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Location: San Francisco, CA | New York City, NY | Seattle, WA 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: Multi-Agent systems are becoming an increasingly important part of how AI is deployed, whether via fast small-model subagents inside a product, or large groups of agents solving very large problems . Training Claude to be maximally effective and safe within large groups is a challenging new area of reinforcement learning, and represents a new axis for scaling test time compute. We are looking for researchers who have experience training multi-agent systems at the largest scale and an appreciation for the incentives and mechanism design that come into play. Responsibilities: Help create and optimize environments and data for model training that maximize Claude’s performance or ease of use on agentic tasks Ideate, develop, and compare the performance of different agent harness configurations (eg memory, context management, communication architectures for agents) Design and implement rigorous quantitative benchmarks for large scale agentic tasks Work with our product org to find solutions to our most vexing challenges in applying agents to our products You may be a good fit if you: Have experience with large-scale RL on language models Have experience training multi-agent systems Enjoy going deeply into the roots of a problem and understanding its foundations, rather than its surface. Have good communication skills and an interest in working with other researchers on difficult tasks Have a passion for making powerful technology safe and societally beneficial Are excited for a mission-driven org with fast-paced, impactful work Representative projects: Design and build reinforcement learning environments to train groups of Claudes how to solve problems together efficiently Design and build agent affordances that unlock new capabilities and scales of agents, while keeping the Bitter Lesson in mind Design and build a novel eval that measures how large teams of agents interact in groups to solve problems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We have created a new career path at Canonical for Performance Engineers who bring exceptional clarity to software performance, correctness and efficiency. We are adding these roles to every engineering team at the company. As an open source platform, we have teams that work at every level of the software stack - from the kernel up through server and desktop applications, all the way to the web. We are adding roles with this focus in every engineering team in the company, to act as drivers of performance engineering skills, tools, culture and insights to our entire product range . We have also created a central performance engineering team, where we will drive shared tools, dashboarding capabilities, measurement frameworks, analytical capabilities and skills. We call this career focus ' percorr ' because we have found that the same deep insights that enable sophisticated performance measurement and design also enable teams to improve their harnesses and frameworks for correctness. Understanding not only the application, but the runtime, the compiler, and the system, all the way down to the CPU, gives an engineer the ability to think creatively and with insight about the right things to measure, and the right ways to verify correctness. We have found that performance engineers will often improve the deepest and trickiest areas of our test harnesses, and unblock their teams to test and measure previously 'dark' aspects of their work. We also have teams that work with every major silicon vendor and cloud, with a particular emphasis on performance optimisation of the entire stack for that architecture, CPU family or hypervisor. Our goal is to ensure that Ubuntu users can select whatever platform they want for their workloads and know they have access to the very best performance and efficiency across the entire stack from kernel to codec. If they wish, we will enable performance and correctness engineers to move between products every two years, so that they have the opportunity to raise the bar for performance in an array of products over time, and also that teams have the benefit of fresh eyes on their processes, thinking, harnesses, dashboards and code. Our performance and correctness leads are expected to be truly exceptional individuals, and also leaders who are confident setting expectations of change, sharing insights and skills, running initiatives and programs. There is no way to move a meaningful codebase without also moving the people behind it. This is a career path for perfectionists and precision artists. Whether you have a particular language focus - C, C++, Rust, Golang, Python, Java, Flutter-Dart or others - or a particular love of the kernel or hardware or CPU instruction set, whether you see yourself as driving perceived user experience through performance or optimising the efficiency of data centers to reduce carbon footprint, this process is the best way to find a role at Canonical that speaks to your precision, rigour, insight and drive. Location : We have teams in every time zone, and can accommodate applications from almost any country. Nice-to-have skills we value Low-level CPU insights and assembly language - understanding cache, registers, vectorization, memory Kernel performance insights - scheduling, context switching, hardware acceleration Distributed systems performance insights - tracing, debugging Compiler level performance insights - profile guided optimization, inlining, assembler Runtime performance insights - Golang, Python, JVM, NodeJS Database performance evaluation - plans, indexing, data modelling, tracing, monitoring Web browser performance insights - JS, web frameworks, tracing, CSS Performance measurement tooling - profiling, eBPF, D-Trace, flamegraphs Benchmarks and performance measurement tools - Phoronix Test Suite, others Test harnesses and capabilities in C, C++, Rust, Python, Golang, NodeJS, JavaScript The role entails Drive software performance and correctness in a specific project Collaborate with colleagues and community around the globe Work on shared tools and infrastructure for performance measurement, analysis and reporting Teach, train and develop skills in your team for performance culture and design Strengthen test capabilities, harnesses and pipelines Analyze systems and code to understand performance and scalability Solve problems directly or through influence, leadership and skills development Review code and technical designs What we are looking for in you Exceptional academic track record from both high school and university Undergraduate degree in Computer Science, Mathematics or Physics Demonstrable personal initiatives to measure and improve performance, efficiency and correctness in code Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation Track record of going above-and-beyond expectations to achieve outstanding results Leadership and commitment to skills development and mentorship Passion for technology evidenced by personal projects and initiatives The work ethic and confidence to shine alongside motivated colleagues Professional written and spoken English with excellent presentation skills Experience with Linux (Debian or Ubuntu preferred) Excellent interpersonal skills, curiosity, flexibility, and accountability Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation Thoughtfulness and self-motivation Result-oriented, with a personal drive to meet commitments Ability to travel internationally twice a year, for company events up to two weeks long What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Remote role Latvia; Remote role Spain; Remote role United Kingdom Who are we At Lokalise, we make it easy and profitable for businesses to expand into new markets. Our AI-powered localization platform helps companies manage both software and marketing content from a single, unified environment — ensuring every team speaks with one voice across every language and channel. By automating workflows, integrating with over 60 tools, and centralizing translation memory and terminology, Lokalise enables product, engineering, and marketing teams to collaborate without friction and launch globally up to 10× faster and at 80% lower cost. Trusted by thousands of businesses across more than 100 countries, Lokalise empowers millions of people worldwide to use digital services in their native languages. Backed by a customer-loved support team, our platform fits seamlessly into your design, development, and content workflows, helping you scale with consistency and control. Location While our company operates exclusively on a remote basis, you must reside and have the legal right to work in one of the following countries: the United Kingdom, Latvia, or Spain. This is a full-time, remote position. Please note that we do not engage on a B2B or contractor basis. About the Team We're looking for an Engineering Manager to lead a cross-functional team in our Product Engineering organization. Each of our engineering teams owns a product domain at Lokalise, from vision to delivery. Teams talk to customers, find out what they need, set their own goals and choose how to solve the problems that matter most. AI is already part of how we build software at Lokalise, and it's changing what great engineering leadership looks like. We're looking for a leader who stays close to the work and understands how AI is changing speed, quality and engineers' day-to-day experience. You'll keep your teams focused on outcomes that matter to our customers and our business, not just on how much gets shipped. For this role, you’ll lead our Editing Experience team. The team owns the tools linguists and reviewers use every day to translate, review and approve content at scale: the translation editor, the review and approval workflow, content management tools and the developer utilities that support them. Together with your Product Manager and Designer, you’ll own the team’s strategy and delivery end to end. What You Will Do Lead, coach and develop your teams of Software Engineers. You'll support their career growth, run performance evaluations, contribute to compensation planning and hire engineers who raise the bar. Stay technically close to the work without becoming a bottleneck. You'll review key designs and pull requests, pair with engineers on tricky problems and take on contributions outside the critical path (such as tooling, prototypes or small fixes). This keeps you in touch with the codebase and your teams' daily reality while they own delivery. Partner with Product Managers and Designers (the Product Triad) to understand our customers deeply and take part in discovery. You'll make sure your teams work on the right problems, putting outcomes ahead of outputs. Connect engineering decisions to business impact. Understand how your domain contributes to customer value, retention and revenue, and use that to guide trade-offs on scope, investment and technical debt. Own your teams' flow of work from start to finish. Track and act on delivery and quality signals (such as cycle time, deployment frequency, change failure rate and recovery time), clear bottlenecks across planning, review, testing and release, and keep cognitive load sustainable. Lead your teams' move to AI-native engineering across the SDLC. Embed AI tools and agentic workflows, measure their real effect on speed, quality and how engineers experience their work, and adapt team practices so faster delivery never costs reliability or maintainability. Champion operational excellence. Drive reliability and quality practices, own the health of the services your teams run and step in as Incident Commander when needed. Own your teams' delivery: set quarterly plans, track progress against the product roadmap and help shape department-wide planning and strategy. What You Must Have 3+ years of recent experience as an Engineering Manager leading software engineering teams, ideally in SaaS product companies. A strong software engineering background, and you're still hands-on today. You can review code and designs credibly, dig into technical issues and contribute to architecture decisions. Proven people leadership: hiring, onboarding, coaching, performance management and helping engineers grow into their next role. A strong product engineering mindset. You've partnered with Product and Design on discovery, worked directly with customers and measured success by customer and business outcomes rather than output. Business acumen. You understand the commercial context, can explain trade-offs in terms of impact and communicate clearly with stakeholders at all levels. Experience using engineering metrics and flow practices (such as DORA metrics, cycle time or WIP limits) to find bottlenecks and improve delivery, quality and team health, without turning metrics into targets. Hands-on experience using AI-assisted development and agentic tools, both in your own work and across a team. You have a clear view of how AI changes delivery speed, code quality, review practices and cognitive load. Experience planning and delivering complex initiatives across several teams predictably, including managing dependencies, risks and incidents. It's a Plus If You Have None of these are required, and we're happy to support you as you learn them on the job. Experience in the localization industry or with translation workflows. Experience leading engineering teams at a product company during a scale-up phase. Experience shipping AI-powered product features, such as LLM-based features, to customers. Experience managing fully remote, distributed teams. Familiarity with developer experience or productivity frameworks, such as SPACE or DevEx. Our Benefits 💰 Competitive salary and employee stock options. 🌍 Fully remote setup with flexible working hours. 🏢 Co-working budget — for those days you want a change from your home office. 🌴 Flexible vacation policy to recharge when you need to. 🖥️ Home office setup budget — monitor, desk, ergonomics, whatever helps you do your best work. 📚 Learning & development budget to grow your skills and career. 🏥 Health insurance to keep you covered. 🧘 Wellness allowance to support your mental and physical well-being. 🤝 Great startup culture — remote but close-knit, with regular retreats and social events to stay connected. We are committed to a culture of inclusion and equal opportunities. Therefore, we welcome applications from people of all gender identities, sexual orientations, personal expressions, relationship, marital, or civil partnership statuses, racial identities, national or ethnic origins, religious beliefs, ages, and disability statuses.

Location: Home based - Worldwide; Office Based - Taipei, Taiwan This role is one of our general tracks. Apply here for all engineering teams at Canonical who work on low-level system technology on autonomous devices across all seniority levels. We hire careful and conscientious engineers who appreciate the challenge of memory, performance, battery and connectivity constrained code that has to work every time in an unreliable and unforgiving world, on x86, ARM or RISC-V silicon. Canonical Ubuntu is the leading Linux for software engineers, desktops, cloud and IoT. We bring open source to the world as a high-performance, safe and secure platform for enterprise computing, software engineering, and connected devices. These smart, connected devices have the potential to transform every industry. Classic Ubuntu – desktop or server – is widely used in embedded systems because of its developer focus and enterprise grade security maintenance. We partner with the world's most prominent silicon companies to optimise Ubuntu on their latest and greatest chips, as well as with major OEMs and ODMs (PC, servers and connected device manufacturers) to ensure that Ubuntu works perfectly on their hardware. But while classic, ‘deb’ based Ubuntu is ideal for developers, it has too much variability for appliance or connected device environments, where you want to know *exactly* what the state of millions or billions of devices might be. So Canonical builds Ubuntu Core, a fully containerised version of Ubuntu that is mathematically precise and rigorously secure. We are working on additional solutions for even smaller devices. We have several teams that focus on open source for embedded environments. We hire outstanding Linux software engineers with a passion for open source, innovation, cutting-edge hardware and software technologies in general. You will be expected to make significant contributions through high-quality design and code, and to develop your technical leadership. These roles include: Ubuntu Core and snapd software development Silicon software and optimisation engineers Kernel driver and hardware enablement engineers Hardware-centric Linux QA Engineers Hardware Certification Engineers Robotics engineers Industrial IoT software engineers Networking software engineers (switching, routing, access and SmartNICs) At Canonical you will have the opportunity to engage with the broader open source community. We're looking for individuals who can help build a thriving community, contribute to a broad range of technologies, and contribute to the deployment of Ubuntu and Ubuntu Core across the widest range of devices. Location: we have remote roles open in every time zone. What your day will look like Based on the first round of interviews we identify specific teams where you might be an excellent fit, and conduct second round interviews with those teams. Our engineers: Work with the latest Linux kernel and open source technologies Deliver Ubuntu for the latest IoT and server-class hardware platforms Integrate and maintain device-oriented software stacks Write high-quality, well-designed software Collaborate proactively with other globally distributed teams Display technical leadership internally and within our external communities Help our customers ship their apps and SDKs on Ubuntu Build device OS images with Ubuntu Core, Desktop and Server Optimise the Ubuntu kernel and libraries for silicon-specific capabilities Debug issues and produce high-quality code to fix them Contribute to technical documentation to make it the best of its kind Discuss ideas and collaborate on finding good solutions Participate as technical lead on complex customer engagements involving complete system architectures from cloud to edge Work usually from home, with global travel 2 to 4 weeks for company events What we are looking for in you An exceptional academic track record from both high school and university Drive and a track record of going above-and-beyond expectations Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path Experience with Linux (Debian or Ubuntu preferred) Passion for Linux or embedded systems software (e.g. kernel, graphics, Yocto) Fluency in at least one of Golang, C, C++, or Rust Professional written and spoken English Excellent interpersonal skills, curiosity, flexibility, and accountability Passion, thoughtfulness, and self-motivation Excellent communication and presentation skills Result-oriented, with a personal drive to meet commitments Ability to travel twice a year, for company events up to two weeks each Additional skills that you might also bring Experience with Debian/Ubuntu or other distro packaging Understanding of build systems and toolchains, including for cross-compilation Experience with firmware, uboot, UEFI, ACPI, DSDT, or boot loaders Experience with power management on PCI ASPM, SATA ALPM, low power profiles Computer architecture knowledge of x86, ARM, RISC-V Experience in board design, bring up, and validation Experience with electrical engineering design tools (e.g. schematic capture, layout) Familiarity with Ubuntu development model Performance engineering and security experience Shell or Python scripting skills What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT Own the architecture and technical direction of crypto market connectivity, supporting QRT’s trading activities across digital asset exchanges and liquidity providers. Lead the design, development, validation, deployment and production support of low-latency trading gateways and market data handlers for crypto venues. Oversee market data ingestion, sequencing, normalisation, order book construction and downstream distribution across fragmented venues with differing protocols and data standards. Own exchange integrations, connectivity upgrades and venue onboardings, including gap analysis, implementation and testing, working directly with exchanges and third-party providers. Develop frameworks for data quality monitoring, gap detection, reconciliation, recovery and replay, addressing inconsistent schemas and varying levels of data quality across venues. Drive improvements in latency, throughput, resilience and operational stability within a 24/7 trading environment, defining technical KPIs and operational metrics to measure progress. Partner with traders, quantitative researchers and developers to deliver reliable market data and execution connectivity that support crypto trading strategies. Scale connectivity systems to support new exchanges, digital assets, spot and derivatives products, and evolving market structures. Work closely with infrastructure, operations, compliance and risk teams to ensure effective integration with upstream and downstream systems. Mentor and develop engineers, establishing high standards for technical ownership, code quality and delivery. Your present skillset Significant experience building low-latency trading infrastructure, with strong experience in crypto exchange connectivity or digital asset trading systems. Expert-level C++ development experience on Linux, alongside strong Python and bash scripting skills. Deep expertise in exchange trading gateways, market data feed handlers or connectivity platforms. Strong understanding of crypto exchange architecture and connectivity across major venues such as Binance, OKX, Bybit etc. Experience with exchange APIs and protocols, including WebSocket, REST, FIX and binary protocols where available. Experience designing and implementing real-time distributed systems, with strong knowledge of networking, multithreading, concurrency and memory optimisation. Strong understanding of market data sequencing, normalisation, order book construction and replay mechanisms. Experience implementing recovery and reconciliation processes to manage unreliable data sources, connectivity interruptions and exchange-specific behaviours. Good knowledge of crypto market structure, liquidity fragmentation, spot markets and derivatives, including perpetual futures. Proven ability to lead technical initiatives, influence architectural decisions and mentor engineers while remaining hands-on. A track record of delivering production systems with measurable improvements in performance, reliability or trading capability. Excellent communication and problem-solving skills, with the ability to collaborate effectively across engineering, trading, quantitative research and operational teams. Experience with decentralised exchange connectivity or traditional market access systems would be advantageous. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.