{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/durability"},"x-facet":{"type":"skill","slug":"durability","display":"Durability","count":6},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5b6f9322-a9a"},"title":"Staff Engineer, Storage Engine","description":"<p>CoreWeave is seeking a Staff Engineer, Storage Engine to join their team. The successful candidate will design and implement distributed storage solutions to support scaling data-intensive AI workloads. They will contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Designing and implementing distributed storage solutions to support scaling data-intensive AI workloads</li>\n<li>Contributing to the development of exabyte-scale, S3-compatible object storage</li>\n<li>Integrating dedicated storage clusters into diverse customer environments</li>\n<li>Working with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency</li>\n<li>Leading efforts to improve the reliability, durability, security, and observability of the storage stack</li>\n<li>Collaborating with operations teams to monitor, troubleshoot, and improve storage systems in production environments</li>\n<li>Setting the bar for developing metrics and dashboards to provide visibility into storage performance and health</li>\n<li>Analyzing telemetry and system data to drive improvements in throughput, latency, and resilience</li>\n<li>Working cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack</li>\n<li>Sharing knowledge and mentoring other engineers on best practices in building distributed, high-performance systems</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>Bachelor&#39;s, Master&#39;s, or PhD degree in Computer Science, Engineering, or a related field</li>\n<li>8-10+ years of experience working in storage systems engineering or infrastructure</li>\n<li>Strong hands-on experience with object storage or distributed filesystems in production environments</li>\n<li>Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar</li>\n<li>Proficiency in a systems programming language such as Go, C, or Rust</li>\n<li>Proficiency leveraging AI tools to augment software development</li>\n<li>Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana)</li>\n<li>Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures</li>\n</ul>\n<p>The base salary range for this role is $188,000 to $275,000.</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_5b6f9322-a9a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4612047006","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$188,000 to $275,000","x-skills-required":["distributed storage","object storage","S3-compatible object storage","RDMA","GPU Direct Storage","distributed filesystems protocols","NFS","FUSE","storage performance and efficiency","reliability","durability","security","observability","telemetry","system data","throughput","latency","resilience","cloud-native infrastructure","Kubernetes","scalable system architectures"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:50:33.024Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"distributed storage, object storage, S3-compatible object storage, RDMA, GPU Direct Storage, distributed filesystems protocols, NFS, FUSE, storage performance and efficiency, reliability, durability, security, observability, telemetry, system data, throughput, latency, resilience, cloud-native infrastructure, Kubernetes, scalable system architectures","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":188000,"maxValue":275000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_157e42c1-83f"},"title":"Industrial Designer","description":"<p>Saronic Technologies is seeking an Industrial Designer to join our growing design team. 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Create proportionally accurate surfaces and visual models that express Saronic&#39;s industrial design language.</p>\n<p>Surface Modeling and Visualization:\nUse Rhino or similar surface modeling tools to develop 3D concept geometry for review and refinement. Produce high-quality renderings and visualization assets using tools such as KeyShot or Blender to communicate design intent.</p>\n<p>Aesthetic Consistency and CMF:\nContribute to the development and maintenance of Saronic&#39;s design language across vessels and supporting hardware. Support color, material, and finish (CMF) definition in collaboration with product and engineering leads.</p>\n<p>Prototype Support:\nBuild or coordinate fabrication of visual mockups and presentation models for design reviews, trade shows, or stakeholder evaluations. Ensure all mockups align with engineering constraints and undergo product team approval.</p>\n<p>Cross-Functional Collaboration:\nWork closely with engineers and fabricators to ensure design intent complements structural and mechanical realities. Participate in design reviews, integrating feedback while maintaining the balance between form and function.</p>\n<p>Qualifications:</p>\n<p>Bachelor&#39;s or Master&#39;s degree in Industrial Design, Transportation Design, Product Design, or a related field, or equivalent professional experience.</p>\n<p>5–10+ years of experience designing physical products , ideally in marine, aerospace, defense, robotics, or transportation sectors.</p>\n<p>Strong portfolio demonstrating concept ideation, 3D surface modeling, visualization, and physical prototyping.</p>\n<p>Proficiency in Rhino, Alias, or similar surface modeling software; rendering experience with KeyShot, V-Ray, or Blender.</p>\n<p>Skilled in sketching and form exploration , able to rapidly express ideas in both analog and digital media.</p>\n<p>Understanding of materials, manufacturing methods, and environmental durability in ruggedized hardware.</p>\n<p>Excellent communication and collaboration skills; ability to work effectively with engineering, fabrication, and leadership teams.</p>\n<p>Must be a U.S. Person due to required access to export-controlled information or facilities.</p>\n<p>Preferred Experience:</p>\n<p>Background in designing marine or aerospace products, or similar large-scale hardware systems.</p>\n<p>Familiarity with composite fabrication, metal forming, or additive manufacturing processes.</p>\n<p>Experience creating show-quality models or mockups for demonstrations and events.</p>\n<p>Strong grasp of ergonomics, maintenance accessibility, and usability in operational environments.</p>\n<p>Benefits:</p>\n<p>Medical Insurance: Comprehensive health insurance plans covering a range of services</p>\n<p>Saronic pays 100% of the premium for employees and 80% for dependents</p>\n<p>Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care</p>\n<p>Saronic pays 100% of the premium under the basic plan for employees and 80% for dependents</p>\n<p>Time Off: Generous PTO and Holidays</p>\n<p>Parental Leave: Paid maternity and paternity leave to support new parents</p>\n<p>Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses</p>\n<p>Retirement Plan: 401(k) plan with company match</p>\n<p>Stock Options: Equity options to give employees a stake in the company&#39;s success</p>\n<p>Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage</p>\n<p>Pet Insurance: Discounted pet insurance options including 24/7 Telehealth helpline</p>\n<p>Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office</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_157e42c1-83f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Saronic Technologies","sameAs":"https://www.saronictechnologies.com/","logo":"https://logos.yubhub.co/saronictechnologies.com.png"},"x-apply-url":"https://jobs.lever.co/saronic/f1a7146d-189d-4c31-bc4e-0e0dbad238d3","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Rhino","Alias","KeyShot","V-Ray","Blender","Sketching","Form Exploration","Materials","Manufacturing Methods","Environmental Durability"],"x-skills-preferred":["Composite Fabrication","Metal Forming","Additive Manufacturing","Ergonomics","Maintenance Accessibility","Usability"],"datePosted":"2026-04-17T12:56:50.230Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Rhino, Alias, KeyShot, V-Ray, Blender, Sketching, Form Exploration, Materials, Manufacturing Methods, Environmental Durability, Composite Fabrication, Metal Forming, Additive Manufacturing, Ergonomics, Maintenance Accessibility, Usability"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_22fe5cb2-ba9"},"title":"Engineering Manager, Datastores","description":"<p>At Webflow, we&#39;re building the world&#39;s leading AI-native Digital Experience Platform, and we&#39;re doing it as a remote-first company built on trust, transparency, and a whole lot of creativity.</p>\n<p>This work takes grit, because we move fast, without ever sacrificing craft or quality. Our mission is to bring development superpowers to everyone. From entrepreneurs launching their first idea to global enterprises scaling their digital presence, we empower teams to design, launch, and optimize for the web without barriers.</p>\n<p>We believe the future of the web, and work, is more open, more creative, and more equitable. And we’re here to build it together.</p>\n<p>We&#39;re looking for an Engineering Manager, Datastores to lead the team responsible for the reliability, scalability, and evolution of Webflow’s core production databases , primarily MongoDB and PostgreSQL. This team operates at the heart of our application and hosting stack, enabling product teams to ship confidently while maintaining high standards of performance, durability, security, and data residency.</p>\n<p>Webflow’s product and hosting platform operates at a significant scale. The Datastores team sits at a critical boundary between application velocity and system durability. This is a high-leverage leadership role at the core of Webflow’s infrastructure strategy.</p>\n<p><strong>About the role:</strong></p>\n<ul>\n<li>Lead and grow a team of Database engineers responsible for MongoDB and PostgreSQL in production.</li>\n<li>Own the operational excellence of our database layer, including availability, durability, performance, cost efficiency, and data residency.</li>\n<li>Drive roadmap and strategy for multi-region architecture, backup and disaster recovery, indexing and schema governance, capacity planning, and infrastructure automation (Pulumi/Terraform).</li>\n<li>Partner with Product Engineering to guide new access patterns, review high-impact launches for database risk, and establish guardrails that enable velocity without compromising reliability.</li>\n<li>Improve reliability through proactive failure-mode detection, clear SLOs, actionable alerting, and high-quality incident response and retrospectives.</li>\n<li>Build self-service tooling and paved roads for migrations, connection management, indexing, and query best practices.</li>\n<li>Mentor and grow senior and staff engineers while contributing to broader infrastructure strategy across AWS, Kubernetes, and stateful systems architecture.</li>\n</ul>\n<p><strong>About you:</strong></p>\n<ul>\n<li>BS / BA college degree or relevant experience</li>\n<li>Business-level fluency to read, write and speak in English</li>\n<li>2+ years of experience leading high-performing engineering teams.</li>\n<li>6+ years of hands-on experience operating and scaling production databases (MongoDB and/or PostgreSQL preferred).</li>\n<li>Experience running business-critical, high-throughput systems with strong availability and durability requirements.</li>\n</ul>\n<p>You’ll thrive in this role if you:</p>\n<ul>\n<li>Bring deep expertise in operating and scaling production databases (e.g., replication, failover, indexing, query planning, migrations) and have led teams supporting stateful, multi-region systems with strict uptime requirements.</li>\n<li>Balance strong architectural judgment with pragmatism , evolving our datastore strategy while enabling product teams to ship quickly and safely.</li>\n<li>Think in terms of SLOs, capacity models, and long-term architectural trade-offs, with hands-on experience in infrastructure as code (Pulumi/Terraform), Kubernetes, and AWS.</li>\n<li>Bring strong systems-level thinking to performance and reliability, identifying root causes across application, database, and infrastructure layers and building preventative solutions.</li>\n<li>Lead calmly through high-severity incidents, drive blameless postmortems and systemic improvements, and build strong cross-functional relationships grounded in craftsmanship and continuous improvement.</li>\n<li>Stay curious and open to growth-Demonstrate a proactive embrace of AI, actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.</li>\n</ul>\n<p><strong>Our Core Behaviors:</strong></p>\n<ul>\n<li>Build lasting customer trust.</li>\n<li>Win together.</li>\n<li>Reinvent ourselves.</li>\n<li>Deliver with speed, quality, and craft.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Ownership in what you help build.</li>\n<li>Health coverage that actually covers you.</li>\n<li>Support for every stage of family life.</li>\n<li>Time off that’s actually off.</li>\n<li>Wellness for the whole you.</li>\n<li>Invest in your future.</li>\n<li>Monthly stipends that flex with your life.</li>\n<li>Bonus for building together.</li>\n</ul>\n<p><strong>Be you, with us:</strong></p>\n<p>At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences.</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_22fe5cb2-ba9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Webflow","sameAs":"https://webflow.com/","logo":"https://logos.yubhub.co/webflow.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/webflow/jobs/7648674","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["database engineering","MongoDB","PostgreSQL","infrastructure automation","Pulumi/Terraform","Kubernetes","AWS","leadership","team management","operational excellence","availability","durability","performance","cost efficiency","data residency","multi-region architecture","backup and disaster recovery","indexing and schema governance","capacity planning","self-service tooling","paved roads","migrations","connection management","query best practices"],"x-skills-preferred":[],"datePosted":"2026-03-31T18:17:49.720Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Argentina Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"database engineering, MongoDB, PostgreSQL, infrastructure automation, Pulumi/Terraform, Kubernetes, AWS, leadership, team management, operational excellence, availability, durability, performance, cost efficiency, data residency, multi-region architecture, backup and disaster recovery, indexing and schema governance, capacity planning, self-service tooling, paved roads, migrations, connection management, query best practices"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6271a70a-c84"},"title":"Powertrain Test Engineer - Engine Dyno","description":"<p>You will support the development, validation, and testing of advanced powertrain systems through high-quality engine dynamometer testing. As a Powertrain Test Engineer, you will take an active role in operating and supervising engine dynamometer test activities. You will be responsible for the technical coordination of multiple test rooms, supporting technicians, and ensuring reliable operation of test beds, measurement systems, and data acquisition tools.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Plan, execute, and monitor engine dynamometer test activities according to defined test plans</li>\n<li>Take responsibility for the daily operation of multiple engine test rooms</li>\n<li>Coordinate and technically support test technicians and shift activities</li>\n<li>Operate and supervise engine testing using AVL PUMA test bed automation systems</li>\n<li>Ensure correct setup, operation, and maintenance of AVL dynamometers and measurement equipment</li>\n<li>Follow up and resolve test bed hardware and software issues (dyno, automation, instrumentation, DAQ)</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>BSc or MSc degree in Mechanical Engineering, Automotive Engineering, or related field</li>\n<li>Minimum 1-3 years of professional experience in engine dynamometer test operation and test cell workflows</li>\n<li>Solid understanding of internal combustion engine systems (air path, fuel system, combustion, cooling, lubrication, exhaust)</li>\n<li>Strong troubleshooting skills for hardware, instrumentation, and software issues</li>\n<li>Good communication skills and ability to work independently in a test environment</li>\n<li>Fluent spoken and written English</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience with emissions, performance, durability, or calibration-support testing</li>\n<li>Experience with AVL PUMA test automation</li>\n<li>Experience coordinating multiple test rooms or shifts</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_6271a70a-c84","directApply":true,"hiringOrganization":{"@type":"Organization","name":"AVL Research & Engineering","sameAs":"https://jobs.avl.com","logo":"https://logos.yubhub.co/jobs.avl.com.png"},"x-apply-url":"https://jobs.avl.com/job/Istanbul-Powertrain-Test-Engineer-Engine-Dyno/1371069133/","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Mechanical Engineering","Automotive Engineering","Engine Dynamometer Test Operation","Test Cell Workflows","Internal Combustion Engine Systems","Troubleshooting","Communication"],"x-skills-preferred":["Emissions Testing","Performance Testing","Durability Testing","Calibration-Support Testing","AVL PUMA Test Automation","Test Room Coordination"],"datePosted":"2026-03-09T08:18:31.477Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Istanbul, TR"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"Mechanical Engineering, Automotive Engineering, Engine Dynamometer Test Operation, Test Cell Workflows, Internal Combustion Engine Systems, Troubleshooting, Communication, Emissions Testing, Performance Testing, Durability Testing, Calibration-Support Testing, AVL PUMA Test Automation, Test Room Coordination"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5c856254-3c1"},"title":"Mechanical Engineer: Soft Goods Design","description":"<p><strong>Mechanical Engineer: Soft Goods Design</strong></p>\n<p><strong>About the Role</strong></p>\n<p>We are seeking a Mechanical Engineer to lead the engineering, characterization, and productionization of flexible and compliant components in robotic platforms.</p>\n<p>You will partner closely with cross-functional teams to translate material concepts into engineered subsystems that meet functional, durability, and manufacturing requirements. This role focuses on understanding how soft materials behave in dynamic mechanical systems — including fatigue, creep, hysteresis, wear, and environmental degradation — and designing assemblies that perform consistently at scale.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and integrate compliant or flexible materials into mechanical subsystems and rigid hardware interfaces.</li>\n<li>Leverage FEA tools to characterize material behavior under operational loads, including tension, compression, abrasion, fatigue, and environmental exposure.</li>\n<li>Develop test methods and validation protocols to evaluate durability, performance, and failure modes of soft components.</li>\n<li>Collaborate with cross-functional teams to transition early prototypes into manufacturable designs.</li>\n<li>Source and evaluate materials in collaboration with supply chain partners and specialty fabricators.</li>\n<li>Work with contract manufacturers on fabrication methods such as bonding, lamination, molding, overmolding, cut-and-sew, and composite layups.</li>\n<li>Analyze system-level tradeoffs between compliance, durability, manufacturability, and integration constraints.</li>\n<li>Document material specifications, test data, and mechanical performance to support design iteration and production readiness.</li>\n<li>Investigate field failures and iterate designs based on observed wear patterns and performance degradation.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Degree in mechanical engineering or equivalent.</li>\n<li>Experience with A-surface and cosmetic component development</li>\n<li>Experience integrating soft or compliant components into robotic, wearable, medical, automotive, or industrial hardware systems.</li>\n<li>Familiarity with environmental or durability testing (abrasion, ingress, cyclic loading, UV, temperature).</li>\n<li>Experience working with contract manufacturers or specialty fabricators.</li>\n<li>Familiarity with material characterization methods for flexible materials.</li>\n<li>Experience transitioning flexible-material prototypes into production designs.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that can be used to improve people&#39;s lives and solve complex problems.</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_5c856254-3c1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/85a69221-4a75-48f1-9ebe-872234f9e1cd","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$342K – $380K","x-skills-required":["Mechanical Engineering","FEA tools","Material characterization","Durability testing","Contract manufacturing","Supply chain management"],"x-skills-preferred":["A-surface and cosmetic component development","Soft or compliant component integration","Environmental or durability testing","Material characterization methods for flexible materials"],"datePosted":"2026-03-06T18:36:13.421Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Mechanical Engineering, FEA tools, Material characterization, Durability testing, Contract manufacturing, Supply chain management, A-surface and cosmetic component development, Soft or compliant component integration, Environmental or durability testing, Material characterization methods for flexible materials","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":342000,"maxValue":380000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_32d33889-c44"},"title":"Software Engineer, Caching Infrastructure","description":"<p><strong>Software Engineer, Caching Infrastructure</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Applied AI</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$230K – $385K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong><strong>About the Team</strong></strong></p>\n<p>At OpenAI, we’re building safe and beneficial artificial general intelligence. We deploy our models through ChatGPT, our APIs, and other cutting-edge products. Behind the scenes, making these systems fast, reliable, and cost-efficient requires world-class infrastructure.</p>\n<p>The Caching Infrastructure team is responsible for building a caching layer that powers many critical use cases at OpenAI. We aim to provide a high-availability, multi-tenant cache platform that scales automatically with workload, minimizes tail latency, and supports a diverse range of use cases.</p>\n<p>We’re looking for an experienced engineer to help design and scale this critical infrastructure. The ideal candidate has deep experience in distributed caching systems (e.g., Redis, Memcached), networking fundamentals, and Kubernetes-based service orchestration.</p>\n<p><strong><strong>In This Role, You Will:</strong></strong></p>\n<ul>\n<li>Design, build, and operate OpenAI’s multi-tenant caching platform used across inference, identity, quota, and product experiences.</li>\n</ul>\n<ul>\n<li>Define the long-term vision and roadmap for caching as a core infra capability, balancing performance, durability, and cost.</li>\n</ul>\n<ul>\n<li>Collaborate with other infra teams (e.g., networking, observability, databases) and product teams to ensure our caching platform meets their needs.</li>\n</ul>\n<p><strong><strong>You Might Thrive In This Role If You:</strong></strong></p>\n<ul>\n<li>Have 5+ years of experience building and scaling distributed systems, with a strong focus on caching, load balancing, or storage systems.</li>\n</ul>\n<ul>\n<li>Have deep expertise with Redis, Memcached, or similar solutions, including clustering, durability configurations, client-side connection patterns, and performance tuning.</li>\n</ul>\n<ul>\n<li>Have production experience with Kubernetes, service meshes (e.g., Envoy), and autoscaling systems.</li>\n</ul>\n<ul>\n<li>Think rigorously about latency, reliability, throughput, and cost in designing platform capabilities.</li>\n</ul>\n<ul>\n<li>Thrive in a fast-paced environment and enjoy balancing pragmatic engineering with long-term technical excellence.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</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_32d33889-c44","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/a20b7fc6-6f01-4618-ba35-37b40083f93e","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$230K – $385K • Offers Equity","x-skills-required":["distributed caching systems","Redis","Memcached","Kubernetes","service meshes","autoscaling systems"],"x-skills-preferred":["clustering","durability configurations","client-side connection patterns","performance tuning"],"datePosted":"2026-03-06T18:24:00.812Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"distributed caching systems, Redis, Memcached, Kubernetes, service meshes, autoscaling systems, clustering, durability configurations, client-side connection patterns, performance tuning","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":385000,"unitText":"YEAR"}}}]}