Production Operator in United States

Build the infrastructure that keeps every NVIDIA chip aligned from first spec to final shipment. NVIDIA's Silicon Co-Design Group sits at the convergence of architecture, silicon, systems, and manufacturing. The System–Manufacturing Architecture (SMAC) team coordinates between system specifications and manufacturing test specifications from pre-silicon POR through production release across GPU, SoC, and CPU programs. When that alignment drifts, silicon faces the consequences: escapes, yield loss, and performance loss. We're hiring a Senior Manufacturing & System Co-Design Workflow Engineer to lead the methodology and infrastructure that maintains holistic, systematic alignment, at scale across the full portfolio. The strongest candidates in this role design the workflow before being asked to fix a program, and build the checks and automation that confirm alignment holds long after they've moved on to the next problem. What you’ll be doing: SMAC Workflow Methodology: Define manufacturing spec types, including schema and semantics, derived from system PORs and features. Own the methodology that governs how specification work gets structured, versioned, and validated across the program lifecycle. Production Python Pipelines & Automated Checks: Develop production-grade Python pipelines and automated checks that catch specification drift between system POR and manufacturing test programs ,ATE, SLT, BLT, L10+, before silicon exposes the discrepancy. The goal is that misalignments surface in the workflow, not on the tester. E2E Program Integration & TPM Attestation: Wire SMAC work into the end-to-end program spine, milestones, gates, and artifacts, and define explicit TPM-driven attestation when checks lag. Alignment can't be assumed; it must be proven at every stage. Agent-Ready Tooling & CI Infrastructure: Integrate tooling into an agent-ready

NVIDIA has been redefining computer graphics, desktop gaming, and enhanced computing capabilities for more than 25 years. Today, we are tapping into the unlimited potential of AI to define the next era of computing. As a NVIDIAN, you will work on problems that sit at the boundary of architecture, silicon, firmware, software, and production, where strong judgment matters as much as technical depth. We're the Silicon Design for Productization (DFP) Team, within the broader Silicon Co-Design Group, and we turn power and thermal design into executable productization methodology. Power and thermal are among the most complicated problems we work on at NVIDIA because they sit at the intersection of architecture, workload behavior, silicon variation, firmware policy, platform constraints, and product goals. Small decisions here have an outsized impact on performance, efficiency, reliability, bring-up speed, and ultimately what the product can deliver in the field. We define how features move from concepts to bring-up, characterization, validation, and release. In this role, you will help us build that bridge. We're looking for an engineer who reasons from first principles, flourishes with ownership in a fast-paced environment, and uses AI with sound judgment. What you’ll be doing: Lead the effort across multi-functional teams to keep the program’s power and thermal productization strategy clear, executable, and on track. Create methodology and silicon test plan based controller designs and architecture, including characterization process, debug tools, fuse/firmware settings and lab requirements. Drive resolution for challenging silicon issues through structured hypotheses, measurement plans, and root-cause closure. Steward the Power and Thermal playbook when the existing productization methodology

We anticipate the application window for this opening will close on - 5 Oct 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72&#43; million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life Are you passionate about driving innovation and improving manufacturing processes? Medtronic is seeking a Senior Manufacturing Engineer to join our team at our Warsaw, Indiana manufacturing site. In this role, you’ll play a critical part in optimizing production, ensuring quality, and advancing our mission to improve lives. As a Senior Manufacturing Engineer, you’ll lead key initiatives to enhance manufacturing efficiency, implement Lean principles, and collaborate with cross-functional teams to solve complex challenges. You’ll also have the opportunity to work on cutting-edge technologies and processes while contributing to the production of life-saving medical devices. At Medtronic, we bring bold ideas forward with speed and decisiveness to put patients first in everything we do. In-person exchanges are invaluable to our work. We’re working a minimum of 5 days a week onsite as part of our commitment to fostering a culture of professional growth and cross-functional collaboration as we work together to engineer the extraordinary. Responsibilities may include the following and other duties may be assigned. Responsible for the development of machining, metal finishing, and assembly methods for assigned product lines. <l

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We are hiring at a rapid rate, and every one of our new hires deserves a great new hire experience from the moment they sign their offer letter through their entire onboarding journey. As our People Operations Coordinator, you'll own the tactical side of onboarding: collecting and tracking the completion of required documentation, greeting new hires, assisting in running sessions, and keeping the operations of onboarding on track as we grow. The role is heavily onboarding-focused today and will broaden across the employee lifecycle as our new people systems take over more of the routine work. Things change quickly here, and this role will too. This role is based in our San Francisco office. RESPONSIBILITIES Own the full onboarding experience for every new hire, including: new hire communication from offer signature through Day 1; ensuring completion of onboarding tasks like background checks, Form I-9s, setting up HRIS profiles, etc; coordinating travel logistics; partnering with the Global Mobility Manager on immigration matters that may affect start dates Support day one and San Francisco week one onboarding program, including coordinating with managers and buddies, room booking and coordination of start location Partner with IT and Workplace so new hires have the right access, equipment, and desk waiting on day one Manage the logistics behind our onboarding platform and manage the day-to-day vendor relationsh

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re looking for a Corporate Accounting Manager to support the general ledger, the close, and our accounting processes and controls as Baseten scales. This is a hands-on, individual-contributor role for someone who wants full ownership of the core accounting function at a company where the entity structure, transaction volume, and reporting requirements are growing quickly. You’ll join the corporate accounting team and take on the general ledger, vendor contract review, the close calendar, and our internal control environment as the business grows. We are focused on tightening close procedures, strengthening controls, and building reporting rigor to support the scale ahead. You’ll partner closely with FP&A, Data, and cross-functional partners to make sure the books close on time and accurately every cycle. Baseten is building the infrastructure layer for AI-native companies, and we're scaling quickly - in headcount, entity structure, transaction volume, and contract complexity and volume and vendor size. If you want real ownership over a growing function on a lean team, this role offers real scope. RESPONSIBILITIES General Ledger and Financial Reporting Own day-to-day execution of general ledger journal entries, account reconciliations, and monthly financial statement preparation as the entity structure grows Own recurring close areas, including accruals, prepaids, fixed assets, and equity compensation Lead

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We are bringing our people systems in-house on Workday, and we are hiring our first dedicated Workday Analyst to make it excellent. You will join while the implementation is underway, ramp alongside our deployment partner, and own the tenant from go-live onward. This is a hands-on configuration role: you will build business processes, manage security, load data, and test releases yourself, and you will teach others on the People team to do the same as we grow. If you want to shape a Workday environment from its first day in production instead of inheriting years of someone else's decisions, this is that rare opening. RESPONSIBILITIES Own day-to-day Workday configuration: business processes, security groups and roles, custom reports, calculated fields, and tenant settings Build and run EIB loads for data changes, mass updates, and audits Own the twice-yearly Workday release cycle: evaluate new features, regression-test, and roll out changes safely Shadow the implementation build, then take over tenant ownership at go-live Monitor integrations and triage issues with our IT team and vendors Support payroll configuration in partnership with our Accounting team and payroll services provider Field and resolve system requests from employees, managers, and the People team Mentor teammates so Workday administration becomes a team capability, not a single point of failure REQUIREMENTS 4+ years administering a live Workday

Job Details: Job Description: About the Role Join Intel's Client Computing and Physical AI Group and help enable the next generation of mobile and desktop client platforms. We are seeking a Senior Customer Solutions Engineer to serve as a key technical leader responsible for customer platform enablement, architecture collaboration, and execution across Intel's client platform ecosystem. In this role, you will work closely with OEM customers, engineering teams, and program stakeholders to drive the successful delivery of innovative platform technologies. You will play a critical role in platform planning, issue resolution, customer engagement, and cross-functional execution from product definition through product launch and production. What You’ll Do Key responsibilities will include but not limited to: Serve as the primary technical interface between customers and Intel engineering teams, driving platform enablement and customer success. Lead cross-functional execution across platform technologies including hardware, firmware, graphics, connectivity, and I/O technologies. Drive resolution of critical platform issues, customer escalations, and technical challenges throughout the product lifecycle. Represent customer readiness, platform health, and execution status in program reviews and leadership forums. Develop technical assessments, customer enablement plans, and supporting documentation to accelerate design wins and product launches. Drive technical program execution across customer and engineering teams by aligning milestones, dependencies, risks, priorities, and deliverables. Behavioral traits that we are looking for: Strong customer focus and the ability to build trusted partners

Job Details: Job Description: The Role and Impact As a Module Engineer, you will play a pivotal role in enabling Intel's cutting-edge manufacturing processes by ensuring the seamless operation and optimization of critical high-volume equipment. Your day-to-day responsibilities will focus on conducting tests, measurements, and maintenance activities to ensure the equipment meets stringent safety, quality, and efficiency standards. By driving process improvements and collaborating with global teams, you will contribute to the successful production of advanced integrated circuits and help shape technological innovation in the semiconductor industry. Business Group You will be part of Intel's Manufacturing and Operations organization, which is central to Intel's mission of creating world-changing technology. The group specializes in scaling advanced manufacturing techniques, ensuring high product quality, and delivering cost-effective solutions that support Intel's growth. Through its close collaboration with global teams, this organization fosters technological innovation and operational excellence across Intel's manufacturing sites worldwide. Key Responsibilities - Conduct equipment tests and measurements to ensure control over critical dimensions, registration and defectivity of the production line. - Recommend and implement modifications to improve production efficiency, manufacturing techniques, and output quality. - Own and execute maintenance and repair activities for manufacturing equipment, ensuring minimal downtime. - Lead continuous improvement initiatives for safety, quality, cost, productivity, defects, and yield metrics. - Collaborate with equipment suppliers to enhance manufacturing tools and processes. - Develop and optimize systems for preventing excursions and detecting process or equipment discrepancies. - Participate in technology transfers t

Job Details: Job Description: Note: This role requires regular onsite presence to perform essential job responsibilities. This position drives technology development and enablement for both high-volume manufacturing and future process technologies. Responsibilities include providing process integration and equipment solutions, conducting feasibility studies to meet device performance requirements, and leading the design and development of advanced manufacturing processes. The role involves material selection, parameter optimization, metrology, equipment engineering, and system design to enable new product architectures and functional requirements. The successful candidate will lead pathfinding activities that support process and hardware development for next-generation manufacturing technologies and will contribute to technology roadmaps that enable future product innovation. The role also includes identifying and implementing equipment and process improvements to enhance manufacturing efficiency, optimize production output, and improve operational performance. Qualifications: Minimum Qualifications Master's degree in Electrical Engineering, Mechanical Engineering, Chemical Engineering, Materials Science, or a related STEM field, with 6&#43; years of semiconductor industry experience , primarily in dry etch process development. Bachelor's degree in Electrical Engineering, Mechanical Engineering, Chemical Engineering, Materials Science, or a related STEM field, with 9&#43; years of semiconductor industry experience , primarily in dry etch process development. 3&#43; years of experience collaborating with equipment suppliers (e.g., Lam Research, TEL, Applied Materials, Hit

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. At Micron-Boise, ID, we are undergoing a historic $15 billion investment in semiconductor manufacturing; construction began in early 2023, with DRAM production slated for the second half of the decade. As a leader in the semiconductor industry, we build solutions that inspire and transform technology. With plans to invest more than $150 billion globally over the next decade in leading-edge manufacturing, we are looking for passionate people to join our Boise expansion team and contribute to the growth and innovation of the semiconductor industry. As a Senior CVD/PVD (Chemical Vapor Deposition/ Physical Vapor Deposition) Process Engineer you will be primarily responsible for starting up, developing, and optimizing processes to improve product quality, driving process yield improvements, cost reduction, productivity improvement and risk management as well as resolving manufacturing line problems. Your expertise will give to the production of high-quality semiconductor components that are pivotal to our customers' success. You will work closely with multi-functional teams to tackle process issues and implement solutions that improve efficiency and yield. Your passion for engineering and willingness to learn will help us overcome the challenges of this fast-paced industry. We are looking for someone who enjoys hands-on work, values collaboration, and is eager to dive deep into the technical aspects of semiconductor manufacturing. Responsibilities Process area knowledge DRAM development and

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you'll be working on Modal's machines layer: the fleet of bare metal and cloud hosts that every Function, Sandbox, and training job runs on, and the control plane that provisions, images, monitors, and repairs them. You'll automate the integration of new capacity from a growing set of hardware providers; from auditing and benchmarking hosts and clusters, to maintaining our machine images, configuring GPUs, RDMA, networking, and storage, and getting machines into production. You'll build the automation that keeps the fleet healthy without human intervention: detecting bad GPUs, thermals, and disks. You'll dig into whatever is between the hardware and the software that runs on

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you'll be working on the distributed object storage system that underpins every container image, volume, and checkpoint on Modal: hundreds of petabytes of data, replicated across multiple cloud object stores and a CDN, cached on local NVMe across a large fleet of workers in many datacenters, and shared peer-to-peer within each datacenter. You'll make cold starts feel local when the data is hundreds of milliseconds away, designing the caching, preloading, and peer-to-peer layers that hide object-store latency and keep public ingress off saturated uplinks. You'll own durability and cost at petabyte scale, from streaming and batch replication between origins, to garbage collecti

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for a strong technical lead to guide the engineers designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. You'll lead the team responsible for Modal's machines layer: the fleet of bare metal and cloud hosts that every Function, Sandbox, and training job runs on, and the control plane that provisions, images, monitors, and repairs them. You'll own the full lifecycle of a machine, from accepting and benchmarking new hardware from a growing set of providers, to network bring-up, kernel and image management, GPU and disk health tracking, and automated remediation of unhealthy hosts. You'll manage a team of 3–8 engineers while staying hands-on across the stack which involves BMCs, firmware, PXE, bootloaders, Linux networking, drivers, and distributed control-plane services, and you'll shape our long-

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for a strong technical lead to guide the engineers designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. You'll lead the team responsible for the distributed object storage system that underpins every container image, volume, and checkpoint on Modal: hundreds of petabytes of data, replicated across multiple cloud object stores and a CDN, cached on local NVMe across a large fleet of workers in many datacenters, and shared peer-to-peer within each datacenter. You'll set technical direction for the primitives that other teams (filesystems, training, sandboxes) build on, balancing durability, latency, throughput, and cost. You'll own the roadmap from today's hardest problems (garbage collection at petabyte scale, active-active replication, rate limiting that protects the upstream without wasting ut

Procurement Multi-fam Manager (Supply Management & Procurement Multi-Family) Company: The Boeing Company Boeing Defense, Space & Security (BDS) has an exciting opportunity for a Procurement Multi-Family Manager (Level K) to join our dynamic team in Tukwila, Washington or Oklahoma City, Oklahoma . Manage, lead and grow a team of 15 Air Vehicle E-7 Supplier Performance employees. The team consists of Supplier Program Managers and Supply Base Managers with personnel located in Oklahoma City, Seattle, and virtual. The ideal candidate will have the ability to motivate and lead this team to ensure system design and development, part build and delivery, as well as product sustainment for the supply base associated with the E-7 platform. There will also be a heavy need for understanding emergent support of an aircraft production facility. Setting the right expectations and building the optimal team are the basic needs to make this position successful. Position Responsibilities: Acts as an authorized agent of the company with responsibility for managing all supplier related activities and the authority to commit company resources through contracts and agreements. Manages employees from multiple Supplier Management and Procurement disciplines performing activities related to the acquisition of goods and services in support of company operations, supplier assessment and performance improvement, management and improvement of supply chain management and processes and supplier diversity. Develops and executes project and process plans, implements policies and procedures and sets operational goals. Acquires resources for projects and processes, provides technical management of suppliers and leads process improvements.</li