Reliability Engineer in United States

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 Global Supplier Quality organization is seeking a Controller Quality Principal Engineer to lead the quality strategy, qualification, and continuous improvement of storage and memory controller (ASIC/SoC) manufacturers supporting Micron's SSD, embedded, and storage solutions portfolio. This is a senior technical leadership role responsible for driving controller supplier quality performance from design qualification through mass production and field support The successful candidate will collaborate across functions with ASIC Development Team, Compose Engineering, Product Engineering, Dependability, Manufacturing, and Commodity Management, as well as directly with controller IC vendors, foundries, third party reliability labs and OSAT (outsourced assembly and test) partners, to ensure controller quality, reliability, and supply continuity meet Micron's standards. This role can be based in Taiwan, Hyderabad, or San Jose and will work extensively across time zones with global partners and suppliers! Develops, evaluates, revises, and applies technical quality assurance protocols/methods to inspect and test in-process raw materials, production equipment, and finished products. Ensures activities and items are in compliance with both company quality assurance standards and applicable government regulations. Performs analysis and identifies trends in the inspection of finished products, in-process materials and bulk raw materials, and recommends corrective actions when vital. Ensures that established manufacturing inspection, sampling and statisti

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore fosters continuous learning and innovation. Job Summary Reporting into the Systems Engineering organisation, the Distinguished Engineer, End-to-End Security Architect will define and lead the security architecture for Graphcore’s inference service platform. This role is responsible for establishing a comprehensive security strategy spanning platform, infrastructure, networking, service operations, customer assurance, and compliance readiness. Working across multiple engineering and operational functions, the successful candidate will provide technical leadership, drive security requirements, and ensure the platform delivers robust protection, resilience, and trust for customers. The Team You will work closely with teams across security architecture, infrastructure engineering, networking, site reliability engineering, platform software, firmware, data centre operations, compliance, legal, customer engineering, and customer security. The team collaborates across the business to deliver secure, reliable, and scalable AI infrastructure and services while supporting customer assurance, regulatory requirements, and operational excellence. Responsibilities and Duties Own the end-to-end security a

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. The Grid Service and Platform Engineering team is looking for a highly motivated and collaborative Software Engineering Manager. This role involves leading the engineering of mission-critical, tier 0 service infrastructure, the foundational data platform that powers Smartsheet at scale. You will oversee services that handle millions requests per day, operate at 99.999% availability, and deliver low-latency, high-throughput performance for millions of customers worldwide. We are an agile team that operates iteratively, focused on building high-quality software and adhering to rigorous operational best practices across complex, cross-functional distributed systems. This full-time position reports to the Director, Engineering and can be located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer. You Will: Manage one or more related teams of 6–10+ software engineers, driving development of tier 0 grid services and platform infrastructure that millions of customers depend on daily. Own and uphold 99.999% service availability targets across critical platform services, embedding reliability engineering, incident management, and on-call rigor into team culture. Help architect and guide technical vision to evolve low-latency, high-throughput service platforms capable of sustaining millions requests per day with predictable, consistent performance under load. Guide and mentor engineers on distributed systems architecture, scalability patterns, and platform best pr

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The Data Access team within Infra / Storage builds EaaS (Entities-as-a-Service), Roblox’s large-scale managed OLTP access and management platform powering tens of millions of QPS across thousands of services. EaaS abstracts the complexity of distributed databases and caching systems behind a consistent and productive developer experience, enabling teams across Roblox to safely build and operate stateful systems at massive scale without requiring deep database expertise. The team operates at the intersection of distributed systems engineering, reliability engineering, and platform architecture — solving hard infrastructure problems that directly impact Roblox-wide scale and stability. As a Senior Software Engineer you will work on some of Roblox’s hardest backend infrastructure challenges around scalability, reliability, workload governance, adaptive flow control, and distributed systems. You Will Build and evolve EaaS, Roblox’s managed OLTP access platform powering tens of millions of QPS across hundreds of services. Design infrastructure that abstracts distributed databases and caching systems behind a consistent, safe, and highly productive developer experience. Drive reliability and scal

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 is seeking a highly motivated and experienced Technical Staff Member to join our Quality Engineering team in Boise, ID. Your role will be crucial in ensuring the reliability and quality of wafers shipped from our Boise manufacturing site! Summary The Product Quality and Reliability team ensures Micron delivers high-quality, reliable semiconductor solutions that meet customer expectations and business objectives. The team partners across product engineering, design, technology development, manufacturing, and reliability organizations to identify risks, solve complex technical challenges, and drive continuous improvements in product performance, yield, and customer satisfaction! Position Overview As a Senior Product Quality and Reliability Engineer, you will be a technical leader. You will drive product excellence in quality, dependability, and yield across advanced semiconductor technologies. You will lead complex technical investigations, influence product and technology decisions, and develop innovative approaches that strengthen quality systems and business outcomes. This role provides an opportunity to have broad interpersonal impact through technical leadership, multi-functional teamwork, and strategic problem-solving. Responsibilities Lead complex investigations involving yield excursions, product deviations, and quality issues, driving root cause identification, containment actions, and sustainable corrective solutions Define product quality and reliability moni

We are looking for a Senior System Software Engineer, Software Defined Networking to design, build, and operate highly performant and scalable SDN solutions for NVIDIA's AI Clouds hosting GPU-accelerated workloads — including hyperscale multi-node training, inference, cloud gaming, and cloud functions. This role spans the full lifecycle of our SDN stack — from designing and developing new control and data plane software to ensuring operational excellence in production through reliability engineering, CI/CD, observability, and incident response. What you'll be doing: Design and develop next-generation multi-tenant cloud SDN control and data plane software (OVS, OVN, OpenFlow) Build Infrastructure-as-a-Service virtual network orchestration and services using gRPC and REST to support tenant workload security and performance SLAs for BMaaS, VMaaS, and Kubernetes Drive upstream contributions to OVN-Kubernetes and related open-source projects Develop software for network observability — monitoring, telemetry, intelligent metering, and performance analysis Operate and support OVS-OVN based SDN solutions in large-scale NVIDIA AI Cloud environments Own end-to-end observability for the SDN stack — build and maintain monitoring, alerting, distributed tracing, and dashboarding to ensure real-time insight into network health, performance, and tenant SLAs Design, enhance, and maintain CI/CD pipelines (GitLab) across Linux host networking, OVS, OVN, and Kubernetes CNIs Implement GitOps approaches or related experience for secure, seamless integration with cloud infrastructure Drive reliability through incident management, resource monitoring, and performance tuning<

About the Team The Industrial Compute team is responsible for building the physical infrastructure that powers OpenAI’s largest-scale AI systems. We design, deploy, and operate next-generation compute infrastructure across a rapidly expanding global footprint, combining OpenAI-owned infrastructure with strategic cloud and infrastructure partners to support frontier AI workloads. As our infrastructure footprint grows, operational excellence across third-party providers becomes increasingly critical. Our team ensures external infrastructure partners consistently deliver the reliability, performance, and operational maturity required to support OpenAI’s rapidly expanding compute environment. About the Role We are seeking a Hardware Technical Program Manager, Infrastructure Partner Operations to lead operational delivery across OpenAI’s third-party infrastructure partners, including major cloud service providers and strategic compute vendors. In this role, you will serve as the primary operational program manager for external infrastructure partners, driving accountability for service delivery, operational readiness, incident management, performance reporting, and continuous operational improvement. You will work closely with partner engineering and operations teams while coordinating internally across Hardware Engineering, Infrastructure Operations, Capacity Planning, Networking, Supply Chain, Deployment, Reliability Engineering, and executive leadership. Success in this role requires someone who understands how hyperscale infrastructure organizations operate, can establish strong operational governance with external partners, and is comfortable driving complex technical programs without direct ownership of the underlying infrastructure. Key Responsibilities Own operational engagement with third-party infrastructure providers, ensuring consistent execution against operational commitments, service-level agreements (SLAs), and performance expectations. Develop operationa

Job Details: Job Description: As a Material Analysis (MA) Technician, you will be part of a Technology Development (TD) and High-Volume Manufacturing (HVM) lab responsible for performing material analysis and failure analysis in support of Intel's silicon process development and high-volume production. You will work on developing imaging, composition analysis and sample preparation techniques, and best-known methods (BKMs) to improve lab analysis quality, efficiency and output. You will directly interface with TD and HVM fab customers and quality/reliability engineers to develop solutions to problems by utilizing lab capabilities. The scope may include wafer and unit level, front-end modules and back-end/far back-end modules. Responsibilities may include but not be limited to: • Conducting hands-on analysis by effectively utilizing lab techniques, from sample prep micro-cleaver, ion mill etcher, mechanical polish to SEM/EDX, Dual beam FIB, TEM techniques to characterize Si fabricated structures at nanometer scales and integrated circuit device to improve process, performance and reliability; and to identify physical failure mode toward the root-cause identification. • Conducting hands-on data collection with various lab equipment’s, and assisting engineers to implement materials characterization techniques to determine fundamental thin film material structure/properties and to collaborate with process development engineers across functional areas and organizations to improve process performance and reliability. • Supporting and sustaining lab equipment. Ensuring that lab analytical capabilities needed to support advanced transistor and interconnect technology and/or product development are in place. Cooperating with other lab areas beyond local MA/FA (Failure Analysis) labs to achieve

About the Team Training Runtime builds the distributed systems that power OpenAI's largest model training runs - most recently GPT-5.5! The Data Movement area owns the infrastructure that keeps training jobs supplied with the right data at the right time, and keeps model state moving safely and efficiently across large clusters. Our work spans machine learning systems, distributed storage, high-throughput data loading, reliability engineering, and developer experience. Success means researchers can move quickly while training runs remain fast, reproducible, debuggable, and resilient at scale. About the Role We are looking for a deeply hands-on Technical Lead Manager to own datasets throughout our training infrastructure. This person will set the direction for how training jobs read data: the APIs, storage contracts, versioning model, benchmarks, debugging tools, and reliability guarantees that make data access consistent across current and future training frameworks. You will begin as the primary technical owner for dataset reads, working directly in the code while aligning researchers, training framework owners, storage teams, and infrastructure partners around a durable platform. The problem is deceptively hard at frontier scale: make enormous, heterogeneous datasets easy to consume, correct across distributed workers, observable when something goes wrong, and flexible enough to support pretraining, reinforcement learning, and multimodal training. In this role, you will Design and build a unified dataset read platform for multiple current and future training frameworks. Define dataset APIs, storage-format expectations, registration/versioning, and migration paths that make data access reproducible and maintainable. Build reliability into the read path, including stateful iteration, caching, fast restart, recovery, and clear operational contracts. Build terminal and web-based visualizers that let teams inspect text, multimodal, and reinforcement learning data late

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Why Reliability? Roblox serves over 100 million people every day across a platform that is constantly evolving — and behind every experience is infrastructure that has to work, every time, at massive scale. The Reliability team at Roblox operates at the depth and breadth of the Roblox stack. Availability of the platform is a key company goal. We are hiring our first Senior Machine Learning engineer within our team. As a Senior Machine Learning Engineer within Reliability, you will help set the direction for how machine learning systems/practices can be leveraged to improve the reliability of the overall Roblox platform. You will own the architectural and execution roadmap of leveraging massive data across - logs, traces, metrics, production changes, to proactively detect issues before they become real problems (MTTD) and/or reduce time to resolve incidents (MTTR). You will have the opportunity to cross functionally collaborate with other similar teams at Roblox to define best practices and software. You will: Help define the roadmap for leveraging Machine Learning Engineering to improve Production Systems Reliability at Roblox. Improve r

Overview The Associate Director of Service Engineering leads the reliability, availability, and operational excellence of Natera’s lab-facing platforms. This role ensures that clinical systems, laboratory equipment workflows, and data pipelines operate with high reliability, scalability, and compliance in a regulated healthcare environment. You will lead a team responsible for production stability, incident response, and service health, partnering closely with Production Engineering, Lab Operations, Bioinformatics, Infrastructure, Facilities, and Compliance to support mission-critical genetic testing and diagnostics. Key Responsibilities Leadership & Team Development Lead, mentor, and scale a team of Service Engineers / SREs supporting clinical production systems Establish clear expectations around ownership, on-call readiness, and operational excellence Drive hiring, onboarding, performance management, and career growth Foster a blameless, learning-oriented culture focused on patient impact and reliability Service Reliability & Production Operations Own reliability and availability for production services supporting laboratory operations, reporting, and customer delivery Define and manage SLAs, SLOs, and operational KPIs aligned with clinical and business priorities Lead major incident response, ensuring rapid triage, clear communication, and thorough post-incident reviews Oversee on-call rotations, escalation paths, and operational playbooks Ensure operational readiness and go-live support for new assays, pipelines, and platform capabilities Technical Strategy & Execution Partner with Engineering and Development teams to design resilient, fault-tolerant systems Drive best practices for monitoring, alerting, logging, and observability across lab and cloud platforms Reduce operational toil through automation, tooling, and process improvements Advocate for reliability, performance, and scalability requirements early in t

Job Details: Job Description: As one of the world's largest semiconductor manufacturers, Intel is committed to advancing every aspect of semiconductor technology, from process development and manufacturing to advanced packaging and reliability characterization. Employees within Intel Foundry are part of a global network spanning technology development, manufacturing, assembly, test, and quality organizations across both front-end silicon and advanced packaging facilities. You will join the Foundry Lab Network (FLN), a key organization within Foundry Quality, Reliability, and Labs (FQRL), located at Intel's growing Chandler, Arizona site. This site serves as the technology development hub for Intel's most advanced packaging technologies, including Hybrid Bond Interconnect (HBI), Embedded Multi-die Interconnect Bridge (EMIB-T), glass substrates, Foveros, and future advanced packaging innovations. FLN is actively expanding its laboratory capabilities and capacity to support Intel Foundry's roadmap, enabling faster technology qualification and accelerating development cycles through Quick Turn Monitoring (QTM) solutions that significantly reduce time-to-data. As the Stress Test and Reliability (STaR) Back-End Laboratory Manager, you will play a critical leadership role within FLN. You will partner closely with Packaging Technology Development, Quality and Reliability, and Failure Analysis teams to establish and enhance laboratory capabilities that support qualification and certification of next-generation packaging technologies and products. This position offers a unique combination of people leadership, technical problem solving, and organizational strategy. You will lead a team of 7-10 talented engineers, spearhead cross-functional efforts to resolve complex reliability and technology challenges, drive strong quality and operati

About the Team API Frontiers turns OpenAI’s frontier models into production APIs that developers can use to build reliable products and agents. We own the core path connecting models to developers through the Responses API, with a focus on safety, reliability, and speed. Working closely with Research, Safety, Codex, and other API teams, we bring new model capabilities into production and improve them through developer feedback. About the Role We are looking for a backend software engineer to build and operate the services behind the Responses API. You will shape API behavior, bring new capabilities from research into production, and make long-running agent workflows dependable and fast. The work combines distributed systems engineering with product judgment: designing useful developer interfaces, managing staged rollouts, and following production issues through to durable fixes. In this role, you will: Design, build, and operate APIs and backend services that bring frontier model capabilities to developers. Partner with Research, Safety, Codex, and API teams to define API behavior and deliver safe, staged launches. Build API capabilities for agent workflows, including task delegation, context sharing, and parallel execution. Strengthen long-running request reliability across timeouts, cancellation, streaming, and background execution. Improve request-processing performance and tail latency through profiling, efficient systems code, and persistent connections. Turn developer feedback and production failures into better observability, diagnostics, and lasting product improvements. Your background might look something like: 5+ years of experience building and operating backend services or developer-facing APIs in production. Strong software engineering fundamentals, with practical knowledge of distributed systems, concurrency, and asynchronous execution. Ability to diagnose production failures and performance bottlenecks using observability data and profiling. Product

Join the engineering teams that bring OpenAI’s ideas safely to the world! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable. You will work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. Successful candidates will play a crucial role in ensuring the reliability, scalability, and performance of our systems as we continue to expand. As a reliability expert, you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure. You will work closely with cross-functional teams, including software engineers, product managers, and data scientists, to build and maintain resilient systems that can handle our growing user base and workload. In this role, you will: Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands. Build and maintain the load, chaos and synthetic-testing software leveraged by development teams to make the systems they design and operate more reliable. Build and maintain automation tools to streamline repetitive tasks and improve system reliability. Build and maintain the platform for CPU, storage, GPU, and network lifecycle management to drive efficiency, accountability and dynamic optimization of our resources. Implement fault-tolerant and resilient design

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 to ship AI products. THE ROLE Baseten’s Inference Stack team builds the distributed runtime that powers large-scale LLM inference across our platform. We operate at the intersection of distributed systems, model performance, infrastructure, and developer experience. We enable customers to deploy and operate cutting-edge LLM models with industry-leading performance, scalability, reliability, and ease of use. As a Software Engineer on the Inference Stack team, you’ll work across the stack - from the developer experience customers use to deploy models, the libraries used for features like tool calling and reasoning, all the way down to the systems we use to orchestrate deployments in Kubernetes and route traffic efficiently. This is an ideal role for engineers who enjoy owning systems in production, solving hard integration problems, and making complex infrastructure simple and reliable for users. EXAMPLE INITIATIVES Blog Posts https://www.baseten.co/blog/nvidia-dynamo-day-baseten-inference-stack/ https://www.baseten.co/blog/how-baseten-achieved-2x-faster-inference-with-nvidia-dynamo/ https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/#comparing-deployment-options-cloud-vs-self-hosted-vs-hybrid RESPONSIBILITIES Develop infrastructure and orchestration systems for deploying and managing large-scale distributed LLM inference Work across the stack, from customer-facing features to low-le