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Who we are 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 Infrastructure is responsible for the reliability, scale, performance, and cost of Stripe's systems and the productivity and sentiment of Stripe's people. You may work on a wide variety of critical business areas including: Core Infrastructure—We're the home for Stripe's critical tier0 infrastructure systems (Compute, Networking, DocumentDB, Distributed Caching and High assurance engineering). We build the foundational platform for Stripe products and services to allow them to operate at scale. We drive reliability, availability, efficiency, and scalability of these systems. Developer Infrastructure—We're responsible for the productivity of all developers at Stripe. Ensure Stripe's engineers have a reliable, fast, and easy-to-use inner dev loop to maximize productivity while building everything from low-latency microservices to large-scale data pipelines and machine learning models. Data Infrastructure—We're responsible for offering data serving infrastructure spanning across data warehouse analytics, streaming analytics, and search capabilities. The stack is supported by a collection of internally developed large-scale distributed services and several popular open-source technologies like Trino/Presto, Apache Pinot, Hive Metastore, ElasticSearch etc. The systems we own support all of the data serving needs of high-scale services and thousands of individual Stripes across the company. Admin Platform—We empower Stripes to quickly

Who we are 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 The Secrets Infrastructure team provides the cryptographic identity and secrets management foundation for Stripe. We build and operate the internal certificate authority that authenticates every person and service at Stripe, and the secrets platform that manages everything from financial partner credentials to infrastructure access keys. We build foundational security infrastructure at scale: our certificate authority issues mTLS client certificate identities for thousands of services and engineers, and our secrets platform and libraries protect access to critical financial systems and external partners across all of Stripe’s codebases, services, and platforms. The technical challenges include building systems with 99.99%+ availability, implementing TLS workload identity and attestation logic for new platforms, and designing secret management tools that are both secure and user-friendly. Our infrastructure must be both reliable and developer-friendly—we maintain libraries in Go, Java, Ruby, and Python. As a small team responsible for critical systems, engineers take on meaningful ownership. Through collaboration with teams across Stripe, you'll build and set direction for the authentication and secrets management underpin identity in distributed systems at scale. Secrets Infrastructure is a fully remote team, with a small presence in the Seattle and New York City offices. We pride ourselves on a friendly, technically rigorous, and supp

Who we are 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 The Core Infrastructure team at Stripe is entrusted with developing and maintaining the infrastructure utilized by all product teams to create services that underpin all Stripe business operations. This includes defining and executing a vision that ensures industry-leading scale and availability, and actively balancing these concerns with efficiency, latency, and organizational health. We are committed to advancing new distributed services and scaling existing technologies across the industry, in close collaboration with various teams to support their current and future demands, and various external partners in the open source community. Our infrastructure supports businesses worldwide by processing payments, managing marketplaces, assisting entrepreneurs in launching internet businesses, and more. The Infrastructure organization comprises teams responsible for operating system components, databases, caching, high availability, disaster recovery, cloud infrastructure, Linux servers, container orchestration, mesh networking, service discovery, change management, and network edge infrastructure. What you'll do As a Software Engineer on the Infrastructure team, you will be part of a team that is in charge of building the core infrastructure used by product teams which support our business. Examples include control plane services responsible for managing our primary database and cache infrastructure as well as building automation around managing

Who we are 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 The Product Security Data Platforms team is a newly established engineering team within Stripe Security. Our mission is to build the foundational infrastructure that provides our users with unprecedented visibility into the security posture of their Stripe integration. While Stripe is renowned for industry-leading payment protection, we are expanding our focus to provide a comprehensive security telemetry platform that helps businesses protect their entire digital ecosystem on Stripe. As a founding member of this team, you'll architect a large-scale customer-facing security data pipeline and presentation layer. Much like modern security observability platforms and data lakes that have transformed cloud infrastructure, we're building an API-first service that transforms massive streams of behavioral data into actionable security intelligence. This team operates at the intersection of high-throughput data engineering and cybersecurity, creating the systems that will allow the world’s most sophisticated companies to monitor, detect, and respond to threats in real time. What you’ll do As a Senior Software Engineer on this founding team, you'll lead the technical design and implementation of our core security data pipelines. You'll define how we capture security signals, process them at scale, and deliver them to our users through robust, developer-friendly interfaces. If you have security domain knowledge, you'll have opportunities to help shape

Who we are 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 The Product Security Data Platforms team is a newly established engineering team within Stripe Security. Our mission is to build the foundational infrastructure that provides our users with unprecedented visibility into the security posture of their Stripe integration. While Stripe is renowned for industry-leading payment protection, we are expanding our focus to provide a comprehensive security telemetry platform that helps businesses protect their entire digital ecosystem on Stripe. You'll contribute to a large-scale customer-facing security data pipeline and presentation layer. Much like modern security observability platforms and data lakes that have transformed cloud infrastructure, we're building an API-first service that transforms massive streams of behavioral data into actionable security intelligence. This team operates at the intersection of high-throughput data engineering and cybersecurity, creating the systems that will allow the world's most sophisticated companies to monitor, detect, and respond to threats in real time. What you’ll do As a Software Engineer on this founding team, you'll contribute to the technical design and implementation of our core security data pipelines. You'll help build the systems that capture security signals, process them at scale, and deliver them to users through robust, developer-friendly interfaces. This is an opportunity to grow quickly, make a meaningful impact from day one, and help shape a p

Who we are 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 Tax compliance is a hard problem. When millions of payments flow through a marketplace or platform, the rules for what gets reported, to whom, in which format, and by when are complex, high-stakes, and vary by country. The Connect Tax Reporting team builds products to help businesses collect and verify tax information, prepare and deliver tax forms, and manage reporting obligations across jurisdictions. This includes 1099 reporting in the US and digital platform reporting across the EU, Australia, Canada, the UK, and other regions. This is a domain where correctness, reliability, and user trust matter deeply. A late filing, an incorrect form, or a missed reporting threshold can create regulatory risk and erode trust with platforms and their sellers. Our systems handle high-volume seasonal workflows, support complex country-specific rules, and remain dependable under fixed filing deadlines. What you’ll do You’ll build products and systems that simplify tax reporting for platforms and their users. You’ll take projects from discovery and technical design through implementation, launch, and operation. Your work may include improving tax information collection, building APIs and data pipelines, automating reporting processes, and strengthening the reliability of production systems. You’ll collaborate with product managers, tax operations, support, and engineers across Stripe. AI-assisted development will be part of your day-to-day work as you des

About the Team ChatGPT relies on a large and growing GPU fleet to serve inference workloads reliably and efficiently. Our team builds the software, tooling, and operational systems that help manage this fleet at scale. We work across production engineering, distributed systems, capacity management, and operational automation to improve reliability, reduce manual work, and make better use of available compute. About the Role We are looking for a software engineer with experience building or operating large-scale production systems. You will develop the systems that help manage the GPU fleet powering ChatGPT, including tooling for fleet health, capacity planning, operational automation, and incident response. You will work closely with infrastructure, research, and product engineering teams to improve reliability, developer productivity, and compute utilization. This role is a good fit for engineers who enjoy solving complex operational problems and building software that makes production infrastructure easier to run at scale. In This Role, You Will Build software and internal tools to manage large-scale GPU infrastructure supporting ChatGPT inference. Develop systems for capacity planning, fleet health monitoring, and resource utilization. Automate operational workflows, including incident detection, diagnosis, and response. Identify and address bottlenecks affecting fleet reliability, scalability, and performance. Partner with infrastructure, research, and product engineering teams to improve the compute platform. You Might Thrive in This Role If You Have experience operating large-scale production infrastructure, GPU clusters, or other compute-intensive distributed systems. Have a background in production engineering, site reliability engineering, infrastructure engineering, or platform engineering. Have built software that automates operational workflows and reduces manual work. Have worked with distributed infrastructure, cluster orchestration, or large-scale int

About the Team We’re hiring a Developer Productivity engineer to support OpenAI’s Inference Runtime teams. These teams own the systems responsible for serving models reliably, efficiently, and safely across Codex, ChatGPT, API, and internal research workloads. We’re hiring a Developer Productivity Engineer to help scale the engineering systems, safeguards, and developer workflows that enable our teams to move quickly without compromising reliability or performance. This role sits at the intersection of developer experience, CI/CD infrastructure, release engineering, production readiness, and inference systems reliability. You’ll work on the tooling and operational foundations that support model launches, inference optimizations, cloud provider integrations, and large-scale deployments across a rapidly evolving inference stack. About the Role We’re looking for an autonomous, high-ownership engineer who cares deeply about making other engineers faster, safer, and more confident. A major focus of this role will be improving the tooling and infrastructure around deploy gates for inference engine images. These systems help ensure that every image released to production and research is correct, numerically sound, free of regressions, and performant across key metrics like time-to-first-token (TTFT) and time-between-tokens (TBT). You’ll help harden the systems that catch issues before they reach production, reduce noise from flaky or infrastructure-related test failures, and improve automation around triage, ownership, debugging, and escalation when failures occur. You’ll also work on improving observability, rollout safety, release automation, and developer self-service tooling across a rapidly evolving inference stack. This is not generic internal tools work. The systems you build directly impact OpenAI’s ability to support new model launches, safely ship inference optimizations to the world, onboard new infrastructure providers, and operate one of the largest and most p

This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride. Designs and delivers scalable software solutions, applying strong engineering practices and technical judgment. Plans and executes defined projects with minimal guidance while collaborating across functions. This section contains a list of 5 to 8 primary responsibilities of this role that account for 5% or more of the work. The incumbent will perform other duties assigned. Plan and deliver defined software projects, including schedules, dependencies, and coordination with development and support teams. Design, architect, develop, test, and maintain scalable .NET applications, APIs, and microservices. Deve

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. AI Algorithms Specialist (PHD Holder Only) 5 Work Days Per Week Office Near Tai Seng MRT, Singapore Medical Benefits Provided Entitled to Yearly Bonus & Performance Bonus Job Requirements PHD Holder in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. At least 2-5 years of workplace working experiences is preferable for this post. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. Strong programming skill in Python, C / C++, proficient in mathematical / statistical concepts and exceptional coding skills Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a p

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Join forces with us on our mission to build a better IT industry. We are currently looking for a highly skilled Embedded Software Engineer to our team in Stockholm or Malmö, Sweden. Please note that applicants must live in Sweden and hold a valid work permit at the time of application to be considered for this role. Responsibilities: Design, implement, and debug embedded firmware for 802.15.4 Thread-based devices (border routers, RCPs, sleepy/end devices) running on an RTOS and embedded Linux Integrate and maintain the OpenThread stack and Matter commissioning/data-model layers across the product line Work closely with hardware engineers on SoC/MCU bring-up and debug radio timing, RF, and low-power issues at the driver level Implement and troubleshoot Thread border routing, SRP, and network commissioning/joining flows, including bridging to Wi-Fi/Ethernet backbones Diagnose firmware-level issues using JTAG/SWD debuggers, logic analyzers, and protocol sniffers/packet captures Write and maintain unit and integration tests; participate in code review Contribute to OTA update pipelines and manufacturing/production test tooling Requirements: Strong proficiency in C++ (99 % code base) and C for embedded systems Hands-on experience with an RTOS (FreeRTOS, Zephyr, or similar) Solid MCU debugging skills Solid networking fundamentals, incl

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Job Overview: We are looking for a Senior Engineer to join the FGA DevEx team and help evolve our end to end developer experience across both OSS and SaaS. This team owns the SDKs in Go, JavaScript, .NET, Python, Java and other languages, along with CLI workflows, IDE integrations, GitHub automation, developer documentation, and release strategy. All development is done in the open as open source, and we actively welcome and review community contributions. Our guiding principle is One developer experience, many deployment models. As a Senior Engineer, you will take ownership of significant portions of the SDK and tooling ecosystem, ensure high quality implementations across languages, and contribute to a consistent and reliable developer experience. Responsibilities: Maintain and enhance existing SDKs for FGA in Go, JavaScript, .NET, Python, and Java, leveraging our SDK generator framework. Customize and refine SDK templates and wrappers to ensure consistency across languages and support configuration overrides such as store ID, authorization model ID, headers, and parallelization limits. Implement and improve core SDK features including client credentials authentication flows, robust error mapping, retry logic with jitter, and rate limiting safeguards. Implement advanced capabilities such as BatchCheck, ListRelations, and non transactional write operations with appropriate parallelization and performance considerations. Contribute to the SDK generator tool

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Join forces with us on our mission to build a better IT industry. We are currently looking for a highly skilled Android BSP Engineer to our team in Stockholm or Malmö, Sweden. Please note that applicants must live in Sweden and hold a valid work permit at the time of application to be considered for this role. Responsibilities: Bring up Android on new custom hardware, from initial kernel boot through a fully functioning Android system Develop and customize the Android platform and board support package Configure and maintain the Linux kernel, device tree, boot configuration, and Android device configuration Integrate the Android software stack with custom hardware Integrate, port, develop, and maintain drivers and interfaces for RFID readers, sensors, and other peripherals Develop and integrate Android HALs, native services, system services, and application-facing APIs Configure Android init services, device permissions, SELinux policies, and VINTF manifests Diagnose problems across the bootloader, kernel, drivers, HALs, Android framework, and applications Debug hardware and software integration issues using logs, traces, test equipment, and hardware-debugging tools Optimize boot time, system performance, stability, power consumption, and reliability Build, configure, flash, and maintain Android system images Support system valid

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. AI Algorithms Engineer (PHD Holder Only) 5 Work Days Per Week Office Near Tai Seng MRT, Singapore Medical Benefits Provided Entitled to Yearly Bonus & Performance Bonus Job Requirements: PHD Holder in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. Strong programming skill in Python, C / C++, proficient in mathematical / statistical concepts and exceptional coding skills Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus. Strong logical thinking and problem-solving ability, able to independen

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. AI Algorithms Engineer (PHD Only) 5 Work Days Per Week Office Near to Kaki Bukit MRT, Singapore Relocate Near Tai Seng MRT in Mid-August 2026 Medical & Dental Benefits Provided Entitled to Yearly Bonus & Performance Bonus Job Requirements: PHD Holder in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations . Strong programming skill in Python, C / C++ , proficient in mathematical / statistical concepts and exceptional coding skills Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM &nbs