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Oracle

<div>Oracle is seeking a Senior Supply Chain Engineer to serve as a Factory Quality Engineer supporting Oracle Cloud Infrastructure (OCI) hardware platforms.
This role supports factory quality execution for complex AI infrastructure, server, and rack-level products from New Product Introduction (NPI) through production ramp and sustaining shipment, with a primary focus on cutting-edge AI hardware ramps, including GPU and advanced compute platforms.
The Factory Quality Engineer will be part of the Quality organization responsible for Incoming Quality Control (IQC), Outgoing Quality Control (OQC), Outgoing Box Audit (OBA), factory quality, field quality, reliability, and operational health metrics.
This role will work directly with Oracle&rsquo;s Texas-based manufacturing partners to ensure factory issues are understood, contained, and driven to closure.
The engineer will help protect manufacturing delivery, incoming and outgoing quality, and field reliability by using yield data, test coverage, OBA findings, Root Cause and Corrective Action (RCCA) discipline, and risk assessment to support OK-to-Ramp and OK-to-Ship decisions.</div>
 <div>Responsibilities
<ul><li>Monitor factory quality performance across assigned products and manufacturing sites, including IQC, OQC, OBA, L10/L11 yield, First Pass Yield (FPY), All Pass Yield (APY), retest rate, failure paretos, and test stability.
</li><li>Analyze factory quality signals to identify open quality risks, containment gaps, unresolved factory issues, and potential customer escape risks before products ramp or ship.
</li><li>Drive factory issue containment, failure-data review, RCCA follow-up, corrective-action implementation, and effectiveness validation with manufacturing partners, suppliers, and Oracle engineering teams.
</li><li>Ensure process escapes, rework risks, test instability, and recurring failure modes are documented, assigned to clear owners, and tracked through closure.
</li><li>Review factory test coverage and confirm that known failure modes can be detected before shipment.
</li><li>Validate the effectiveness of OBA in identifying workmanship, configuration, labeling, packaging, cosmetic, documentation, and functional escapes.
</li><li>Partner with Manufacturing and Test Engineering teams to reduce yield gaps, debug churn, retest-driven instability, and recurring line failures.
</li><li>Support NCAT, SSP, program readiness reviews, and executive quality updates with clear data, concise risk summaries, and recommended next actions.
</li><li>Work frequently on-site with Texas manufacturing partners, including IGS and Foxconn, to confirm that appropriate process controls, inspection criteria, rework instructions, escalation paths, and quality gates are in place.
</li><li>Build and maintain factory quality risk registers for key programs, including containment status, RCCA ownership, target closure dates, and residual risk.
</li>Support OK-to-Ramp and OK-to-Ship decisions by ensuring remaining quality risks are clear, current, and actionable. 
<li>
</li></ul>Required Skills and Experience
<ul><li>Experience in manufacturing quality, process quality, supplier quality, product quality, hardware quality, or reliability engineering.
</li><li>Strong working knowledge of IQC, OQC, OBA, factory test flows, yield metrics, pareto analysis, retest rates, containment, and corrective action.
</li><li>Experience applying structured RCCA methodologies such as 8D, 5-Why, Fishbone, CAPA, or other disciplined problem-solving approaches.
</li><li>Ability to analyze failure data, distinguish known issues from emerging risks, and drive fact-based closure with manufacturing partners, suppliers, and internal engineering teams.
</li><li>Ability to work effectively with incomplete data and make sound quality recommendations under production ramp or shipment pressure.
</li><li>Strong communication skills, including the ability to translate technical issues and quality data into clear risk statements, required actions, and recommendations for cross-functional stakeholders.
</li>Experience working with external manufacturers, suppliers, Manufacturing Engineering, Test Engineering, field teams, or repair organizations. 
<li>
</li></ul>Preferred Qualifications
<ul><li>Experience with server, rack-level, GPU, networking, storage, power, thermal, or other data center infrastructure products, particularly cutting-edge AI infrastructure platforms.
</li><li>Experience supporting NPI, production ramp, OK-to-Ramp, OK-to-Ship, stop-ship, containment, or customer-impacting quality reviews.
</li><li>Familiarity with GRR, test coverage validation, FMEA, control plans, SPC, DOE, or reliability qualification.
</li><li>Experience working with high-volume manufacturing partners, ODMs, CMs, EMs, repair operations, or supplier factory audits.
</li>Six Sigma, CQE, CRE, Lean, or equivalent quality/reliability training or certification. 
<li>
</li></ul>What Success Looks Like:
Success in this role means making factory quality risks visible, understood, actionable, and owned.
The engineer will ensure that critical factory and field failure modes have effective containment, clear RCCA ownership, and validated corrective actions. OK-to-Ramp and OK-to-Ship reviews should be supported by current data, clear risk statements, and well-defined next actions&mdash;with no executive surprises.
Manufacturing partners should have the appropriate process controls, test coverage, inspection criteria, and escalation paths needed to protect outgoing quality. IQC, OQC, and OBA findings should be used as active quality signals to strengthen factory controls and prevent customer escapes.
Over time, this role should help reduce recurring failures, retest churn, process escapes, and late-stage quality escalations through disciplined problem solving and stronger factory quality execution.
Location : Houston, TX</div>

Senior Supply Chain Engineer

ON.energy

<div>
 
 ON.energy
 
 &nbsp;
 
 is building the backbone of energy and AI infrastructure powering grid-safe data centers and mission-critical facilities. The company supplies and operates hyperscale power systems that solve the toughest resilience challenges, delivering custom solutions for AI data centers, mission-critical facilities, and front-of-the-meter assets. ON recently announced a 5GW partnership, with 3GW currently under construction across multiple hyperscale data center campuses. With patented technology and proprietary software,
 
 &nbsp;
 
 ON.energy
 
 &nbsp;
 
 develops projects worldwide that set new benchmarks for resilience.
 
 Role SummaryThis is the first dedicated AI engineering role at
 
 &nbsp;
 
 ON.energy. There is no established AI platform team to inherit and no fully scoped roadmap waiting for you; you will help decide what gets built, what gets bought, and what patterns the rest of the company adopts. If you want a role where the early decisions are still open, this is one. If you need a mature platform and a defined backlog on day one, it is not.You will report to the Program Director, AI Enablement, who owns intake and prioritization of AI use cases from across the business. This is a small, direct working relationship where you will be the technical half of it. The role is based in Houston, with a minimum of three days per week in the office and a reasonable remote setup for the days you are not. Occasional travel should be expected.&nbsp;Key Responsibilities
 <ul>
 <li>
 Building production AI systems end to end, from prototype through deploy and monitor &mdash; owning the delivery dates and milestones you commit to, and flagging risks and contingencies early rather than reporting them after the fact
 </li>
 <li>
 Working directly with stakeholders across Engineering, Operations, HR, Finance, and Commercial to translate workflow problems into shippable tools, much of it in person and side by side with the teams whose work you are changing
 </li>
 <li>
 Writing the evaluation harnesses, prompts, retrieval logic, and integration code that make LLM-powered features reliable
 </li>
 <li>
 Establishing reusable technical patterns &mdash; prompt and model governance, eval frameworks, data access, deploy practices &mdash; built in partnership with IT so they fit our security, identity, and infrastructure standards
 </li>
 <li>
 Partnering with external vendors and implementation partners: evaluating their platforms, holding them to scope and schedule, and integrating what they deliver into our stack
 </li>
 <li>
 Contributing to the technical roadmap, including where to invest, what to kill, and what's worth building in-house versus buying
 </li>
 <li>
 Partnering with the Program Director on technical scoping for new use cases, including calling out when an out-of-the-box tool will solve the problem versus when custom work is justified
 </li>
 <li>
 Tracking how the AI tooling landscape is moving and folding what genuinely matters into our stack, including retiring approaches of your own when something better arrives
 </li>
 </ul>
 Key Requirements
 <ul>
 <li>
 A CS or related technical background, with hands-on production experience building AI/ML systems (internships, research, or full-time work all count)
 </li>
 <li>
 Demonstrated ability to ship: a portfolio of projects or work history that shows you take things from idea to running system, not just notebooks
 </li>
 <li>
 Solid software engineering fundamentals, including version control, testing, code review, and deployment practices
 </li>
 <li>
 Working knowledge of modern AI tooling: LLM APIs, RAG, evaluation, agent frameworks, vector stores
 </li>
 <li>
 Strong written and verbal communication. You'll be in front of non-technical stakeholders regularly and the work needs to translate
 </li>
 <li>
 A track record as a true business partner. You scope realistically, commit to dates and milestones, think through risks and contingencies in advance, and raise slippage early instead of at the deadline
 </li>
 <li>
 Ability to work as part of a team in a multi-stakeholder environment. There will be plenty of solo wins in this role, but many of the biggest ones will come through partnership with IT, the business, and outside vendors &mdash; and you should find that just as rewarding
 </li>
 <li>
 A habit of staying on top of technology developments. This tool set changes quarter to quarter; you will need to evaluate what is new, form a point of view, and adapt without chasing every headline
 </li>
 <li>
 Willingness to work in our hybrid, in-office culture &mdash; a minimum of three days per week in the Houston office, with a reasonable remote setup for the rest. We collaborate face to face with each other, with vendors, and with key stakeholders, and this role depends on that proximity
 </li>
 <li>
 Comfortable in ambiguity. We don't have a fully scoped roadmap; you'll help build it
 </li>
 </ul>
 Preferred Experience
 <ul>
 <li>
 Production experience with hosted LLM platforms (Anthropic API, Azure OpenAI, AWS Bedrock, or equivalent)
 </li>
 <li>
 Hands-on experience with Claude Code, MCP server development, or agentic coding tools
 </li>
 <li>
 Familiarity with Microsoft ecosystem integration (Entra ID, Graph API, M365 surfaces) for enterprise AI deployments
 </li>
 <li>
 Experience with agent orchestration frameworks or multi-agent systems
 </li>
 <li>
 Exposure to settings where data sensitivity and operational safety constrain what you can deploy (OT, healthcare, finance, regulated industries)
 </li>
 <li>
 Background in energy, utilities, or other operationally complex sectors
 </li>
 </ul>
 &nbsp;Not flexible on:
 <ul>
 <li>
 Having built something real people actually used, and having kept it running after launch. Prototypes and notebooks are not the same thing
 </li>
 <li>
 The ability to work inside enterprise constraints. To include identity and permissions, data you are not allowed to move, systems you do not control or clear evidence you would pick that up quickly
 </li>
 <li>
 Being in Houston and in the office at least three days a week
 </li>
 <li>
 Doing what you said you would do, by when you said you would do it
 </li>
 </ul>
 
 &nbsp;
 
 
 
 For US-based roles - What you&rsquo;ll get:
 
 
 <ul>
 <li>
 Competitive salary + annual performance-based bonus eligibility
 </li>
 <li>
 Medical, dental, and vision insurance
 </li>
 <li>
 401(k) with company match
 </li>
 <li>
 Paid time off and company holidays&nbsp;
 </li>
 </ul>
 
 
 For Mexico-based roles - What you&rsquo;ll get:
 
 
 <ul>
 <li>
 Competitive salary + annual performance bonus eligibility
 </li>
 <li>
 Christmas Bonus (Aguinaldo): 30 days
 </li>
 <li>
 Major medical expenses and life insurance
 </li>
 <li>
 Paid time off and holidays (per local policy)
 </li>
 </ul>
 
 
 For all roles:
 
 
 <ul>
 <li>
 Professional development and growth opportunities
 </li>
 <li>
 Opportunity to grow with a mission-driven team shaping the future of clean energy
 </li>
 <li>
 Equal Opportunity: ON.energy is committed to equal employment opportunity and to maintaining a work environment free of harassment, discrimination, or retaliation.
 </li>
 <li>
 Accommodations: If you need an accommodation during the application process, email recruitment@onenergystorage.com
 </li>
 <li>
 Benefits vary by role and location and are subject to change.
 </li>
 </ul>
 
 
 Agency Notice:
 
 
 &nbsp;
 
 ON.energy does not accept unsolicited resumes from staffing agencies, search firms, or third-party recruiters. Resumes submitted without a fully executed Master Services Agreement (MSA) and a written request from an authorized member of our Talent Acquisition team will be considered the property of ON.energy. No placement fees or compensation will be paid for unsolicited candidate submissions.
 
</div>

AI Engineer

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2 dining server jobs In Houston

Senior Supply Chain Engineer

AI Engineer