Engineering, Statistics, or a related technical field required. • Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related field preferred. Professional Experience • Proven experience as a Software Engineer, Full Stack Developer, Machine Learning Evaluation Engineer, Data Scientist, AI Engineer, or similar role. • Experience building software systems for AI, machine learning, data analysis, evaluation, annotation, experimentation, or model monitoring. • Experience working with AI algorithms and the ability to develop systems that accommodate AI-related requirements. • Experience performing error analysis, model evaluation, data quality analysis, or failure-mode investigation for machine learning or language model systems. • Experience developing internal applications, dashboards, review tools, or web-based workflows for technical users. • Familiarity with common software stacks, including front-end frameworks, back-end services, databases, APIs, and cloud or internal infrastructure. • Familiarity with GitHub, Git, CI/CD workflows, and collaborative software development practices. • Knowledge of front-end languages and libraries such as HTML, CSS, JavaScript, TypeScript, React, Angular, or similar technologies. • Knowledge of back-end languages and frameworks such as Python, Java, C#, Node.js, FastAPI, Flask, Django, or similar technologies. • Familiarity with databases such as MySQL, PostgreSQL, MongoDB, or other structured and unstructured data stores. • Familiarity with evaluation frameworks, experiment tracking systems, data pipelines, or machine learning infrastructure is strongly preferred. • Ability to analyze complex model outputs and translate qualitative failures into structured, measurable categories. • Strong problem-solving and troubleshooting skills, especially for ambiguous technical issues involving models, data, metrics, and software systems. • Effective communication and collaboration skills, with the ability to work across research, engineering, data, and product teams. • Strong attention to detail and a high bar for evaluation quality, reliability, and interpretability. Preferred Qualifications • Experience with large language models, foundation models, multimodal models, or model evaluation systems. • Experience designing or using error taxonomies, evaluation rubrics, benchmark datasets, human evaluation workflows, or automated grading systems. • Experience with Python-based data analysis tools such as pandas, NumPy, Jupyter, or similar. • Experience with visualization or dashboarding tools for model quality analysis. • Experience with distributed systems, job queues, workflow orchestration, or large-scale data processing. • Experience working in a research environment or with fast-moving AI product and model teams. Salary Range The posted salary range represents the company's good faith estimate of the compensation for this position upon hire. The actual compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, geographic location, and specific business needs. Visa Sponsorship This position is eligible for visa sponsorship. Benefits Include • Comprehensive medical, dental, and vision benefits • Bonus • 401K plan • Generous paid time off, sick leave, and holidays • Paid parental leave • Employee assistance program • Life insurance and disability insurance

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We build and support advanced memory products that power next generation systems across the industry. We work closely with design, validation, and customer teams, and we love solving technical challenges together! In this role, you'll be the technical connection between customers and engineering for our DRAM portfolio, including HBM, DDR, and GDDR. You'll guide product validation, improve quality, and help customers integrate memory into complex platforms. This is a great fit for someone who enjoys hands on debug, data driven problem solving, and cross functional collaboration. Responsibilities: Validate and characterize DRAM products on system platforms and next generation processors Analyze product, yield, and performance data to improve quality and reliability Support failure analysis and document corrective actions Develop application notes, design guidance, and technical training Assist customer integration efforts, including SI/PI, timing, and system bring up Minimum Qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, or related field Experience in product engineering, applications engineering, hardware validation, or system integration Understanding of memory technologies, system architecture, or platform validation Exposure to tools such as Python, Linux, or JMP Strong problem solving and communication skills Utilize AI Agents Preferred Qualifications: Experience with DDR4, DDR5, HBM, GDDR, or similar memory technologies Familiarity with lab equipment, electrical validation, or SI/PI fundamentals Master's degree in Electrical Engineering, Computer Engineering, or related field Experience supporting customer bring up or system level debug The US base salary range that Micron Technology estimates it could pay for this full-time position is: $177,000.00 - $302,000.00 a year Additional compensation may include benefits, bonuses and equity. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at or 1- (select option ) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

This opportunity is for U.S. citizens who have served in the U.S. Armed Forces including Reserves, National Guard, and service member spouses. How would you like to be a part of Earth's most customer-centric company? You would work with teams of front-line responders who support the operations of some of the world's most powerful data centers. Our Data Center Engineering Operations team maintain and operate our critical infrastructure systems so that they are prepared to stand up against any situation. AWS has the world's largest cloud computing portfolio. As an Amazonian you will work in some of the most sophisticated, safe, and secure data centers in the world. Our Chief Engineers (CE) help keep them that way by working with the brightest minds from around the globe to help test and implement the newest technology and work practices to meet the demands of a changing market. We have a passion for learning and evolving, it's how we have helped define ourselves as leaders in the industry. Let's work hard, have fun, and make history! Key job responsibilities - Act as the primary escalation point for all facilities-related issues. Oversee operation and management of routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc. - Perform root cause analysis of equipment failures, and troubleshooting of facility within internal Service Level Agreements (SLA). - Provide training and guidance to Engineering Operations Technicians and responsible for working with Facility Manager (FM) to set team culture. - Create and deploy new standard practices for Engineering Operations Technicians, Chief Engineers, and vendor support teams - May assist in the build out of new facilities and assist in projects to increase current facility efficiency - Working outside of normal business hours for routine maintenance as required, including responding to out-of-hours emergency calls. - Communicate complex technical information to a non-technical audience. - Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency - Ensure all safety procedures are adhered to by vendor and Amazon staff - Establish building performance benchmarks, conduct analyses, and prepare reports on all aspects of the critical facility operations and maintenance. - Utilize Microsoft Excel, Word, Outlook and other basic administrative tools to perform day to day tasks Physical Requirements: Willingness and demonstrated ability to work in the following physical conditions with reasonable accommodations: - Regularly lift and/or move up to 39 pounds independently - Participate in group lifts for 40+ pounds - Maintain balance and perform construction tasks while on a ladder - Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl, climb stairs, twist, bend, work above shoulders, grasp, carry, push and pull objects into position - Work in an environment requiring provided ear protection A day in the life This role acts as Amazon's front line when it comes to hands-on electrical and mechanical equipment troubleshooting. They maintain, operate, and troubleshoot mission-critical data center facility equipment including electrical support equipment that supports servers that must maintain better than 99.999% uptime. Equipment will include but is not limited to stand-by diesel generators and related fuel systems, 3 phase electrical systems such as switchgear, UPS units, PDUs, and wet cell batteries and associated systems. Mechanical equipment includes CRAHU units, centrifugal chillers, cooling towers, water systems, air handlers and associated systems, pumps, and motors. Additional support equipment is included in the scope of the role which includes fire/life safety equipment, building automation systems, and general facilities equipment. The CE directs, trains and supports technicians in their role of providing hands-on electrical and mechanical equipment troubleshooting and operations. Implementation and execution of site/equipment-specific training exercises is also expected. They manage projects from conception to completion. These projects involve independent work as well as collaboration with external support groups including engineering, automation, processing, and finance in both local and global settings. The CE will be tasked with creating and delivering on key milestones, obtaining and tracking quotes for all necessary costs, and documenting project results for future implementation at other facilities. About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Why 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. 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. 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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness. 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. 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. BASIC QUALIFICATIONS- 3+ years of Microsoft Office products and applications experience - 3+ years of mission critical facilities (example: hospital, military facility, public safety facility, etc.) experience including industrial electrical and mechanical systems - Experience with reading and writing procedures, technical documents, and engineering drawings PREFERRED QUALIFICATIONS- Experience in data center engineering or operations - Experience in construction or project management - Experience leading technical teams through daily operations and maintenance evolutions - Must be able to work in an environment that involves walking, stooping, bending, and climbing to access equipment. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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, NV, Sparks - 96 300.00 USD annually

Join our dynamic Data Center Engineering Operations Team and become a critical architect of the infrastructure that powers global cloud computing. You'll play a pivotal role in maintaining the heartbeat of Amazon Web Services' physical infrastructure, ensuring seamless operations that support millions of customers worldwide. The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This involves planned preventative maintenance of equipment, daily corrective work, and emergency response. The CE serves as an expert technical resource interacting with onsite Engineering Operations Technicians (EOT) and any third-party vendors. They are expected to be a singular focal point for all facility operations within a given data center and to support AWS. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Relocation assistance will be provided to eligible candidates who relocate for this position. Key job responsibilities Act as the primary escalation point for all facilities-related issues. Oversee operation and management of routine and emergency services on a variety of critical systems such as switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc. Perform root cause analysis of equipment failures and troubleshooting of facility within internal Service Level Agreements (SLA). Provide training and guidance to Engineering Operations Technicians and are responsible for working with Facility Manager (FM) to set team culture. Create and deploy new standard practices for Engineering Operations Technicians, Chief Engineers, and vendor support teams May assist in the building out of new facilities and assist in projects to increase current facility efficiency Working outside of normal business hours for routine maintenance as required, including responding to out-of-hours emergency calls. Communicate complex technical information to a non-technical audience. Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency Ensure all safety procedures are adhered to by vendor and Amazon staff Establish building performance benchmarks, conduct analyses, and prepare reports on all aspects of the critical facility of operations and maintenance. Utilize Microsoft Excel, Word, Outlook and other basic administrative tools to perform day-to-day tasks Physical Requirements: Willingness and demonstrated ability to work in the following physical conditions with reasonable accommodation: Regularly lift and/or move up to 39 pounds independently Participate in group lifts for 40+ pounds Maintain balance and perform construction tasks while on a ladder Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl, climb stairs, twist, bend, work above shoulders, grasp, carry, push and pull objects into position Work in an environment requiring provided ear protection Essential Requirements: • Ability to travel to or commute between data center locations as needed • Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational • Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. BASIC QUALIFICATIONS- 3+ years of electrical and mechanical facilities maintenance, or 3+ years of electrical facilities maintenance and 2+ years of mechanical facilities maintenance experience - Experience reading and writing procedures, technical documents, and engineering drawings - 3+ years of Microsoft Office products and applications experience PREFERRED QUALIFICATIONS- Experience in data center engineering or operations - Experience in construction or project management - Experience leading technical teams through daily operations and maintenance evolutions - Can work in an environment that involves walking, stooping, bending, and climbing to access equipment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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, NV, SPARKS - 96 300.00 USD annually

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Summary The O&M Gas Systems Engineer supports the safe, reliable, and efficient operation of bulk and specialty gas delivery systems that enable semiconductor manufacturing. This role partners with Operations, Maintenance, Manufacturing, Safety, and Engineering teams to improve system reliability, troubleshoot complex equipment issues, drive continuous improvement initiatives, and support capital and operational projects while ensuring compliance with environmental, health, safety, and quality standards. The engineer leverages data analytics, AI-enabled tools, and digital technologies to enhance decision-making, optimize system performance, and improve operational efficiency. Responsibilities Support the operation, maintenance, and continuous improvement of bulk and specialty gas systems to ensure safe and reliable semiconductor manufacturing operations. Analyze system performance data, identify improvement opportunities, troubleshoot equipment issues, and lead root cause investigations to improve reliability and reduce risk. Utilize AI, machine learning, and advanced analytics tools to identify trends, predict equipment failures, optimize maintenance strategies, and enhance operational performance. Develop and implement digital solutions, dashboards, automated reporting, and data visualization tools that improve engineering efficiency and decision-making. Ensure compliance with Micron safety, environmental, quality, and change management requirements while promoting a strong safety culture. Partner with Operations, Maintenance, Manufacturing, and other stakeholders to resolve system issues, improve equipment performance, and support production goals. Lead and support engineering projects including equipment upgrades, new installations, commissioning activities, and reliability improvements. Develop and maintain engineering documentation, design standards, procedures, specifications, and preventive maintenance strategies. Utilize engineering principles, TPM methodologies, and data-driven insights to drive cost savings, efficiency improvements, and operational excellence. Provide technical guidance and support to cross-functional teams while effectively communicating project status, risks, recommendations, and data-driven conclusions. Minimum Qualifications Bachelor's degree in Engineering, Chemistry, Semiconductor Technology, or a related technical field, or equivalent combination of education and experience. Strong analytical and troubleshooting skills with the ability to identify root causes and implement effective corrective actions. Ability to work effectively in a cross-functional team environment and communicate technical information clearly to diverse audiences. Experience using engineering data, schematics, technical documentation, and standard problem-solving methodologies. Familiarity with data analytics, AI-assisted tools, or digital technologies used to support engineering, maintenance, or operational decision-making. Demonstrated commitment to safety, quality, and continuous improvement. Preferred Qualifications Experience supporting industrial utility systems, gas delivery systems, semiconductor facilities, or related manufacturing environments. Knowledge of high-purity gas systems, instrumentation and controls, mechanical systems, and reliability engineering principles. Experience applying AI, machine learning, predictive analytics, or digital engineering tools to improve equipment reliability, maintenance effectiveness, or operational performance. Experience leading projects, coordinating cross-functional teams, and managing multiple priorities simultaneously. Familiarity with TPM, FMEA, root cause analysis, risk assessment, and continuous improvement methodologies. Experience developing automated workflows, dashboards, reporting systems, or engineering solutions using tools such as Microsoft Copilot, Power BI, Power Automate, Python, SQL, CMMS, SAP, Maximo, or similar platforms. Experience using AI-assisted productivity and engineering tools to improve technical documentation, data analysis, troubleshooting, and operational decision-making. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at or 1- (select option ) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Job Description Job Description At Tesco Controls (a UFT company), our culture is grounded in the idea that the how we achieve results is just as important as the results themselves. Our winning behaviors guide the way we work, collaborate, and grow-both as individual employees and as a team. Our core winning behaviors are to Build Relationships, have a Relentless Drive for Results, to Communicate with Integrity and Focus, and to Be a Mentor, Teacher, Learner. These behaviors are more than words-they are the foundation of our success and continued growth. Here, you'll join a stable, growing company where your work directly supports cleaner water, stronger communities, and critical infrastructure across the country. If you want meaningful work, real growth opportunities, and a team that takes pride in doing the right thing-you'll find it here. Apply today and help power the systems that keep our world running. The PLC Applications Engineer is responsible for developing PLC programs, Operator Interface Terminal (OIT/HMI) applications, and software control descriptions used to monitor and control a variety of water and wastewater processes. This position plays a critical role in the analysis, design, programming, testing, debugging, and modification of programmable control logic to ensure safe, efficient, and compliant system operation. Senior level PLC Applications Engineers are expected to serve as technical leaders by mentoring and supporting other programmers, contributing to the development of departmental standards, and helping establish best practices to improve quality, consistency, and efficiency across projects. This role will travel about 30-40% of the time throughout California. What you will do: Write PLC operating program based upon control specification and/or Tesco standards to assure safe, reliable and optimal equipment operation Write (publish) concise operating instructions detailing; control parameters and their effects under normal and failure conditions Provide technical assistance (phone or job-site) to verify and/or modify PLC program Perform customer training and assist sales force with product presentations Work with various departments internally, along with consulting engineers, customers and end-users to assure proper system layouts and designs Assist in training other employees on any aspect above What you bring: Bachelor's degree in Computer Science/Engineering/Technology or related field and industry experience Applied knowledge in programming major manufacturers (Allen-Bradley, Schneider Electric, Siemens, Tesco, etc.) PLCs & OITs Preferred 2-5+ years of related experience Fluency with programming at least 3 manufacturers PLC's Excellent understanding of computer operations, Microsoft Office Excellent knowledge of instruments and electro-mechanical devices used for process control Excellent verbal and written communication skills Excellent attention to detail High level of organizational and time management skills High level of project management skills Pay offered will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, and geographic location. We may pay more or less than the range based on the person's qualifications. In good faith we believe the range is what we will pay for this role at the time of the posting and may change in the future. In addition, Tesco offers a comprehensive benefits package, including health, vacation, holidays, and 100% 401K match of your contributions up to 4% of your earnings. Join our team to innovate the future of water and wastewater. You'll collaborate with coworkers who are the best and the brightest, challenge yourself on exciting work, and help build the best water and wastewater platform company in the U.S. Tesco Controls is an Equal Employment Opportunity Employer. TESCO provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, or genetic information. (Compliant with the new VEVRAA and Section 503 rules) .

Job Description Job Description At Tesco Controls (a UFT company), our culture is grounded in the idea that the how we achieve results is just as important as the results themselves. Our winning behaviors guide the way we work, collaborate, and grow-both as individual employees and as a team. Our core winning behaviors are to Build Relationships, have a Relentless Drive for Results, to Communicate with Integrity and Focus, and to Be a Mentor, Teacher, Learner. These behaviors are more than words-they are the foundation of our success and continued growth. Here, you'll join a stable, growing company where your work directly supports cleaner water, stronger communities, and critical infrastructure across the country. If you want meaningful work, real growth opportunities, and a team that takes pride in doing the right thing-you'll find it here. Apply today and help power the systems that keep our world running. Under little to no supervision, the PLC Applications Engineer writes PLC programs, OIT programs, and software control descriptions for controlling various water and/or wastewater processes. Responsible for the analysis, design, programming, debugging and modification of programmable logic for such applications. Verify that all aspects of PLC & OIT functionality meet required project specifications and perform bench testing, shop testing, and troubleshooting during startup and post commissioning. Ability and willingness to train and aid other programmers, along with assisting in the development of departmental best practices and standards. This role will travel about 30-40% of the time throughout California. What you'll do: Write PLC operating program based upon control specification and/or Tesco standards to assure safe, reliable and optimal equipment operation Write (publish) concise operating instructions detailing; control parameters and their effects under normal and failure conditions Provide technical assistance (phone or job-site) to verify and/or modify PLC program Perform customer training and assist sales force with product presentations Work with various departments internally, along with consulting engineers, customers and end users to assure proper system layouts and designs Analyze and interpret existing programs and documentation to identify systems' requirements and project modifications Ensure assignments and work schedules follow policy and procedures Assist in the standardization of department programming practices and procedures Evaluate current procedures and recommend changes to improve the efficiency of planning, documentation and execution of development activity Function as technical leadership of projects and support larger scale projects Communicate effectively to a wide range of internal and external contacts Assist in training other employees on any aspect above Provide weekly content and job status reports used with scheduling tools. All other duties assigned What you bring: At least 5+ years of related experience Bachelor's degree in Computer Science/Engineering/Technology or related field and necessary experience Applied knowledge in programming major manufacturers (Allen-Bradley, Schneider Electric, Siemens, Tesco, etc.) PLCs & OITs Excellent understanding of computer operations, Microsoft Office Excellent knowledge of instruments and electro-mechanical devices used for process control Excellent verbal and written communication skills Excellent attention to detail High level of organizational and time management skills High level of project management skills Pay offered will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, and geographic location. We may pay more or less than the range based on the person's qualifications. In good faith we believe the range is what we will pay for this role at the time of the posting and may change in the future. Join our team to innovate the future of water and wastewater. You'll collaborate with coworkers who are the best and the brightest, challenge yourself on exciting work, and help build the best water and wastewater platform company in the U.S. Tesco Controls is an Equal Employment Opportunity Employer. TESCO provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, or genetic information. (Compliant with the new VEVRAA and Section 503 rules) .

This job posting is anticipated to remain open for 30 days, from 14-Sep-2026. The posting may close early due to the volume of applicants. Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500 company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we're proud to be privately-owned, placing the focus on our clients rather than shareholder returns. Behind everything we do is our purpose: We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging. People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career. View our Purpose, Inclusion and Citizenship Report . Fortune 500, published June 2024, data as of December 2023. Compensation provided for using, not obtaining, the rating. Team Overview: We are seeking a highly technical, hands-on Senior Non-Human Identity Engineer to lead the engineering, automation, onboarding, remediation, and operational management of non-human identities across the enterprise. This role is focused on the implementation and day-to-day engineering of machine identities, service accounts, workload identities, API credentials, certificates, secrets, and privileged application accounts supporting cloud, on-premises, and hybrid environments. This is not an architecture-only or governance-only position. The successful candidate will be expected to personally build solutions, write automation, troubleshoot authentication issues, onboard applications, integrate platforms, and drive remediation efforts. The engineer will work closely with application teams, DevOps, cloud engineering, cybersecurity, and infrastructure teams to ensure non-human identities are properly secured, monitored, and managed throughout their lifecycle. The ideal candidate combines deep IAM expertise with strong scripting, automation, cloud, and troubleshooting skills, and is comfortable operating in a fast-paced enterprise environment where hands-on execution is critical. What You'll Do: Engineer, implement, and support enterprise non-human identity solutions across cloud, on-premises, and hybrid environments. Develop and maintain automated provisioning, credential rotation, secret management, certificate lifecycle management, and deprovisioning processes. Perform onboarding and migration of service accounts, managed identities, workload identities, application accounts, and machine credentials into enterprise identity management platforms. Configure, deploy, and support privileged access controls for non-human identities using PAM and secrets management technologies. Work directly with development, application, and infrastructure teams to eliminate hardcoded credentials and replace legacy authentication methods with modern identity solutions. Design, build, and maintain automation using PowerShell, Python, REST APIs, Terraform, and other scripting or orchestration technologies. Integrate identity controls into CI/CD pipelines and DevSecOps workflows. Troubleshoot and resolve authentication, authorization, federation, certificate, token, and credential-related issues across enterprise applications. Support large-scale remediation initiatives involving dormant service accounts, excessive permissions, unmanaged secrets, and identity-related security vulnerabilities. Configure and administer identity platforms, including directory services, cloud identity providers, PAM solutions, certificate authorities, and secrets vaults. Monitor non-human identity activity and investigate suspicious authentication events, credential misuse, or policy violations. Conduct access reviews and entitlement analysis to ensure least-privilege principles are maintained. Create operational runbooks, implementation guides, engineering standards, and technical documentation. Partner with Security Operations and Incident Response teams during investigations involving machine identities and application credentials. Participate in after-hours support activities, major incident response, and maintenance activities when required. What Experience You'll Need: Bachelor's degree in Information Technology, Cybersecurity, Computer Science, Engineering, or equivalent experience. 7+ years of hands-on experience in Identity and Access Management, Cybersecurity Engineering, Infrastructure Engineering, or Cloud Security. 5+ years of direct experience managing non-human identities, service accounts, application identities, workload identities, or machine authentication technologies. Strong hands-on experience administering Microsoft Entra ID, Active Directory, or similar identity platforms. Experience implementing and supporting secrets management, credential vaulting, and privileged access solutions. Strong scripting and automation skills using PowerShell, Python, Bash, or similar technologies. Experience working with OAuth 2.0, OpenID Connect, SAML, Kerberos, LDAP, certificates, and PKI technologies. Experience supporting Azure, AWS, Google Cloud, or multi-cloud environments. Ability to analyze logs, troubleshoot authentication failures, and resolve complex identity-related issues. Experience working within enterprise change management, incident management, and operational support processes. Strong verbal and written communication skills with the ability to collaborate across technical teams. What Could Set You Apart: Hands-on experience with CyberArk, HashiCorp Vault, Delinea, BeyondTrust, SailPoint, Microsoft Entra Workload Identities, or similar platforms. Experience managing certificate lifecycles and public/private key infrastructure. Experience securing Kubernetes, containers, microservices, and cloud-native applications. Familiarity with Infrastructure as Code technologies such as Terraform, Bicep, ARM, or CloudFormation. Experience with SIEM platforms and identity security monitoring. CISSP, CISM, Security+, Microsoft Identity and Access Administrator, CyberArk Defender/Sentry, or related certifications. Candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office four days per week effective June 1, 2026. Before June 1, 2026, candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office three days per week, with preference for Tuesday through Thursday. a text-decoration: none; color: ; tr th, tr td border: 1px solid ; tr th background-color: ; At Edward Jones, we are building a place where everyone feels like they belong. We're proud of our associates' contributions to the firm and the recognitions we have received. Check out our U.S. awards and accolades: Insights & Information Blog Postings about Edward Jones Check out our Canadian awards and accolades: Insights & Information Blog Postings about Edward Jones Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law. Edward Jones' compensation and benefits package includes medical and prescription drug, dental, vision, voluntary benefits (such as accident, hospital indemnity, and critical illness), short- and long-term disability, basic life, and basic AD&D coverage. Short- and long-term disability, basic life, and basic AD&D coverage are provided at no cost to associates. Edward Jones offers a 401k retirement plan, and tax-advantaged accounts: health savings account, and flexible spending account. Edward Jones observes ten paid holidays and provides 15 days of vacation for new associates beginning on January 1 of each year, as well as sick time, personal days, and a paid day for volunteerism. Associates may be eligible for bonuses and profit sharing. All associates are eligible for the firm's Employee Assistance Program. For more information on the Benefits available to Edward Jones associates, please visit our benefits page . Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act. Edward Jones is prohibited from hiring individuals with certain specified criminal history as set forth in Section 3(a)(39) and 15(b)(4) and Rule 17a-3(a)(12) of the Securities and Exchange Act of 1934, and conducts background reviews consistent with FINRA Rule 3110(e). A copy of a notice regarding the provisions of the Los Angeles County Fair Chance Ordinance is available at: dcba.lacounty.gov/wp-content/uploads/2024/08/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf .

Join our dynamic Data Center Engineering Operations Team and become a critical architect of the infrastructure that powers global cloud computing. You'll play a pivotal role in maintaining the heartbeat of Amazon Web Services' physical infrastructure, ensuring seamless operations that support millions of customers worldwide. The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This involves planned preventative maintenance of equipment, daily corrective work, and emergency response. The CE serves as an expert technical resource interacting with onsite Engineering Operations Technicians (EOT) and any third-party vendors. They are expected to be a singular focal point for all facility operations within a given data center and to support AWS. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Relocation assistance will be provided to eligible candidates who relocate for this position. This opportunity is located within the greater Lubbock area in Floydada, TX. Key job responsibilities Act as the primary escalation point for all facilities-related issues. Oversee operation and management of routine and emergency services on a variety of critical systems such as switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc. Perform root cause analysis of equipment failures and troubleshooting of facility within internal Service Level Agreements (SLA). Provide training and guidance to Engineering Operations Technicians and are responsible for working with Facility Manager (FM) to set team culture. Create and deploy new standard practices for Engineering Operations Technicians, Chief Engineers, and vendor support teams May assist in the building out of new facilities and assist in projects to increase current facility efficiency Working outside of normal business hours for routine maintenance as required, including responding to out-of-hours emergency calls. Communicate complex technical information to a non-technical audience. Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency Ensure all safety procedures are adhered to by vendor and Amazon staff Establish building performance benchmarks, conduct analyses, and prepare reports on all aspects of the critical facility of operations and maintenance. Utilize Microsoft Excel, Word, Outlook and other basic administrative tools to perform day-to-day tasks Physical Requirements: Willingness and demonstrated ability to work in the following physical conditions with reasonable accommodation: Regularly lift and/or move up to 39 pounds independently Participate in group lifts for 40+ pounds Maintain balance and perform construction tasks while on a ladder Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl, climb stairs, twist, bend, work above shoulders, grasp, carry, push and pull objects into position Work in an environment requiring provided ear protection Essential Requirements: • Ability to travel to or commute between data center locations as needed • Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational • Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. BASIC QUALIFICATIONS - 3+ years of electrical and mechanical facilities maintenance, or 3+ years of electrical facilities maintenance and 2+ years of mechanical facilities maintenance experience - Experience reading and writing procedures, technical documents, and engineering drawings - 3+ years of Microsoft Office products and applications experience PREFERRED QUALIFICATIONS - Experience in data center engineering or operations - Experience in construction or project management - Experience leading technical teams through daily operations and maintenance evolutions - Can work in an environment that involves walking, stooping, bending, and climbing to access equipment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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, TX, Lubbock - 96 300.00 USD annually

Join our dynamic Data Center Engineering Operations Team and become a critical architect of the infrastructure that powers global cloud computing. You'll play a pivotal role in maintaining the heartbeat of Amazon Web Services' physical infrastructure, ensuring seamless operations that support millions of customers worldwide. The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This involves planned preventative maintenance of equipment, daily corrective work, and emergency response. The CE serves as an expert technical resource interacting with onsite Engineering Operations Technicians (EOT) and any third-party vendors. They are expected to be a singular focal point for all facility operations within a given data center and to support AWS. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Relocation assistance will be provided to eligible candidates who relocate for this position. Key job responsibilities Act as the primary escalation point for all facilities-related issues. Oversee operation and management of routine and emergency services on a variety of critical systems such as switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc. Perform root cause analysis of equipment failures and troubleshooting of facility within internal Service Level Agreements (SLA). Provide training and guidance to Engineering Operations Technicians and are responsible for working with Facility Manager (FM) to set team culture. Create and deploy new standard practices for Engineering Operations Technicians, Chief Engineers, and vendor support teams May assist in the building out of new facilities and assist in projects to increase current facility efficiency Working outside of normal business hours for routine maintenance as required, including responding to out-of-hours emergency calls. Communicate complex technical information to a non-technical audience. Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency Ensure all safety procedures are adhered to by vendor and Amazon staff Establish building performance benchmarks, conduct analyses, and prepare reports on all aspects of the critical facility of operations and maintenance. Utilize Microsoft Excel, Word, Outlook and other basic administrative tools to perform day-to-day tasks Physical Requirements: Willingness and demonstrated ability to work in the following physical conditions with reasonable accommodation: Regularly lift and/or move up to 39 pounds independently Participate in group lifts for 40+ pounds Maintain balance and perform construction tasks while on a ladder Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl, climb stairs, twist, bend, work above shoulders, grasp, carry, push and pull objects into position Work in an environment requiring provided ear protection Essential Requirements: • Ability to travel to or commute between data center locations as needed • Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational • Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. BASIC QUALIFICATIONS - 3+ years of electrical and mechanical facilities maintenance, or 3+ years of electrical facilities maintenance and 2+ years of mechanical facilities maintenance experience - Experience reading and writing procedures, technical documents, and engineering drawings - 3+ years of Microsoft Office products and applications experience PREFERRED QUALIFICATIONS - Experience in data center engineering or operations - Experience in construction or project management - Experience leading technical teams through daily operations and maintenance evolutions - Can work in an environment that involves walking, stooping, bending, and climbing to access equipment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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, NV, SPARKS - 96 300.00 USD annually