Technical Writer in United States

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. The Systems Integration team is critical in this mission, turning complex hardware-software development into reliable product signals. We build the shared infrastructure, tooling, and lab environments that let teams test quickly, understand failures, and ship with confidence. About the Role As a Systems Integration Manager , you will lead the team responsible for device validation infrastructure, test automation, developer tooling, and lab operations. This is a player-coach leadership role: you’ll set technical and operational direction, build and develop a team of engineers and lab operations professionals, and stay close to the architecture and hardest systems problems. You will partner closely with device software, OS, firmware, hardware, reliability, QA, and release infrastructure teams to define validation strategy, improve release readiness, and ensure our test environments and quality signals scale with the product. Because this is a new category of devices, you’ll have the rare opportunity to build the validation foundation early—shaping the systems, standards, and operating model that will support products from prototype through launch. We’re looking for a leader who combines strong technical judgment with people leadership, operational rigor, and experience building reliable systems for complex hardware-software products. This role is b

Job Details: Job Description: Intel is looking for highly motivated individuals with strong technical background and capabilities to sustain, ramp, and transfer all technology nodes in Arizona. They will drive rapid continuous improvements in safety, quality, yield, reliability, cost, process stability/capability, and productivity while maintaining rigorous quality control. The role of a Process Integration and Yield Engineer is to deliver high-quality analytical insights that influences / directs the factory resources to minimize defects, control process parameters, and improve overall factory yields. All improvements and sustaining work is done in close collaboration and partnership with the process to improve the capability of the tools and processes. Responsibilities may include, but are not limited to: Performing detailed data analysis using various statistical/data mining tools to identify the root cause of defect and yield issues. Identifying exclusionary or baseline sources of defects or yield impacts and recommending/leading corrective actions/fixes. Lead/participate continuous improvement projects on products and processes for improved performance. Provide expertise on process flow segments. Lead/participate in multi-area problem solving teams to provide expertise to troubleshoot complex yield problems. The ideal candidate should exhibit the following behavioral traits: Solid analytical skills and a passion for data analysis and problem solving. Organizational skills with attention to detail. Excellent interpersonal skills with the ability to work with people at all levels. Communication and presentation skills to influence a wide variety of groups at all levels. Demonstrate excellent teamwork and leadership skills, demonstrated pro

Principal Embedded Firmware and Software Engineer Description - We are seeking a Principal Embedded Firmware & Software Engineer to lead the design, development, and debugging of embedded software and firmware for computer systems. In this role, you will combine deep, hands-on engineering expertise with system-level technical leadership to ensure seamless integration between software and hardware components, delivering reliable and efficient system performance. You will collaborate closely with cross-functional teams including hardware engineers, software developers, QA, and product managers to bring high-quality products to market. Responsibilities Provide technical leadership for the architecture, development, security, integration, debugging, validation, and deployment of embedded firmware and software including BIOS/UEFI, EFI applications and drivers, embedded controllers, and RTOS-based systems. Analyze hardware and system architectures to define firmware requirements, dependencies, interfaces, integration strategies, and validation approaches. Troubleshoot and resolve firmware issues by designing and implementing enhancements, updates, and programming changes across firmware subsystems. Define and drive firmware integration, verification, and validation strategies, including automated testing, regression testing, and continuous integration . Develop and improve engineering tools and automation using Python and other appropriate technologies for development, debugging, testing, analysis, and validation. Advance CI/CD and DevSecOps practices for embedded development to improve engineering velocity, quality, traceability, and release confidence. Evaluate and apply AI-assisted software development and engineering tools where they can improve developer productivity,

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. We are accepting applications for this position until 10/16/2026 Position Overview: Are you looking for a company to help prepare you for a successful career? The Multifamily Division within Freddie Mac is searching for talented, curious, and motivated individuals to support the division's technology initiatives, projects, and strategic objectives. Freddie Mac Multifamily is a dynamic organization, providing interns with opportunities to contribute to real-world software development projects while building both technical and professional skills. As a Software Development Intern, you will gain hands-on experience throughout the software development lifecycle, working alongside experienced engineers to design, build, test, and support applications that help advance Freddie Mac's mission. Our Impact: The Multifamily Technology team develops and maintains critical applications and digital solutions that support Freddie Mac's Multifamily business. Our teams leverage modern software engineering practices, Agile methodologies, cloud technologies, and AI-enabled tools to deliver innovative, scalable solutions. We collaborate closely with business and technology partners to solve complex challenges, improve operational efficiency, and deliver products that support Freddie Mac's role in the housing finance industry. Your Impact: Contribute to real-world software development projects and support initiatives that drive business and technology outcomes. Participate in all phases of the software development lifecy

Become a part of our caring community You have shipped AI products before. You understand the difference between a demo and a production system. You have strong opinions about evaluation frameworks because you have experienced the consequences of operating without them. You are at your best when you own architecture decisions while continuing to build and deliver critical code yourself. We build the platform that transforms millions of clinical documents into trusted, actionable data. Our systems use large language models (LLMs) to read medical records, extract structured facts, answer complex questions with citations back to source documents, and route complex cases to human experts. The output of these systems supports healthcare decisions that impact real members. As a Lead AI Applied Engineer, you will provide technical leadership for AI-enabled products and platforms, define architectural direction, establish engineering standards, and personally design and build the most critical components of our systems. You will lead through both technical expertise and execution, helping the team deliver reliable, scalable, and auditable AI solutions in a highly regulated healthcare environment. Why Join Us Lead the architecture of production AI systems where LLMs are foundational to the product experience. Make key technical decisions regarding model selection, system boundaries, platform architecture, and build-versus-buy strategies. Own the highest-risk and highest-impact technical challenges involving reliability, explainability, and correctness. Influence engineering culture and establish standards that shape how the team builds and ships AI products. Work on systems operating at meaningful scale, processing millions of documents and supporting healthcare decisions across a large member population. Partner

Become a part of our caring community Every large organization is making critical decisions today about how it will leverage AI over the next decade. Few have leaders who can both define that vision and demonstrate its viability through hands-on engineering. This role requires both. We build the platform that transforms millions of clinical documents into trusted, actionable data. Our systems use large language models (LLMs) to read medical records, extract structured facts, answer complex questions with citations to source documents, and route difficult cases to human experts. These capabilities support decisions that impact real healthcare outcomes for members. As a Principal AI Applied Engineer, you will define the technical strategy, architectural standards, and long-term vision for AI-enabled products across the organization. You will influence enterprise-wide decisions regarding AI platforms, model strategies, engineering standards, and technology investments while remaining deeply hands-on in prototyping, experimentation, architecture, and software development. This is the highest-level individual contributor role within the AI Applied Engineering organization. Success requires exceptional technical depth, organizational influence, strategic thinking, and the ability to translate emerging AI capabilities into scalable, reliable, and responsible production systems. Why Join Us Shape the long-term AI architecture and engineering direction for a large enterprise healthcare organization. Influence how AI-enabled products are designed, built, evaluated, deployed, and governed across multiple teams. Drive strategic decisions involving models, vendors, platforms, infrastructure, and shared capabilities. Prototype and validate emerging technologies before the organization invests at scale.</

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: Join our FDE team and work directly with some of the world's largest organizations to turn their most ambitious ideas into production applications on Replit. As a Forward Deployed Engineer, you'll partner closely with customers to understand their technical and business needs, architect solutions, and build the integrations and applications required to deploy Replit successfully within complex enterprise environments. This is a deeply technical and hands-on role. You won’t just advise customers on what to build—you’ll build alongside them. You’ll take applications from initial idea and prototype through deployment and production, navigate complex enterprise environments, and solve the technical challenges that emerge when AI-powered software development meets real-world infrastructure, data, security, and organizational constraints. You will: Build with Customers: Embed with strategic enterprise customers to design and build high-impact applications and AI-powered workflows on Replit, taking projects from initial concept through production deployment. Architect Enterprise Solutions: Design secure, scalable architectures that connect Replit with customers’ existing systems, data, APIs, identity providers, and infrastructure. Integrate with the customer's stack: SSO, data warehouses, internal APIs, and SaaS systems. Own Technical Deployments: Serve as the technical owner for complex enterprise implementations, identifying blockers, debugging issues, and driving projects through to successful production adoption. Bridge Customers and Product: Develop a deep understanding of how enterprises use Replit and translate field insights, technical constraints, and recurring customer needs into actionable feedback

NVIDIA is seeking a Senior Firmware Engineer to join our CSP Engagements team, focusing on system software for Datacenter products such as GB200. This role combines deep technical expertise in embedded firmware development with customer-facing responsibilities to enable cloud service providers with next-generation computing platforms. You will work at the intersection of hardware and software, driving technical solutions from concept through deployment. What you will be doing: Design and develop firmware solutions for manageability and observability of data center servers. Actively participate in hardware bring-up activities, OOB firmware development, protocol stacks (Redfish, PLDM, MCTP, NSM) and hardware-software co-design for Cloud Service Provider deployments. Debug and troubleshoot NVIDIA GPU firmware issues, power management, performance, and thermal control problems for data center deployments, providing active support to CSPs. Partner directly with CSPs to deliver technical solutions, co-develop & co-debug features and optimizations, and provide support during new product introductions. Perform advanced system debugging, root cause analysis, and performance optimization for large-scale data center environments. Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation. What we need to see: Deep expertise in data center server architectures, HPC systems, and hardware-software co-design. Deep expertise in embedded firmware, server management controllers, and hardware bring-up with proven track record of shipping production BMC solutions Strong knowledge of DMTF protocols (Redfish, IPMI, PLDM, MCTP, SPDM), telemetry frameworks, and out-of-band management architectures Expert-level skills in C/C&

We're looking for a Principal Software Engineer to join our CSP Engagements team as the technical focal point for GPU firmware and GPU system software, working directly with engineering teams of key CSP / hyperscale customers to ensure they can reliably manage, update, and operate NVIDIA GPU firmware at fleet scale. You will drive work streams with engineering teams of key CSPs/hyperscale customers to build shared understanding of GPU firmware and system software integration, incorporate their feedback into NVIDIA's feature roadmap and delivery plan, and ensure customer-side automation and recovery procedures are ready before each firmware release. Your cross-CSP visibility enables you to identify patterns in GPU firmware operational challenges that drive systemic improvements no single customer engagement could surface alone. What you'll be doing: Drive GPU firmware & siftware work streams with CSP engineering teams — ensuring they understand GPU firmware architecture (VBIOS, InfoROM, microcontroller firmware), update sequencing, recovery procedures, and GPU power management Gather and synthesize CSP feedback on GPU firmware/software — covering manageability, observability, security requirements (e.g., multi-tenancy isolation, secure boot, attestation), and performance — and champion those priorities into NVIDIA's GPU firmware/software feature roadmap and delivery plan Drive GPU firmware update orchestration for large-scale deployments — multi-GPU update sequencing, rollback strategy, failure handling, and validation across hundreds of GPUs per rack Serve as the technical focal point between NVIDIA and CSP firmware/software engineering — ensuring GPU behaviors (error recovery flows, thermal protection, power state transitions) are well-documented and accessible for customer integration Identify cross-CSP GPU SW/FW issue patterns — common update failu

About the team The OpenAI for Government team is a mission-driven group bringing frontier AI to the U.S. Intelligence Community (IC) and broader national security enterprise. We partner with intelligence professionals to deploy secure, compliant AI capabilities—including ChatGPT Enterprise, ChatGPT Gov, and the OpenAI API—in mission-aligned environments that meet rigorous security, privacy, reliability, and responsible-AI requirements. As part of the OpenAI for Government team, you will work across IC elements and mission partners—including ODNI, CIA, NSA, DIA, NGA, NRO, and other federal intelligence organizations—to help analysts, collectors, operators, and technical teams apply frontier AI to their highest-priority missions. We accelerate adoption through hands-on support, mission-specific workflows, tailored enablement, and measurable operational outcomes while preserving human judgment, analytic integrity, and protection of sensitive information. About the Role The Strategic Delivery Lead (SDL) for the Intelligence Community will identify, shape, and deliver OpenAI’s highest-impact deployments for U.S. intelligence organizations. You will help IC customers translate mission priorities—including all-source analysis, intelligence production, collection management, open-source and geospatial exploitation, cyber threat analysis, knowledge discovery, and analyst productivity—into secure, technically feasible AI deployments built on the OpenAI API and enterprise products. The role is highly cross-functional and customer-facing: you will partner with Research, Engineering, Go-to-Market, Security, Legal, Privacy, and government mission, acquisition, and technical stakeholders to align on scope, remove delivery obstacles, and communicate progress from working teams to agency leadership. You will own end-to-end execution of technical delivery workstreams led by Forward Deployed Engineers, Researchers, Solutions Architects, and Enablement teams. You will establish mission

About the Team Our mission at OpenAI is to discover and enact the path to safe, beneficial AGI. To do this, we believe that many technical breakthroughs are needed in generative modeling, reinforcement learning, large-scale optimization, active learning, and other areas. The team builds the performance-critical systems that allow OpenAI's models to run efficiently across a diverse set of AI accelerators. We work across the inference stack, from low-level kernels and compilers through model execution, to unlock the full capabilities of the underlying hardware. About the Role As a Software Engineer, Trainium, you will help bring OpenAI's inference workloads to AWS Trainium and build the software stack required to run cutting-edge frontier models efficiently on the platform. This is a deeply technical, cross-stack role spanning kernels, compilers, and model execution. You will work on the systems needed to support OpenAI's inference stack on Trainium, including developing and optimizing high-performance kernels, improving compiler support, and enabling efficient execution of the model forward pass. You'll work closely with engineers across inference, compilers, kernels, and ML systems to identify performance bottlenecks and build the software needed to take full advantage of Trainium. The work may range from low-level hardware-specific optimization to compiler and runtime improvements to integrating new model architectures into the inference stack. If you enjoy working at the intersection of ML systems, compilers, kernels, and accelerator hardware, this role is for you. We're looking for engineers who are self-directed, comfortable operating across abstraction layers, and excited to solve challenging performance problems for frontier-scale AI systems. In This Role, You Will Build and optimize OpenAI's inference stack for AWS Trainium. Develop high-performance kernels for critical model operations and workloads. Extend and improve compiler support to efficiently target

About the team The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, compliant AI tools (e.g., ChatGPT Enterprise in custom configurations) and mission-aligned deployments that meet government technical requirements with strong reliability and safety. As part of the OpenAI for Government team you will work across U.S. defense enterprises, helping to accelerate adoption through hands-on support, tailored training, and early insights—so civil servants can spend less time on red tape and more on meaningful work. If you're passionate about responsibly deploying frontier AI to uplift public institutions and transform how the government serves the American people, we want you on our team. About the Role The Strategic Delivery Lead (SDL) for DoW will identify and deliver on some of OpenAI’s most complex and high-impact deployments for the U.S. national security enterprise, with a focus on CDAO-led efforts including GenAI.mil , Advana (WDP), and other programs that accelerate DoW adoption of data, analytics, and artificial intelligence across the DoW enterprise. The role is highly cross-functional and customer-facing: You’ll partner with Research, Engineering, Go-to-Market, CDAO, the Military Departments and Services supported by CDAO, and other external stakeholders to align on scope, unblock delivery, and communicate progress at every level, from technical teams to C-suite. You will own and drive execution of technical delivery workstreams led by internal teams (Forward Deployed Engineers, Researchers, Solutions Architects, Enablement), ensuring clear problem-framing, crisp milestone definitions, proactive risk identification, rapid issue resolution, and effective translation between business objectives and technical solutions, while consistently communicating clear progress and demonstrating tangible value to national security cus

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. At Snowflake, we empower both enterprises and individuals to reach their full potential. Our culture prioritizes impact, innovation, and collaboration, making Snowflake the ideal place to build ambitious projects, execute quickly, and advance technology — and your career — to the next level. The Role We are seeking a Manager, Applied Field Engineering - AI/ML Product Specialists to lead a high-performing team of Applied Field Engineers within the Applied Field Engineering organization. In this hands-on leadership role, you will manage a team of Applied Field Engineers who specialize in Generative AI, Machine Learning, and Advanced Analytics. You will be responsible for coaching your team through technical sales engagements, driving execution excellence, and ensuring customers successfully activate and consume Snowflake's AI/ML capabilities. You will translate team-level insights into feedback that shapes broader strategy, working closely with your manager and cross-functional partners to align execution with organizational priorities. Responsibilities & Focus Areas: Technical Execution & Consumption Activation: Drive team performance toward Consumption Activation — ensuring customers successfully move workloads into production and realize contracted credit value Coa

As a Social Media Marketing Manager, you’ll shape Coder’s day-to-day social presence and turn complex AI infrastructure into content people want to watch. You’ll create for technical and business audiences without losing the broader story, using video, strong writing, and a clear point of view. You’ll work closely with Coder’s content marketing, community, field marketing, product marketing, demand gen, and devrel teams (and more) to support campaigns, engage our community, and strengthen Coder’s voice across Instagram, YouTube, LinkedIn, and X. From first idea to final post, you’ll create, publish, engage, measure, and improve. What you’ll do here Own social media engagement. Monitor Coder’s channels daily and respond to comments, mentions, and conversations in a voice that is technical, warm, and on-brand to increase engagement and get more of Coder’s content in front of the right audiences. Create vertical video content end to end. Produce short-form and long-form video for Instagram Reels and YouTube Shorts, including scripting, filming, editing, publishing, and optimization. Execute campaigns. Partner with the cross-functional teams to bring product launches, thought leadership series, customer stories, and event campaigns to life across social media platforms. Repurpose and remix. Turn webinars, blog posts, product demos, and other existing content into social-native formats built for each channel. Track and report. Monitor performance, identify patterns, share insights with the team, and use what you learn to shape the next round of content. Stay current. Keep up with platform trends, algorithm changes, emerging formats, and what is working across developer tools and B2B technology. Manage the content calendar. Keep production organized, maintain a steady publishing rhythm, and surface new ideas before they are requested. What we’re looking for 3+ years of experience creating content for a brand, agency, or independent audience, with a portfolio that shows ra

We are looking for a Senior Forward Deployed Engineer to join the Customer Solutions team. You will be the technical authority embedded with our most complex customers, guiding them through deployment, architecture, onboarding, and the adoption of agentic development workflows. You bring deep hands-on experience from prior roles and use that depth to advise, design repeatable patterns, and drive customer outcomes end to end. You operate autonomously, own the technical success of your customers, and bring their experience back to shape how Coder builds and delivers. This is not an execution-only role. You are equally comfortable doing deep technical work with a customer and stepping back to design the repeatable pattern behind it. You are energized by ambiguity, motivated by customer outcomes, and capable of influencing organizational change alongside the technical work. This position is required to sit in the Eastern Time Zone. What You'll Do Serve as the primary technical authority for post-sales customers, guiding deployment architecture, environment design, and adoption of Coder across both human and AI development workflows Own onboarding engagements end to end, ensuring customers move from contract to productive adoption with speed and confidence Lead Get Well engagements where architecture decisions, rollout patterns, or organizational dynamics are limiting customer health or growth Help customers implement the technical and organizational changes required to adopt agentic development practices at scale Design and document repeatable delivery patterns across onboarding, architecture, and adoption that can scale across customer segments Design and recommend reference architectures tailored to each customer's cloud environment, security posture, and organizational constraints Translate customer environment complexity into clear guidance on networking, ingress, identity, and infrastructure patterns Anticipate technical and operational risks, escalate to the right