Hardware Operations Engineer Jobs

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart’s Enterprise Solutions – Connected Stores team is building the next generation of in-store experiences, bridging physical retail with digital capabilities through cutting-edge hardware, software, and AI. We partner with enterprise retailers to deliver seamless, high-scale integrations that power magical shopping experiences for millions of customers and thousands of stores. As a Senior Solution Architect, you will own end-to-end technical design and solutioning for our enterprise retail partners, serving as the primary technical liaison across Instacart Product and Engineering while collaborating closely with partner technology and business stakeholders. You’ll work on first-of-a-kind challenges in the in-store physical AI space, translating business needs into scalable architectures that launch successfully and stand the test of time. This role

Who we are About Privy Our mission is to make privacy and user ownership the default online. To do so, we build simple, flexible APIs and tools for developers that make it easy to build new products on crypto rails. Privy owns the abstractions and infrastructure layer above wallets, integrating across chains, third-party providers, and Stripe products like Treasury and Link. We get to solve hard technical problems while leveraging Stripe's distribution to reach customers like Ramp, Klarna, Deel, Kraken, Hyperliquid, and Fomo — powering experiences for both mainstream users and crypto natives. Learn more about Privy: Privy and Stripe: Bringing crypto to everyone About the team Engineering at Privy is distinguished by High urgency—Shipping very small iterations, very fast, to learn very quickly Product taste—Our customers are developers, and to build effective products for them requires technical knowledge—you will often be "the PM." Security mindset—A great portion of our product is trust. While we have a dedicated security team, every engineer brings security to their designs from the start. In practice, we use boring technology like Node, React, and AWS so we can focus our engineering energy entirely on pushing the boundaries of Privy's core product, e.g. through hardware enclaves, multi-region low latency APIs, and blockchain abstractions that are accessible to mainstream developers. What you’ll do As a Fullstack Engineer at Privy, you will take on large areas of ownership in Privy’s product, architecture, and infrastructure. Because we build a developer tool, engineering and product are inextricably connected. We value intuitive interfaces, simplicity, and rapid iteration. Above all, we are building a company together to ship products that users love. Design intuitive interfaces to break down complex systems and turn them into delightful developer tooling Build and integrate systems end-to-end across client-side and server-side APIs to enable a seamle

About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Stripe Terminal helps Stripe users extend their online presence into the physical world. The Terminal team’s mission is to make it as easy for businesses to accept in-person payments as the Stripe API has done for online payments. With Terminal, businesses can unlock in-person payments use cases that are right for their business model—whether it’s creating a flagship retail experience, extending their website to a pop-up store, or enabling a mobile point-of-sale at their next event. We are looking for: You will be responsible for all aspects of software development, which includes building, writing automated tests, and deploying software on our embedded payments platforms. This team works closely with partner teams throughout the hardware and software product lifecycle, from hardware manufacturing to Android application teams. What you’ll do Design, develop and maintain user interfaces and underlying functionality for embedded point-of-sale software that handle secure payment processing across several products simultaneously. Implement industry standard protocols to match product capabilities. Create, maintain, and execute application unit tests as part of Continuous Integration. Analyze bug reports and manage the defect resolution process (disposition issues, resolve issues, and report issue status). Work closely with QA staff to ensure appropriate test cases are created, maintained, and executed. Collaborate on system-side code, co

Who we are About Privy Our mission is to make privacy and user ownership the default online. To do so, we build simple, flexible APIs and tools for developers that make it easy to build new products on crypto rails. Privy owns the abstractions and infrastructure layer above wallets, integrating across chains, third-party providers, and Stripe products like Treasury and Link. We get to solve hard technical problems while leveraging Stripe's distribution to reach customers like Ramp, Klarna, Deel, Kraken, Hyperliquid, and Fomo — powering experiences for both mainstream users and crypto natives. Learn more about Privy: Privy and Stripe: Bringing crypto to everyone About the team Engineering at Privy is distinguished by: High urgency: Shipping very small iterations, very fast, to learn very quickly. Product taste: Our customers are developers, and to build effective products for them requires technical knowledge - you will often be "the PM". Security mindset: A great portion of our product is trust. While we have a dedicated security team, every engineer brings security to their designs from the start. In practice, we use boring technology like Node, React, and AWS so we can focus our engineering energy entirely on pushing the boundaries of Privy's core product, e.g. through hardware enclaves, multi-region low latency APIs, and blockchain abstractions that are accessible to mainstream developers. What you’ll do Manage and architect multi-tenant infrastructure that serves billions of requests every month Design our build and deploy systems across the stack, from SDKs to apps to high-traffic APIs to complex secure enclaves, and more – all for a team that ships daily Drive observability across our product and help keep our systems up and performant in our role in the most critical parts of our customers' stacks Advocate for making the right technical investments at the right time in a company with ever-evolving technical needs Who you are Minimum requirements 8

Who we are About Privy Our mission is to make privacy and user ownership the default online. To do so, we build simple, flexible APIs and tools for developers that make it easy to build new products on crypto rails. Privy owns the abstractions and infrastructure layer above wallets, integrating across chains, third-party providers, and Stripe products like Treasury and Link. We get to solve hard technical problems while leveraging Stripe's distribution to reach customers like Ramp, Klarna, Deel, Kraken, Hyperliquid, and Fomo — powering experiences for both mainstream users and crypto natives. About the team Engineering at Privy is distinguished by High urgency—Shipping very small iterations, very fast, to learn very quickly Product taste—Our customers are developers, and to build effective products for them requires technical knowledge—you will often be "the PM." Security mindset—A great portion of our product is trust. While we have a dedicated security team, every engineer brings security to their designs from the start. In practice, we use boring technology like Node, React, and AWS so we can focus our engineering energy entirely on pushing the boundaries of Privy's core product, e.g. through hardware enclaves, multi-region low latency APIs, and blockchain abstractions that are accessible to mainstream developers. What you’ll do We're looking for an exceptional Forward Deployed Engineer to join our team and be the primary technical owner for building out new capabilities with Privy's most important customers. In this role, you will combine technical expertise with a deep understanding of customer and business objectives to architect, develop, and deploy software features that address customers’ needs and evolve the capabilities of Privy’s core products. Customer obsession is a core part of Privy’s culture. You’ll work closely with fellow engineers, product, and business teams to ensure Privy's customers achieve their desired outcomes and are delighted

Who we are About Privy Our mission is to make privacy and user ownership the default online. To do so, we build simple, flexible APIs and tools for developers that make it easy to build new products on crypto rails. Privy owns the abstractions and infrastructure layer above wallets, integrating across chains, third-party providers, and Stripe products like Treasury and Link. We get to solve hard technical problems while leveraging Stripe's distribution to reach customers like Ramp, Klarna, Deel, Kraken, Hyperliquid, and Fomo — powering experiences for both mainstream users and crypto natives. Learn more about Privy: Privy and Stripe: Bringing crypto to everyone About the team Engineering at Privy is distinguished by: High urgency: Shipping very small iterations, very fast, to learn very quickly. Product taste: Our customers are developers, and to build effective products for them requires technical knowledge - you will often be "the PM". Security mindset: A great portion of our product is trust. While we have a dedicated security team, every engineer brings security to their designs from the start. In practice, we use boring technology like Node, React, and AWS so we can focus our engineering energy entirely on pushing the boundaries of Privy's core product, e.g. through hardware enclaves, multi-region low latency APIs, and blockchain abstractions that are accessible to mainstream developers. What you'll do Design and build the backend systems that power wallets, identity, and onchain infrastructure at scale Create platform primitives and APIs that enable teams across Privy and Stripe to build faster Lead complex technical initiatives across architecture, data, and distributed systems Improve the scalability, reliability, and performance of our core platform Help shape our technical direction through high-leverage engineering work Who you are Minimum requirements 8+ years of experience building and maintaining a production system at scale An understandin

About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Stripe Terminal helps Stripe users extend their online presence into the physical world. The Terminal team’s mission is to make it as easy for businesses to accept in-person payments as the Stripe API has done for online payments. With Terminal, businesses can unlock in-person payments use cases that are right for their business model—whether it’s creating a flagship retail experience, extending their website to a pop-up store, or enabling a mobile point-of-sale at their next event. What we are looking for: As an Android BSP Engineer, you will be responsible for the kernel and driver level system development, which includes building, troubleshooting, and writing automated tests for the Android system on our embedded payments platforms. This team works closely with partner teams throughout the hardware and software product lifecycle, from hardware manufacturing to Android app teams. We also work with external vendors on part selection and initial hardware bring-up. What you’ll do: Bring up new devices and lead debugging and performance tuning exercises that span multiple hardware/firmware/software teams. Design, implement, and maintain drivers and Android services that operate efficiently in a constrained environment and meet the reliability and security requirements of the industry. Own the definition of one or more work streams focused on hardware bring-up, peripheral drivers and communication, and power and performance management and opti

About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Stripe Terminal helps our users extend their online presence to the physical world. The Terminal team’s mission is to make it as easy for businesses to accept in-person payments as the Stripe API has done for online payments. With Terminal, businesses can unlock in-person payments use cases that are right for their business model—whether it’s creating a superb retail experience, extending their website to a pop-up store, or enabling a mobile point-of-sale at their next event. We’re looking for an experienced product manager to lead and shape the future of the software platform that powers Stripe Terminal’s devices portfolio. Working closely with your engineering partners you will design, build and launch device software capabilities that delight users and differentiate Stripe’s solutions in the market. Working closely with our hardware experts you will build the multi-year strategy for how Stripe will continue to enhance the scalability, reliability, usability, and market differentiation of the software capabilities of our in-person commerce devices. In this role, you will work with a spectrum of users, from our largest platforms to small start ups as well as external technology partners to deeply understand user needs and market trends. You will obsess over stability, scalability, and expanding our product while delivering the best in person experiences in the world. What you'll do: Set a motivating multi-year vision for device softw

Who we are About Privy Our mission is to make privacy and user ownership the default online. To do so, we build simple, flexible APIs and tools for developers that make it easy to build new products on crypto rails. Privy owns the abstractions and infrastructure layer above wallets, integrating across chains, third-party providers, and Stripe products like Treasury and Link. We get to solve hard technical problems while leveraging Stripe's distribution to reach customers like Ramp, Klarna, Deel, Kraken, Hyperliquid, and Fomo — powering experiences for both mainstream users and crypto natives. About the team Engineering at Privy is distinguished by: High urgency: Shipping very small iterations, very fast, to learn very quickly. Product taste: Our customers are developers, and to build effective products for them requires technical knowledge - you will often be "the PM". Security mindset: A great portion of our product is trust. While we have a dedicated security team, every engineer brings security to their designs from the start. In practice, we use boring technology like Node, React, and AWS so we can focus our engineering energy entirely on pushing the boundaries of Privy's core product, e.g. through hardware enclaves, multi-region low latency APIs, and blockchain abstractions that are accessible to mainstream developers. What you’ll do As an Engineering Manager at Privy, you will lead, grow, and shape high-performing engineering teams that make a massive impact on our product and industry. Your North Star is to enable and drive towards the success of Privy’s business overall. The buck stops with you: you are the owner of your team’s ultimate impact on Privy’s product and business. We believe that excellence in management is why our team loves working at Privy. Incredible managers are the core driver behind Privy’s long-term success: they are force multipliers, performance coaches, culture-carriers. They build the scaffolding that supports the team and

Who we are About Privy Our mission is to make privacy and user ownership the default online. To do so, we build simple, flexible APIs and tools for developers that make it easy to build new products on crypto rails. Privy owns the abstractions and infrastructure layer above wallets, integrating across chains, third-party providers, and Stripe products like Treasury and Link. We get to solve hard technical problems while leveraging Stripe's distribution to reach customers like Ramp, Klarna, Deel, Kraken, Hyperliquid, and Fomo — powering experiences for both mainstream users and crypto natives. About the team Engineering at Privy is distinguished by: High urgency—Shipping very small iterations, very fast, to learn very quickly. Product taste—Our customers are developers, and to build effective products for them requires technical knowledge —you will often be "the PM". Security mindset—A great portion of our product is trust. While we have a dedicated security team, every engineer brings security to their designs from the start. In practice, we use boring technology like Node, React, and AWS so we can focus our engineering energy entirely on pushing the boundaries of Privy's core product, e.g. through hardware enclaves, multi-region low-latency APIs, and blockchain abstractions that are accessible to mainstream developers. At Privy, our Forward Deployed Engineers work on the company’s most important customer problems. They partner closely with customers to architect our most complex integrations and build new product features that close the gap to win deals. What you’ll do We’re looking for an Engineering Manager to lead this team as it continues to grow. You’ll be responsible for helping an outstanding group of Forward Deployed Engineers do the best work of their careers while staying laser-focused on helping Privy and its customers win. This is a high-leverage role at the intersection of customers, product development, and engineering. You’ll help the team stay

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. Position Overview: As a Staff/Principal Equipment Engineer within PROCT ADT, you will provide technical leadership to improve equipment performance, capability, and global manufacturing outcomes. You will lead complex, multi-site initiatives to resolve equipment challenges, enable technology node readiness, and drive yield and defectivity improvements. This role requires deep expertise, strong ownership, and the ability to influence across teams and suppliers to deliver measurable impact in cost, performance, and scalability. Responsibilities Lead global ownership of equipment performance across toolsets, driving improvements in stability, availability, matching, and efficiency. Direct complex, multi-fab root cause analysis for equipment-driven yield, defectivity, and reliability issues using data-driven and physics-based approaches. Provide technical leadership in tool hardware and chamber behavior to expand process capability and improve performance limits. Partner with Technology Development, integration, and process teams to enable node readiness, volume ramp, and disciplined change control. Influence equipment supplier strategy by leading technical engagements, driving design improvements, and aligning roadmaps to business needs. Drive global standardization through development, validation, and deployment of Best Known Methods (BKMs) across sites. Lead initiatives to improve cost of ownership, reduce variation,

About the Team The Post-Training Frontiers team is responsible for training the frontier agents OpenAI ships to the world (GPT-Next). We train the flagship agentic models behind Codex, ChatGPT, and the API through large-scale reinforcement learning. The team’s work spans four areas. First, execution and science: working with teams across OpenAI to decide what can go into the final model and how, using scientific experiments and evals that are representative of the final pipeline so issues can be recognized early. Second, RL scaling: executing the final large-scale reinforcement learning run, making sure GPUs are used efficiently and training stays healthy. Third, research: improving horizontal capabilities like instruction following, factuality, memory, and multi-agent behavior, where the team’s broad visibility helps identify cross-cutting improvements across teams and domains. Fourth, engineering: maintaining the infrastructure stack and internal tools to ensure that both the final run and all integrations go as smoothly as possible and that the systems are easy to work with. About the Role This role focuses on keeping our frontier RL training runs fast, reliable, and unblocked. You will work across engineering and infrastructure problems as they emerge, from scaling and orchestration issues to inference bottlenecks, numerical problems, and hardware failures, as well as supporting large horizontal integrations in the big run, like multi-agent capabilities or memory. This is a role for a strong generalist who quickly learns anything needed for the task, has high attention to detail, debugs deeply, and is motivated by fixing the highest-impact problem in front of the team. In this role, you will: Keep large-scale async RL training runs moving by jumping into the most urgent engineering and infrastructure problems. Debug issues across training systems, inference, orchestration, scaling, and distributed infrastructure. Improve the reliability and efficiency of RL trai

About the Team Our Inference team brings OpenAI’s most capable research and technology to the world through our products. We empower consumers, enterprise and developers alike to use and access our start-of-the-art AI models, allowing them to do things that they’ve never been able to before. We focus on performant and efficient model inference, as well as accelerating research progression via model inference. About the Role We are looking for an engineer who wants to take the world's largest and most capable AI models and optimize them for use in a high-volume, low-latency, and high-availability production and research environment. In this role, you will: Work alongside machine learning researchers, engineers, and product managers to bring our latest technologies into production. Work alongside researchers to enable advanced research through awesome engineering. Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our model inference stack. Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues. Optimize our code and fleet of Azure VMs to utilize every FLOP and every GB of GPU RAM of our hardware. You might thrive in this role if you: Have an understanding of modern ML architectures and an intuition for how to optimize their performance, particularly for inference. Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. Have at least 5 years of professional software engineering experience. Have or can quickly gain familiarity with PyTorch, NVidia GPUs and the software stacks that optimize them (e.g. NCCL, CUDA), as well as HPC technologies such as InfiniBand, MPI, NVLink, etc. Have experience architecting, building, observing, and debugging production distributed systems. Bonus point if worked on performance-critical distributed systems. Have need

About the Team OpenAI’s Inference team powers the deployment of our most advanced models - including our GPT models, 4o Image Generation, and Whisper - across a variety of platforms. Our work ensures these models are available, performant, and scalable in production, and we partner closely with Research to bring the next generation of models into the world. We're a small, fast-moving team of engineers focused on delivering a world-class developer experience while pushing the boundaries of what AI can do. We’re expanding into multimodal inference, building the infrastructure needed to serve models that handle image, audio, and other non-text modalities. These workloads are inherently more heterogeneous and experimental, involving diverse model sizes and interactions, more complex input/output formats, and tighter coordination with product and research. About the Role We’re looking for a software engineer to help us serve OpenAI’s multimodal models at scale. You’ll be part of a small team responsible for building reliable, high-performance infrastructure for serving real-time audio, image, and other MM workloads in production. This work is inherently cross-functional: you’ll collaborate directly with researchers training these models and with product teams defining new modalities of interaction. You'll build and optimize the systems that let users generate speech, understand images, and interact with models in ways far beyond text. In this role, you will: Design and implement inference infrastructure for large-scale multimodal models. Optimize systems for high-throughput, low-latency delivery of image and audio inputs and outputs. Enable experimental research workflows to transition into reliable production services. Collaborate closely with researchers, infra teams, and product engineers to deploy state-of-the-art capabilities. Contribute to system-level improvements including GPU utilization, tensor parallelism, and hardware abstraction layers. You might thrive in t

About the Team: Compute Infrastructure builds the platform that turns enormous amounts of compute into a reliable engine for frontier AI. We design, provision, schedule, operate, and optimize the systems that connect accelerators, CPUs, networks, storage, data centers, orchestration software, agent infrastructure, developer tools, and observability into one coherent experience for researchers and product teams. Our work spans the entire stack: capacity planning and cluster lifecycle, bare-metal automation, distributed systems, Kubernetes and scheduling, deep system optimization, high-performance networking, storage, fleet health, reliability, workload profiling, benchmarking, and the developer experience that lets teams use enormous compute systems with confidence. At this scale, small improvements to communication, scheduling, hardware efficiency, or debugging workflows can compound into meaningful research velocity. We are hiring across Compute Infrastructure rather than for a single narrow team, and we use this opening to match strong engineers to the problems where they can have the most leverage. About the Role We are looking for engineers who want to build the compute platform behind OpenAI's research and products. You may not be the strongest in low-level systems, high-performance computing, distributed infrastructure, reliability, CaaS, agent infrastructure, developer platforms, tooling, or the user experience around infrastructure. What matters is that you can reason carefully about complex systems, write durable software, and raise the quality and velocity of the people around you. Depending on your background and interests, you might work close to hardware, close to users, on CaaS and agent infrastructure, or on the control planes and data planes in between. You could help bring new supercomputing capacity online, optimize training workloads from profiler traces and benchmarks, improve NCCL and collective communication behavior, reason about GPUs, NICs, t