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Build reusable components, shared modules, and scalable frontend architecture. Translate UI/UX designs into high-quality, performant implementations. Optimize applications for performance, scalability, and responsiveness. Ensure cross-browser compatibility and responsive design. Improve frontend observability, performance metrics, and user experience. Work closely with product and design teams to deliver seamless user experiences.</p>\n<p><strong>Backend Development</strong></p>\n<p>Design and implement APIs supporting frontend features. Contribute to backend services powering conversations and workflow systems. Work with databases and distributed systems at scale. Debug and resolve production issues across frontend and backend layers. Improve reliability, scalability, and performance of backend components.</p>\n<p><strong>Engineering Excellence</strong></p>\n<p>Own features from development through deployment and monitoring. Write clean, maintainable code with strong test coverage. 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Exposure to or experience with Clojure is a strong plus.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_2f4e2168-a09","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Unknown"},"x-apply-url":"https://apply.workable.com/j/EDCF8E8486","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["JavaScript","ReactJS","HTML5","CSS3","state management patterns","Webpack","Babel","frontend performance optimisation techniques","cross-browser compatibility challenges","reusable component libraries","scalable UI architectures","REST APIs","distributed systems","backend architecture","server-side development","data stores","Linux/Unix environments","CLI tools","computer science fundamentals","data structures","algorithm complexity","Git","distributed version control workflows","unit and integration tests","debugging and problem-solving skills","verbal and written communication skills"],"x-skills-preferred":["CSS frameworks","large-scale frontend applications","performance benchmarking and observability tools","event-driven systems","real-time platforms","functional programming concepts","Clojure"],"datePosted":"2026-04-24T13:06:48.181Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Unknown"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"JavaScript, ReactJS, HTML5, CSS3, state management patterns, Webpack, Babel, frontend performance optimisation techniques, cross-browser compatibility challenges, reusable component libraries, scalable UI architectures, REST APIs, distributed systems, backend architecture, server-side development, data stores, Linux/Unix environments, CLI tools, computer science fundamentals, data structures, algorithm complexity, Git, distributed version control workflows, unit and integration tests, debugging and problem-solving skills, verbal and written communication skills, CSS frameworks, large-scale frontend applications, performance benchmarking and observability tools, event-driven systems, real-time platforms, functional programming concepts, Clojure"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_789f3aff-34f"},"title":"Principal Software Engineer","description":"<p>The Microsoft Content team powers AI-driven experiences for more than 1 billion users across Copilot, Bing, Edge, Windows, and Xbox. We are seeking a Principal Software Engineer to define and lead the technical direction for the next generation of intelligent, large-scale content platforms.</p>\n<p>In this role, you will be responsible for shaping multi-year technical strategy, driving architectural coherence across organisations, and building systems that serve as foundational platforms for multiple product surfaces. You will lead the design and evolution of distributed backend systems, cloud-native infrastructure, and data platforms that operate at global scale with strict requirements for availability, latency, security, and cost efficiency.</p>\n<p>These systems form the backbone for intelligent user experiences and must be designed for long-term extensibility and operational excellence. Building on this foundation, you will guide the integration of LLM-powered capabilities into production systems,defining patterns for retrieval, orchestration, evaluation, and responsible AI. You will ensure these capabilities are not isolated features, but deeply embedded, reliable, and scalable parts of the platform.</p>\n<p>This role requires exceptional technical judgment, the ability to operate in highly ambiguous spaces, and a track record of influencing across teams and organisations. You will work closely with engineering leaders, product leaders, and applied scientists to align technical investments with long-term business outcomes.</p>\n<p>Microsoft’s mission is to empower every person and every organisation on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realise our shared goals. Each day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_789f3aff-34f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-software-engineer-56/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$163,000 - $296,400 per year","x-skills-required":["C","C++","C#","Java","JavaScript","Python","Cloud-native architecture","Service-oriented or microservices-based design","Backend systems","Distributed systems","Data modeling","Performance optimisation"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:12:35.006Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, C#, Java, JavaScript, Python, Cloud-native architecture, Service-oriented or microservices-based design, Backend systems, Distributed systems, Data modeling, Performance optimisation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":163000,"maxValue":296400,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c7947b6b-39e"},"title":"Staff Software Engineer- Public Sector","description":"<p>At Databricks, we are cloud maximalists, running our platform across every region of every major cloud provider. 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From optimising massive data storage layers to architecting low-latency microservices that must function in disconnected regions, you will own the end-to-end lifecycle of mission-critical code.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Architecting scalable systems using Scala, Java, Go, C++/C or similar</li>\n<li>Designing and implementing highly available backend services in Java, Scala, or Go that power our Data Intelligence Platform across sovereign and air-gapped clouds</li>\n<li>Solving complex architectural trade-offs around concurrency, storage, and networking to ensure the platform remains resilient in high-consequence public sector environments</li>\n<li>Driving &#39;zero-waste&#39; compute initiatives, optimising our engine and services to perform in resource-constrained or specialised regions (e.g., GovCloud)</li>\n<li>Partnering with Production Engineering to ensure all backend services meet the highest security standards and compliance guardrails while maintaining high availability</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c7947b6b-39e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8517555002","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$180,500-$248,150 USD","x-skills-required":["Scala","Java","Go","C++/C","Distributed Systems","Concurrency","Performance Optimisation","Security Standards","Compliance Guardrails"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:07:41.548Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Virginia"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Scala, Java, Go, C++/C, Distributed Systems, Concurrency, Performance Optimisation, Security Standards, Compliance Guardrails","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180500,"maxValue":248150,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9b424955-5e0"},"title":"Senior Software Engineer, Growth","description":"<p><strong>The Mission</strong></p>\n<p>Descript is revolutionising how traditional editing methodologies and AI technologies come together in every part of the creation process (recording, transcribing, editing, and sharing) to make it faster and easier than ever to create high-quality content.</p>\n<p><strong>What You&#39;ll Work On</strong></p>\n<p>Growth at Descript spans the full user journey,from initial signup to the point where customers can’t imagine working without us. This isn’t a role only focused on small tweaks; it’s about building systems that redefine how we grow.</p>\n<p><strong>Build the systems that makes growth possible</strong></p>\n<ul>\n<li>Design and own the experimentation playbook , the frameworks, tooling, and best practices that let the whole team run faster, cleaner tests</li>\n</ul>\n<ul>\n<li>Architect personalisation and user journey systems that adapt the product experience based on who someone is and what they&#39;re trying to do</li>\n</ul>\n<ul>\n<li>Build the data pipelines and instrumentation that give us a real-time window into what&#39;s working</li>\n</ul>\n<p><strong>Run the experiments that move the needle</strong></p>\n<ul>\n<li>Own A/B tests end-to-end: form the hypothesis, instrument the feature, ship it, analyse the results, make the call , repeat</li>\n</ul>\n<ul>\n<li>Own activation and onboarding flows , the early moments that turn a new signup into someone who gets it and stays</li>\n</ul>\n<ul>\n<li>Help establish the metrics culture , work with Data and Product to define what we&#39;re optimising for, and build toward it</li>\n</ul>\n<p><strong>Shape the product, not just the code</strong></p>\n<ul>\n<li>Build full-stack across frontend and backend: snappy React UI, the APIs behind it, and everything in between</li>\n</ul>\n<ul>\n<li>Partner with Product and Design to define what we&#39;re building, not just how we build it</li>\n</ul>\n<ul>\n<li>Bring a systems thinker&#39;s perspective to the team to enhance the playbook , your judgement will carry real weight</li>\n</ul>\n<p><strong>What You Bring</strong></p>\n<p><strong>Required</strong></p>\n<ul>\n<li>5+ years of professional software engineering experience (senior) or 8+ years (staff/lead)</li>\n</ul>\n<ul>\n<li>Strong command of TypeScript/JavaScript and React , you&#39;re the person others come to with hard frontend questions</li>\n</ul>\n<ul>\n<li>Deep familiarity with web fundamentals: HTML, CSS, REST APIs, performance optimisation</li>\n</ul>\n<ul>\n<li>Experience running A/B tests and product experiments , you understand what a good test looks like and what the results actually mean</li>\n</ul>\n<ul>\n<li>A genuine hunger to connect engineering work to business outcomes , you care about the metric, not just the merge</li>\n</ul>\n<ul>\n<li>Comfort with ambiguity: you can define the problem, not just solve one that&#39;s handed to you</li>\n</ul>\n<ul>\n<li>Strong written and verbal communication , you can explain a trade-off to an engineer and a result to a stakeholder</li>\n</ul>\n<p><strong>Why This Role, Why Now</strong></p>\n<p>The team exists, the product is genuinely loved, and the opportunity is wide open. This isn&#39;t a &#39;maintain what&#39;s working&#39; role , it&#39;s a &#39;figure out what works, then scale it&#39; role. If you want to own the full arc from idea to impact, and work on a product that creators actually use, this is it.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous healthcare package</li>\n</ul>\n<ul>\n<li>401k matching programme</li>\n</ul>\n<ul>\n<li>Catered lunches</li>\n</ul>\n<ul>\n<li>Flexible vacation time</li>\n</ul>\n<p><strong>Fun fact about me: I love pineapple on pizza.</strong></p>\n<p>I am excited to apply for the Senior Software Engineer, Growth position at Descript. With my passion for building scalable systems and my experience in running A/B tests and product experiments, I believe I would be a great fit for this role. I am looking forward to discussing my application and how I can contribute to the growth of Descript.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9b424955-5e0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Descript","sameAs":"https://descript.com/","logo":"https://logos.yubhub.co/descript.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/descript/jobs/7683752003","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190,000-$245,000/year","x-skills-required":["TypeScript","JavaScript","React","HTML","CSS","REST APIs","performance optimisation","A/B testing","product experiments"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:32.186Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"TypeScript, JavaScript, React, HTML, CSS, REST APIs, performance optimisation, A/B testing, product experiments","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190000,"maxValue":245000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b00b781c-eba"},"title":"Senior Software Engineer - Database Engine Internals","description":"<p>We&#39;re seeking a Senior Software Engineer to join our team in designing next-generation systems for database engine internals. 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Functions, notebooks).</li>\n<li>Identify performance bottlenecks, technical debt, and governance gaps across data pipelines and application layers.</li>\n<li>Lead Ontology governance and design reviews, acting as a gatekeeper for all schema changes (Object Types, Links, Properties, Actions).</li>\n<li>Define and document target data architectures (ingestion, transformation, and consumption layers).</li>\n<li>Establish coding standards, naming conventions, repository structures, and Function versioning policies.</li>\n<li>Enforce code reviews and technical validation before production deployment through Foundry Branching and Proposal workflows.</li>\n<li>Define and implement a structured testing strategy (unit tests for Functions, integration tests, data quality checks, pipeline expectations).</li>\n<li>Design and improve CI/CD pipelines and Dev/Test/Prod promotion processes using Foundry Marketplace/DevOps.</li>\n<li>Automate deployments, rollbacks, and environment configurations.</li>\n<li>Create and maintain architecture documentation (ADRs, data lineage diagrams, Ontology schemas, data flow diagrams).</li>\n<li>Design reusable Workshop component libraries, custom widgets, and Slate application patterns.</li>\n<li>Design and validate new platform solutions aligned with strategy, security, and governance requirements.</li>\n<li>Mentor the development team on architectural thinking and platform best practices (40% hands-on coding, 60% architecture/leadership).</li>\n</ul>\n<p><strong>Your Profile:</strong></p>\n<ul>\n<li>Master’s degree in Computer Science, Data Engineering, or a related field.</li>\n<li>5+ years of experience in data engineering or platform architecture roles.</li>\n<li>Strong expertise in modern data platforms (Databricks, Snowflake, AWS Glue, Azure Synapse, or similar). Foundry experience is strongly preferred but not required.</li>\n<li>Advanced skills in Python (PySpark), SQL (Spark SQL), and TypeScript for backend logic and application development.</li>\n<li>Experience with distributed data processing (Spark architecture, partitioning strategies, performance optimisation).</li>\n<li>Strong understanding of relational databases (PostgreSQL, Oracle, or similar).</li>\n<li>Experience with CI/CD workflows, Git branching strategies, and automated testing in data environments.</li>\n<li>Solid experience in end-to-end ETL and data transformation processes.</li>\n<li>Proven experience in performance optimisation and scalable architecture design.</li>\n<li>Experience in defining development standards, interface contracts, and engineering best practices.</li>\n<li>Hands-on coding mindset: must write production code daily, not only review or document.</li>\n<li>Structured, analytical, and documentation-oriented approach.</li>\n<li>Strong communication and technical leadership skills, with very good proficiency in English and French.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>A role with true technical ownership: architecture, scaling, and governance decisions that directly impact production AI solutions.</li>\n<li>Complex projects that go beyond “just pipelines” – covering big data processing and large-scale ML/DL deployment.</li>\n<li>Opportunities to deepen your expertise in Databricks, cloud-native ML, and MLOps.</li>\n<li>A team where your input and technical decisions truly matter.</li>\n<li>A competitive package and benefits.</li>\n</ul>\n<p><strong>How to Apply:</strong></p>\n<p>If you have these qualifications and are looking for a new challenge, we encourage you to apply to discuss it further!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_42c9cfa4-8e3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"AVL","sameAs":"https://jobs.avl.com","logo":"https://logos.yubhub.co/jobs.avl.com.png"},"x-apply-url":"https://jobs.avl.com/job/Sala-Al-Jadida-Data-Platform-Engineer/1365823133/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Databricks","Foundry","Python","SQL","TypeScript","Spark","PostgreSQL","CI/CD","Git","ETL","performance optimisation","scalable architecture design"],"x-skills-preferred":["cloud-native ML","MLOps"],"datePosted":"2026-03-09T09:29:56.618Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sala Al Jadida, MA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"Databricks, Foundry, Python, SQL, TypeScript, Spark, PostgreSQL, CI/CD, Git, ETL, performance optimisation, scalable architecture design, cloud-native ML, MLOps"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_173381a1-8d0"},"title":"Software Engineer, Sandboxing (Systems)","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;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.</p>\n<p><strong>Responsibilities:</strong></p>\n<p>We are seeking a Linux OS and System Programming Subject Matter Expert to join our Infrastructure team. In this role, you&#39;ll work on accelerating and optimising our virtualisation and VM workloads that power our AI infrastructure. Your expertise in low-level system programming, kernel optimisation, and virtualisation technologies will be crucial in ensuring Anthropic can scale our compute infrastructure efficiently and reliably for training and serving frontier AI models.</p>\n<ul>\n<li>Optimise our virtualisation stack, improving performance, reliability, and efficiency of our VM environments</li>\n<li>Design and implement kernel modules, drivers, and system-level components to enhance our compute infrastructure</li>\n<li>Investigate and resolve performance bottlenecks in virtualised environments</li>\n<li>Collaborate with cloud engineering teams to optimise interactions between our workloads and underlying hardware</li>\n<li>Develop tooling for monitoring and improving virtualisation performance</li>\n<li>Work with our ML engineers to understand their computational needs and optimise our systems accordingly</li>\n<li>Contribute to the design and implementation of our next-generation compute infrastructure</li>\n<li>Share knowledge with team members on low-level systems programming and Linux kernel internals</li>\n<li>Partner with cloud providers to influence hardware and platform features for AI workloads</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have experience with Linux kernel development, system programming, or related low-level software engineering</li>\n<li>Understand virtualisation technologies (KVM, Xen, QEMU, etc.) and their performance characteristics</li>\n<li>Have experience optimising system performance for compute-intensive workloads</li>\n<li>Are familiar with modern CPU architectures and memory systems</li>\n<li>Have strong C/C++ programming skills and ideally experience with systems languages like Rust</li>\n<li>Understand Linux resource management, scheduling, and memory management</li>\n<li>Have experience profiling and debugging system-level performance issues</li>\n<li>Are comfortable diving into unfamiliar codebases and technical domains</li>\n<li>Are results-oriented, with a bias towards practical solutions and measurable impact</li>\n<li>Care about the societal impacts of AI and are passionate about building safe, reliable systems</li>\n</ul>\n<p><strong>Strong candidates may also have experience with:</strong></p>\n<ul>\n<li>GPU virtualisation and acceleration technologies</li>\n<li>Cloud infrastructure at scale (AWS, GCP)</li>\n<li>Container technologies and their underlying implementation (Docker, containerd, runc, OCI)</li>\n<li>eBPF programming and kernel tracing tools</li>\n<li>OS-level security hardening and isolation techniques</li>\n<li>Developing custom scheduling algorithms for specialised workloads</li>\n<li>Performance optimisation for ML/AI specific workloads</li>\n<li>Network stack optimisation and high-performance networking</li>\n<li>Experience with TPUs, custom ASICs, or other ML accelerators</li>\n</ul>\n<p><strong>Representative projects:</strong></p>\n<ul>\n<li>Optimising kernel parameters and VM configurations to reduce inference latency for large language models</li>\n<li>Implementing custom memory management schemes for large-scale distributed training</li>\n<li>Developing specialised I/O schedulers to prioritise ML workloads</li>\n<li>Creating lightweight virtualisation solutions tailored for AI inference</li>\n<li>Building monitoring and instrumentation tools to identify system-level bottlenecks</li>\n<li>Enhancing communication between VMs for distributed training workloads</li>\n</ul>\n<p><strong>Deadline to apply:</strong></p>\n<p>None. Applications will be reviewed on a rolling basis.</p>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong></p>\n<p>We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</p>\n<p><strong>Location-based hybrid policy:</strong></p>\n<p>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.</p>\n<p><strong>Visa sponsorship:</strong></p>\n<p>We do sponsor visas! However, we aren&#39;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.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong></p>\n<p>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&#39;re interested in this work.</p>\n<p><strong>Your safety matters to us.</strong></p>\n<p>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&#39;re ever unsure about the authenticity of an email or a request, please reach out to us directly.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_173381a1-8d0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5025591008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$300,000 - $405,000 USD","x-skills-required":["Linux kernel development","System programming","Low-level software engineering","Virtualisation technologies","Kernel optimisation","C/C++ programming","Rust programming","Linux resource management","Scheduling","Memory management"],"x-skills-preferred":["GPU virtualisation","Cloud infrastructure","Container technologies","eBPF programming","OS-level security hardening","Custom scheduling algorithms","Performance optimisation","Network stack optimisation","TPUs","Custom ASICs"],"datePosted":"2026-03-08T14:03:08.579Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Linux kernel development, System programming, Low-level software engineering, Virtualisation technologies, Kernel optimisation, C/C++ programming, Rust programming, Linux resource management, Scheduling, Memory management, GPU virtualisation, Cloud infrastructure, Container technologies, eBPF programming, OS-level security hardening, Custom scheduling algorithms, Performance optimisation, Network stack optimisation, TPUs, Custom ASICs","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":300000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_139cd1f4-231"},"title":"Software Engineer, Compute Efficiency","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;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.</p>\n<p>At Anthropic, we are building some of the most complex and large-scale AI infrastructure in the world. As that infrastructure scales rapidly, so does the imperative to optimise how we use it. As a Software Engineer for Compute Efficiency on the Capacity team, you will play a central role in making our systems more performant, cost-effective, and sustainable—without compromising reliability or latency.</p>\n<p>You will work across the full infrastructure stack, from cloud platforms and networking to application-level performance, and will bridge the gap between high-level research needs and low-level hardware constraints to build the most efficient AI infrastructure in the world. You will help with building the telemetry, cost attribution, and optimisation frameworks that ensure every dollar of our infrastructure investment delivers maximum value. This is a high-impact, cross-functional role at the intersection of systems engineering, financial optimisation, and AI infrastructure.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build and evolve telemetry and monitoring systems to provide deep visibility into infrastructure performance, utilisation, and costs across our cloud and datacentre fleets.</li>\n</ul>\n<ul>\n<li>Design and implement cost attribution frameworks for our multi-tenant infrastructure, enabling teams to understand and optimise their resource consumption.</li>\n</ul>\n<ul>\n<li>Identify and resolve performance bottlenecks and capacity hotspots through deep analysis of distributed systems at scale.</li>\n</ul>\n<ul>\n<li>Partner closely with cloud service providers and internal stakeholders to optimise cluster configurations, workload placement, and resource utilisation across AI training and inference workloads—including large-scale clusters spanning thousands to hundreds of thousands of machines.</li>\n</ul>\n<ul>\n<li>Develop and champion engineering practices around efficiency, driving a culture of performance awareness and cost-conscious design across Anthropic.</li>\n</ul>\n<ul>\n<li>Collaborate with research and product teams to deeply understand their infrastructure needs, and design solutions that balance performance with cost efficiency.</li>\n</ul>\n<ul>\n<li>Drive architectural improvements and code-level optimisations across multiple services and platforms to deliver measurable utilisation and performance gains.</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have 6+ years of relevant industry experience, 1+ year leading large scale, complex projects or teams as a software engineer or tech lead</li>\n</ul>\n<ul>\n<li>Deep expertise in distributed systems at scale, with a strong focus on infrastructure reliability, scalability, and continuous improvement.</li>\n</ul>\n<ul>\n<li>Strong proficiency in at least one programming language (e.g., Python, Rust, Go, Java)</li>\n</ul>\n<ul>\n<li>Hands-on experience with cloud infrastructure, including Kubernetes, Infrastructure as Code, and major cloud providers such as AWS or GCP.</li>\n</ul>\n<ul>\n<li>Experience optimising end-to-end performance of distributed systems, including workload right-sizing and resource utilisation tuning.</li>\n</ul>\n<ul>\n<li>You possess a deep curiosity for how things work under the hood and have a proven ability to work independently to solve opaque performance issues</li>\n</ul>\n<ul>\n<li>Experience designing or working with performance and utilisation monitoring tools in large-scale, distributed environments.</li>\n</ul>\n<ul>\n<li>Strong problem-solving skills with the ability to work independently and navigate ambiguity.</li>\n</ul>\n<ul>\n<li>Excellent communication and collaboration skills—you will work closely with internal and external stakeholders to build consensus and drive projects forward.</li>\n</ul>\n<p><strong>Strong candidates may have:</strong></p>\n<ul>\n<li>Experience with machine learning infrastructure workloads as well as associated networking technologies like NCCL.</li>\n</ul>\n<ul>\n<li>Low level systems experience, for example linux kernel tuning and eBPF</li>\n</ul>\n<ul>\n<li>Quickly understanding systems design tradeoffs, keeping track of rapidly evolving software systems</li>\n</ul>\n<ul>\n<li>Published work in performance optimisation and scaling distributed systems</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> 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.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;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.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> 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&#39;re interested in this work. We think AI systems like the ones we&#39;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.</p>\n<p><strong>Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_139cd1f4-231","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5108982008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000 - $405,000USD","x-skills-required":["distributed systems","cloud infrastructure","Kubernetes","Infrastructure as Code","AWS","GCP","Python","Rust","Go","Java","performance optimisation","scalability","continuous improvement"],"x-skills-preferred":["machine learning infrastructure workloads","NCCL","linux kernel tuning","eBPF","systems design tradeoffs","published work in performance optimisation"],"datePosted":"2026-03-08T13:56:57.417Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"distributed systems, cloud infrastructure, Kubernetes, Infrastructure as Code, AWS, GCP, Python, Rust, Go, Java, performance optimisation, scalability, continuous improvement, machine learning infrastructure workloads, NCCL, linux kernel tuning, eBPF, systems design tradeoffs, published work in performance optimisation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0a4da217-86e"},"title":"Software Engineer, UI Platform","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;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.</p>\n<p><strong>About the role:</strong></p>\n<p>Claude.ai is Anthropic&#39;s flagship consumer product, spanning web, mobile, desktop, and browser extensions—and it&#39;s growing fast. The UI Platform team owns the foundational layer that makes all of this possible: the shared infrastructure, components, APIs, and tooling that let every other product team at Anthropic ship quickly, reliably, and with confidence.</p>\n<p>As a Software Engineer on this team, you&#39;ll be hands-on building the platform that other engineers depend on every day. This means designing and shipping shared components and design-system-level abstractions, evolving the backend-for-frontend (BFF) APIs that power our client applications, and improving the build, deploy, and observability systems that keep Claude.ai running smoothly across surfaces. Your work will directly shape how fast teams across Anthropic can innovate—and how stable their experiences are when they do.</p>\n<p>This is a great fit if you care deeply about developer experience and want your engineering work to have outsized leverage: instead of shipping one feature, you&#39;re building the tools and systems that make dozens of features possible.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Design and build shared UI components, libraries, and abstractions that product teams across Anthropic use to ship consistently and efficiently on web and mobile</li>\n<li>Contribute to the BFF API layer that powers Claude.ai&#39;s client applications—thinking carefully about clean contracts, performance, and reliability at the boundary between frontend and backend</li>\n<li>Improve developer velocity across the organisation by reducing friction in our build, deploy, and testing pipelines</li>\n<li>Work on performance and reliability: identify and resolve latency issues, improve observability, and help establish high standards that the rest of the platform team can build on</li>\n<li>Partner closely with product engineering teams to understand their needs, unblock them when possible, and shape platform investments around where the most impact is</li>\n<li>Help maintain and evolve documentation and tooling that make the platform approachable for engineers joining or building on top of it</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have 5+ years of software engineering experience, with significant time spent building shared platforms, developer tools, or infrastructure that other engineers rely on</li>\n<li>Have strong practical skills in modern web technologies (React, TypeScript, Next.js) and experience designing or consuming APIs that serve frontend applications</li>\n<li>Care about developer experience and have a track record of building things that make other engineers more productive</li>\n<li>Have solid instincts around reliability, observability, and performance—and enjoy operationalising those instincts in production systems</li>\n<li>Thrive in fast-paced, collaborative environments and enjoy working closely with cross-functional partners</li>\n<li>Pick up slack, even if it goes outside your job description</li>\n</ul>\n<p><strong>Strong candidates may also have experience with:</strong></p>\n<ul>\n<li>Building shared component libraries or design systems for multiple surfaces (web, mobile, desktop)</li>\n<li>BFF architectures and API patterns that balance flexibility with consistency across client platforms</li>\n<li>Performance optimisation and latency reduction in consumer-facing applications</li>\n<li>CI/CD, build systems, and deployment automation</li>\n<li>Observability and monitoring (metrics, logging, tracing)</li>\n<li>Working on AI/ML products or in rapidly evolving product environments</li>\n</ul>\n<p><strong>Candidates need not have:</strong></p>\n<ul>\n<li>100% of the skills needed to perform the job</li>\n<li>Formal certifications or education credentials</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience. 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&#39;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. 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&#39;re interested in this work. 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.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_0a4da217-86e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4673416008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000 - $405,000USD","x-skills-required":["Software engineering","Modern web technologies","API design","Performance optimisation","Reliability","Observability","Monitoring"],"x-skills-preferred":["Building shared component libraries","BFF architectures","CI/CD","Deployment automation","AI/ML products"],"datePosted":"2026-03-08T13:54:15.433Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software engineering, Modern web technologies, API design, Performance optimisation, Reliability, Observability, Monitoring, Building shared component libraries, BFF architectures, CI/CD, Deployment automation, AI/ML products","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5d38ab71-400"},"title":"Research Engineer, Pretraining Scaling","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;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.</p>\n<p><strong>About the Role:</strong></p>\n<p>Anthropic&#39;s ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company&#39;s future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you&#39;ll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems.</p>\n<p>This role lives at the boundary between research and engineering. You&#39;ll work across our entire production training stack: performance optimisation, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can&#39;t wait for tomorrow.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Own critical aspects of our production pretraining pipeline, including model operations, performance optimisation, observability, and reliability</li>\n<li>Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure</li>\n<li>Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance</li>\n<li>Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams</li>\n<li>Build and maintain production logging, monitoring dashboards, and evaluation infrastructure</li>\n<li>Add new capabilities to the training codebase, such as long context support or novel architectures</li>\n<li>Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams</li>\n<li>Contribute to the team&#39;s institutional knowledge by documenting systems, debugging approaches, and lessons learned</li>\n</ul>\n<p><strong>You May Be a Good Fit If You:</strong></p>\n<ul>\n<li>Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems</li>\n<li>Genuinely enjoy both research and engineering work—you&#39;d describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other</li>\n<li>Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure</li>\n<li>Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs</li>\n<li>Excel at debugging complex, ambiguous problems across multiple layers of the stack</li>\n<li>Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents</li>\n<li>Are passionate about the work itself and want to refine your craft as a research engineer</li>\n<li>Care about the societal impacts of AI and responsible scaling</li>\n</ul>\n<p><strong>Strong Candidates May Also Have:</strong></p>\n<ul>\n<li>Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale</li>\n<li>Contributed to open-source LLM frameworks (e.g., open\\_lm, llm-foundry, mesh-transformer-jax)</li>\n<li>Published research on model training, scaling laws, or ML systems</li>\n<li>Experience with production ML systems, observability tools, or evaluation infrastructure</li>\n<li>Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence</li>\n</ul>\n<p><strong>What Makes This Role Unique:</strong></p>\n<p>This is not a typical research engineering role. The work is highly operational—you&#39;ll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends.</p>\n<p>However, this operational intensity comes with extraordinary learning opportunities. You&#39;ll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You&#39;ll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can&#39;t be easily transferred. For people who thrive on this type of work, it&#39;s uniquely rewarding.</p>\n<p>We&#39;re building a close-knit team of people who genuinely care about doing excellent work together. If you&#39;re someone who wants to be part of training the models that will define the future of AI—and you&#39;re excited about the full reality of what that entails—we&#39;d love to hear from you.</p>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> 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.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;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.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong></p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5d38ab71-400","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4938432008","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$350,000 - $850,000USD","x-skills-required":["JAX","TPU","PyTorch","large-scale distributed systems","model operations","performance optimisation","observability","reliability","model training","scaling laws","ML systems"],"x-skills-preferred":["open-source LLM frameworks","production ML systems","observability tools","evaluation infrastructure","systems engineer","quant"],"datePosted":"2026-03-08T13:48:54.589Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"JAX, TPU, PyTorch, large-scale distributed systems, model operations, performance optimisation, observability, reliability, model training, scaling laws, ML systems, open-source LLM frameworks, production ML systems, observability tools, evaluation infrastructure, systems engineer, quant","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":850000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_82a4d6f7-01c"},"title":"Staff Research Engineer, Discovery Team","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;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.</p>\n<p><strong>About the Team</strong></p>\n<p>Our team is organised around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. Our team likes to think across the whole model stack. Currently the team is focused on improving models&#39; abilities to use computers – as a laboratory for long horizon tasks and a key blocker to many scientific workflows.</p>\n<p><strong>About the role</strong></p>\n<p>As a Research Engineer on our team you will work end to end, identifying and addressing key blockers on the path to scientific AGI. Strong candidates should have familiarity with language model training, evaluation, and inference, be comfortable triaging research ideas and diagnosing problems and enjoy working collaboratively. Familiarity with performance optimisation, distributed systems, vm/sandboxing/container deployment, and large scale data pipelines is highly encouraged.</p>\n<p>Join us in our mission to develop advanced AI systems that are both powerful and beneficial for humanity.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Working across the full stack to identify and remove bottlenecks preventing progress toward scientific AGI</li>\n<li>Develop approaches to address long-horizon task completion and complex reasoning challenges essential for scientific discovery</li>\n<li>Scaling research ideas from prototype to production</li>\n<li>Create benchmarks and evaluation frameworks to measure model capabilities in scientific workflows and computer use</li>\n<li>Implement distributed training systems and performance optimisations to support large-scale model development</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have 8+ years of ML research experience</li>\n<li>Are familiar with large scale language model training, evaluation, and inference pipelines</li>\n<li>Enjoy obsessively iterating on immediate blockers towards longterm goals</li>\n<li>Thrive working collaboratively to solve problems</li>\n<li>Have expertise in performance optimisation and distributed computing systems</li>\n<li>Show strong problem-solving skills and ability to identify technical bottlenecks in complex systems</li>\n<li>Can translate research concepts into scalable engineering solutions</li>\n<li>Have a track record of shipping ML systems that tackle challenging multi-step reasoning problems</li>\n</ul>\n<p><strong>Strong candidates may also have:</strong></p>\n<ul>\n<li>Expertise with performance optimisation for language model inference and training</li>\n<li>Experience with computer use automation and agentic AI systems</li>\n<li>A history working on reinforcement learning approaches for complex task completion</li>\n<li>Knowledge of containerisation technologies (Docker, Kubernetes) and cloud deployment at scale</li>\n<li>Demonstrated ability to work across multiple domains (language modelling, systems engineering, scientific computing)</li>\n<li>Have experience with VM/sandboxing/container deployment and large-scale data processing</li>\n<li>Experience working with large scale data problem solving and infrastructure</li>\n<li>Published research or practical experience in scientific AI applications or long-horizon reasoning</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> 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.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;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.</p>\n<p><strong>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&#39;re interested in this work. We think AI systems like the ones we&#39;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.</strong></p>\n<p><strong>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&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</strong></p>\n<p><strong>How we&#39;re different</strong></p>\n<p>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.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_82a4d6f7-01c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4593216008","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$350,000 - $850,000USD","x-skills-required":["language model training","evaluation","inference","performance optimisation","distributed systems","vm/sandboxing/container deployment","large scale data pipelines"],"x-skills-preferred":["performance optimisation for language model inference and training","computer use automation and agentic AI systems","reinforcement learning approaches for complex task completion","containerisation technologies (Docker, Kubernetes) and cloud deployment at scale","VM/sandboxing/container deployment and large-scale data processing"],"datePosted":"2026-03-08T13:47:19.194Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"language model training, evaluation, inference, performance optimisation, distributed systems, vm/sandboxing/container deployment, large scale data pipelines, performance optimisation for language model inference and training, computer use automation and agentic AI systems, reinforcement learning approaches for complex task completion, containerisation technologies (Docker, Kubernetes) and cloud deployment at scale, VM/sandboxing/container deployment and large-scale data processing","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":850000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6b3b4a98-297"},"title":"Enterprise Product Engineer","description":"<p><strong>About the role</strong></p>\n<p>As an Enterprise Product Engineer at Cursor, you&#39;ll architect, implement, and deploy projects end-to-end to build enterprise-grade features that help large organisations adopt and scale with Cursor.</p>\n<p><strong>You may be a fit if</strong></p>\n<p>You have an entrepreneurial spirit and love creating outsized business impact. You want to be at the frontier of AI transformation with the best companies in the world. You&#39;re passionate about building great products that blend excellent engineering with a taste for models and design. You have a propensity for creative ideas and have a knack for making powerful tools without compromising their ease-of-use.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Architect, implement, and deploy projects end-to-end to build enterprise-grade features that help large organisations adopt and scale with Cursor.</li>\n<li>Collaborate with cross-functional teams to define and deliver product roadmaps that meet business objectives.</li>\n<li>Analyse customer needs and develop solutions that meet their requirements.</li>\n<li>Work closely with the design team to create user-centred products that are both functional and aesthetically pleasing.</li>\n<li>Develop and maintain high-quality code that is scalable, maintainable, and efficient.</li>\n<li>Participate in code reviews to ensure that the codebase is of the highest quality.</li>\n<li>Stay up-to-date with the latest technologies and trends in the industry.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and benefits package.</li>\n<li>Opportunity to work with a recognised leader in the AI industry.</li>\n<li>Collaborative and dynamic work environment.</li>\n<li>Flexible working hours and remote work options.</li>\n<li>Access to the latest technologies and tools.</li>\n<li>Opportunities for professional growth and development.</li>\n</ul>\n<p><strong>What we&#39;re looking for</strong></p>\n<ul>\n<li>3+ years of experience in software development, preferably in a product engineering role.</li>\n<li>Strong understanding of software development principles, patterns, and best practices.</li>\n<li>Experience with Agile development methodologies and version control systems.</li>\n<li>Strong problem-solving skills and attention to detail.</li>\n<li>Excellent communication and collaboration skills.</li>\n<li>Experience with cloud-based technologies and containerisation.</li>\n<li>Familiarity with machine learning and AI concepts.</li>\n<li>Experience with design thinking and user-centred design.</li>\n<li>Strong understanding of security principles and best practices.</li>\n<li>Experience with DevOps practices and tools.</li>\n<li>Familiarity with testing frameworks and methodologies.</li>\n<li>Experience with continuous integration and continuous deployment.</li>\n<li>Strong understanding of scalability and performance optimisation.</li>\n<li>Experience with monitoring and logging tools.</li>\n<li>Familiarity with containerisation and orchestration.</li>\n<li>Experience with cloud-based storage and databases.</li>\n<li>Familiarity with security frameworks and best practices.</li>\n<li>Experience with compliance and regulatory requirements.</li>\n<li>Familiarity with industry standards and best practices.</li>\n</ul>\n<p><strong>Preferred skills</strong></p>\n<ul>\n<li>Experience with Python, Java, or C++.</li>\n<li>Familiarity with cloud-based platforms such as AWS or Azure.</li>\n<li>Experience with containerisation and orchestration tools such as Docker and Kubernetes.</li>\n<li>Familiarity with machine learning and AI frameworks such as TensorFlow or PyTorch.</li>\n<li>Experience with design thinking and user-centred design tools such as Sketch or Figma.</li>\n<li>Familiarity with testing frameworks and methodologies such as JUnit or PyUnit.</li>\n<li>Experience with continuous integration and continuous deployment tools such as Jenkins or GitLab CI/CD.</li>\n<li>Familiarity with monitoring and logging tools such as Prometheus or Grafana.</li>\n<li>Experience with security frameworks and best practices such as OWASP or NIST.</li>\n<li>Familiarity with compliance and regulatory requirements such as GDPR or HIPAA.</li>\n<li>Experience with industry standards and best practices such as ISO 27001 or PCI-DSS.</li>\n</ul>\n<p><strong>Salary range</strong></p>\n<p>£80,000 - £120,000 per annum.</p>\n<p><strong>Category</strong></p>\n<p>Engineering.</p>\n<p><strong>Industry</strong></p>\n<p>Technology.</p>\n<p><strong>Experience level</strong></p>\n<p>Mid.</p>\n<p><strong>Employment type</strong></p>\n<p>Full-time.</p>\n<p><strong>Workplace type</strong></p>\n<p>Remote.</p>\n<p><strong>Required skills</strong></p>\n<ul>\n<li>Software development principles, patterns, and best practices.</li>\n<li>Agile development methodologies and version control systems.</li>\n<li>Problem-solving skills and attention to detail.</li>\n<li>Communication and collaboration skills.</li>\n<li>Cloud-based technologies and containerisation.</li>\n<li>Machine learning and AI concepts.</li>\n<li>Design thinking and user-centred design.</li>\n<li>Security principles and best practices.</li>\n<li>DevOps practices and tools.</li>\n<li>Testing frameworks and methodologies.</li>\n<li>Continuous integration and continuous deployment.</li>\n<li>Scalability and performance optimisation.</li>\n<li>Monitoring and logging tools.</li>\n<li>Containerisation and orchestration.</li>\n<li>Cloud-based storage and databases.</li>\n<li>Security frameworks and best practices.</li>\n<li>Compliance and regulatory requirements.</li>\n<li>Industry standards and best practices.</li>\n</ul>\n<p><strong>Preferred skills</strong></p>\n<ul>\n<li>Python, Java, or C++.</li>\n<li>Cloud-based platforms such as AWS or Azure.</li>\n<li>Containerisation and orchestration tools such as Docker and Kubernetes.</li>\n<li>Machine learning and AI frameworks such as TensorFlow or PyTorch.</li>\n<li>Design thinking and user-centred design tools such as Sketch or Figma.</li>\n<li>Testing frameworks and methodologies such as JUnit or PyUnit.</li>\n<li>Continuous integration and continuous deployment tools such as Jenkins or GitLab CI/CD.</li>\n<li>Monitoring and logging tools such as Prometheus or Grafana.</li>\n<li>Security frameworks and best practices such as OWASP or NIST.</li>\n<li>Compliance and regulatory requirements such as GDPR or HIPAA.</li>\n<li>Industry standards and best practices such as ISO 27001 or PCI-DSS.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6b3b4a98-297","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cursor","sameAs":"https://cursor.com","logo":"https://logos.yubhub.co/cursor.com.png"},"x-apply-url":"https://cursor.com/careers/software-engineer-enterprise","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"£80,000 - 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