Solutions Engineer in United States

Who We Are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team As a member of the Partner Solutions Architecture (PSA) team, you will be responsible for providing technical guidance to Stripe’s partners. Our goal is to drive growth through co-solutioning, education and enablement with our partner organization. The right candidate will be a critical technical liaison to the Stripe Partner Development Manager. This will involve creating comprehensive technical business plans for Partners, including identifying, incubating and bringing to market service/solution offerings built on or with Stripe. A Partner Solution Architect is someone who is intellectually curious, motivated to win, open and entrepreneurial. What you’ll do As a member of the team, PSAs build highly consultative trusted relationships with executives and technical decision makers in the customer’s organisation to provide business and technical thought leadership, and become a trusted advisor in solving mission-critical business challenges. We architect business models with them so they can drive new monetization opportunities and growth. Responsibilities: Work with key partners to build out their Stripe capabilities and solutions to grow their business and drive non-linear growth Develop and execute enablement plans Be at the forefront of technical discussions & solution deep-dives with partners on the value Stripe can provide to their clients Engage with CTOs, engineering & other technical leads at key partners to share technology

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role At WRITER, we're not just building the future of enterprise AI; we're actively orchestrating it. The director, solutions architecture plays a pivotal role in this journey, leading a team of exceptional solutions architects who empower our enterprise customers to unlock the full potential of our cutting-edge generative AI platform. You’ll be at the forefront of driving AI transformation, moving beyond theoretical discussions to hands-on deployment and measurable impact. This is your chance to lead, mentor, and inspire a team dedicated to solving complex business challenges with innovative AI solutions, directly influencing customer success and WRITER's rapid growth. This is a full-time, hybrid role based out of our San Francisco hub. You will report directly to the VP of solutions architecture. 🦸🏻‍♀️ What you'll do Lead and empower a team of highly skilled solutions architects, fostering their technical growth and career development across complex enterprise AI engagem

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role At WRITER, we're not just building the future of enterprise AI; we're actively orchestrating it. The director, solutions architecture plays a pivotal role in this journey, leading a team of exceptional solutions architects who empower our enterprise customers to unlock the full potential of our cutting-edge generative AI platform. You’ll be at the forefront of driving AI transformation, moving beyond theoretical discussions to hands-on deployment and measurable impact. This is your chance to lead, mentor, and inspire a team dedicated to solving complex business challenges with innovative AI solutions, directly influencing customer success and WRITER's rapid growth. This is a full-time, hybrid role based out of our San Francisco hub. You will report directly to the VP of solutions architecture. 🦸🏻‍♀️ What you'll do Lead and empower a team of highly skilled solutions architects, fostering their technical growth and career development across complex enterprise AI engagem

Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. Job Purpose The Metrology Engineer is Hyliion's technical authority on dimensional measurement across internal operations and the supply base. KARNO functionality depends on precision machined components and sub-assemblies held to micron-level form and finish, and this position sits within the Quality function as the interface between Design Engineering, the supply base, Manufacturing, and Quality. The role owns the measurement system end to end: the metrology lab and equipment roadmap, inspection programs and fixtures, the calibration and gage control system, and the measurement standards to which both supplier and internal inspection are held. The position is accountable for the integrity of dimensional data wherever it is generated — at a supplier's machine, at receiving inspection, or in process on Hyliion's floor — and for ensuring that results from those sources agree within defined, documented tolerances. The balance between supplier-facing and internal work shifts with the maturity of the supply base and the product portfolio; both are permanent responsibilities of the role. AI at Hyliion At Hyliion, AI is core to how we work. We equip every team member with leading AI tools and count on you to use them — to move faster, solve harder problems, and help us realize the full potential of KARNO technology for the world. Duties and Responsibilities Supplier Metrology and Source Inspection Serve as Hyliion's technical lead for dimensional verification at key suppliers, including additive manufacturing partners, precision machining sources, and the magnetic assembly supply chain. Assess supplier measurement capability: equipment, environment,

Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. Job Purpose The Advanced Engineer, Power System Controls plays a key role in the design, development, and implementation of control software for Hyliion’s Karno Power Module. This position focuses on systems involving combustion, thermal management, pressure regulation, high-voltage, and power management. The engineer will be responsible for developing and validating control algorithms, tuning system parameters, and analyzing data to ensure performance meets engineering specifications. Additional responsibilities include preparing technical documentation, supporting root cause analysis, and ensuring timely, high-quality software delivery. The role requires cross-functional collaboration and occasional travel to support system testing and troubleshooting. Duties and Responsibilities Design, develop, and implement high-quality control software for Hyliion’s Karno Power Module, which includes combustion, thermal, pressure, high-voltage and power management systems. Define and conduct tests to verify software and tune control parameters to meet key performance indicators. Prepare reports and technical documentation related to system performance, control strategies, and compliance. Process and analyze data to verify software against engineering specifications, support root cause analysis and for optimizing performance. Ensure on time delivery with quality. Assist product team in defining customer requirements and generate corresponding engineering specifications. Qualifications Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Qualifications include: Education, Experience and Cert

Work Flexibility: Onsite What You Get Out of the Internship At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe — you’ll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As an intern, you will: · Apply classroom knowledge and gain experience in a fast-paced and growing industry setting · Implement new ideas, be constantly challenged, and develop your skills · Network with key/high-level stakeholders and leaders of the business · Be a part of an innovative team and culture · Experience documenting complex processes and presenting them in a clear format Who we want Challengers. People who seek out the hard projects and work to find just the right solutions. Teammates . Partners who listen to ideas, share thoughts and work together to move the business forward. Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts. <span style="co

Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. Job Purpose The Senior Manufacturing Engineer serves as the senior technical authority for assembly process and equipment design within the Industrialization team. This position designs the assembly lines, fixtures, and material flow systems that convert KARNO prototype and development builds into repeatable, scalable production operations — and then systematically removes waste, labor content, and variation from those operations. Working closely with industrialization leadership, design engineering, production, quality, and supply chain, the Senior Manufacturing Engineer owns the most complex assembly value streams end to end: line and station design, fixture and tooling design, material presentation and handling, process qualification, and continuous waste reduction. This position sets the technical standard for how assembly processes are designed and documented at Hyliion, provides mentorship and design review for other manufacturing engineers, and is accountable for measurable improvement in cycle time, first-pass yield, labor content, and ergonomics across the assembly areas. AI at Hyliion At Hyliion, AI is core to how we work. We equip every team member with leading AI tools and count on you to use them — to move faster, solve harder problems, and help us realize the full potential of KARNO technology for the world. Duties and Responsibilities Assembly Line and Cell Design : Design assembly lines, cells, and workstations for KARNO core, module, and subassembly operations. Establish work sequencing, balance work content to takt, define station layouts and footprints, and design lines that accommodate planned rate increases rather t

Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. Job Purpose The Mechanical Engineer is responsible for end-to-end hardware ownership of components and sub-systems for the KARNO generator, taking designs from CAD through prototype, test, and validation. Working across mechanical, electrical, software, and performance teams, this role designs and troubleshoots complex thermal and mechanical systems that must perform reliably across extreme operating environments and a wide range of fuels. The position exists to advance the development of Hyliion's fuel-agnostic power generation technology through hands-on, test-driven engineering and disciplined design execution. Duties and Responsibilities Own hardware components and sub-systems end-to-end—from concept through durability, manufacturability, serviceability, cost, weight, and validation—taking designs from CAD to hardware running on a test stand. Design components and sub-systems that must survive extreme thermal environments, perform across a wide range of fuels (20+), and push the boundaries of metal additive manufacturing. Create 3D models in NX and generate 2D prints with full GD&T per ASME Y14.5. Perform design checking and print review to ensure tolerances, processes, and material specifications align with Hyliion's GD&T standards (ASME Y14.5). Conduct fluid and thermal systems design and optimization. Perform structural and thermal FEA (ANSYS or equivalent). Install, calibrate, and read instrumentation for pressure, temperature, flow, strain, and acceleration in lab environments. Execute prototype build, test, and validation cycles early and often to identify and resolve issues in the lab rather than the field. Collaborate cross-functionally

Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. Job Purpose The Manager, Electrical Engineering is responsible for the electrical systems of the KARNO generator, including high-voltage power electronics, battery systems, low- and high-voltage architecture, wiring harnesses, and the hardware that converts linear motion into electrical output. This is a working manager role: the position leads and develops a team of electrical engineers while remaining directly involved in technical execution, including circuit architecture, schematic review, and hardware bring-up in the lab. The Manager is accountable for the technical excellence, safety, and reliability of the electrical engineering function, and for establishing the design standards and review practices the team works to. The position plans team capacity, owns hiring and development for the electrical engineering staff, and partners with mechanical, controls, supply chain, and program management on system integration. KARNO systems are deployed in data center, military, and industrial applications. AI at Hyliion At Hyliion, AI is core to how we work. We equip every team member with leading AI tools and count on you to use them — to move faster, solve harder problems, and help us realize the full potential of KARNO technology for the world. Duties and Responsibilities Own critical electrical designs personally, including regular time at the bench and in the test cell, while leading the team as a practicing engineer. Lead the electrical engineering team in the design and development of KARNO generator electrical systems, including high-voltage power electronics, battery systems, linear generator power stages, and low-voltage controls hardwar

Become a part of our caring community The Automation Engineer identifies and implements solutions (hardware and software) for improvement of the high-quality automation infrastructure. The Automation Engineer work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action. The Automation Engineer designs, programs, simulates, and tests automated processes, and is responsible for detailed design specifications and other documents. Understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas. Makes decisions regarding own work methods, occasionally in ambiguous situations, and requires minimal direction and receives guidance where needed. Follows established guidelines/procedures. Use your skills to make an impact Required Qualifications Bachelor's degree or relevant and equivalent years of experience in lieu of degree requirement. 4&#43; years of technical experience related to automation. Strong knowledge and understanding of Claude code Experience using AI coding assistants such as Claude code, Github, Copilot, or similar developer productivity tools. Hands-on experience leveraging Claude Code for test automation development, debugging, script generation, and software quality engineering. Experience developing automation using Java, Python, or JavaScript. Experience with Selenium, Playwright, Cypress, or equivalent frameworks. Experience testing REST APIs and backend services. Experience with CI/CD pipelines and automated deployments. 2&#43; years of experience in Software QA testing in a SAFe Agile environment. Strong experience with black box, web-service integration and server back-end testing.</

About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role We are looking for an experienced Mechanical Engineer with 7+ years of experience in design of IT hardware from chip/package to system levels. You’ll work alongside experts in thermal, mechanical, electrical, software, and systems engineering to support the design, analysis, and validation of mechanical and thermal systems that ensure the reliability, efficiency, and longevity of mission-critical hardware. This position requires strong analytical skills, hands-on testing experience, and the ability to work in a fast-paced, cross-disciplinary environment. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead mechanical design for AI supercomputer product in the data center application Collaborate with the cross functional team to design and optimize thermal solutions for data center hardware, including chips, power modules, and system-level cooling architectures Collaborate with cross-functional teams to integrate thermal management strategies into hardware design, from concept to mass production Design and validate mechanical systems, including chassis, enclosures, cooling systems, and high-power connections, ensuring alignment with performance and reliability standards. Perform 3D modeling, FEA, tolerance analysis, and prototyping, ensuring manufacturability and a

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We're seeking a Software Engineer to join our First-Party Hardware team. In this role, you will design, build, integrate, and validate the software used to manufacture, qualify, and deliver our hardware from the factory. You will work across the stack to create the infrastructure that runs internally and externally to coordinate all aspects of the production process. You will create the critical tools and procedures to execute, capture, process, and present the data resulting from the end to end assembly and validation of our hardware across multiple vendors and sites. This role is hands-on and high-ownership. You will work closely across teams both internal and external to define the standards that will be used across our products to ensure the velocity and quality of our 1P hardware. You will own the implementation, deployment, and output of these systems as well their continued maintenance and SLAs. Location: San Francisco, CA (Hybrid: 3 days/week onsite). Relocation assistance available. In this role, you will: Design, develop, and maintain the software infrastructure for manufacturing process execution and data export. Own integration across internal customers and vendor systems and processes. Build and maintain the CI, release, and delivery pipeline of tooling to external partners. Build and maintain internal systems to ingest, process, deliver, and visualize critical data for internal teams and systems. Build system health monitoring, telemetry, remote d

About the Team: OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. In this role you will: As a Hardware Test Engineer, you will work on Machine Learning/AI hardware system projects to craft the solutions for current and future data center deployments. You will bring a strong understanding of hardware system testing, excellent project management skills, and the ability to collaborate across multiple teams to ensure efficient lab operations. You will be responsible for designing, implementing, and executing comprehensive test plans that ensure the reliability, performance, and scalability of our supercomputing hardware systems. You will develop detailed test plans and methodologies tailored to hardware components, including processors, memory modules, custom accelerators and interconnects. You will collaborate with hardware design, manufacturing, firmware teams and vendors to identify, analyze, and resolve issues affecting hardware, power, thermal and high-speed interconnects. You will perform in-depth debugging on the hardware system Excellent analytical skills to diagnose hardware issues, troubleshoot problems, and propose solutions. Ability to interpret complex test data, identify trends, and draw meaningful conclusions. High-speed links, with a focus on SerDes (Serializer/Deserializer) technology to assess signal integrity, error rates, and overall link performance. You will collaborate with the lab manager to maintain the equipment and hardware systems, including oscilloscopes, thermal test chambers, liquid cooling systems, and other mea

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role You will build the model runtime within the inference engine that executes complex, frontier models at scale on OpenAI’s custom silicon. The runtime will sit between models running on the hardware and the upper layers of the cluster serving software stack, translating demanding inference workloads into efficient execution while optimizing for throughput, latency, utilization, and reliability. You will work across model architecture, distributed systems, compilers, kernels, and silicon to design a production-grade runtime comparable in ambition to systems such as vLLM and SGLang, but customized and optimized for OpenAI’s AI accelerator. Your work will shape how new model capabilities map onto the platform and how quickly custom silicon can deliver meaningful performance in production. In this role, you will: Design and implement the LLM inference runtime for frontier models running on custom silicon. Build scheduling, continuous batching, memory management, KV-cache management, and execution orchestration for high-performance inference. Develop distributed execution strategies across chips, hosts, and racks, including model partitioning, communication, and synchronization. Optimize end-to-end latency, throughput, memory efficiency, and hardware utilization across diverse model architectures and serving workloads. Partner with kernel, compiler, architecture, and silicon teams to co-design interfaces and remove performance bottlenecks across the stack. Enable new

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role You will build the low-level device runtime that turns compiled programs into efficient, functional and performant execution on OpenAI’s custom AI accelerator. This software will schedule kernel launches, manage device memory and address spaces, coordinate synchronization, and expose reliable abstractions to higher-level runtimes and frameworks. You will work at the boundary of software and hardware, partnering with compiler, kernel, architecture, verification, and silicon teams to define interfaces and validate behavior. You will also use and improve event-based, cycle-accurate simulation to develop runtime capabilities before silicon is available, diagnose performance and correctness issues, and guide hardware-software co-design. In this role, you will: Design and implement the low-level device runtime for OpenAI custom silicon. Build kernel-launch scheduling, command submission, queueing, dependency tracking, and completion handling. Manage device memory spaces, allocation, virtual-to-physical mappings, data movement, and lifetime across concurrent workloads. Implement synchronization primitives, events, barriers, streams, and ordering guarantees that are correct and efficient. Define clean interfaces between the runtime, drivers, firmware, compiler-generated code, kernels, and higher-level execution systems. Use event-based, cycle-accurate simulators to develop, validate, debug, and performance-tune runtime behavior before and after silicon availability. Di