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As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire. 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Strong candidates should have familiarity with elements of language model training, evaluation, and inference and eagerness to quickly dive and get up to speed in areas they are not yet an expert on.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments</li>\n<li>Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities</li>\n<li>Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI</li>\n<li>Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows</li>\n<li>Collaborate to translate experimental requirements into production-ready infrastructure</li>\n<li>Develop large scale data pipelines to handle advanced language model training requirements</li>\n<li>Optimize large scale training and inference 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Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.</p>\n<p>Role Summary • You&#39;ll be the catalyst driving the adoption and scaling of cutting-edge AI solutions. It&#39;s a purely individual contributor role. • You&#39;ll work at the intersection of innovation and impact, empowering businesses to leverage GenAI for transformative results. • You&#39;ll guide companies in integrating GenAI solutions, making AI a tangible part of their operations. • You&#39;ll drive the scaling of GenAI technologies, ensuring seamless transitions from concept to production. • You&#39;ll partner closely with our product and science teams to deliver state-of-the-art AI solutions tailored to client needs. • You&#39;ll tackle complex business problems with AI, delivering measurable outcomes and strategic advantages. • You&#39;ll contribute to the evolution of AI technology, influencing how businesses operate and compete in the modern world. • You will travel approximately 30 to 60% of your time. • Your role will involve spending time at the client’s office.</p>\n<p>Delivering value to the customers • Execute on effective technical discovery to understand potential clients&#39; needs, challenges, and desired outcomes in collaboration with Account Executives. • Contribute to effectively identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer. • On the project, Influence evaluation criteria and gain control of evaluations and the evaluation process • Create a strategic vision for the customer on the project, based on a deep understanding of their strategy, desired positive business outcomes, and required capabilities.</p>\n<p>Product deployment • Guide and support customers in deploying our models and products into their infrastructure. • Work closely with customers to deploy relevant solutions according to their specific requirements. • Regularly liaise with the product and technical teams to relay feedback and suggest improvements. • Develop custom features for customers as needed.</p>\n<p>Customer Onboarding • Responsible for onboarding customers on our products, providing guidance on deployment and integration • Ensuring the best production setup from the low-level GPU stack, up to infrastructure, back-end and front-end interfaces</p>\n<p>Project management • Define and track success metrics of the POC being rolled out at customers. • Operate as a program leader, leveraging internal Mistral teams (Applied Engineers) as well as teams on the customer side to make sure project moves forward.</p>\n<p>About you • You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.) • You have experience working as a DevOps, Site Reliability Engineer or Cloud Solution Architect • You&#39;re experienced with deploying and managing AI-based products in production environments • You are fluent in Python • You have experience with containerization technologies (Docker, Kubernetes), as well as CI/CD pipelines and automated deployment tools • You have a deep understanding of cloud platforms (AWS, Azure, GCP) and on-premise infrastructure • You have been involved in a customer facing role • You have strong project &amp; stakeholder management skills • You have foundational knowledge in AI/ML/Data science • You have ability to connect technology and business value • You are result driven and resilient • Being familiar with sales qualification concepts 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_6d0c6019-aa4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai","logo":"https://logos.yubhub.co/mistral.ai.png"},"x-apply-url":"https://jobs.lever.co/mistral/1d8de5a6-9794-4919-9c43-b2494e6cfa0f","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","DevOps","Site Reliability Engineer","Cloud Solution Architect","Containerization technologies","CI/CD pipelines","Automated deployment tools","Cloud platforms","On-premise infrastructure"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:47:39.153Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, DevOps, Site Reliability Engineer, Cloud Solution Architect, Containerization technologies, CI/CD pipelines, Automated deployment tools, Cloud platforms, On-premise infrastructure"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7419ab94-e4f"},"title":"Senior Software Engineer - Full Stack","description":"<p>About Cyngn</p>\n<p>Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.</p>\n<p>We are looking for a Senior Software Engineer - Full Stack to join our team. As a key member of our engineering team, you will play a crucial role in developing our innovative fleet management system for autonomous industrial vehicles.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Develop and maintain both backend and frontend components of our cloud-based fleet management system</li>\n<li>Collaborate with Backend and Frontend Tech Leads to implement new features and improve existing functionality</li>\n<li>Write clean, efficient, and maintainable code in languages such as Python, Go or Java for backend, and React, Redux and TypeScript for frontend</li>\n<li>Contribute to the design and implementation of RESTful APIs and real-time data processing pipelines</li>\n<li>Assist in developing and optimizing database schemas and queries for both SQL and NoSQL databases</li>\n<li>Implement responsive and intuitive user interfaces</li>\n<li>Contribute to the development of advanced mapping features and geospatial data processing</li>\n<li>Participate in code reviews, providing constructive feedback to peers</li>\n<li>Assist in troubleshooting and resolving production issues across the full stack</li>\n<li>Implement and maintain unit tests, integration tests, and end-to-end tests</li>\n<li>Contribute to the continuous improvement of our development processes and tooling</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>5+ years of professional software development experience in full stack roles</li>\n<li>Strong proficiency in backend development using Python, Go, Java, or similar languages</li>\n<li>Solid experience with frontend development using React, Redux, and TypeScript</li>\n<li>Familiarity with cloud platforms (AWS, Azure, or GCP) and microservices architectures</li>\n<li>Experience with database design and management, both SQL and NoSQL</li>\n<li>Knowledge of RESTful API design and implementation</li>\n<li>Understanding of event-driven architectures and message queuing systems</li>\n<li>Experience with containerization technologies such as Docker and Kubernetes</li>\n<li>Familiarity with version control systems (e.g., Git) and CI/CD pipelines</li>\n<li>Strong problem-solving skills and ability to debug complex issues across the full stack</li>\n<li>Good understanding of software design patterns and architectural principles</li>\n<li>Excellent communication skills and ability to work effectively in a collaborative team environment</li>\n</ul>\n<p>Nice to Have</p>\n<ul>\n<li>Experience with WebSocket implementations</li>\n<li>Familiarity with mapping libraries (e.g., Mapbox) and geospatial data handling</li>\n<li>Knowledge of IoT platforms or autonomous systems</li>\n<li>Experience with data visualization and dashboard creation</li>\n<li>Experience with performance optimization for both backend and frontend systems</li>\n<li>Familiarity with time-series databases for handling sensor data</li>\n</ul>\n<p>Benefits &amp; Perks</p>\n<ul>\n<li>Health benefits (Medical, Dental, Vision, HSA and FSA (Health &amp; Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)</li>\n<li>Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)</li>\n<li>Company 401(k)</li>\n<li>Commuter Benefits</li>\n<li>Flexible vacation policy</li>\n<li>Remote or hybrid work opportunities</li>\n<li>Sabbatical leave opportunity after 5 years with the company</li>\n<li>Paid Parental Leave</li>\n<li>Daily lunches for in-office employees</li>\n<li>Monthly meal and tech allowances for remote employees</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_7419ab94-e4f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cyngn","sameAs":"https://www.cyngn.com/","logo":"https://logos.yubhub.co/cyngn.com.png"},"x-apply-url":"https://jobs.lever.co/cyngn/5c335ac3-eef9-478d-aab3-c7d696b3c8a3","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"USD 166,500-198,000 per-year-salary","x-skills-required":["Python","Go","Java","React","Redux","TypeScript","Cloud platforms (AWS, Azure, or GCP)","Microservices architectures","Database design and management (SQL and NoSQL)","RESTful API design and implementation","Event-driven architectures and message queuing systems","Containerization technologies (Docker and Kubernetes)","Version control systems (Git)","CI/CD pipelines","Software design patterns and architectural principles"],"x-skills-preferred":["WebSocket implementations","Mapping libraries (Mapbox) and geospatial data handling","IoT platforms or autonomous systems","Data visualization and dashboard creation","Performance optimization for both backend and frontend systems","Time-series databases for handling sensor data"],"datePosted":"2026-04-17T12:28:21.988Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Go, Java, React, Redux, TypeScript, Cloud platforms (AWS, Azure, or GCP), Microservices architectures, Database design and management (SQL and NoSQL), RESTful API design and implementation, Event-driven architectures and message queuing systems, Containerization technologies (Docker and Kubernetes), Version control systems (Git), CI/CD pipelines, Software design patterns and architectural principles, WebSocket implementations, Mapping libraries (Mapbox) and geospatial data handling, IoT platforms or autonomous systems, Data visualization and dashboard creation, Performance optimization for both backend and frontend systems, Time-series databases for handling sensor data","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":166500,"maxValue":198000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_647ba743-697"},"title":"Infrastructure Solution Architect - EMEA","description":"<p>About Mistral</p>\n<p>At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.</p>\n<p>We are a company that democratizes AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments.</p>\n<p>Our offerings include le Chat, the AI assistant for life and work.</p>\n<p>Role Summary</p>\n<p>You&#39;ll be the catalyst driving the adoption and scaling of cutting-edge AI solutions. It&#39;s a purely individual contributor role.</p>\n<p>You&#39;ll work at the intersection of innovation and impact, empowering businesses to leverage GenAI for transformative results.</p>\n<p>Responsibilities</p>\n<p>Delivering value to the customers</p>\n<ul>\n<li><p>Execute on effective technical discovery to understand potential clients&#39; needs, challenges, and desired outcomes in collaboration with Account Executives.</p>\n</li>\n<li><p>Contribute to effectively identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer.</p>\n</li>\n<li><p>On the project, Influence evaluation criteria and gain control of evaluations and the evaluation process</p>\n</li>\n<li><p>Create a strategic vision for the customer on the project, based on a deep understanding of their strategy, desired positive business outcomes, and required capabilities.</p>\n</li>\n</ul>\n<p>Product deployment</p>\n<ul>\n<li><p>Guide and support customers in deploying our models and products into their infrastructure.</p>\n</li>\n<li><p>Work closely with customers to deploy relevant solutions according to their specific requirements.</p>\n</li>\n<li><p>Regularly liaise with the product and technical teams to relay feedback and suggest improvements.</p>\n</li>\n<li><p>Develop custom features for customers as needed.</p>\n</li>\n</ul>\n<p>Customer Onboarding</p>\n<ul>\n<li><p>Responsible for onboarding customers on our products, providing guidance on deployment and integration</p>\n</li>\n<li><p>Ensuring the best production setup from the low-level GPU stack, up to infrastructure, back-end and front-end interfaces</p>\n</li>\n</ul>\n<p>Project management</p>\n<ul>\n<li><p>Define and track success metrics of the POC being rolled out at customers.</p>\n</li>\n<li><p>Operate as a program leader, leveraging internal Mistral teams (Applied Engineers) as well as teams on the customer side to make sure project moves forward.</p>\n</li>\n</ul>\n<p>About you</p>\n<ul>\n<li><p>You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.)</p>\n</li>\n<li><p>You have experience working as a DevOps, Site Reliability Engineer or Cloud Solution Architect</p>\n</li>\n<li><p>You&#39;re experienced with deploying and managing AI-based products in production environments</p>\n</li>\n<li><p>You are fluent in Python</p>\n</li>\n<li><p>You have experience with containerization technologies (Docker, Kubernetes), as well as CI/CD pipelines and automated deployment tools</p>\n</li>\n<li><p>You have a deep understanding of cloud platforms (AWS, Azure, GCP) and on-premise infrastructure</p>\n</li>\n<li><p>You have been involved in a customer-facing role</p>\n</li>\n<li><p>You have strong project &amp; stakeholder management skills</p>\n</li>\n<li><p>You have foundational knowledge in AI/ML/Data science</p>\n</li>\n<li><p>You have ability to connect technology and business value</p>\n</li>\n<li><p>You are result-driven and resilient</p>\n</li>\n</ul>\n<p>Benefits</p>\n<p>France</p>\n<ul>\n<li><p>Competitive cash salary and equity</p>\n</li>\n<li><p>Daily lunch vouchers: Swile meal vouchers with 10.83€ per worked day, incl 60% offered by company</p>\n</li>\n<li><p>Sport: Enjoy discounted access to gyms and fitness studios through our Wellpass partnership</p>\n</li>\n<li><p>Transportation: Monthly contribution to a mobility pass via Betterway</p>\n</li>\n<li><p>Health: Full health insurance for you and your family</p>\n</li>\n<li><p>Parental: Generous parental leave policy</p>\n</li>\n<li><p>Visa sponsorship</p>\n</li>\n<li><p>Coaching: we offer BetterUp coaching on a voluntary basis</p>\n</li>\n</ul>\n<p>UK</p>\n<ul>\n<li><p>Competitive cash salary and equity</p>\n</li>\n<li><p>Health Insurance</p>\n</li>\n<li><p>Transportation: Reimburse office parking charges, or 90GBP/month for public transport</p>\n</li>\n<li><p>Sport: 90GBP/month allowance for gym membership</p>\n</li>\n<li><p>Food: £200 monthly allowance (solution might evolve as we grow bigger)</p>\n</li>\n<li><p>Pension plan: SmartPension (percentages are 5% Employee &amp; 3% Employer)</p>\n</li>\n<li><p>Parental: Generous parental leave policy</p>\n</li>\n<li><p>Visa sponsorship</p>\n</li>\n</ul>\n<p>Germany</p>\n<ul>\n<li><p>Competitive cash salary and equity</p>\n</li>\n<li><p>Food: 150€ Monthly meal allowance</p>\n</li>\n<li><p>Sport: Monthly contribution to a Gympass subscription</p>\n</li>\n<li><p>Transportation: Monthly contribution to your mobility (parking charges or public transport)</p>\n</li>\n<li><p>Parental: Generous parental leave policy</p>\n</li>\n<li><p>Visa sponsorship</p>\n</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_647ba743-697","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai"},"x-apply-url":"https://jobs.lever.co/mistral/1d8de5a6-9794-4919-9c43-b2494e6cfa0f","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Cloud platforms (AWS, Azure, GCP)","Containerization technologies (Docker, Kubernetes)","CI/CD pipelines and automated deployment tools","DevOps","Site Reliability Engineer","Cloud Solution Architect","Artificial Intelligence (AI)","Machine Learning (ML)","Data Science"],"x-skills-preferred":[],"datePosted":"2026-03-10T11:28:48.784Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Cloud platforms (AWS, Azure, GCP), Containerization technologies (Docker, Kubernetes), CI/CD pipelines and automated deployment tools, DevOps, Site Reliability Engineer, Cloud Solution Architect, Artificial Intelligence (AI), Machine Learning (ML), Data Science"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_475bb955-e35"},"title":"Deployment Strategist, AI & Hybrid Cloud","description":"<p>About Mistral AI</p>\n<p>At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.</p>\n<p>We are a global company with teams distributed across France, USA, UK, Germany, and Singapore. Our workforce is diverse and committed to driving innovation.</p>\n<p>Role Summary</p>\n<p>As a Deployment Strategist, you will be the catalyst driving the adoption and scaling of cutting-edge AI solutions. You will work at the intersection of innovation and impact, empowering businesses to leverage GenAI for transformative results.</p>\n<p>Responsibilities</p>\n<p>Delivering value to the customers</p>\n<ul>\n<li><p>Execute on effective technical discovery to understand potential clients&#39; needs, challenges, and desired outcomes in collaboration with Account Executives.</p>\n</li>\n<li><p>Contribute to effectively identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer.</p>\n</li>\n<li><p>On the project, influence evaluation criteria and gain control of evaluations and the evaluation process.</p>\n</li>\n<li><p>Create a strategic vision for the customer on the project, based on a deep understanding of their strategy, desired positive business outcomes, and required capabilities.</p>\n</li>\n</ul>\n<p>Product deployment</p>\n<ul>\n<li><p>Guide and support customers in deploying our models and products into their infrastructure.</p>\n</li>\n<li><p>Work closely with customers to deploy relevant solutions according to their specific requirements.</p>\n</li>\n<li><p>Regularly liaise with the product and technical teams to relay feedback and suggest improvements.</p>\n</li>\n<li><p>Develop custom features for customers as needed.</p>\n</li>\n</ul>\n<p>Customer Onboarding</p>\n<ul>\n<li><p>Responsible for onboarding customers on our products, providing guidance on deployment and integration.</p>\n</li>\n<li><p>Ensuring the best production setup from the low-level GPU stack, up to infrastructure, back-end and front-end interfaces.</p>\n</li>\n</ul>\n<p>Project management</p>\n<ul>\n<li><p>Define and track success metrics of the POC being rolled out at customers.</p>\n</li>\n<li><p>Operate as a program leader, leveraging internal Mistral teams (Applied Engineers) as well as teams on the customer side to make sure project moves forward.</p>\n</li>\n</ul>\n<p>About you</p>\n<ul>\n<li><p>You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.).</p>\n</li>\n<li><p>You have experience working as a DevOps, Site Reliability Engineer or Cloud Solution Architect.</p>\n</li>\n<li><p>You&#39;re experienced with deploying and managing AI-based products in production environments.</p>\n</li>\n<li><p>You are fluent in Python.</p>\n</li>\n<li><p>You have experience with containerization technologies (Docker, Kubernetes), as well as CI/CD pipelines and automated deployment tools.</p>\n</li>\n<li><p>You have a deep understanding of cloud platforms (AWS, Azure, GCP) and on-premise infrastructure.</p>\n</li>\n<li><p>You have been involved in a customer-facing role.</p>\n</li>\n<li><p>You have strong project &amp; 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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><strong>About the Team</strong></p>\n<p>OpenAI’s Platform and Infrastructure Engineering organization advances the mission of deploying artificial general intelligence (AGI) for the benefit of all by delivering secure, scalable, and resilient technology solutions. Our team builds and maintains robust infrastructure that safeguards OpenAI’s data and systems while ensuring employees are well-equipped and seamlessly connected. By prioritizing security, reliability, and user-centric solutions, we empower OpenAI employees to drive impactful AI research, corporate operations, and product innovation.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Client Platform Engineer at OpenAI, you will play a pivotal role in securing, enhancing, and maintaining our endpoint management infrastructure across macOS, Windows, iOS, and Android devices. Your focus will be on building scalable, automated solutions that ensure seamless deployments, advanced security configurations, and efficient operational workflows. You will collaborate closely with IT, Security, and Engineering teams to implement modern endpoint management practices using automation, Infrastructure-as-Code (IaC), and monitoring strategies. This role offers an opportunity to work with cutting-edge tools and contribute to building a security-first, automation-driven endpoint ecosystem.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Design, build, implement, and maintain scalable and performant endpoint management infrastructure to facilitate best-in-class security of the OpenAI fleet comprised of macOS, Windows, iOS, and Android endpoints.</li>\n</ul>\n<ul>\n<li>Deliver critical endpoint management efficiencies and capabilities through bespoke software development and implementation of both industry-standard open source tooling and first-party software solutions.</li>\n</ul>\n<ul>\n<li>Employ modern Infrastructure-as-Code (IaC) methodologies, develop GitOps-driven solutions to deliver consensus-based fleet management capabilities at scale.</li>\n</ul>\n<ul>\n<li>Build and maintain CI/CD pipelines for fleet management infrastructure, deploying to progressively tested environments across multiple clouds (Azure, AWS, GCP).</li>\n</ul>\n<ul>\n<li>Drive initiatives to adopt emerging CPE technologies, industry best practices, and optimize processes for scalability and operational efficiency.</li>\n</ul>\n<ul>\n<li>Partner with cross-functional teams to ensure seamless endpoint user experiences while maintaining strict security standards and continually increasing the bar.</li>\n</ul>\n<p><strong>You may be a fit for this role if you have:</strong></p>\n<ul>\n<li>Proficiency in a modern programming language (Python, Golang, Ruby, etc.)</li>\n</ul>\n<ul>\n<li>Extensive hands-on experience with Jamf PRO and Microsoft Intune to ensure comprehensive secure fleet management as well as experience with similar cloud identity providers.</li>\n</ul>\n<ul>\n<li>Demonstrated success and experience with open source endpoint management tooling for configuration management, mobile device management, application management, and telemetry such as Salt, Puppet, Munki, Nano/MicroMDM, osquery, Autopkg, WinGet, etc.</li>\n</ul>\n<ul>\n<li>History of developing and delivering secure, reliable, scalable, and technology solutions.</li>\n</ul>\n<ul>\n<li>Deep knowledge and experience managing corporate infrastructure at scale with Infrastructure-as-Code (IaC) practices &amp; GitOps workflows (Terraform, Ansible, Chef, etc.)</li>\n</ul>\n<ul>\n<li>Experience integrating and operating fleet management infrastructure with CI/CD pipelines and DevOps workflows.</li>\n</ul>\n<ul>\n<li>Proven track record of deploying and operating fleet management infrastructure in public cloud environments (Azure, AWS, GCP).</li>\n</ul>\n<ul>\n<li>A self-starter with strong analytical and problem-solving skills.</li>\n</ul>\n<p><strong>You might thrive in this role if you have:</strong></p>\n<ul>\n<li>Deep experience with open-source fleet management tools and frameworks.</li>\n</ul>\n<ul>\n<li>Experience with containerization technologies such as Docker and Kubernetes.</li>\n</ul>\n<ul>\n<li>Familiarity with compliance frameworks such as SOC 2, ISO 27001, FedRAMP, and NIST.</li>\n</ul>\n<ul>\n<li>Strong soft skills, including stakeholder communication and cross-functional collaboration.</li>\n</ul>\n<ul>\n<li>Relevant professional certifications such as CISSP, CISA, CISM, CCSP.</li>\n</ul>\n<ul>\n<li>A security thought leader with contributions to CPE open-source projects or technical communities.</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>We are an equal opportunity employer, and we do not discriminate on the basis of</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_23839818-2ff","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/720bd7ae-2d65-4f1c-b01a-86278dedabde","x-work-arrangement":"Remote","x-experience-level":null,"x-job-type":"Full time","x-salary-range":null,"x-skills-required":["Python","Golang","Ruby","Jamf PRO","Microsoft Intune","Salt","Puppet","Munki","Nano/MicroMDM","osquery","Autopkg","WinGet","Terraform","Ansible","Chef","Docker","Kubernetes"],"x-skills-preferred":["Deep experience with open-source fleet management tools and frameworks","Experience with containerization technologies such as Docker and Kubernetes","Familiarity with compliance frameworks such as SOC 2, ISO 27001, FedRAMP, and NIST","Strong soft skills, including stakeholder communication and cross-functional collaboration","Relevant professional certifications such as CISSP, CISA, CISM, CCSP","A security thought leader with contributions to CPE open-source projects or technical communities"],"datePosted":"2026-03-08T22:15:11.680Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Golang, Ruby, Jamf PRO, Microsoft Intune, Salt, Puppet, Munki, Nano/MicroMDM, osquery, Autopkg, WinGet, Terraform, Ansible, Chef, Docker, Kubernetes, Deep experience with open-source fleet management tools and frameworks, Experience with containerization technologies such as Docker and Kubernetes, Familiarity with compliance frameworks such as SOC 2, ISO 27001, FedRAMP, and NIST, Strong soft skills, including stakeholder communication and cross-functional collaboration, Relevant professional certifications such as CISSP, CISA, CISM, CCSP, A security thought leader with contributions to CPE open-source projects or technical communities"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_da726093-b19"},"title":"Research Engineer, Discovery","description":"<p><strong>About the Role</strong></p>\n<p>As a Research Engineer on our team, you will work end to end across the whole model stack, identifying and addressing key infra blockers on the path to scientific AGI. Strong candidates should have familiarity with elements of language model training, evaluation, and inference and eagerness to quickly dive and get up to speed in areas they are not yet an expert on. This may include performance optimization, distributed systems, VM/sandboxing/container deployment, and large scale data pipelines.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments</li>\n<li>Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities</li>\n<li>Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI.</li>\n<li>Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows</li>\n<li>Collaborate to translate experimental requirements into production-ready infrastructure</li>\n<li>Develop large scale data pipelines to handle advanced language model training requirements</li>\n<li>Optimize large scale training and inference pipelines for stable and efficient reinforcement learning</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have 6+ years of highly-relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems</li>\n<li>Are a strong communicator and enjoy working collaboratively</li>\n<li>Possess deep knowledge of performance optimization techniques and system architectures for high-throughput ML workloads</li>\n<li>Have experience with containerization technologies (Docker, Kubernetes) and orchestration at scale</li>\n<li>Have proven track record of building large-scale data pipelines and distributed storage systems</li>\n<li>Excel at diagnosing and resolving complex infrastructure challenges in production environments</li>\n<li>Can work effectively across the full ML stack from data pipelines to performance optimization</li>\n<li>Have experience collaborating with other researchers to scale experimental ideas</li>\n<li>Thrive in fast-paced environments and can rapidly iterate from experimentation to production</li>\n</ul>\n<p><strong>Strong candidates may also have:</strong></p>\n<ul>\n<li>Experience with language model training infrastructure and distributed ML frameworks (PyTorch, JAX, etc.)</li>\n<li>Background in building infrastructure for AI research labs or large-scale ML organizations</li>\n<li>Knowledge of GPU/TPU architectures and language model inference optimization</li>\n<li>Experience with cloud platforms (AWS, GCP) at enterprise scale</li>\n<li>Familiarity with VM and container orchestration.</li>\n<li>Experience with workflow orchestration tools and experiment management systems</li>\n<li>History working with large scale reinforcement learning</li>\n<li>Comfort with large scale data pipelines (Beam, Spark, Dask, …)</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</li>\n<li>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.</li>\n<li>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.</li>\n</ul>\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.</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. 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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 is seeking an experienced Infrastructure Engineer to join our Sandboxing team within the Research organisation. In this role, you&#39;ll build and scale the systems that enable researchers to safely execute and experiment with AI-generated code and interactions in isolated environments.</p>\n<p>As our models become more capable, the infrastructure supporting secure execution environments becomes increasingly critical. You&#39;ll work on distributed systems that must operate reliably at significant scale while maintaining strong security boundaries. Your work will directly support Anthropic&#39;s mission to develop AI systems that are safe, beneficial, and trustworthy.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design, build, and operate distributed backend systems that power secure sandboxed execution environments</li>\n<li>Scale infrastructure to meet growing research and product demands while maintaining reliability and performance</li>\n<li>Implement and maintain serverless architectures and container orchestration systems</li>\n<li>Collaborate with research teams to understand requirements and translate them into robust infrastructure solutions</li>\n<li>Develop monitoring, alerting, and observability systems to ensure operational excellence</li>\n<li>Participate in on-call rotations and incident response to maintain system reliability</li>\n<li>Contribute to infrastructure automation and tooling that improves developer productivity</li>\n<li>Partner with security teams to ensure sandboxing infrastructure maintains appropriate isolation guarantees</li>\n</ul>\n<p><strong>You may be a good fit if you</strong></p>\n<ul>\n<li>Have 5+ years of experience building and operating backend infrastructure at scale</li>\n<li>Have deep expertise in distributed systems design and implementation</li>\n<li>Have strong operational experience, including debugging complex production issues</li>\n<li>Are proficient with cloud platforms, particularly GCP/GCS (experience with AWS or Azure is also valuable)</li>\n<li>Have experience with containerization technologies (Docker, Kubernetes) and understand their security implications</li>\n<li>Are comfortable working with infrastructure as code and modern DevOps practices</li>\n<li>Have strong programming skills in languages such as Python, Go, or Rust</li>\n<li>Are results-oriented with a bias towards flexibility and impact</li>\n<li>Care about the societal impacts of your work and are motivated by Anthropic&#39;s mission</li>\n</ul>\n<p><strong>Strong candidates may also have experience with</strong></p>\n<ul>\n<li>Serverless architectures and functions-as-a-service platforms (Cloud Functions, Cloud Run, Lambda)</li>\n<li>Designing and implementing secure multi-tenant systems</li>\n<li>High-performance computing environments or ML infrastructure</li>\n<li>Linux systems internals, including namespaces, cgroups, and seccomp</li>\n<li>Network security and isolation techniques</li>\n<li>Building systems that support research workflows and rapid iteration</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></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 a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</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, which has as much in common with physics and biology as with traditional efforts in computer science. 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We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.</p>\n<p><strong>About the Role</strong></p>\n<p>As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable. You will work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. Successful candidates will play a crucial role in ensuring the reliability, scalability, and performance of our systems as we continue to expand. As a reliability expert, you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure. You will work closely with cross-functional teams, including software engineers, product managers, and data scientists, to build and maintain resilient systems that can handle our growing user base and workload.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands.</li>\n</ul>\n<ul>\n<li>Build and maintain the load, chaos and synthetic testing software leveraged by development teams to make the systems they design and operate more reliable.</li>\n</ul>\n<ul>\n<li>Build and maintain automation tools to streamline repetitive tasks and improve system reliability.</li>\n</ul>\n<ul>\n<li>Build and maintain the platform for CPU/storage, GPU, and network lifecycle management to drive efficiency, accountability and support dynamic optimization of our resources.</li>\n</ul>\n<ul>\n<li>Implement fault-tolerant and resilient design patterns to minimize service disruptions.</li>\n</ul>\n<ul>\n<li>Develop and maintain service level objectives (SLOs) and service level indicators (SLIs) to measure and ensure system reliability.</li>\n</ul>\n<ul>\n<li>Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world.</li>\n</ul>\n<ul>\n<li>Participate in an on-call rotation to respond to critical incidents and ensure 24/7 system availability.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have a track record of accelerating engineering reliability by empowering your fellow engineers with excellent tooling and systems.</li>\n</ul>\n<ul>\n<li>Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.</li>\n</ul>\n<ul>\n<li>Own problems end-to-end, and are willing to pick up whatever knowledge you&#39;re missing to get the job done.</li>\n</ul>\n<ul>\n<li>Enjoy seeking out and 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Improve internal tooling and our developer experience.</li>\n</ul>\n<ul>\n<li>Contribute to incident response, postmortems, and the development of best practices around system reliability and scalability.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have a deep understanding of distributed systems principles and a proven track record in building and operating scalable and reliable systems.</li>\n</ul>\n<ul>\n<li>Have a keen eye for performance and optimization. You know how to squeeze the most performance out of complex, globally-distributed systems.</li>\n</ul>\n<ul>\n<li>Have experience operating orchestration systems such as Kubernetes at scale and building abstractions over cloud platforms</li>\n</ul>\n<ul>\n<li>Are comfortable working in Linux environments, and with tools like Kubernetes, Terraform, CI/CD pipelines, and modern observability stacks.</li>\n</ul>\n<ul>\n<li>Are experienced in collaborating with cross-functional teams to ensure that reliability and scalability are considered in the design and development of new features and services.</li>\n</ul>\n<ul>\n<li>Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.</li>\n</ul>\n<ul>\n<li>Own problems end-to-end, and are willing to pick up whatever knowledge you&#39;re missing to get the job done.</li>\n</ul>\n<ul>\n<li>Are comfortable with ambiguity and rapid change.</li>\n</ul>\n<p><strong>Qualifications:</strong></p>\n<ul>\n<li>4+ years of relevant industry experience, with 2+ years leading large scale, complex projects or teams as an engineer or tech lead</li>\n</ul>\n<ul>\n<li>A passion for distributed systems at scale with a focus on reliability, scalability, security, and continuous improvement.</li>\n</ul>\n<ul>\n<li>Proven experience as an reliability engineer, production engineer, or a similar role in a fast-paced, rapidly scaling company.</li>\n</ul>\n<ul>\n<li>Strong proficiency in cloud infrastructure (like AWS, GCP, Azure) and IaC tools such as Terraform. 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