Production Operator And Manual Assembler Positions Jobs

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Core Responsibilities Timely monitor production line status (equipment utilization, WIP level, etc.) and collaborate cross-functionally to achieve optimal production performance (output, cycle time, etc.). Analyze production-related data and dynamically develop and adjust strategies to ensure achievement of production KPIs. Drive continuous improvement initiatives, including workload reduction, lost time minimization, RPT and OI scheduling optimization, and Q-time control enhancement. Establish and optimize process management projects to ensure operational stability and sustainable long-term performance. Lead abnormal issue analysis and drive improvement actions, with the ability to manage multiple tasks concurrently and prioritize effectively against defined timelines. Demonstrate strong data analysis and interpretation capability, along with proven ability in team building, mentoring, and coaching. Production Operations & Execution Lead a team of operators to maintain strong manufacturing discipline and ensure stable daily production operations. Execute production plans based on priorities and adjust dynamically according to real-time shop floor conditions. Monitor hourly output (Hourly Moves) and performance against targets, and take timely corrective actions to close gaps. Make data-driven decisions to ensure achievement of output, cycle time, and overall operational efficiency targets. Cross-f

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. About our Team: Micron’s Industrial and Physical AI team is driving the transformation of semiconductor manufacturing through Autonomous Operations, AI, robotics, and digital twin technologies! We develop and deploy innovative solutions across Micron’s global fabrication and assembly/test facilities, enabling smarter, safer, and more efficient operations at scale. Position Overview: We are seeking a hands-on Full-Stack AI Engineer to design, build, and deploy production-grade AI applications that support Micron's Autonomous Operations initiatives. This role owns the end-to-end development lifecycle, from data pipelines and AI models to APIs, web applications, digital twin integrations, and cloud/edge deployments, delivering impactful solutions for engineers, operators, and business leaders worldwide. Responsibilities: Design, architect, and deliver end-to-end AI products, including data ingestion pipelines, feature engineering, model training/inference, APIs, user interfaces, and application monitoring. Build and maintain modern front-end applications using React, Angular, or Streamlit, supported by backend services in Python and FastAPI. Develop scalable integrations between manufacturing systems, robotics platforms, AMRs, sensor networks, and enterprise applications to enable intelligent factory operations. Design and implement digital twin environments using platforms such as NVIDIA Omniverse, Gazebo, or Unity Robotics Hub to support simulation, validation, and o

The goal of a Staff Machine Learning Engineer at Scale is to lead the design and deployment of agentic AI systems that operate in real-world, mission-critical government environments. On the Public Sector team, you’ll work at the intersection of agentic ML, systems engineering, and applied research, building foundational infrastructure that enables AI systems to reason, plan, and act reliably at national scale. Our Public Sector ML Team partners directly with U.S. defense and intelligence agencies to deploy AI into classified and regulated environments. Through flagship programs like Donovan and Thunderforge , we are advancing the next generation of agentic AI for geospatial reasoning, planning, and decision support. Staff Machine Learning Engineers play a central role in setting technical direction, owning core architectures, and translating ambitious ideas into production systems trusted by government operators. You will: Lead the architecture and implementation of agentic AI systems, with a focus on long-horizon reasoning, orchestration, and system-level reliability. Build and scale agents that perform complex geospatial reasoning, including interpreting, generating, and reasoning over maps and spatial data. Design and improve retrieval systems across large collections of static and semi-structured documents, enabling agents to surface high-signal context efficiently. Fine-tune and evaluate embedding models to improve recall and precision for mission-critical datasets. Design memory systems that allow agents to persist state, operate over long contexts, and learn from prior interactions. Own and evolve shared agentic infrastructure and core libraries, enabling reuse across teams, products, and Public Sector contracts. Define evaluation strategies for agentic systems, including robustness testing, failure-mode analysis, and regression testing in production environments. Partner closely with engineering managers, product leaders, and researchers to scope high-impac

About the Team OpenAI’s Stargate and 3P Engineering teams are responsible for building and scaling the external infrastructure ecosystem that powers advanced AI systems. We work across hyperscalers, colocation providers, cloud partners, and strategic third-party operators to turn contracted capacity into production-ready compute. Our scope spans the full lifecycle of external deployments: commercial alignment, technical readiness, network integration, hardware enablement, operational readiness, and long-range scaling strategy. As OpenAI’s infrastructure footprint expands globally, we need leaders who can convert complex partner environments into reliable, high-velocity capacity for training and inference workloads. About the Role We are seeking a Technical Program Manager, Token-as-a-Service (TaaS) to lead delivery of external compute capacity that directly serves OpenAI model workloads. In this role, you will own complex cross-functional programs that transform third-party infrastructure into usable tokens at scale. You will partner across engineering, capacity planning, networking, hardware, finance, product, and external providers to ensure that deployed capacity translates into real production throughput. This role sits at the intersection of infrastructure execution, systems readiness, and business impact. Success requires strong technical fluency, elite program management, and the ability to drive accountability across internal teams and external partners. This is a high-visibility role with direct impact on OpenAI’s ability to scale model training and inference globally. This role is based in San Francisco, CA, with a hybrid work model of 3 days in office per week. Relocation assistance is available. Key Responsibilities Lead end-to-end delivery programs that convert external infrastructure capacity into production-ready token supply. Own readiness across compute, storage, networking, security, and operational dependencies for third-party environments. Build

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By connecting the right data to the people who need it, our platforms empower our partners to revitalize American industrial production, develop lifesaving drugs, protect our Warfighters, and more. The Role Palantir's Mixed Reality Group (MRG) is a Tier 1 team of researchers, 3D artists, immersive UX designers, and cross-discipline engineers to bring the most exquisite software of our time to the factory floor, the battlefield, and the briefing room. You will collaborate with customers, operators, MR designers, and MR developers to deliver force-multiplying apps that exceed tomorrow’s requirements today. The Original Forward Deployed Software Engineer At Palantir, the Forward Deployed Software Engineer (FDSE) role isn’t just a job title: it’s the blueprint. We pioneered this unique position, embedding talented engineers directly with our customers to tackle their most pressing challenges head-on. As an FDSE, you’ll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most. FDSEs work side by side with our customers, rapidly understanding their toughest issues; architecting and building solutions that leverage business-critical data and the latest advancements in AI to solve them. Whether it’s “How do we predict and mitigate wildfire risks to optimize power grids?” or “How can we analyze and adapt a global food supply chain to deliver life-saving aid on time?”, you’ll use your technical expertise, creativity, and problem-solving skills to drive real-world impact. You’ll have the rare opportunity to gain deep insight into and directly influence some of the world’s most critical industries and institutions. By building on Palantir’s powerful platforms leveraging integrated cutting-edge AI, you’ll help organizations unlock the full potential of their data to make smarter, faster decisions

What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 5M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Title: Staff Platform Engineer Reports to: Engineering Manager Location: Remote US Compensation Range: $200,000 to $220,000 base plus bonus and equity What You'll Do : Huntress is expanding our Platform Engineering team and looking for a Staff Platform Engineer who brings unshakeable resilience to complex infrastructure challenges. In this role, you will build, monitor, and scale the core cloud infrastructure supporting our security platform. You will step up to own platform infrastructure resilience and tackle complex problems across multi-region environments. Variety is built into this role: one week you might author custom Kubernetes admission controllers, and the next you are tackling multi-region capacity failover automation or tracking down obscure memory leaks in production pods. AI coding agents are part of how this team works, and you will be expected to use

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Software Engineer - Cloud Streaming Game Services (Contractor) Aliso Viejo, CA As a part of Sony Interactive Entertainment, the Game Development & Future Technology (GDFT) organization is leading the cloud gaming and development revolution, putting console-quality video games on any device! As a Senior Software Engineer on the Cloud Streaming Game Services (CSGS) team, you’ll play a key role in the design and development of server-side applications on a large geographically distributed infrastructure. Responsibilities Design, develop, and maintain software powering the globally distributed PlayStation Cloud Streaming infrastructure Build Kubernetes controllers, operators, and system services powering infrastructure lifecycle management and orchestration Own features from design through implementation, testing, deployment, and production support Develop high-quality, maintainable code with comprehensive unit and integration testing Partner with SRE, Test and Platform Engineering to deliver reliable production services Investigate and resolve production issues with a focus on reliability and performance Contribute to architecture discussions, technical design documents, and engineering standards Effectively communicate technical approaches, project status

About the team The mission of the Applied AI Engineering team is to enable the secure and impactful implementation of GenAI solutions. We serve as technical thought partners and trusted advisors to our clients, ideating high-value use cases and providing the hands-on guidance necessary to drive projects into production. In this role within the Government team, you will empower agencies to evolve their operations through automated content synthesis, advanced search capabilities, and bespoke applications leveraging our latest foundational technologies and models. About the Role We are looking for a hands-on Applied AI Engineer with deep cybersecurity experience and a product mindset to help government and national security customers apply frontier AI to critical cyber missions. You will bring practical expertise in areas such as red teaming, vulnerability research, reverse engineering, threat hunting, and similar fields , ideally developed through work with the defense and intelligence sector. Working directly with cyber operators, security researchers, and engineering teams, you’ll identify high-value applications, write code, build and evaluate AI-powered tools and agentic workflows, and move solutions from prototype into secure operational use. You’ll design architectures using OpenAI models, APIs, and existing security tooling, grounded in customers’ mission requirements and operational constraints. You will collaborate closely with Sales, Solutions Engineering, Applied Research, Product, and Security teams to deliver measurable improvements in cyber capabilities and translate customer experience into better models and products. This role requires frequent on-site engagement at customer and partner facilities across the DMV area, including classified environments. In this role, you will: Work on-site with our clients in the DMV area Own hands-on implementation for government cyber use cases, working alongside account-aligned technical owners, customer engineers, c

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity As a Software Engineer within the Container Fabric (CF) organization, you will be a key driver in evolving New Relic’s global internal platform. We are looking for an operations-heavy engineer with a proven track record of building and scaling resilient infrastructure. What you'll do Platform Orchestration: Work on a large-scale K8s infrastructure platform, ensuring high availability and performance. Automation: Drive the evolution of internal tooling to streamline platform delivery. This role requires Experience: Solid hands-on background in DevOps, Site Reliability, or Infrastructure Engineering. Kubernetes Mastery: Deep internal knowledge of K8s primitives (Deployments, StatefulSets, Services) and hands-on experience writing custom Kubernetes Operators. Golang Proficiency: Proficiency in Go, specifically for infrastructure automation and systems programming. Operations-Heavy Mindset: A proven track record of managing production environments and handling high-severity incidents. Cloud Infrastructure: Hands-on experience with cloud-native scaling tools (e.g., Karpenter, Cluster API) and Day 1/Day 2 operations of K8s clusters. Tooling: Familiarity with Helm and GitOps workflows (e.g., ArgoCD or Flux). Please note that visa sponsorship is not available for this position. Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day. We cele

About the team OpenAI’s Forward Deployed Engineering team partners with healthcare organizations to deploy production AI systems across clinical, operational, and member-facing workflows. We work at the boundary of customer deployment and core platform development, using customer engagements to define repeatable architectures, evaluations, integrations, and operating standards for complex, regulated healthcare environments. About the role We are hiring a Forward Deployed Engineer (FDE) to own end-to-end deployments of our models within healthcare organizations, including payers, providers, health systems, and healthcare technology companies. You will lead technical discovery, architecture, implementation, evaluation, productionization, and handoff, translating complex customer workflows, data, infrastructure, and regulatory constraints into production AI systems. You will measure success through production adoption, measurable workflow impact, and evaluation loops that establish customer-specific benchmarks, acceptance criteria, and launch readiness. You’ll collaborate directly with customer technical and operational teams, alongside internal Business, Research, Product, Engineering, and Security partners, to deliver solutions and translate deployment learnings into product improvements. This role owns the technical solution; ownership of the commercial or executive relationship is not required. This role is based New York City. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own the technical solution end to end, from customer discovery and workflow scoping through architecture, hands-on implementation, evaluation, production deployment, adoption, and handoff. Partner credibly with customer engineers, operators, and domain experts to frame ambiguous problems, define scope, and translate payer, provider, or health-system workflows into technical requirements and measurab

About the team OpenAI’s Forward Deployed Engineering team partners with healthcare organizations to deploy production AI systems across clinical, operational, and member-facing workflows. We work at the boundary of customer deployment and core platform development, using customer engagements to define repeatable architectures, evaluations, integrations, and operating standards for complex, regulated healthcare environments. About the role We are hiring a Forward Deployed Engineer (FDE) to own end-to-end deployments of our models within healthcare organizations, including payers, providers, health systems, and healthcare technology companies. You will lead technical discovery, architecture, implementation, evaluation, productionization, and handoff, translating complex customer workflows, data, infrastructure, and regulatory constraints into production AI systems. You will measure success through production adoption, measurable workflow impact, and evaluation loops that establish customer-specific benchmarks, acceptance criteria, and launch readiness. You’ll collaborate directly with customer technical and operational teams, alongside internal Business, Research, Product, Engineering, and Security partners, to deliver solutions and translate deployment learnings into product improvements. This role owns the technical solution; ownership of the commercial or executive relationship is not required. This role is based in Seattle. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own the technical solution end to end, from customer discovery and workflow scoping through architecture, hands-on implementation, evaluation, production deployment, adoption, and handoff. Partner credibly with customer engineers, operators, and domain experts to frame ambiguous problems, define scope, and translate payer, provider, or health-system workflows into technical requirements and measurable

About the Team OpenAI’s Forward Deployed Engineering team partners with healthcare organizations to deploy production AI systems across clinical, operational, and member-facing workflows. We work at the boundary of customer deployment and core platform development, using customer engagements to define repeatable architectures, evaluations, integrations, and operating standards for complex, regulated healthcare environments. About the Role We are hiring a Forward Deployed Engineer (FDE) to own end-to-end deployments of our models within healthcare organizations, including payers, providers, health systems, and healthcare technology companies. You will lead technical discovery, architecture, implementation, evaluation, productionization, and handoff, translating complex customer workflows, data, infrastructure, and regulatory constraints into production AI systems. You will measure success through production adoption, measurable workflow impact, and evaluation loops that establish customer-specific benchmarks, acceptance criteria, and launch readiness. You’ll collaborate directly with customer technical and operational teams, alongside internal Business, Research, Product, Engineering, and Security partners, to deliver solutions and translate deployment learnings into product improvements. This role owns the technical solution; ownership of the commercial or executive relationship is not required. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role, you will: Own the technical solution end to end, from customer discovery and workflow scoping through architecture, hands-on implementation, evaluation, production deployment, adoption, and handoff. Partner credibly with customer engineers, operators, and domain experts to frame ambiguous problems, define scope, and translate payer, provider, or health-system workflows into technical requirements and mea

Who are we? FalconX is a pioneering team of operators, investors, and builders committed to revolutionizing institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX addresses the industry's foremost challenges: Navigating the digital asset market can be complex and fragmented, with limited products and services that support trading strategies, structures, and liquidity found in conventional financial markets. As a comprehensive solution for all digital asset strategies from start to scale, FalconX operates as the connective tissue empowering clients with seamless navigation through the ever- evolving cryptocurrency landscape. Responsibilities Build, scale, and optimize core low-latency trading platforms. Architect AWS and hybrid cloud infrastructure for microsecond execution using kernel tuning (isolcpus), AWS Placement Groups, and enhanced networking (ENA/ENI). Design and maintain release pipelines for core trading engines (OMS, EMS, Gateways), ensuring zero-downtime deployments and deterministic rollbacks. Collaborate across teams to enhance platform reliability, performance, scalability, and security. Provision high-throughput messaging paths (Aeron, FIX gateways) to support venue expansions for market making and regional growth. Drive infrastructure automation, network topology design, and OS configurations using Terraform and Ansible. Build real-time telemetry pipelines using Grafana Cloud, Alloy, and Prometheus to detect latency spikes and system issues. Drive continuous platform efficiency, reduce tick-to-trade latency, and accelerate deployment cycles. Practice sustainable incident response, reduce MTTR, establish error budgets, and conduct blameless postmortems. Share on-call rotation duties and serve as a primary escalation point for production incidents. Enforce security best practices across all trading infrastructure to minimize attack surfaces and guarantee data integrity. Min

Role Description: As a Team Lead at Defense Unicorns, you will serve as the technical backbone of our hackathon program: setting the architecture, integration patterns, and technical guardrails every event runs on. You'll work across the team to design, plan, and execute large-scale, community-facing hackathon events throughout the year, moving fluidly between technical strategy and energizing a room full of mission heroes, operators, and builders. You'll evaluate and integrate the right mix of partner technologies (cloud providers, Defense Unicorns' own platform and tooling, and the broader defense vendor ecosystem) into a durable reference architecture that works within controlled environments. You'll serve as a credible technical voice with government stakeholders and industry partners, ensuring every hackathon is built on a foundation that sets participants up to succeed and produces outcomes that can transition to production. Responsibilities Technical Direction and Architecture Set and own the overall technical direction for each hackathon, ensuring solutions are grounded in UDS and Defense Unicorns' platform and tooling philosophy Evaluate and integrate partner technologies and third-party tools to ensure broad compatibility across the diverse technology stacks participants bring Define technical guardrails, reference architectures, and integration patterns that guide participant teams toward durable, deployable outcomes Identify technical risks early and develop mitigation strategies in partnership with the Mission Manager Stakeholder Engagement Serve as a technical voice in external engagements with government mission heroes, industry partners, and hackathon participants Translate complex technical capabilities into compelling narratives that communicate mission impact and drive stakeholder buy-in Build enthusiasm and credibility with a wide range of audiences, from senior government decision-makers to individual contributors on participant tea

Join the MongoDB Server Query Execution team, and help us build a world-class distributed open-source database. Our team plays a crucial role in the performance and efficiency of MongoDB's data processing. We are responsible for building and improving the core execution engine that powers all queries, taking a logical query plan produced by the optimizer and turning it into reality. This includes developing the physical operators for data retrieval and manipulation, improving the runtime for complex analytical and transactional workloads, and owning critical components such as our new execution engine. In addition to the core server, we support the query execution needs of other major products like Atlas Streams, Atlas Search and Vector Search, and mongosync, making our work vital to the entire MongoDB ecosystem. You will be joining a globally distributed team with a significant presence in both North America and Europe. While this role is based in the NAMER region, you will regularly collaborate closely with colleagues across different time zones. We support both office-based work in our North America hubs like New York, as well as remote work. We have tons of interesting problems to solve with a direct impact on users for transactional, time-series, and analytical workloads. To meet the ever-increasing data demands of modern applications, we are actively evolving our query system; this includes strategically re-architecting and improving key components of our query execution engine. We need your help to design and build the core of a distributed, flexible schema document database. This role can be based out of one of our North America offices, such as NYC or Palo Alto, or remotely across North America. Candidate Profile 10+ years of hands-on, professional experience in query engine development or database internals Experience with building production-level code with a large user base, robust design structure and rigorous code quality Degree in Computer Science or