Qureos Mentor

X Development

<div><div><div><div><p>Software EngineeringMountain View, CA (HQ)</p>
</div>
</div></div><div><div><div><p><b>About Tapestry</b></p>
<p>
Tapestry is Alphabet&rsquo;s moonshot for the electric grid, working at the frontier where energy&rsquo;s complexity meets AI&rsquo;s potential. We were born at X, the innovation lab responsible for breakthrough technologies like Waymo, Verily and Google Brain.</p>
<p>
To keep pace with humanity&rsquo;s growing energy needs, the world needs a grid that is visible and understandable. We provide that clarity by building advanced, AI-enabled analytical and planning tools that allow the entire energy ecosystem to plan smarter, move faster, and operate more efficiently&mdash;ensuring electricity remains reliable and affordable for everyone.</p>
<p>
This is a global effort. Tapestry is proud to support partners in the U.S., U.K., Chile, New Zealand, Australia and Brazil as they build a cleaner, more resilient energy future.
</p><p>Joining Tapestry allows you to do the best work of your life as part of a multidisciplinary team of experts in AI, energy systems, software engineering and product design&mdash;all collaborating to reshape energy on a global scale. If you want to tackle problems that matter and build tools with real impact, we would love to meet you. Learn more about our team and our mission here.</p>
<p><b>
About the role</b></p>
<p>
We are looking for a Foundational Architect and Leader to serve as the Engineering Manager for our Infrastructure and DevOps team. At Tapestry, we are building a high-performance substrate that allows our AI and Power Systems models to simulate the global energy grid.
</p><p>You will lead a highly skilled and motivated team responsible for the reliability, scalability, and velocity of our entire moonshot. At this stage of our growth, developer productivity is our most critical lever, and we take it seriously, viewing it as a core competitive advantage rather than an afterthought. You will bridge the gap between startup speed and &lsquo;Google-scale&rsquo; robustness by seeding a culture of &lsquo;Design as Code&rsquo; and AI-augmented engineering. Your mission is to build the high-leverage tooling and agentic workflows that allow our engineers to move from complex architectural designs to mission-critical deployments with total confidence and zero friction.</p>
<p><b>
How you will make 10X Impact</b></p>
<ul>
<li><b>Build the &quot;Git&quot; for the Grid:</b> Design and operate a world-class cloud-native infrastructure that supports heavy-duty AI workloads, massive geospatial data processing, and physics-based simulations.</li>
<li><b>Developer Empowerment:</b> Architect self-service platforms and CI/CD primitives that allow our multidisciplinary teams (ML, Computation, Power Systems, Software) to move from idea to production deployment without friction.</li>
<li><b>Production Hardening:</b> Lead the SRE and DevOps strategy to ensure Tapestry&rsquo;s tools are as reliable as the electric grid itself. You will own the &quot;day-two&quot; operations: monitoring, incident response, and security at scale.</li>
<li><b>Operational Excellence:</b> Fostering a culture of operational excellence and psychological safety.</li>
</ul>
<p><b>What you should have:</b></p>
<ul>
<li><b>Technical Depth:</b> 8+ years of experience in Infrastructure, Site Reliability, or DevOps, with a deep understanding of Kubernetes, Cloud Architecture (GCP preferred), and Infrastructure-as-Code (Terraform/Pulumi).</li>
<li><b>Leadership:</b> 2+ years of experience in a formal people management role, with a proven ability to mentor senior ICs and manage cross-functional stakeholders.</li>
<li><b>Systems Thinking:</b> A &quot;Platform-as-a-Product&quot; mindset &ndash; you build systems that empower other engineers to be self-sufficient.</li>
<li><b>Operational Excellence:</b> Experience managing high-availability production environments and a track record of leading through complex incidents and post-mortems.</li>
<li><b>Security and Compliance:</b> Familiarity with securing cloud environments and managing data privacy/governance at an enterprise level.</li>
</ul>
<p><b>It&rsquo;d be great if you also had:</b></p>
<ul>
<li><b>Specialized Workloads:</b> Experience managing infrastructure for ML-heavy organizations (GPU orchestration, high-performance computing).</li>
<li><b>The &quot;Zero-to-One&quot; Spirit:</b> Experience building out DevOps culture from scratch in a high-growth or R and D-heavy environment.</li>
</ul>
<p><b>Our values</b></p>
<ul>
<li><b>Take charge:</b> We take initiative and own outcomes that move the mission forward.</li>
<li><b>Transform with purpose:</b> We build solutions that solve real problems and create meaningful impact.</li>
<li><b>Be a Tapestry, not a thread: </b>We collaborate across diverse skills and perspectives to achieve more than we can individually.</li>
<li><b>Always fine-tune:</b> We stay curious, seek feedback, and refine our understanding as we learn.</li>
<li><b>Stay grounded:</b> We listen openly, value different perspectives, and stay focused on what matters most.</li>
</ul>
<p><b>What we offer</b></p>
<p>
A culture that supports growth, ownership, and meaningful impact, along with:</p>
<ul>
<li>Competitive salary and equity</li>
<li>Medical, dental, and vision coverage</li>
<li>Generous PTO and flexible hybrid work model</li>
<li>401(k) with employer contribution</li>
<li>Professional development</li>
<li>The ability to work on important real-world problems within an Alphabet-backed environment</li>
</ul>
<p>The US base salary range for this full-time position is $201,000 - $265,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
<br>
<br>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.</p>
<p>
</p></div></div></div><div><div><h2 class="jobSectionHeader"><b>An Equal Opportunity Workplace</b></h2>
<p>
At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.</p>
<p>
If you have a disability or special need that requires accommodation, please contact us at x-accommodation-request@x.team.</p></div></div></div>

Engineering Manager, DevOps (Tapestry)

<div><div><div><div><p>InternshipMountain View, CA</p>
</div>
</div></div><div><div><div><p><b>How you will make 10x impact:</b>
</p><p>General description: A machine learning/artificial intelligence specialist with experience in LLM and agent harnesses for industrial engineering, system engineering and/or chemical engineering</p>
<div>
<ul><li>Collaborate with the X Project team to design and develop Agentic LLM approaches to the project's mission</li></ul>
<div><ul><li>Understand the project&rsquo;s goals and challenges and conduct relevant literature surveys.
</li></ul><ul><li>Suggest agentic workflow solutions in which approaches/models can apply new and existing project workflows</li></ul>
<ul><li>create/train/evaluate agentic AI models, features, components of large scale Agentic AI systems.</li></ul>
</div><ul><li>Engage with the Intern community during the program, engaging with the X community, attending colloquia and tech talks.</li></ul>
</div>
<p>This project aims to push the limits of science and modeling as we know them and to prove how ML can radically accelerate our understanding of the world</p>
<ul>
<li>Location: X's headquarters in Mountain View, CA</li>
<li>Start Date(s): Year-round rolling basis</li>
<li>Duration: a flexible 4 mo. to 1 year program based on project team needs and your availability</li>
</ul>
<p>Throughout your AI Residency you can expect:</p>
<ul>
<li>To be embedded into one of our confidential or public X projects</li>
<li>To get paid competitively and receive benefits</li>
<li>To be a part of a lively community of AI and ML Residents</li>
<li>To attend tech-talks with AI leaders from across X</li>
</ul>
<p><b>What you should have:</b><b>
</b></p><ul><li>Currently enrolled in a PhD program in a STEM field such as CS, Physics, Engineering or Mathematics/Statistics with a strong interest in machine learning and proficiency in general purpose programming.</li>
<li>Demonstrated experience working with physical applications, hardware, or modeling real-world physics to build simulated environments or computational &quot;harnesses&quot; for physical equipment.
</li><li>Deep understanding of how state-of-the-art coding agents work internally (e.g., Claude Code, Codex CLI, Gemini CLI).</li>
<li>Hands-on experience designing and building LLM-powered agent systems with tool design, context management, and multi-agent coordination.</li>
</ul>
<p><b>It&rsquo;d be great if you also had these:</b><b>
</b></p><ul><li>Open-source projects that demonstrate relevant skills and/or publications in relevant conferences and journals (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICASSP).</li>
<li>Experience building verification/feedback loops for LLM agents</li>
<li>Experience with harness engineering / context engineering
</li><li>Experience with physics engines, robotics simulators (e.g., MuJoCo, PyBullet, Gazebo), or CAD software to build test environments and digital representations of physical machinery.</li>
</ul>
<p><b>Additional public information</b>:</p>
<p>
https://www.wired.com/video/watch/astro-teller-captain-of-moonshots-at-x-speaks-at-wired25</p>
<p>
https://www.bloomberg.com/news/videos/2019-10-10/alphabet-x-s-astro-teller-on-bloomberg-studio-1-0-video</p>
<p>
The US base salary range for this position is $109,000 - $157,000 + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.</p>
<p>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include benefits.</p>
<p>
</p></div></div></div><div><div><h2 class="jobSectionHeader"><b>An Equal Opportunity Workplace</b></h2>
<p>
At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.</p>
<p>
If you have a disability or special need that requires accommodation, please contact us at x-accommodation-request@x.team.</p></div></div></div>

2026 PhD Residency - LLM Harness Engineering for Industrial Systems (Early Stage Project)

<div><div><div><div><p>InternshipMountain View, CA</p>
</div>
</div></div><div><div><div><p><b>How you will make 10x impact:</b>
</p><p>General description: An operations research and optimization specialist with experience in machine learning for industrial engineering, system engineering and/or chemical engineering</p>
<div>
<ul><li>Collaborate with the X Project team to design and develop operations research approaches/algorithms to support the project's mission</li></ul>
<div><ul><li>Understand the project&rsquo;s goals and challenges and conduct relevant literature surveys.
</li></ul><ul><li>Create modeling and optimization approaches for industrial systems.
</li></ul><ul><li>Design and evaluate models for simulated and real-world systems.<br>
</li></ul></div><ul><li>Engage with the Intern community during the program, engaging with the X community, attending colloquia and tech talks.</li></ul>
</div>
<p>This project aims to push the limits of science and modeling as we know them and to prove how ML can radically accelerate our understanding of the world</p>
<ul>
<li>Location: X's headquarters in Mountain View, CA</li>
<li>Start Date(s): Year-round rolling basis</li>
<li>Duration: a flexible 4 mo. to 1 year program based on project team needs and your availability</li>
</ul>
<p>Throughout your AI Residency you can expect:</p>
<ul>
<li>To be embedded into one of our confidential or public X projects</li>
<li>To get paid competitively and receive benefits</li>
<li>To be a part of a lively community of AI and ML Residents</li>
<li>To attend tech-talks with AI leaders from across X</li>
</ul>
<p><b>What you should have:</b><b>
</b></p><ul><li>Currently enrolled in a PhD program in a STEM field such as operations research, applied mathematics or industrial process engineering with a strong interest in machine learning.</li>
<li>Strong experience with one or more general purpose programming languages such as Python, C/C++.
</li><li>Experience in industrial optimization, as in industrial engineering, chemical engineering, or system engineering is desired.</li>
<li>A deep understanding of stochastic modeling or combinatorial optimization methods.
</li></ul><p><b>It&rsquo;d be great if you also had these:</b><b>
</b></p><ul><li>Open-source projects that demonstrate relevant skills and/or publications in relevant conferences and journals.</li>
<li>Proficiency in machine learning, operation research, or high-performance computing frameworks and libraries.</li>
<li>Familiarity with machine learning data science tools (e.g. Vertex AI, OpenAI Platform, or Antropic Console).
</li><li>Familiarity with Bayesian optimization and stochastic processes.
</li></ul><p><b>Additional public information</b>:</p>
<p>
https://www.wired.com/video/watch/astro-teller-captain-of-moonshots-at-x-speaks-at-wired25</p>
<p>
https://www.bloomberg.com/news/videos/2019-10-10/alphabet-x-s-astro-teller-on-bloomberg-studio-1-0-video</p>
<p>
The US base salary range for this position is $109,000 - $157,000 + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.</p>
<p>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include benefits.</p>
<p>
</p></div></div></div><div><div><h2 class="jobSectionHeader"><b>An Equal Opportunity Workplace</b></h2>
<p>
At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.</p>
<p>
If you have a disability or special need that requires accommodation, please contact us at x-accommodation-request@x.team.</p></div></div></div>

2026 PhD Residency - Operations Research and Optimization (Early Stage Project)

Join X Development and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

X Development

About Company

Engineering Manager, DevOps (Tapestry)

2026 PhD Residency - LLM Harness Engineering for Industrial Systems (Early Stage Project)

2026 PhD Residency - Operations Research and Optimization (Early Stage Project)