Build the systems that deliver Simulation Technology knowledge to developers, partners, internal teams, and the AI agents that increasingly sit between them and our documentation. Our KnowledgeOps team sets the information architecture and quality standards for Omniverse, Isaac Sim, and OpenUSD documentation. You'll build the automation, pipelines, and AI-ready infrastructure that apply those standards at scale, and work with documentation leads to refine the architecture based on what you learn. You're a writer who builds: as comfortable in Git, CI, or Python as in a style guide, and fluent with LLMs in daily work. We build systems where the right way is easier than the wrong way. For you, that means turning documentation, standards, and tribal knowledge into tooling, templates, and self-service paths, so fewer people have to ask "how do I…?" What you'll be doing: Collaborate with documentation leads on knowledge architecture, sharing implementation feedback (what works, breaks, and scales) to refine content models, information architecture, and AI-readiness patterns Build and run docs-as-code pipelines: Git authoring, CI/CD builds, linting, link and code-sample validation, and publishing Make knowledge AI-ready: structure and package content for RAG, internal assistants, and agentic workflows, including llms.txt, MCP-accessible sources, agent skills and context kits, and evaluation sets for answer accuracy Automate the content lifecycle with LLMs and scripting, from drafting and updating to auditing, with checks for freshness, code accuracy, and terminology drift, and human review where judgment matters Encode standards (user stories, release readiness, onboarding, security guidance) into templates, validators, and guided workflows rather than static documents Capture tribal knowledge from engineering, product, and operations, and turn it into playbooks, decisi
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This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride. Job Summary Designs and delivers scalable software solutions, applying strong engineering practices and technical judgment. Plans and executes defined projects with minimal guidance while collaborating across functions. What you’ll be doing Plan and deliver defined software projects, including schedules, dependencies, and coordination with development and support teams. Design, architect, develop, test, and maintain scalable .NET applications, APIs, and microservices. Design and implement integrations using REST APIs, WebSockets, SignalR, and real-time voice communication technologies. Apply HIPAA-aligned security practices for data handling, authentication, voice communications, messaging, and notifications. Develop clean, maintainable code and dri
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Join our team in Santa Clara to lead engineers building rack-scale infrastructure software that makes complex hardware manageable and programmable. You will own delivery of control planes, lifecycle orchestration, system health, and recovery capabilities, working across hardware, firmware, networking, and operations teams to support customer deployments at rack and fleet scale. What you'll be doing: Take ownership for the delivery of rack-scale infrastructure software within a cross-functional organizational structure. Coordinate commitments, address ownership gaps, and stay accountable for results from requirements to production adoption and support. Translate business needs and evolving hardware roadmaps into release priorities and achievable plans. Balance staffing, dependencies, and technical risk across projects as priorities change. Partner with architects and technical leads on control planes, lifecycle orchestration, health analysis, and recovery. Guide engineering tradeoffs and ensure a consistently high standard for reliability, security, and maintainability. Build and develop the team through hiring, mentoring, and clear performance expectations. Grow technical leads and future managers, delegate impo
We are looking for a Sr. Engineer to design, build, and scale the infrastructure powering NVIDIA’s AI agent ecosystem. You will work at the intersection of distributed systems, developer platforms, and agentic AI — building the foundational services that enable teams across the company to develop, deploy, orchestrate, and operate autonomous AI agents at production scale. What you will be doing: Build and develop platform services that manage the full agent lifecycle from registration through deployment, execution, and teardown Architect multi-tenant Kubernetes execution environments with pod lifecycle management, per-tenant namespace isolation, persistent storage, admission policy enforcement, and identity propagation Develop and maintain automated CI/CD pipelines using GitLab CI and ArgoCD, including reusable pipeline templates and deployment blueprints that standardize how agents are built across teams Build framework-agnostic infrastructure supporting multiple agent SDKs and harnesses — lifecycle hooks, skills configuration, memory services, and OTEL instrumentation — so teams can onboard new agent frameworks without platform changes Build and operate Kafka-based message pipelines and real-time event streaming using Redis PubSub and SSE Develop data ingestion pipelines, access interfaces, and storage layers that power AI agent knowledge and context Implement session management for state persistence, conversation history, and agent recovery across sessions Develop multi-layer auth using OAuth 2.0, JWT validation, token exchange, and gateway integration, and manage secrets lifecycle with Vault (provisioning, rotation, container injection) Partner with security teams on compliance, access controls, and approval workflows for agent operations What we need to see: Bachelor's or Master's degree in Computer Science, Engineering, or
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Software Engineer II (Java/Spring) Job Overview: As a Software Engineer II, you will: • Design, develop, test, and maintain backend services, APIs, and integration components that support business and technology capabilities. • Build secure, scalable, and maintainable software solutions using modern engineering practices. • Develop and support RESTful APIs, service-to-service integrations, and data exchange patterns across internal platforms. • Collaborate with product owners, architects, software engineers, data engineers, and data scientists to translate requirements into technical solutions. • Participate in design discussions, code reviews, testing, and release activities to ensure high-quality software delivery. • Apply secure coding, logging, monitoring, and operational readiness practices throughout the development lifecycle. • Troubleshoot production issues, perform root cause analysis, and contribute to long-term improvements in reliability and supportability. • Contribute to automation, CI/CD pipelines, and engineering process improvements that reduce manual effort and improve delivery speed. • Follow Mastercard technology, security, privacy, and compliance standards in the design and implementation of solutions. Essential Skills & Experience • 3+ years of h
ROLE SUMMARY Clinical development & Operation is a critical domain where scientific innovation is translated into evidence that supports new medicines and improves outcomes for patients and trial participants globally. It operates at the intersection of clinical operations, data science, digital platforms, external partners, and global regulatory expectations, requiring solutions that are scalable, compliant, user-centered, and trusted across diverse stakeholders. Digital platforms, data products, and AI-enabled capabilities are increasingly essential to improving clinical trial planning, execution, monitoring, and decision-making. This role helps deliver responsible technology solutions that strengthen data quality, reduce operational complexity, support audit readiness, and enhance the experience of clinical teams, investigators, and participants while keeping participant safety at the center of the domain As a Sr. Associate, AI and Analytics Data Engineer, you will be part of a global team responsible for engineering the trusted, scalable, and governed data foundation for a major AI-driven platform serving the Clinical Development and Operations domain. You will design and build reusable data products, pipelines, and processing frameworks that integrate complex clinical, operational, and external data; enable advanced analytics, machine learning, and generative AI use cases; and meet enterprise expectations for security, privacy, quality, lineage, reliability, and regulatory compliance. Join our diverse team in making an impact on patient health through the application of cutting-edge technology and collaboration. ROLE RESPONSIBILITIES Design, build, test, and operate scalable batch and streaming data pipelines that ingest, standardize, and integrate clinical, operational, scientific, and external
Job Details: Job Description: The Role and Impact As a SoC Logic Design Engineer, you will be responsible for creating and optimizing the Register Transfer Level (RTL) design for System-on-Chip (SoC) projects. You will integrate logic of IP blocks and subsystems into complete SoC designs, ensuring power, performance, and timing requirements are met. Your work will play a critical role in delivering high-quality designs that enable Intel products to excel in cutting-edge technologies. Business Group Intel Corporation is a global leader in semiconductor innovation, enabling advancements in computing and connectivity. This role is within our System-on-Chip (SoC) design engineering team, which focuses on developing high-performance, reliable, and secure solutions. Join a group that drives technology leadership and supports Intel's mission to power a world enriched by data. The primary responsibilities for this role will include, but are not limited to: Develop RTL designs for SoC, integrating IP blocks and subsystems into full chip designs. Participate in defining architecture and microarchitecture features for design blocks. Perform quality checks on logic design aspects, ensuring convergence in timing, power, and functionality. Apply strategies and tools to optimize logic for power, performance, area, and timing goals. Review verification plans to validate design features and resolve issues in RTL tests. Follow secure development practices to address security requirements within designs. Work with IP providers to integrate and validate IPs at the SoC level. Drive quality assurance compliance for smooth IP-to-SoC handoff. Qualifications: Minimum Quali
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Manager, Franchise Growth & Enablement team Who is Mastercard? Mastercard is a global technology company in the payments industry, operating as the world’s fastest payment processing network. Our mission is to connect and power an inclusive, digital economy that benefits consumers, financial institutions, merchants, governments and businesses in more than 210 countries and territories. Safety and security are top priorities and we continually find opportunities to make transactions safe, simple, smart, and accessible. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company to help others realize their greatest potential and unlock priceless opportunities. Overview Franchise is core to all Mastercard business. Franchise enables business growth and value, fostering interactions with customers which provides ongoing trust and confidence in the evolving payments and data driven ecosystem. The North America (NAM) Franchise Customer Onboarding & Partnership team is seeking an experienced professional for the Manager, Franchise Customer Onboarding & Partnerships role. This individual will be a key contact for customers and internal stakeholders, supporting Specialty Merchant and Service Provider lifecycle management, Network Enablement Partner
Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Responsibilities You will involve in the application lifecycle management for software systems in a highly automated semiconductor manufacturing environment Develop a keen understanding of IT and Manufacturing Automation trends and apply the knowledge to participate in technical and business analysis sessions to understand requirements. Collaborate with global IT team from divest backgrounds and experiences to convert those requirements into effective and efficient technical solutions. Serve as IT technical authority within Micron, provide advice and recommendations to senior management on improvements from processes, procedures and software system development. Ensure Secure Software Development Lifecycle standard, requiring adherence to security best practices during development, deployment and maintenance; includes risk assessment, secure coding standard and guidelines, and compliance with internal governance framework. Ensure a good quality software releases with detail software acceptance testing, verification and end-users training. Keep applications software and hardware systems to the most current production releases version by applying update and patches as required. Develop capabilities to prevent unscheduled downtime wi
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. 1.Partner with IT support teams to resolve issues that impact Micron production operations. 2.Proactively monitor and drive AMHS and equipment target performance, addressing issues in a timely manner to support Fab quality, cycle time, yield, and cost objectives. 3.Schedule and perform preventive maintenance on assigned equipment, using mechanical, electrical, electronic, and software solving skills to diagnose and resolve equipment issues. 4.Support AMHS and tool installation, relocation, modification, and upgrade activities. 5.Collaborate with equipment vendors and internal team members to resolve chronic process issues and recover long-term down equipment. 6.Improve equipment uptime through quality workmanship, systematic problem solving, and effective fixing methodologies. 7.Document all maintenance activities using established checklists and tracking systems, and regularly review maintenance procedures to ensure effectiveness and compliance. 8.Keep the Lead Engineer and Manager informed of AMHS-related issues, equipment performance concerns, and long-term downtime status. 9.Comply with all safety, environmental, and operational procedures to ensure alignment to applicable laws and company standards. 10.Actively participate in the Environmental, Health, Safety, and Security (EHSS) program by promptly reporting concerns, incidents, or unsafe conditions to the appropriate personnel. 11.Proactively identify and mitigate potential safety hazards, environmental risks,
Senior Software Engineer - Lab Provisioning & Integration Company: The Boeing Company The Boeing Company is currently seeking a Senior Software Engineer - Lab Provisioning & Integration in Berkeley, MO . You will apply sophisticated engineering principles and deep expertise to architect and deliver highly scalable, secure, and resilient lab environments supporting critical multi-program integration and test activities. You will lead initiatives requiring creativity and ingenuity, influence organizational technical direction, and provide leadership and mentorship in cloud infrastructure, automation, and DevSecOps. This role carries significant responsibility for ensuring technical excellence, delivering innovative solutions to complex challenges, and acting as a primary technical liaison with internal teams and external stakeholders. Position Responsibilities: Advanced Lab Environment Leadership: Apply specialized knowledge and insights to architect, provision, and optimize complex lab/test environments on-premises and across cloud platforms (Azure, AWS) using Infrastructure as Code (Terraform, Ansible). Establish and standardize best practices. Integration Testing Architecture: Lead the design and continuous improvement of enterprise-wide automated integration testing workflows involving multiple program segments, ensuring comprehensive, data-driven feedback and rapid resolution of cross-segment integration issues. Strategic Deployment Pipeline Ownership: Drive innovation in deployment mechanisms and pipelines for physical and virtual systems, ensuring scalability, security, repeatability, and operational excellence aligned with long-term organizational obj
NVIDIA’s EDA Infrastructure organization builds and operates the systems that support chip development. We are looking for an engineering manager to lead the team responsible for operational processes and platforms across incident management, maintenance, on-call, issue management, and customer-serving readiness. You will own the roadmap and delivery, from defining how teams work to building the tools they use. You will partner with infrastructure and service owners to improve reliability, reduce manual work, and ensure services are ready to support customers. Your team will use automation, AI, and lessons from operational events to drive improvements. What you’ll be doing: Lead a team and own the roadmap for operational processes and platforms, from requirements and delivery through adoption and results. Set technical direction, prioritize work, and guide execution across engineering and operational disciplines. Partner with infrastructure, product, and security teams to establish consistent practices for incident response, maintenance, on-call, issue management, and customer-serving readiness. Hire and develop engineers and technical leads, building a team with clear ownership and accountability. Align priorities across teams, communicate progress and risks, and provide technical leadership during major incidents. What we need to see: <span style="co
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. Position Overview: Are you looking for an opportunity to realize the art of possible in an iterative approach to bring to life some of the most intuitive and useful platform features in Workday? We are searching for a creative and talented Workday Senior Analyst to join our exciting team. Apply now and learn why there’s #MoreAtFreddieMac! Our Impact: The Enterprise Business Technology office supports the Freddie Mac enterprise including Finance, Supply Chain, Treasury Operations, Accounts Receivable and Billing, and HR business areas by designing and implementing technical solutions for ERP applications including Workday. Your Impact: This position is responsible for designing and delivering new applications, enhancements, and supporting Enterprise ERP applications including Workday. This role includes partnering with Freddie Mac Business Owners to plan and execute roadmaps as well as deliver technical projects that align with enterprise architecture, project methodology, and budget. Qualifications: 5+ years of software analysis experience in Workday 5+ years of designing, configuring, testing, deploying and maintaining Workday including experience with security and reporting 4+ years of experience working with Workday Financials application Experience with Accounting Center and Prism is preferred Workday Certification preferred Financial Industry experience preferred Bachelor’s degree in finance, computer science, or related discipline; or equivalent work experience <p
The NVIDIA DGXC Data Services team builds cloud-native systems, frameworks, and services for managing data across hybrid and multi-cloud infrastructure. We are building the next-generation data and storage infrastructure to solve some of the hardest problems in AI: storage, access, ingestion, governance, observability, and data management for exabyte-scale, high-performance GPU-based training and inference jobs. Our work gives NVIDIA teams the foundational capabilities they need to build, train, deploy, and operate AI products at scale without reinventing critical data infrastructure for every workload. What you will be doing: Build storage technologies, client libraries, and filesystem frameworks that help AI workloads access data across object stores, file systems, and hybrid cloud infrastructure. Develop high-performance storage paths for training and inference workflows, including data loading, checkpointing, caching, POSIX-style access, and object-store integration. Build observability systems that diagnose storage bottlenecks, attribute GPU idle time to I/O behavior, and expose actionable telemetry through production monitoring stacks. Improve performance, scalability, and reliability of storage systems serving massive datasets, deep directory trees, and high-concurrency AI workloads. Work closely with internal AI teams, platform teams, SRE, and operations to validate storage behavior against real workloads and production environments. Use modern software engineering practices, including AI-assisted and agentic development workflows, while maintaining high standards for design, testing, security, performance, and verification. What we need to see: BS in Computer Science, Information Sys
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Executive Director, Software Engineering – AI Solutions will lead the design, development, and delivery of AI-powered software products and platforms that drive the Health100 strategy. Reporting to the VP of Engineering, this leader will be responsible for building and scaling a high-performing software engineering organization focused on leveraging Generative AI and agentic technologies to solve complex healthcare and business challenges. This role serves as the senior engineering leader responsible for translating business opportunities into production-grade software solutions. The Executive Director will define technical strategy, lead multiple engineering teams, establish engineering excellence practices, and partner closely with Product, Security, and Business stakeholders to deliver innovative AI-enabled applications at enterprise scale. The ideal candidate combines deep software engineering leadership experience with a strong understanding of modern AI technologies and a proven ability to build and scale engineering organizations that deliver measurable business outcomes. Key Responsibilities Lead software engineering teams responsible for the design, development, deployment, and support of AI-powered applications and platforms. Establish engineering best practices, software development standards, architecture governance, and operational excellence.
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