48 jobs found

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

Job Description Job Location GREENSBORO BROWN SUMMIT PLANT Job Description We are looking for a highly skilled and agile Senior Controls & Automation Engineer to join our Oral Care engineering teams at the Greensboro Browns Summit Plant. This Engineer will play a pivotal role in the design, development, and implementation of advanced control systems and automation solutions for our Oral Care manufacturing processes. This position requires a strong understanding of control theory, automation technologies, and the ability to integrate intelligent systems to enhance operational efficiency, product quality, and safety. The ideal candidate has a strong technical background and the curiosity to solve hard problems as you will be in a leadership role defining business priorities and developing solutions. Key Responsibilities: Control System Design: Develop and implement control strategies for manufacturing processes, ensuring optimal performance, reliability, and safety. Automation Development: Design and program automation solutions using PLCs, SCADA systems, and other control technologies to streamline operations and improve productivity. Intelligent Systems Integration: Implement advanced data analytics, machine learning algorithms, and AI-driven solutions to enhance process control and decision-making. Collaborative Projects: Work closely with cross-functional teams, including manufacturing, quality assurance, and maintenance, to identify automation opportunities and drive continuous improvement initiatives. System Optimization: Conduct performance analysis and troubleshooting of existing control systems, identifying areas for improvement and implementing solutions. Documentation, Training, and Compliance: Prepare technical documentation, including system specifications and user manuals, while providing training and support to plant personnel on new systems and technologies. Ensure all automation systems adhere to industry standards and regulations, fostering a culture of safety in engineering practices. Job Qualifications REQUIRED: BS/MS in Engineering Process and/or Machine Control experience Proven expertise with sensors, motors, PLC's, and industrial automation 5+ years of professional experience with collaborating across teams/organizations 10% travel required (international and domestic) Ability to work in office 5 days a week in person at our Greensboro Browns Summit Plant in North Carolina PREFERRED: Electrical ENG degree preferred Experience with Rockwell Control Logix platforms Experience with computer and industrial networks At P&G, we believe that diverse experiences help build strong leaders. Mobility is a key component of many management careers, providing opportunities to grow through different assignments, locations, and business challenges. Candidates should be prepared to consider relocation opportunities throughout their career as business needs and development opportunities arise. Compensation for roles at P&G varies depending on a wide array of non-discriminatory factors including but not limited to the specific office location, role, degree/credentials, relevant skill set, and level of relevant experience. At P&G compensation decisions are dependent on the facts and circumstances of each case. Total rewards at P&G include salary + bonus (if applicable) + benefits. Your recruiter may be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the hiring process. We are committed to providing equal opportunities in employment. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Immigration Sponsorship is not available for this role. For more information regarding who is eligible for hire at P&G along with other work authorization FAQ's, please click HERE . Procter & Gamble participates in E-Verify. Qualified individuals will not be disadvantaged based on being unemployed. P&G is dedicated to meeting the needs of applicants requesting an accommodation/adjustment due to a disability in order to complete the online application process. If you have a disability that affects your ability to complete our online application process, please visit our Disability Accommodation Page . Job Schedule Full time Job Number R Job Segmentation Experienced Professionals Starting Pay / Salary Range $110,000.00 - $165,300.00 / year

Job Description MI Solutions Architect Ruston, Louisiana $125,000 to $150,000 base plus year end profit share Permanent, relocation supported If you've delivered an MES implementation on Ignition at an integrator and clients like having you in the room, this is a chance to lead the manufacturing intelligence work as a new office grows. A vendor independent integrator who have been an Inductive Automation Premier Integrator for several years and have their own MES product built on Ignition. They want a senior MES engineer there to lead MES, historian and database projects, be the main technical contact for clients and bring on the engineers beneath and around you. Day to day it's Ignition, SQL Server, Python and JavaScript, plus Azure, MQTT and OPC UA. You'd join the sales team on client visits, job walk downs and proposals. Travel is up to 25%. The company has been around for decades, delivered 270 projects last year and finished the year very strong. Medical premium is paid in full on the base plan, the 401(k) match is there and the profit share has paid out in all but one recent year. The cost of living is low, families buy land and Monroe airport is about 35 miles away. Relocation is reimbursed. You'll need five years or more hands on with Ignition and SQL Server, plus an MES implementation you can walk through. Send me your resume and I'll tell you more.

Description: All applicants must be located in, or willing to commute to Dayton, OH. Relocation is not available. This is not a remote position. At FC Industries, we believe that your success is our success. Since our founding in 1972, we've grown from a small family business into a thriving manufacturing organization with more than 390,000 square feet of space. Now in our second generation of family ownership and leadership, we continue to invest in our people, our facilities, and the technology that drives us forward. We're continuing to invest in advanced manufacturing equipment, automation, and new technology to support our growth. That means our business systems are more important than ever. We're looking for a Senior IT Systems Developer who can help us connect our technology, improve how we work, and build solutions that support the future of our entire organization. About the Role: FC Industries is seeking a Senior Epicor Kinetic Developer to serve as our internal technical expert for Epicor. This hands-on role develops custom applications, extends business logic, builds integrations, and resolves complex issues within our Epicor Kinetic environment. You will work with IT leadership and business teams to translate operational needs into reliable, maintainable ERP solutions. You should understand how Epicor works beneath the screen: its data relationships, business objects, transaction flow, and customization tools. One day you may build a custom application in Epicor; another, you may investigate a system issue or help our Data Analyst develop a Power BI report by identifying the right data and explaining the business logic behind it. Benefits of being a Senior Epicor Kinetic Developer: Medical, Dental, Vision Insurance HSA with Company Seed Money Life insurance and disability plans Immediate holiday pay Paid Time Off 401k retirement savings with company match Pay for school with 100% tuition reimbursement (books included!) On-site café/convenience store Weekly paychecks Free on-site wellness coaching and YMCA discount Corporate partner discounts through Verizon, Chrysler, GM, and Working Advantage Fun perks such as gift cards, 50/50 drawings, picnics, holiday parties, employee appreciation days and more! Essential Functions: Serve as the primary technical resource for Epicor Kinetic architecture, data structures, business objects, and customization tools. Design, build, test, deploy, and maintain custom Epicor applications, screens, and dashboards using Kinetic Application Studio. Develop Business Process Management (BPM) directives and Epicor Functions to automate workflows, validate transactions, and implement reusable business logic. Build, optimize, and document Business Activity Queries (BAQs), calculated fields, and user-defined data structures to support business requirements. Design and support integrations between Epicor and other business or manufacturing systems using REST APIs, business objects, and approved integration tools. Partner with the Data Analyst on Power BI reporting. Identify source data, explain table relationships and transaction logic, build reliable datasets, and validate results against Epicor transactions. Assist with report development, data modeling, and data quality or refresh issues as needed. Diagnose complex application, workflow, integration, performance, and data issues; determine root causes and coordinate resolution with Epicor support and external vendors. Gather requirements from business teams, evaluate standard Epicor functionality, and recommend appropriate configurations, customizations, or integrations. Support Epicor implementations, migrations, upgrades, and release validation, including regression testing of customizations, integrations, and reporting dependencies. Document solution designs, code, dependencies, and test results. Maintain version control and controlled deployments between development, test, and production environments. Apply appropriate permissions, secure API access, and supported development methods that protect data integrity and maintainability in a cloud-hosted ERP environment. Share Epicor technical knowledge with IT and business teams to strengthen internal capability and ongoing support. Requirements: Required Qualifications: 7+ years of ERP or enterprise application development experience, including substantial hands-on Epicor ERP development and recent production experience with Epicor Kinetic. U.S. Citizenship Required: Due to FC Industries' work supporting Department of Defense (DoD) programs and applicable regulatory compliance requirements, applicants must be U.S. citizens Proven ability to independently deliver Epicor solutions using Application Studio, BPMs, BAQs, and Epicor Functions. Strong understanding of the Epicor data model, business objects, table relationships, and transaction flow. C# development experience for Epicor business logic or integrations, with working knowledge of .NET. Working knowledge of relational databases and SQL query logic, with experience retrieving and validating Epicor data through BAQs, APIs, and approved data access methods. Experience with REST APIs, JSON, web services, authentication, and system integration patterns. Strong problem-solving and communication skills, with the ability to manage priorities, document work, and collaborate with technical and nontechnical colleagues. Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related field, or an equivalent combination of education and relevant experience. Preferred Qualifications: Manufacturing industry experience, including Epicor workflows for orders, jobs, purchasing, inventory, and financial transactions. Experience with cloud-hosted Epicor environments, upgrades, and implementations across multiple companies or sites. Microsoft Power BI experience, including data modeling, Power Query, or DAX; experience with Epicor reporting tools such as SQL Server Reporting Services (SSRS). Experience using Microsoft Power Apps and Power Automate to extend or integrate with Epicor. PIa9ff132905cb-0750

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

Job Description Job Description Divergent is building the new industrial age. Every day, our teams design, manufacture, and assemble advanced systems for some of the world's most demanding industries. Our integrated engineering and manufacturing platform transforms complex designs into production-ready solutions, helping customers move faster, build smarter, and deliver critical systems when they matter most. Divergent is a qualified Tier 1 supplier to global automotive OEMs and supports leading U.S. aerospace and defense companies. Join us and help push the boundaries of what can be built. Purpose We are seeking a talented and motivated Software Developer to join our Robotics & AI Software team. In this role, you will have the opportunity to work closely with experienced automation and software engineers to develop and implement innovative algorithms for task and motion planning plus computer vision in robotic systems. As a key member of our team, you will contribute to the design, development, and testing of software solutions aimed at enhancing the efficiency and reliability of robotic software algorithms. This involves symbolic task planning, robot kinematics, collision detection, optimization, and computer vision. The Role Develop and maintain software development best practices to ensure high-quality code, efficient testing, and timely releases. Collaborate with other teams to ensure that our software integrates seamlessly with other software products. Collaborate with senior engineers to understand project requirements and contribute to the development of software solutions for robot task and motion planning. Design, implement, and optimize algorithms within our planning framework, leveraging your programming skills and understanding of robotics principles. Assist in the integration and testing of computer vision software to ensure robustness and performance in real-world scenarios. Document your work, including code, algorithms, user manuals, and procedures, to support knowledge sharing and future development efforts. Stay updated on advancements in robot planning algorithms and technologies, and contribute fresh ideas and insights to the team. Basic Qualifications Ability to lawfully access information and technology that is subject to US export controls Bachelor's in Computer Science, Robotics, or related field with 5+ years of professional experience. Proficient in programming languages such as C++ and Python. Strong knowledge of data-structures, algorithms, and design pattern. Fundamental understanding of industrial robotics including manipulator kinematics & dynamics, robot trajectory generation, and communications protocols. Expertise with search algorithms, optimization methods, and constraint satisfaction. Experience with open source robotic planning and manipulation software packages such as MoveIt and ROS. Knowledge of unit-testing, CI/CD pipelines, and containerization (Docker, Kubernetes). Excellent communication and collaboration skills. Ability to work effectively with cross-functional teams, including product managers & owners, engineers, and internal customers Preferred Qualifications Master's or Ph.D. in Computer Science, Robotics, or related field with 3+ years of professional experience. Understanding of computer vision libraries such as OpenCV and PCL. Experience using programming languages such as C#, TypeScript. Explored using Generative AI in robotics. Strong publication record and/or open source contributions in the field of robotics. Work Environment Hybrid Compensation At Divergent, our pay range is based on the level of the job. For this role, we will consider candidates at levels E05 - E06 as evaluated through our interview process. E05 / Senior: $141,380 -$194.390 E06 / Staff: $163,270 - $224,500 Pay Range $141,380-$224,500 USD What We Offer Our Regular, Full-Time Employees: Holistic Compensation Package: Enjoy a world-class compensation package that includes a competitive salary, equity plan, and discretionary results-based incentive bonus opportunities, ensuring you're truly valued for your contributions. Wellness and Time Off: Embrace a healthy lifestyle with paid vacation, sick time, and company holidays, including a year-end shutdown to recharge. We support growing families with paid parental leave, recognizing the importance of bonding time. Comprehensive Health and Wellness: Prioritize your well-being with our comprehensive health and wellness benefits, offering both HMO and Premium PPO options. Additionally, benefit from company-sponsored life insurance and short and long-term disability coverage for peace of mind. Investment in Growth: We're committed to your professional development. Take advantage of reimbursement opportunities for learning and development initiatives, empowering you to continuously expand your skill set and reach peak performance. Collaborative and High-Performing Environment: Join our collaborative, dynamic, and high-performing team within a fast-paced, mission-driven company. Together, we're disrupting the traditional manufacturing industry, fostering innovation, and integrating people and technology to reduce our footprint. Equal Employment Opportunity Divergent is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected characteristic. Divergent provides affirmative action in employment for qualified Individuals with Disabilities and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. EEO Poster In order to adjust to changes in our business, it may become necessary to add, remove or modify certain duties and responsibilities, or to reassign you to another job position. From time to time you may be asked to work on special projects or to assist with other work. Your cooperation and assistance in performing such additional work is expected. E-Verify: Right to Work Our company participates in E-Verify. E-Verify is a program that electronically confirms a candidate's eligibility to work in the United States after completing the Employment Eligibility Verification (Form I-9). The information provided on the Form I-9 is compared to the records contained in the Social Security Administration and Department of Homeland Security (DHS) databases. This helps employers verify the identity and employment eligibility of newly hired employees. Eligibility to Work Poster (English) Eligibility to Work Poster (Spanish) Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO) Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO), we will consider for employment qualified applicants with arrest and conviction records. No agencies, no solicitations, and no calls please.

Job Description Job Description Business Systems Engineer Location: Onsite (NYC) or Fully Remote (US Based.) Compensation: $75,000-85,000 yearly Frank Darling designs custom engagement rings, and our software platform makes the operational complexity of that business work at scale. A single diamond can be available from a supplier, listed on our website, shown to a client, reserved for an appointment, priced into a ring, or routed into production-and every system needs to agree on what is true. Our goal is to keep inventory, pricing, orders, and internal workflows accurate, reliable, and easy for teams to use. We're looking for an engineer who enjoys working at the intersection of software, operations, and business process. You should be comfortable with ambiguity, good at translating messy real-world workflows into maintainable systems, and confident making thoughtful judgment calls when there isn't a perfect answer. You'll work closely with non-technical stakeholders, so strong communication and documentation matter as much as the code itself. We value autonomy, practical engineering, clear ownership, and systems that keep working long after they ship. What You'll Do As a Business Systems Engineer, you will help build and operate the systems that connect our e-commerce, inventory, sales, client care, production, and gemology workflows. You'll work on supplier data pipelines, Shopify integrations, pricing logic, internal tools, event-driven automations, and AI-assisted workflows that support teams across the company. Some of the systems you'll help build and maintain include: Production services that import, validate, and synchronize inventory from dozens of suppliers Shopify integrations and order orchestration services Internal tools used across Sales, Client Care, Production, and Gemology Pricing services and application-level business rules that drive our catalog Event-driven workflows running on AWS AI-assisted automation and internal tooling Monitoring and operational tooling that keeps the platform healthy API integrations connecting SaaS platforms, internal databases, and production workflows You'll spend as much time understanding the business as you do writing code. How You'll Know You'll Like This Job This role is probably a good fit if: You enjoy turning conversations into software. You ask "why?" before you ask "how?" You're comfortable with ambiguity. Business problems rarely arrive as complete requirements, and you're excited to untangle them. You enjoy making thoughtful judgment calls. There usually isn't one "correct" solution-just tradeoffs. You're technology-agnostic. Whether the right answer is Python, SQL, an AWS Lambda, an automation, or changing the business process itself, your goal is solving the problem well. You believe documentation is part of engineering. You get satisfaction from building systems that quietly do their jobs for years. What Makes Someone Successful Here We're less interested in checking every box than finding someone who enjoys this style of engineering. We're open to a range of experience levels, from strong mid-level engineers to senior candidates; scope and compensation will reflect experience. Required 2+ years of professional software development experience using Python Working knowledge of JavaScript, SQL, Bash, and GraphQL Experience designing, consuming, or debugging REST APIs Familiarity with AWS Lambda and ECS Experience working with relational databases Comfortable debugging production systems Comfortable reading and improving an existing codebase Experience using Git in a collaborative development environment Strong written communication and documentation skills Comfortable proactively working with non-technical stakeholders to clarify needs, manage expectations, and make decisions Experience using Claude Code, Codex, or similar AI coding agents as a core part of your development workflow AI-Assisted Development AI isn't an optional productivity tool here. It's part of how we build software. You should already be using Claude Code, Codex, or similar coding agents as a core part of your development workflow-not simply as autocomplete. We expect engineers to delegate implementation, investigation, refactoring, testing, and documentation to AI agents, critically review their output, and know when to trust them and when not to. Nice to Have Docker AWS SQS, DynamoDB, RDS, S3, API Gateway, CloudFront, or IAM Shopify APIs High-volume API integrations, synchronization services, or import processes , , Trello, Zapier, or similar workflow platforms Google Apps Script Google Sheets automation Monitoring, alerting, or operational tooling E-commerce, inventory, manufacturing, or retail operations systems Experience integrating LLMs into production workflows How We Work We trust engineers to make decisions. You'll work directly with the people running the business, ask questions, propose alternatives, and choose solutions that balance simplicity, reliability, and long-term maintainability. We value good judgment over rigid process, thoughtful tradeoffs over cleverness, and documentation over tribal knowledge. You'll have a great deal of autonomy, but you won't be working in isolation. We believe the best engineering comes from understanding the business deeply, collaborating with the people closest to the problem, and building systems that make everyone's work easier. What Success Looks Like Within your first 30 days You're shipping production code into existing systems. You're fielding requests from stakeholders and helping turn them into clear next steps. You're using documentation, code walkthroughs, and working sessions to build context quickly. You've diagnosed and fixed issues with support from the team. You're beginning to understand how inventory, pricing, orders, and internal workflows connect across the business. Within 90 days You're independently owning small to medium projects from discovery through deployment. Business stakeholders are bringing you problems, not just implementation requests. You're making thoughtful technical decisions and explaining your reasoning clearly. You're comfortable debugging production issues across unfamiliar parts of the platform. You've improved the reliability, clarity, or maintainability of systems you inherited. Within six months You're leading larger projects that affect multiple teams or systems. You understand the business well enough to identify better solutions than the original request. You're helping shape technical direction, not just executing known work. You've built or materially improved systems that people across the company rely on every day without thinking about them.

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

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

Job Description Job Description CMM Technician At SLPT, quality is not simply a checkpoint. It is a competitive advantage. As a global leader in advanced automotive components and systems, we are helping redefine the future of mobility through innovation in pumps, valvetrain, transmission, and electric drive technologies. When you join SLPT, you become part of a high-performance team that values technical expertise, continuous improvement, and entrepreneurial thinking. You'll work alongside talented engineers and manufacturing professionals, leverage advanced inspection technologies, and play a direct role in ensuring the quality of products used by leading automotive manufacturers around the world. If you are passionate about precision, problem-solving, and making an impact, we invite you to build your future with us. About SLPT SLPT is a global manufacturer of advanced automotive components and systems serving customers worldwide. Our success is built on speed, responsiveness, flexibility, innovation, and an unwavering commitment to quality. From traditional powertrain technologies to next-generation hybrid and electrified vehicle solutions, SLPT develops products that help drive the future of transportation. Our world-class engineering and manufacturing facilities empower employees to contribute meaningful ideas, solve complex challenges, and create lasting value for our customers. Position Summary SLPT is seeking a detail-oriented and technically skilled CMM Technician to support our manufacturing quality operations. In this role, you will program and operate Coordinate Measuring Machines (CMMs) using PC-DMIS software, perform dimensional inspections, validate product conformance, and develop measurement programs that support customer and production requirements. You will serve as a key contributor to product quality, process improvement, and operational excellence across our manufacturing environment. What You'll Accomplish As a CMM Technician, you will: Ensure production parts consistently meet customer and engineering specifications. Develop and optimize PC-DMIS programs to support new products and quality initiatives. Generate accurate inspection data and reports that drive manufacturing decisions. Support continuous improvement efforts focused on quality, efficiency, and waste reduction. Collaborate with production, engineering, suppliers, and customers to solve quality challenges. Help maintain the high standards that make SLPT a trusted automotive supplier. Key Responsibilities Coordinate Measuring Machine Operations Program and operate Coordinate Measuring Machines (CMM) using PC-DMIS software. Perform dimensional layouts and inspections based on engineering drawings and specifications. Load and fixture components correctly for inspection activities. Execute approved measurement programs and verify inspection accuracy. Prepare and maintain inspection reports, measurement records, and SPC documentation. Record, analyze, and communicate inspection results. Quality Assurance & Compliance Verify continued conformance of manufactured products to customer requirements. Maintain quality records in accordance with company and customer standards. Ensure required laboratory and environmental conditions are monitored and documented. Notify leadership when environmental conditions fall outside established requirements. Disposition inspected parts in accordance with established procedures. Continuous Improvement Participate in kaizen events, waste reduction initiatives, 8D problem-solving activities, and other continuous improvement projects. Support departmental setup activities and provide assistance across manufacturing operations as needed. Collaborate with team members on quality, service, delivery, and cost improvement opportunities. Participate in root cause analysis and corrective action activities. Team Collaboration Partner with production teams, engineering, customers, and suppliers to resolve quality concerns. Support customer visits, plant tours, and quality-related discussions. Contribute to a positive, team-oriented culture focused on operational excellence. Required Qualifications High School Diploma or GED. Experience operating and programming Coordinate Measuring Machines (CMMs). Working knowledge of PC-DMIS 2017R1 programming. Ability to read and interpret engineering drawings and specifications. Basic understanding of Geometric Dimensioning & Tolerancing (GD&T). Ability to read and interpret quality standards, work instructions, maintenance manuals, and procedural documents. Proficiency with Microsoft Office applications, including spreadsheets and word processing software. Strong mathematical and analytical skills. Ability to learn and interpret CMM layout reports and production drawings. Preferred Qualifications Experience within automotive manufacturing environments. Exposure to Statistical Process Control (SPC) methodologies. Experience supporting ISO, IATF, or similar quality management systems. Prior participation in continuous improvement or lean manufacturing initiatives. Core Competencies Successful candidates will demonstrate: Customer Focus Results Orientation Problem Solving & Continuous Improvement Teamwork & Collaboration Adaptability & Self-Direction Timely Decision Making Attention to Detail Quality Mindset Written & Verbal Communication Skills Accountability & Ownership Compensation Competitive compensation offered based on experience, skills, and qualifications. Additional compensation details will be discussed during the interview process. Benefits & Perks SLPT offers a comprehensive benefits package designed to support the well-being of our employees and their families. Benefits may include: Medical, dental, and vision coverage Retirement savings plans Paid time off and holidays Career development opportunities Employee training and advancement programs Employee assistance resources Safe and collaborative work environment Work Environment & Schedule This position is performed in both office and manufacturing environments and may include: Exposure to manufacturing equipment, machinery, and production processes. Regular interaction with production employees and manufacturing leadership. Exposure to industrial noise, temperature variations, oils, lubricants, and manufacturing materials. Occasional travel to customer, supplier, or SLPT facilities. Flexible scheduling, overtime, weekend work, and alternative shifts as business needs require. Physical Requirements The successful candidate must be able to: Stand and walk for extended periods throughout manufacturing facilities. Frequently bend, stoop, kneel, crouch, climb, and reach. Occasionally lift and carry up to 30 pounds. Utilize measuring devices, computer systems, and manufacturing equipment interfaces. Visually inspect products and equipment with close and distance vision, color vision, depth perception, and focus adjustment. Safely work around manufacturing equipment and automation systems. Wear required PPE, including safety glasses, hearing protection, gloves, and steel-toed footwear. Career Growth Opportunities At SLPT, we believe in developing talent from within. This role provides opportunities to expand your expertise in: Advanced metrology and inspection systems Automotive quality systems Quality engineering Manufacturing process improvement Continuous improvement leadership Advanced manufacturing technologies Employees who demonstrate strong technical capability and leadership potential may have opportunities to grow into senior quality, engineering, or manufacturing leadership roles. Diversity, Equity & Inclusion SLW Warren LLC (SLPT) is committed to creating a workplace where all individuals are treated with dignity and respect. We value diversity and believe an inclusive workplace strengthens our organization and supports our mission. SLPT provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind. Employment decisions, including recruitment, hiring, promotion, compensation, training, and development, are based on business needs, job-related qualifications, performance, and individual merit. How to Apply Ready to help shape the future of automotive innovation? Apply today and bring your expertise in quality, precision measurement, and continuous improvement to a company that values your contributions and invests in your success. Join SLPT and help drive the future of mobility. . click apply for full job details

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Senior Emerging Tech (Physical AI, Robotics and Supply Chain) Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives-with a specialized focus on Physical AI, robotics, simulation, and supply chain transformation including warehousing and assembly/production line environments. You'll drive customer success by providing technical expertise and best practices throughout the project lifecycle. You have built a deep solutions implementation and delivery understanding of Physical AI's building blocks-AI for Automation, digital twin, robotics, edge solutions, simulation, and autonomous systems-as well as supply chain technologies. Proficient in architecting and deploying autonomous systems, robotics, simulation, digital twins, and industrial AI workloads on AWS, you'll provide a secure, reliable, and scalable Physical AI infrastructure for innovation by our customers. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: - Architecting and delivering Physical AI solutions on AWS-including digital twin environments, discrete event simulation, robotic policy training pipelines, edge inference, and autonomous system deployments for manufacturing, logistics, and warehousing customers - Engaging with customers end-to-end: from pre-sales discovery and requirements gathering through solution design, implementation, testing, and production handoff - Designing and implementing simulation and synthetic data pipelines using tools such as NVIDIA Omniverse, Isaac Sim, and AWS-native services (SageMaker, IoT, Greengrass, VAMS) to train and validate robotic and autonomous systems - Providing subject matter expertise on warehousing, fulfillment, and production line transformation-conducting on-site assessments, identifying automation opportunities, and building customer trust through demonstrated domain knowledge - Developing packaged offerings, reusable delivery accelerators, reference architectures, and training materials in the supply chain and Physical AI space to support delivery teams and go-to-market motions A day in the life This team partners with our customers to increase their shareholder value and assist in disrupting their business models. We enable our customers to drive competitive advantage by enhancing their digital capabilities that will enable them to innovate on new products and services. Our key focus areas include: Emerging technologies including supply chain innovation, high-performance computing (HPC), quantum computing, spatial computing, robotics, blockchain, IoT, end-user computing, media solutions, and other innovative technologies that represent strategic innovation areas for our customers. About the team You'll join the ProServe Emerging Tech practice, a team focused on helping customers across manufacturing, logistics, and supply chain industries adopt Physical AI, robotics, and simulation technologies on AWS. We work directly with customers to solve real-world automation problems-from warehouse optimization to production line transformation-and you'll collaborate with cross-functional teams including solution architects, data scientists, and partner engineers. Our team values hands-on builders who are curious about the intersection of physical and digital systems, and we're committed to creating an environment where every team member can grow, contribute, and innovate. ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred 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. 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. 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. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and 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. 10046 BASIC QUALIFICATIONS- Bachelor's degree in computer science, engineering, mathematics or equivalent - 5+ years of cloud architecture and solution implementation experience - Experience in a customer-facing role, engaging with customer executives, technologists or partners to solve business problems with advanced technologies - 7+ years of experience building solutions for IoT, robotics, simulation, autonomous systems, or edge computing in industrial or supply chain environments - 3+ years of experience implementing Physical AI or robotics projects including at least one of: digital twin environments, robotic policy training, discrete event simulation, or autonomous vehicle/system deployment PREFERRED QUALIFICATIONS- Experience communicating technical concepts to a non-technical audience - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) - AWS Professional level certification or graduate degree in robotics, engineering, computer science, or related field - Experience architecting Physical AI systems using simulation platforms (NVIDIA Omniverse, Isaac Sim) and AWS services (SageMaker, IoT Greengrass, VAMS) for robotic model training and digital twin deployment - Experience with generative AI and agentic workflows applied to industrial automation, including architecture design, model integration, and synthetic data generation - Familiarity with OpenUSD (Universal Scene Description), computer vision, and robotics safety engineering standards Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental . click apply for full job details

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

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

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

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

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

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