The Software Engineer will support a strategic data platform and tooling migration initiative, transitioning business-critical operations from a third-party SaaS CRM (Salesforce) onto an internal ORM framework data platform with custom AI-native tooling built on top. The engineer will design and build tools on top of data pipelines, full-stack web applications, and integrations between systems, while leveraging AI-assisted development workflows to accelerate delivery. Work spans backend data modeling, ETL/streaming pipelines, frontend application development, and CRM platform integration and CRM Tooling.

Location (mandatory): Seattle, WA - Onsite The Software Engineers will support the Agentic Content Systems organization within Client Content, building AI-native tooling, agentic workflows, developer surfaces, and validation infrastructure across three sub-teams: Frontier, Forge, and Foundations. Work spans agentic workflow development, dashboard/surface engineering, rapid prototyping of AI-powered content tools, human-in-the-loop validation systems, and shared knowledge-layer infrastructure. Design, build, and ship agentic workflows that replace manual processes. Build and maintain tooling dashboards and surfaces that aggregate agentic signals for Content pillar leads, including new modules, pillar integrations, and UI iterations. Conduct high-velocity exploration of AI-native tooling, shipping rapid prototypes and killing bets that don't prove out. Discover, evaluate, and integrate new external and Client-internal AI build tooling into the Content org's development workflows. Build validation harnesses, eval pipelines, and supervised-handoff ("on-the-loop") workflows for production agents. Extend the Content Pod Manager registry and reporting infrastructure with pillar-specific customizations and leadership reporting surfaces. Extend shared knowledge layer capabilities, integrating new data sources and adapting to evolving Client search/retrieval infrastructure. Use and create AI-assisted development tools as a core part of the development workflow to accelerate delivery. Partner with pod leads, pillar stakeholders, and XFN partners to define requirements, scope prototypes, and iterate on deliverables. Document systems, APIs, and architectural decisions for handoff post-delivery.

About the Customer Experience (CX) team at Client is dedicated to improving customer experiences across the entire customer journey. As a Customer Experience Analyst, you will be part of a global practice focused on understanding and learning from our customers. You will leverage customer insights to drive business improvements and promote customer-centric decision-making throughout the organization. You will play a pivotal role in boosting customer satisfaction and loyalty by analyzing feedback, identifying areas for improvement, and collaborating with cross-functional teams to develop and implement strategies that enhance the overall customer experience. By combining your strong background in CX/VoC, expertise in data analysis and storytelling, and passion for customer centricity, you will help shape the future of our customer experience program and contribute to the growth and success of our organization.

Location: San Diego, CA 92123 Creates and updates sketches, working drawings, and contract documents using CAD software. Prepares 2D and 3D models and supports engineering documentation. Must be able to read and comprehend customer requirements, supplier specifications, engineering drawings, and blueprints. Requires familiarity with drafting techniques, engineering concepts, and terminology.

Location: Horicon, WI 53032 In addition, you will: • Facilitate/participate in cross functional teams in the application of quality-related development activities (e.g. DPAR's, FMEA's, control plans, design reviews, supplier audits, risk assessments, and root cause analysis). • Assist in identifying, communicating, and resolving supplier quality problems for PDP programs and current production. • Facilitate corrective action (8D process steps) for PDP programs and supplier quality issues • Ensure robust execution of Return Goods Authorization (RGAs); Supplier Change Requests (SCRs); quality plans, and supplier improvement activities as required

Location (mandatory): Sausalito, CA Client brings together a diverse and highly interdisciplinary team of researchers and engineers to create the future of wearable experiences. We are currently seeking systems engineers with a passion for technology to develop the next generation of smart, AI-powered wearable devices.

Location (mandatory): Redmond, WA or Sunnyvale, CA The main function of a firmware software engineer is to apply the principles of computer science and mathematical analysis to the design, development, testing, and evaluation of the software and systems that make computers work. A typical firmware software engineer designs, develops and tests operating systems-level software, compilers, and network distribution software for medical, industrial, military, communications, aerospace, business, scientific and general computing applications. Years of Experience: 8+ years of industry experience developing and testing low level firmware for embedded systems. 10+ years of solid programming skills using C and C++, and experience developing production code and test applications.

We're seeking experience a software engineering with a background in building web apps with 3+ years of experience in Python to help us build the next generation of computer-use agents. Your role will be to grow our app simulation pipeline for training and evaluating computer-use agents. You'll be contributing to the frontiers of AI agent research.

Location (mandatory): Lexington, MA • Develops new and/or integrates existing system simulation frameworks, performance models and algorithms, threat models and command and control models. • Develops software that simulates behavior of users and systems. • Develops, integrates and uses graphical user interfaces and visualization tools. • Models operational environments, performs trade studies via computer simulation and provides decision support for alternative architectures. • Performs operational analysis and mission effectiveness analysis. • May build and design training models.