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CSQ427R137 About the team: The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored by the CEO and Founders. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering outcomes , not just a platform. You will be part of the founding team, embedded with our most strategic customers from the very first sales call through to a production-ready solution. You will be the "product manager" for the customer's problem, responsible for the "why" and "what," while our FDEs (Engineers) will be your partners responsible for the "how." Role description: As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million-dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the technical and product direction of the engagement from initial discovery through production launch and adoption. You will build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing. You will also lead technical discovery, shape solution architecture with FDEs, and ensure that each proposed solution can move from prototype to production. This role requires a rare combination of executive presence, deep product thinking, technical depth, and a hands-on delivery mindset. The impact you will have: C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value of $10M+ problems, and define the pilot, including its MVP, success criteria, and timeline. End-to-End Product Ownership: Author the PRD, prioritize the engineering backlog, manage scope, and act as the primary hands-on QA tester. Translate business requirements into clear data, integration, security, a

Customer Quality & RMA Engineer Job Description Company Overview Infinitum Electric is a technology company pioneering the next generation of axial flux electric motors — lighter, more efficient, and more sustainable than conventional motor designs. Our motors are deployed in mission-critical applications for leading customers including hyperscale data center operators and industrial OEMs. As we scale rapidly in revenue, our Quality function is the backbone of customer trust and product integrity. Position Summary The Customer Quality & RMA Engineer serves as the primary technical interface between Infinitum and its customers on all quality-related matters — including field complaints, warranty returns, RMA processing, corrective action management, and customer-facing quality reporting. This role owns the complete RMA lifecycle from customer notification through root cause resolution and verified closure, and is responsible for ensuring that every customer quality event is investigated with rigor, communicated with transparency, and resolved permanently. Key Responsibilities RMA Management & Field Complaint Resolution Own the end-to-end RMA process — from initial customer notification through receipt, inspection, root cause analysis, corrective action, and verified closure Triage and prioritize incoming field complaints and warranty returns based on customer impact, failure mode severity, and strategic account importance Conduct or coordinate physical inspection and failure analysis of returned motors and assemblies Maintain accurate, real-time RMA tracking data including cycle time, failure mode distribution, and cohort maturity trends Communicate RMA status, findings, and corrective actions to customers in a professional, timely, and technically credible manner Drive RMA rate reduction through systemic root cause analysis and closed-loop corrective action — targeting the structural elimination of recurring failure modes Customer Quality Interfac

CSQ327R211 About the team: The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored by the CEO and Founders. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering outcomes , not just a platform. You will be part of the founding team, embedded with our most strategic customers from the very first sales call through to a production-ready solution. You will be the "product manager" for the customer's problem, responsible for the "why" and "what," while our FDEs (Engineers) will be your partners responsible for the "how." Role description: As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million-dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the technical and product direction of the engagement from initial discovery through production launch and adoption. You will build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing. You will also lead technical discovery, shape solution architecture with FDEs, and ensure that each proposed solution can move from prototype to production. This role requires a rare combination of executive presence, deep product thinking, technical depth, and a hands-on delivery mindset. The impact you will have: C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value of $10M+ problems, and define the pilot, including its MVP, success criteria, and timeline. End-to-End Product Ownership: Author the PRD, prioritize the engineering backlog, manage scope, and act as the primary hands-on QA tester. Translate business requirements into clear data, integration, security, a

CSQ327R215 About the team: The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored by the CEO and Founders. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering outcomes , not just a platform. You will be part of the founding team, embedded with our most strategic customers from the very first sales call through to a production-ready solution. You will be the "product manager" for the customer's problem, responsible for the "why" and "what," while our FDEs (Engineers) will be your partners responsible for the "how." Role description: As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million-dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the technical and product direction of the engagement from initial discovery through production launch and adoption. You will build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing. You will also lead technical discovery, shape solution architecture with FDEs, and ensure that each proposed solution can move from prototype to production. This role requires a rare combination of executive presence, deep product thinking, technical depth, and a hands-on delivery mindset. The impact you will have: C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value of $10M+ problems, and define the pilot, including its MVP, success criteria, and timeline. End-to-End Product Ownership: Author the PRD, prioritize the engineering backlog, manage scope, and act as the primary hands-on QA tester. Translate business requirements into clear data, integration, security, a

CSQ327R212 About the team: The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored by the CEO and Founders. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering outcomes , not just a platform. You will be part of the founding team, embedded with our most strategic customers from the very first sales call through to a production-ready solution. You will be the "product manager" for the customer's problem, responsible for the "why" and "what," while our FDEs (Engineers) will be your partners responsible for the "how." Role description: As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million-dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the technical and product direction of the engagement from initial discovery through production launch and adoption. You will build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing. You will also lead technical discovery, shape solution architecture with FDEs, and ensure that each proposed solution can move from prototype to production. This role requires a rare combination of executive presence, deep product thinking, technical depth, and a hands-on delivery mindset. The impact you will have: C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value of $10M+ problems, and define the pilot, including its MVP, success criteria, and timeline. End-to-End Product Ownership: Author the PRD, prioritize the engineering backlog, manage scope, and act as the primary hands-on QA tester. Translate business requirements into clear data, integration, security, a

CSQ327R214 About the team: The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored by the CEO and Founders. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering outcomes , not just a platform. You will be part of the founding team, embedded with our most strategic customers from the very first sales call through to a production-ready solution. You will be the "product manager" for the customer's problem, responsible for the "why" and "what," while our FDEs (Engineers) will be your partners responsible for the "how." Role description: As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million-dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the technical and product direction of the engagement from initial discovery through production launch and adoption. You will build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing. You will also lead technical discovery, shape solution architecture with FDEs, and ensure that each proposed solution can move from prototype to production. This role requires a rare combination of executive presence, deep product thinking, technical depth, and a hands-on delivery mindset. The impact you will have: C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value of $10M+ problems, and define the pilot, including its MVP, success criteria, and timeline. End-to-End Product Ownership: Author the PRD, prioritize the engineering backlog, manage scope, and act as the primary hands-on QA tester. Translate business requirements into clear data, integration, security, a

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made up of Sales, Solutions, Support, Marketing, and Partnership professionals who work together to bring AI to as many users as possible. About the role Our Sales team helps customers understand how highly capable AI can transform their businesses. As an Account Director, Large Enterprise, you’ll work with some of our largest accounts across a variety of industries, winning new business and expanding adoption within existing customers. This role combines technical understanding, executive engagement, and ownership of complex enterprise sales. You’ll create demand, develop opportunities, and lead deals from initial engagement through negotiation, deployment, and expansion. You’ll help executives move from curiosity about AI to a clear understanding of how it can change the way their businesses operate—and build a practical path to realizing that value. We’re looking for someone with a hunter mentality who takes initiative and creates momentum. You’re comfortable opening doors, building relationships across business units, and bringing commercial and technical stakeholders together around an enterprise transformation strategy. Success means both winning business and helping customers turn their commitments into sustained adoption and consumption. This role can be based in our San Francisco, New York City or Seattle offices. We are also considering applications to work remotely from within the U.S. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, yo

Job Title: Senior Supplier Quality Engineer Department: Quality Location: Austin, TX (with travel to supplier sites domestically and internationally) Reports To: Senior Director of Quality FLSA Status: Exempt Travel Required: Up to 40% (supplier audits& development visits) INFINITUM ELECTRIC Senior Supplier Quality Engineer Job Description POSITION OVERVIEW COMPANY OVERVIEW Infinitum Electric is a technology company pioneering the next generation of axial flux electric motors — lighter, more efficient, and more sustainable than conventional motor designs. Our supply chain spans contract manufacturers, magnet suppliers, PCB manufacturers, and precision machining partners across the US, Mexico, and Asia. As we scale rapidly in revenue, the quality of our supply base is directly linked to our ability to deliver reliable, world-class products to our customers. POSITION SUMMARY The Senior Supplier Quality Engineer is responsible for developing, managing, and continuously improving the quality performance of Infinitum's supplier base — with particular focus on critical and high-risk suppliers. This role leads supplier qualification, audit programs, incoming quality controls, supplier corrective action management, and collaborative supplier development activities. The Senior SQE acts as both a quality gate and a lean development partner for Infinitum's supply chain — ensuring that supplier capability grows in step with Infinitum's product quality demands. KEY RESPONSIBILITIES Supplier Quality Management & Performance Own the quality performance of assigned suppliers — tracking incoming defect rate (PPM), on-time delivery, corrective action closure rate, and audit findings across a defined supplier portfolio Maintain supplier scorecards and lead periodic supplier quality review meetings — driving accountability and continuous improvement in supplier performance Establish and enforce incoming inspection plans, acceptance criteria, and control plans for

Position Overview: As an Account Executive II with Diligent, you'll be at the forefront of driving revenue growth, deepening customer engagement, and shaping the future of how businesses utilise our cutting-edge solutions. Success in this role means expanding product adoption among current customers and introducing new clients to our platform. This is a high-impact, individual contributor role that demands strategic vision, proactive relationship-building, and relentless pursuit of excellence. You’ll be responsible for everything from engaging prospects and managing a robust pipeline to delivering accurate forecasts and closing deals. Acting as a trusted advisor and strategist, you’ll lead account planning, orchestrate internal collaboration, and leverage expertise to elevate customer success and revenue growth. We’re looking for a commercially sound sales professional with a track record of exceeding targets, a natural collaborator, and someone who thrives in fast-paced, high-growth environments. If you’re driven to create value, embody a customer-first ethos, and deliver innovative solutions, this is the role for you. This role operates on a hybrid model, with 50% office-based work required (periodic travel to partner offices will be required). This role is open to candidates based in London. Regrettably we are unable to provide visa sponsorship, so you must be eligible to work in the UK. Key Responsibilities: Proactively build a deep knowledge of and expertise in Diligent’s products, solutions, strategy and business priorities. Responsible for prospecting new and existing business within the designated vertical / territory for complex accounts with longer sales cycles. Adopts a ‘solutions’ selling approach, understanding customer needs and developing solutions through the lens of the Diligent One Platform. Build deep relationships with prospects and customers during interactions by being customer-focused and consistently honouring commitments and connectin

About the Team OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. Our team works across silicon, embedded systems, operating systems, and cloud services to build reliable consumer devices and the novel platforms required to support them. We partner closely with research to bring advanced AI capabilities into the physical world. About the Role As an Operating Systems Engineer focused on on-device inference, you will design, develop, and ship the OS stack that makes advanced AI capabilities reliable, responsive, and energy efficient on consumer devices. Your work will span OS services and frameworks, inference runtime integration, model fitting, scheduling, and performance and power management. You’ll partner with research to adapt models to device constraints, make design decisions across the stack, and carry solutions from early exploration through integration and production. In this role, you will: Build the inference platform: Design and implement maintainable OS services, frameworks, and clear interfaces for inference execution, model loading and lifecycle, and resource management. Fit models to device constraints: Partner with researchers on quantization, runtime integration, and memory optimization to meet memory, compute, and energy budgets while evaluating model quality and product behavior. Coordinate system resources: Develop scheduling and resource policies that balance inference with other device act

About the Team OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. Our team works across custom silicon, embedded systems, operating systems, and cloud services to build reliable consumer devices and the platforms behind them. We connect kernel development with the broader software stack to deliver complete product capabilities. About the Role As an Operating Systems Engineer focused on the Linux kernel, you will design, develop, and maintain the kernel capabilities that underpin OpenAI’s consumer devices. You’ll bring deep expertise in one or more Linux kernel subsystems and carry solutions through the higher-level software stack. Your ownership will extend into the userspace services, libraries, tools, and interfaces needed to deliver complete product features. You’ll shape the boundaries between kernel and userspace, make design decisions across the stack, and see your work through development, integration, and production. In this role, you will: Build kernel capabilities: Design, implement, and maintain Linux kernel subsystem changes that support device capabilities and product requirements. Own features across the stack: Choose appropriate kernel and userspace boundaries, and build the interfaces and supporting components needed to deliver reliable features in shipped products. Debug complex system behavior: Use tracing, profiling, instrumentation, and diagnostic tools to resolve correctness, concurrency, p

About the Team OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. Our team works across systems software and product engineering to build reliable consumer devices and the platforms behind them. We develop the connectivity and networking foundations that support communication across OpenAI products and systems. About the Role As an Operating Systems Engineer focused on connectivity and networking, you will design, develop, and maintain the OS capabilities that enable reliable, secure, and efficient communication across OpenAI products and systems. Your work will span Wi-Fi and Bluetooth frameworks, IP networking, and advanced network services and policy. You’ll develop OS services, libraries, and interfaces for a broad range of connectivity needs, make design decisions across software boundaries, and carry solutions through development, integration, and production. In this role, you will: Build connectivity foundations: Design, implement, and maintain OS services, frameworks, and APIs for Wi-Fi, Bluetooth, and IP networking. Develop reusable network capabilities: Build connection management, network configuration and selection, service discovery, and routing capabilities. Enable secure communication: Develop network services and policies for secure communication, traffic management, and isolation across varied network environments. Resolve issues across the stack: Investigate correctness, concurrency, interoper

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: The Process Technician is responsible for building, installing, operating, and troubleshooting fluid and process systems at SpaceXSI's power generation facility. This role focuses on plant fluid systems including fuel gas, ammonia, water, compressed and instrument air, and HVAC. Technicians play a key role in the design and commissioning process by providing feedback to engineers on how systems will be operated and maintained. RESPONSIBILITIES: Support fuel gas, ammonia, water/cooling water, compressed and instrument air, HVAC, and related balance-of-plant process systems Read and interpret planning documents, P&IDs, schematics, data sheets/manuals, drawings, blueprints, and engineering sketches Adjust, repair, or replace faulty components of process, utility, and plant fluid equipment Connect and verify pressure transducers, thermocouples, and other sensors Complete necessary wiring of electrical support equipment for process and utility systems Perform high-pressure liquid and pneumatic testing Troubleshoot and repair high-urgency operational issues found during commissioning, start-up, outages, or normal pla