Production Operations Engineer Jobs

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We’re looking for a Forward Deployed Engineer to own the technical outcome of the AI Hardware systems we build with our customers. You will work alongside customer engineering and operations teams to make complete systems work in production or near-production environments. This engineering role spans hardware and software integration, deployment, validation, automation, debugging, and ongoing operations. You will contribute to customer deployments, establish reliable operating procedures, and drive customer systems through resolution until they work as intended. This role is Hybrid, based out of Tokyo, Japan. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You take ownership of customer outcomes in deployed environments through integration, validation, production readiness, and operations. You understand how accelerator compute, memory, and networking topology constrain AI workloads, and don’t treat hardware as a black box. You work directly with customer engineering and operations teams to understand their environment, constraints, and desired outcomes. You’re comfortable debugging across the inference stack, from failing requests, kernel di

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for a product manufacturing engineer, who will be responsible for driving technical initiatives related to manufacturing to ensure product success from concept to launch and through mass production with a specific focus on PCB and PCBa manufacturing and process. You’ll have the opportunity to work with a wide range of stakeholders, from design engineering and operations teams,TPMs, external industry vendors and partners to ensure that all products are developed and delivered on time and to the highest quality standards. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: In this role, you’ll be responsible for driving manufacturing and quality initiatives to ensure product success from concept to launch Lead the product design and the manufacturing process for next-gen AI hardware system development, you will have the opportunity to work with a wide range of stakeholders, from design engineering and operations teams, TPMs and external industry vendors and partners to ensure that all products are developed and delivered on time and to the highest quality standards. Lead the team to establish NPI product manufacturing process, systems and quality controls, defining clear milestones and deliverables, drive internal process improvements across multiple terms and functions Provide hands-on product manufacturing analysis during desi

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is seeking a Lead Material Flow Engineer to develop our internal logistics network to support consistent, on-time delivery of raw materials and WIP enabling high-rate production across Mach’s factories In this role, you will design and scale end-to-end material flow across multiple product lines and manufacturing sites. This role leads the development of safe, efficient, and traceable processes that move parts and assemblies from suppliers and warehouses to production points of use. Working with Supply Chain, Manufacturing, Production Control, Quality, Engineering, Facilities, and site leadership, you will prepare for next year's production ramp, deliver site-ready solutions, and establish standards that can be deployed consistently across Mach’s enterprise. Key Responsibilities Lead material-flow strategy and implementation for production growth across multiple product lines and sites, from concept and capacity planning through launch, stabilization, and handoff of a fully detailed production plan to Operations. Map current and future-state value streams, and build discrete event simulation models to test flow, routing, staging, and capacity decisions before committing capital. Develop project plans, budgets, risk assessments, a

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: The customer success team includes support, customer operations and solutions engineering. Responsible for generating value for our customers by ensuring clients are using InfoSum to its full potential, have the necessary support and regularly feedback client use cases internally. The Solutions Engineer will play a crucial role in designing, implementing, and supporting technical solutions that address our customers' needs and drive business growth. Working closely with cross-functional teams, including sales, product management, and software development, the Solutions Engineer will leverage their technical expertise to understand customer requirements, develop customized solutions, and ensure successful implementation and integration. What you'll be doing: Collaborate with sales and product management teams to understand customer requirements and business objectives. Design customized technical solutions that meet customer needs and align with company capabilities and product off erings. Develop solution architectures, diagrams, and technical documentation to communicate design spec

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for a product manufacturing & quality engineer, who will be responsible for driving technical initiatives related to the manufacturing, quality and reliability of our AI supercomputer hardware systems to ensure product success from concept to launch and through mass production. You’ll have the opportunity to coordinate with functional SMEs and work with a wide range of stakeholders, from design engineering and operations teams, TPMs, external industry vendors and partners to ensure that all products are developed and delivered on time and to the highest quality standards. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: Own the integrated manufacturing and quality readiness for a product across L6, L10, and L11, with clear gates, milestones, deliverables, owners, and closure criteria. Lead readiness of process flows, tooling, fixtures, assembly operations, test interfaces, and production controls. Review and contribute to work instructions. Translate product requirements into qualification plans, process controls, test requirements and acceptance criteria with design engineering and Area SMEs Coordinate and drive execution of product and process qualification, reliability testing, and validation with the relevant SMEs. Maintain traceable evidence that assigned products and processes meet agreed performance, reliability,

We are seeking a Senior Software Engineer with strong infrastructure expertise to design, build, and operate the next generation of our enterprise Observability, Automation, and AI-driven Reliability Platform. This role will build highly scalable distributed systems and platform services spanning Storage, Compute, Network, VMware, OpenShift, and bare-metal infrastructure. The engineer will help transform infrastructure operations from reactive monitoring and manual remediation to proactive, predictive, and AI-driven autonomous operations. What You Will Be Doing: Design, build, and operate distributed software platforms for enterprise observability, telemetry, automation, and infrastructure reliability at large scale. Develop reusable platform services, APIs, automation frameworks, and control planes that enable self-service, reduce operational toil, and automate infrastructure operations across multiple engineering teams. Build scalable telemetry and event-processing systems spanning metrics, logs, traces, events, topology, and alerts, with the performance and efficiency to process billions of infrastructure signals. Build intelligent and AI-native reliability capabilities, including agentic workflows for anomaly detection, forecasting, root-cause analysis, automated debugging, and closed-loop remediation. Drive technical architecture and engineering direction across Storage, Compute, Network, and Platform domains, solving complex and ambiguous problems that span multiple teams. Engineer for production at scale, with strong focus on software quality, scalability, security, performance, observability, maintainability, and operational readiness. Provide technical leadership and mentorship, influence engineerin

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As an AV Production Specialist, you'll own the day-to-day operation of the event technology behind how Anthropic communicates — the all-hands, the executive presentations, the live broadcasts. You are the owner of these productions: accountable for their technical outcome from the moment a request arrives through to the follow-up after the room clears, and the technical partner our executives, events team, and communications partners rely on to make them land. This is an operations role with engineering depth behind it. You'll work across the same technology stack as our broadcast engineering practice with your center of gravity in execution and service. You'll keep our event spaces in a state of readiness through preventative maintenance, and be the calm, capable presence that executives, comms partners, and event producers learn to trust. Your work directly enables the collaboration and transparency that advance our AI safety mission. Responsibilities Live Event Production & Run-of-Show Own the technical execution of live and hybrid events, from small executive presentations to company-wide all-hands broadcasts reaching thousands of participants Serve as technical director for live productions across the full range, up to and including executive presentations and company-wide broadcasts Operate production systems during live events including video switchers, audio consoles, camera systems, playback, and streaming encoders Build and run the technical run-of-show: cue sheets, source lists, rehearsal schedules, and backup plans Direct contractors and onsite technicians during productions, delegating clearly und

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role - Multiple Levels This is an engineering delivery role where you’ll translate ambiguous customer needs into production-grade data, evaluation, and ML-assisted workflows. This is a high-impact role focused on end-to-end ownership of the AI data pipeline lifecycle, including developing and deploying ML-based workflows and building the technical foundations that make our human-in-the-loop (HITL) data generation and review faster, more reliable, and more effective. You’ll work at the critical intersection of data science, data engineering, AI engineering and operations, partnering closely with our DaaS Delivery Operations team and cross-functional stakeholders. You’ll develop technical specifications, design evaluation workflows, implement quality standards, measurement frameworks, and ML-assisted applications which improve our data pipelines and unblock projects through technical innovation. This role is ideal for someone who is comfortable working throughout the delivery lifecycle, rolling up their sleeves to solve complex multi-faceted problems, thrives as a technical communicator and works well as a key member of a team. Main Responsibilities Project Execution & Delivery Build and deploy evaluators, design and implement quality measurement systems to validate project outputs and ensure deliverables meet client expectations Generate synthetic datasets by developing or adapting existing pipelines to accelerate client engagements and aug

Location Details: Remote, India At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team... GoDaddy's Network Security Engineering and Operations team is searching for a Network Security Policy Engineer to coordinate the quality of network access rules within our hybrid environment. Do you enjoy unraveling the puzzle of application connectivity, determining what an application genuinely needs and crafting access that supports teams without broadening exposure? You will audit and control policies throughout our security zones in this role. Additionally, you will check connectivity requests against approved models and develop governance automation to expand with our environment! What you'll get to do... Audit firewall, segmentation, and zone-to-zone policy to find overly permissive, unused, shadowed, and drifted rules, and report on zone posture and risk Review connectivity requests from application and platform teams, and partner with them to redesign requests that don't fit approved patterns Write and maintain firewall rules, ACLs, routing, and segmentation changes with strong change-management rigor Manage temporary ACLs and policy exceptions fully, from designated owner and expiry to remediation Build automated checks that catch non-compliant policy before production, and replace manual governance work with repeatable jobs Your experience should include... 3+ years in network engineering, network security, or infrastructure operations supporting a large production environment Hands-on firewall policy experience on an enterprise platform such as Juniper SRX or Palo Alto Networks, including troubleshooting with

Location Details: Remote, India At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team... GoDaddy's Network Security Engineering and Operations team is looking for a Network Security Automation Engineer to build and run the software that manages network security at scale. Are you equally comfortable reading a firewall rule base and a CI pipeline? In this role you'll own the internal APIs and risk engine behind our network policy management, automate our operational workflows, and find the problems nobody has filed a ticket for! Because this tooling holds privileged access to the network, the role requires real security judgment, not just software skills. What you'll get to do... Own and extend the internal APIs and services that drive network security policy management, including our risk calculation engine Automate operational workflows from request intake and validation through change execution, evidence capture and reporting Write, test and maintain production code, partnering with our SRE team on deployment, monitoring and release Integrate with firewalls, segmentation platforms, asset sources, ticketing and network detection tooling through their APIs Help stand up network detection and response capability and automate detection validation across NDR, IDS and IPS Your experience should include... 3+ years in network security, network engineering, infrastructure automation or a platform/tooling role, with tools and services you've built and shipped Strong Python proficiency, with tested, maintainable production code. Demonstrated network security depth: firewall policy, segmentation, ACLs and routing acro

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. Micron’s Boise High‑Volume Manufacturing (HVM) team is responsible for delivering stable, high‑yield semiconductor manufacturing to support Micron’s long‑term DRAM production strategy. The photolithography organization partners closely with operations, equipment engineering, and integration to maintain safe, efficient, and repeatable manufacturing. The Photolithography Process Engineer supports day‑to‑day health and capability of assigned, non‑critical lithography processes and tools. This role executes established control plans and standard work, monitors manufacturing signals, and supports issue resolution and continuous improvement activities with guidance from more experienced engineers. Responsibilities Execute established control plans and standard work to support stable lithography manufacturing. Monitor SPC, metrology, defect, and tool health indicators and escalate risks appropriately. Support excursion response activities, including containment, data collection, and documentation. Partner with shift operations and equipment engineering to support tool recovery and daily priorities. Complete well‑defined improvement tasks related to yield, output, cycle time, or cost with guidance. Minimum Qualifications B.S or M.S in Electrical/Electronics Engineering, Materials Science, Physics, Chemistry, Chemical Engineering, Computer Engineering, or a related technical field.. Understanding of high‑volume manufacturing execution, including SPC mon

Location Details: Remote, India At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team... We are looking for an experienced engineer to join the Infrastructure Management and Automation team. In this role, you’ll help shape and build the tools, platforms, and automation that power and manage GoDaddy’s growing infrastructure footprint while leading the design of scalable solutions to complex operational challenges. Our infrastructure platform empowers GoDaddy engineers to help small business customers start, grow, and run their ventures. GoDaddy teams rely on our infrastructure solutions every day, whether for development workflows or hosting production workloads at global scale. If you enjoy solving complex technical problems, designing scalable systems, influencing technical direction, and improving how infrastructure is managed and automated, we’d love to hear from you! What you'll get to do... Lead the design and evolution of GoDaddy’s next generation of infrastructure management platforms and automation systems, taking ownership of complex technical areas from design through delivery and operation Leverage modern engineering practices and AI-assisted development workflows to rapidly design, build, and deliver scalable internal tooling and automation Design and build reliable services and integrations across infrastructure platforms and operational systems, including provisioning, networking, IPAM, DNS, CMDB, and asset management workflows Partner with engineering and operations teams to identify opportunities, shape technical solutions, and improve infrastructure reliability, scalability, utilization, and opera

Infrastructure Engineer (SRE) Department: Engineering – Infrastructure About Atomic Industries Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that. At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration. Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy. About the Role As an Infrastructure Engineer at Atomic, you’ll own the systems that power high-performance simulation, geometry processing, and factory automation. You’ll be responsible for building and maintaining the hybrid infrastructure that spans cloud, on-prem, and GPU compute environments. This role is ideal for engineers who thrive at the intersection of reliability, performance, and engineering velocity. What You’ll Do Manage and improve CI/CD pipelines (GitHub Actions, Terraform, HashiCorp stack) Orchestrate compute workloads across cloud and bare-metal GPU clusters Design systems for secure, fault-tolerant deployment and observability Build internal tooling to accelerate developer workflows and operations Partner with engineers on simulation, ML, and backend tea

Infrastructure Engineer (SRE) Department: Engineering – Infrastructure About Atomic Industries Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that. At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration. Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy. About the Role As an Infrastructure Engineer at Atomic, you’ll own the systems that power high-performance simulation, geometry processing, and factory automation. You’ll be responsible for building and maintaining the hybrid infrastructure that spans cloud, on-prem, and GPU compute environments. This role is ideal for engineers who thrive at the intersection of reliability, performance, and engineering velocity. What You’ll Do Manage and improve CI/CD pipelines (GitHub Actions, Terraform, HashiCorp stack) Orchestrate compute workloads across cloud and bare-metal GPU clusters Design systems for secure, fault-tolerant deployment and observability Build internal tooling to accelerate developer workflows and operations Partner with engineers on simulation, ML, and backend tea

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 seeking an experienced and proactive Security Engineer to help us build, maintain, and continuously improve the security posture of our rapidly growing ML infrastructure platform. As one of the first dedicated security hires at Baseten, you will work cross-functionally with engineering and operations teams to ensure we’re meeting the highest standards of confidentiality, integrity, and availability. You’ll have an opportunity to shape our security strategy and best practices from the ground up, influencing the way our platform handles sensitive data for both internal and external stakeholders. RESPONSIBILITIES Security architecture and design: Collaborate with engineering teams to design and implement secure systems and infrastructure, including cloud (AWS/GCP) environments and container orchestration platforms. Vulnerability management: Lead proactive vulnerability assessments, pen tests, and remediation efforts to ensure our products and infrastructure remain secure. Incident response: Develop and maintain incident response processes, including detection, analysis, containment, eradication, and post-incident reviews. Identity and access management (IAM): Oversee IAM strategies and tools to ensure the right people have the right level of access to our systems and data. Security compliance and audits: Work closely with operations to ensure compliance with relevant standards (e.g., SOC 2, ISO 27001) and as