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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6a693806-940"},"title":"Senior Staff Software Engineer, AI Runtime","description":"<p>At Databricks, we run the world&#39;s largest AI platform. We believe the next breakthroughs will come from models trained on domain-specific enterprise data, not from bigger general-purpose models alone. That&#39;s why we built AI Runtime, a serverless product that makes GPU training of any size feel simple, so companies can train their own models the way frontier labs do.</p>\n<p>As a Senior Staff Software Engineer, you&#39;ll work on the systems behind all of this, solving the hardest technical problems and shaping where AI Runtime goes next.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Drive AI Runtime&#39;s architecture and lead Databricks&#39; long-term technical direction in AI training infrastructure.</li>\n<li>Define the reliability and observability strategy for a fleet that keeps growing in scale and complexity.</li>\n<li>Shape AI Runtime&#39;s developer experience for people and agents, so even the largest training jobs feel as simple as a first experiment.</li>\n<li>Anticipate industry trends and choose the technical bets that prepare AI Runtime for new GPU generations and workload types.</li>\n<li>Take on the hardest multi-node training problems yourself, from orchestration and GPU scheduling to data loading and checkpointing.</li>\n<li>Make training faster and cheaper by raising efficiency across model architectures and GPU accelerators.</li>\n<li>Work with research, product, and customers to decide what we build next and align teams on hard technical calls.</li>\n<li>Champion engineering excellence, raise the bar, and help us hire and grow great engineers.</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>15+ years in large-scale distributed systems, with significant depth in GPU training, high-performance computing, or ML systems.</li>\n<li>Hands-on experience training large models with FSDP, DeepSpeed, or Megatron, and fluency in parallelism strategies.</li>\n<li>Expertise in GPU performance, including accelerator architecture, high-speed interconnects, and kernels.</li>\n<li>Strong understanding of training resilience patterns, such as checkpointing, failure detection, and automatic recovery.</li>\n<li>A background in building and running multi-tenant cloud platforms as products.</li>\n<li>A track record of setting technical direction across teams and seeing it through to business impact.</li>\n<li>The credibility to bring teams to agreement on difficult trade-offs, and a reputation as a mentor senior engineers seek out.</li>\n<li>BS in Computer Science or a related field (MS or PhD preferred).</li>\n</ul>\n<p>Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.</p>\n<p>Local Pay Range $228,600-$342,800 USD</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_6a693806-940","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://www.databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8909305002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$228,600-$342,800 USD","x-skills-required":["large-scale distributed systems","GPU training","high-performance computing","ML systems","FSDP","DeepSpeed","Megatron","parallelism strategies","GPU performance","accelerator architecture","high-speed interconnects","kernels","training resilience patterns","checkpointing","failure detection","automatic recovery","multi-tenant cloud platforms"],"x-skills-preferred":[],"datePosted":"2026-10-23T10:21:49.232Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California; 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href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ba8c858e-af5","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/8384388002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$217,800-$299,550 USD","x-skills-required":["Job architecture","Comp frameworks","Market pricing","Year-end and Midyear pay cycle","global compensation practices","pay for performance design","Google Sheets","Excel","Tableau","SQL","Python","AI for comp analytics"],"x-skills-preferred":[],"datePosted":"2026-06-18T13:31:09.156Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California; San Francisco, California, 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We&#39;re doing it cross-cloud with a unified platform, currently serving over 10k customers, processing exabytes of data/day on 15+ million VMs, and growing exponentially.</p>\n<p>As a part of the Database Engine team, you will design and implement in many areas that leapfrog existing state-of-the-art systems:</p>\n<ul>\n<li>Query compilation &amp; optimisation</li>\n<li>Distributed query execution and scheduling</li>\n<li>Vectorised engine execution</li>\n<li>Data security</li>\n<li>Resource Management</li>\n<li>Transaction coordination</li>\n<li>Efficient storage structures (encoding, indexes)</li>\n<li>Automatic physical data optimisation</li>\n</ul>\n<p>We look for:</p>\n<ul>\n<li>PhD in databases or systems</li>\n<li>A passion for database systems, storage systems, distributed systems, language design, and/or performance optimisation</li>\n<li>Motivated by delivering customer value and impact</li>\n</ul>\n<p>The pay range for this role is $150,000-$190,000 USD. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and benefits.</p>\n<p>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.</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_35234d54-861","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://www.databricks.com/","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8482037002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$150,000-$190,000 USD","x-skills-required":["database systems","storage systems","distributed systems","language design","performance optimisation"],"x-skills-preferred":[],"datePosted":"2026-06-18T13:30:47.994Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California; San Francisco, California, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"database systems, storage systems, distributed systems, language design, performance optimisation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":150000,"maxValue":190000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a0a736e2-70f"},"title":"Senior Staff Software Engineer - Lakeflow Pipelines Datasets","description":"<p>Databricks builds the world&#39;s leading data and AI platform, used by tens of thousands of organisations to turn raw data into decisions that matter.</p>\n<p>The Lakeflow Engineering team owns the entirety of the ETL product line: Declarative Dataflow Graphs, Materialised Views, Structured Streaming, and Flows. We run what is arguably the world&#39;s largest data engineering platform, processing exabytes of data daily across tens of thousands of customers. The problems we solve (fault-tolerant incremental computation, stream-batch unification, declarative pipeline orchestration at massive scale) sit at the frontier of what distributed data systems can do.</p>\n<p>We&#39;re looking for a Senior Staff Engineer to serve as a technical architect and engineering leader for this platform. You&#39;ll own the long-term technical direction for how pipelines are defined, optimised, executed, and operated, shaping the systems that data teams worldwide depend on every day. You will work across one or more of the following areas to design and build the next generation of data infrastructure:</p>\n<ul>\n<li>Declarative Dataflow Processing</li>\n<li>Resource management</li>\n<li>Efficient storage structures</li>\n<li>Stream Processing and Complex Event Processing</li>\n<li>Autonomic Computing and Self-Managing Systems</li>\n</ul>\n<p>The Impact you will have:</p>\n<ul>\n<li>Architect and deliver a highly scalable, fault-tolerant platform for declarative pipelines and materialised views serving thousands of production customers.</li>\n<li>Turn ambiguous, large-scale technical challenges into clear execution plans that ship incrementally and hold up at exabyte scale.</li>\n<li>Bridge the gap between research and production by bringing ideas from the academic literature or internal R&amp;D into systems that solve real customer problems.</li>\n<li>Lead deep systems work: performance diagnosis on large production clusters, low-level debugging, and optimisation that moves the needle on cost and latency.</li>\n<li>Shape product direction alongside engineering and product leadership, owning technical strategy from design through delivery.</li>\n<li>Drive complex, multi-team technical initiatives that require sustained coordination and clear technical judgment.</li>\n</ul>\n<p>What We’re Looking For:</p>\n<ul>\n<li>10+ years of experience building, operating, and evolving large-scale distributed systems in production.</li>\n<li>Deep expertise in one or more of: database internals, storage systems, distributed computing, streaming systems, language/API design, or performance engineering.</li>\n<li>Track record of executing against a multi-year technical vision through well-sequenced incremental milestones.</li>\n<li>Strong algorithmic foundations with the practical judgment to know when they matter and when simpler solutions win.</li>\n<li>A bias toward customer impact over technical novelty for its own sake.</li>\n<li>Experience building alignment across teams and driving initiatives from conception through customer adoption.</li>\n<li>BS, MS, or PhD in Computer Science or a related field (or equivalent depth of experience).</li>\n</ul>\n<p>Pay Range Transparency</p>\n<p>Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilising the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. 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