• Refine developer, user, and agent journeys: Understand how developers, enterprise platform teams, partners, and customers, and their respective agents, consume NVIDIA AI software, then craft clear technical journeys supported by documentation, code examples, demos, and deployment guidance. • Showcase enterprise AI software workflows: Build demos, reference examples, notebooks, and sample applications that show how NVIDIA AI software components work together across model development, inference, RAG, agentic AI, evaluation, deployment, and operations. • Build compelling technical assets: Accelerate adoption by creating public-facing content such as product documentation, deployment guides, reference architectures, tutorials, blog posts, whitepapers, technical presentations, webinars, demo videos, and code examples. • Develop automation and docs-as-code workflows: Create repeatable examples and publishing workflows using Git-based documentation, CI/CD, scripts, templates, and AI-assisted docs or skills where appropriate. • Enable the field and partner ecosystem: Support solution architects, sales teams, cloud partners, ISVs, and ecosystem teams with technical assets that help them explain, deploy, and integrate NVIDIA enterprise AI software. • Collaborate across the stack: Work closely with Technical Marketing Engineering, Product Management, Engineering, Developer Relations, Field, and Marketing teams to turn product capabilities into practical adoption paths. • Capture feedback and improve the product experience: Use customer, partner, developer, and field feedback to identify gaps in usability, examples, documentation, deployment patterns, and product workflows. • Engage the developer and open source community: Advocate for NVIDIA AI software in developer, cloud-native, and open source ecosystems, encouraging adoption through clear examples and practical technical storytelling.

Role Description We are seeking an enthusiastic and motivated Associate Software Engineer to join our Master Data Management (MDM) product line within Precisely’s Data Integrity Suite. In this role, you will help build the backend systems that support Precisely’s next-generation MDM platform. You will work on enterprise-grade applications using Java, Python, and Angular to develop APIs, services, and data layers that manage trusted, high-quality enterprise data across integrations, workflows, and analytics. As part of an AI-first engineering organization, you will use AI tools as a core part of designing, building, testing, and operating software. You will be expected to apply AI to accelerate development, improve code quality, and strengthen problem-solving. You will work closely with engineers, architects, and product teams to deliver scalable, reliable, production-ready backend capabilities that address real customer needs. What you will do: - Design, develop, and maintain backend services using Java, Spring Boot, and REST APIs - Contribute to data models, API contracts, and service integrations for MDM workflows - Build systems supporting data ingestion, transformation, governance, and integration pipelines (aligned to MDM/DI ecosystem) - Use AI-powered tools to accelerate coding, debugging, testing, and design workflows - Implement clean architecture patterns (controller, service, repository) with strong separation of concerns - Implement structured logging and observability patterns (SLF4J, MDC context, correlation IDs) to enable production debugging and monitoring - Write high-quality unit and integration tests with proper mocking strategies to ensure code quality and maintainability - Debug and optimize performance, scalability, and reliability of backend systems - Apply observability best practices (logging, tracing, correlation IDs) to support production monitoring - Participate in Agile ceremonies, code reviews, and CI/CD practices - Collaborate cross-functionally with frontend, QA, product, and platform teams - Continuously learn and evaluate new technologies, especially in AI/agentic workflows and backend platforms Qualifications - Bachelor’s degree in computer science or related field - 1–2 years of experience in software development - Strong understanding of Java and object-oriented programming - Understanding of API design and application architecture - Basic knowledge of relational or NoSQL databases (SQL Server, Oracle, MongoDB, etc.) - Test-driven development mindset with understanding of unit test patterns, mocking strategies, and test quality gates - Understanding of concurrent programming fundamentals, including thread-safety contracts, immutability, and shared state management - Familiarity with async/reactive patterns (CompletableFuture, async services, event-driven workflows) - Strong problem-solving and communication skills AI Skills/Knowledge - Hands-on experience using AI tools for coding, debugging, and productivity (Copilot, Claude, ChatGPT, etc.) - Ability to evaluate and validate AI-generated code for correctness and performance - Interest in applying AI to data platforms, APIs, and backend workflows - Eagerness to adopt AI-assisted development practices as part of daily work Preferred Skills (a plus but not required) - Experience with Spring Boot, Hibernate, or microservices architecture - Exposure to cloud platforms (AWS, Azure) and distributed systems - Database knowledge (SQL/NoSQL) - Understanding of data platforms, MDM concepts, or data integration pipelines - Basic frontend awareness - Structured logging and observability (SLF4J, Logback, MDC context, correlation IDs, Datadog integration) - Event-driven architecture patterns, messaging standards (CloudEvents, async workflows, dead-letter routing) - Data mapping patterns and DTO design - ORM and query optimization (Hibernate, fetch strategies, lazy loading, pagination, N+1 query avoidance) - Defensive programming practices (null safety, input validation, guard clauses, failure atomicity) - Basic knowledge of Python or AI/ML concepts - Familiarity with CI/CD pipelines and DevOps practices

Role Description We are seeking an enthusiastic and motivated Associate Software Engineer to join our Master Data Management (MDM) product line within Precisely’s Data Integrity Suite. In this role, you will help build the backend systems that support Precisely’s next-generation MDM platform. You will work on enterprise-grade applications using Java, Python, and Angular to develop APIs, services, and data layers that manage trusted, high-quality enterprise data across integrations, workflows, and analytics. As part of an AI-first engineering organization, you will use AI tools as a core part of designing, building, testing, and operating software. You will be expected to apply AI to accelerate development, improve code quality, and strengthen problem-solving. You will work closely with engineers, architects, and product teams to deliver scalable, reliable, production-ready backend capabilities that address real customer needs. What you will do: - Design, develop, and maintain backend services using Java, Spring Boot, and REST APIs - Contribute to data models, API contracts, and service integrations for MDM workflows - Build systems supporting data ingestion, transformation, governance, and integration pipelines (aligned to MDM/DI ecosystem) - Use AI-powered tools to accelerate coding, debugging, testing, and design workflows - Implement clean architecture patterns (controller, service, repository) with strong separation of concerns - Implement structured logging and observability patterns (SLF4J, MDC context, correlation IDs) to enable production debugging and monitoring - Write high-quality unit and integration tests with proper mocking strategies to ensure code quality and maintainability - Debug and optimize performance, scalability, and reliability of backend systems - Apply observability best practices (logging, tracing, correlation IDs) to support production monitoring - Participate in Agile ceremonies, code reviews, and CI/CD practices - Collaborate cross-functionally with frontend, QA, product, and platform teams - Continuously learn and evaluate new technologies, especially in AI/agentic workflows and backend platforms Qualifications - Bachelor’s degree in computer science or related field - 1–2 years of experience in software development - Strong understanding of Java and object-oriented programming - Understanding of API design and application architecture - Basic knowledge of relational or NoSQL databases (SQL Server, Oracle, MongoDB, etc.) - Test-driven development mindset with understanding of unit test patterns, mocking strategies, and test quality gates - Understanding of concurrent programming fundamentals, including thread-safety contracts, immutability, and shared state management - Familiarity with async/reactive patterns (CompletableFuture, async services, event-driven workflows) - Strong problem-solving and communication skills AI Skills/Knowledge - Hands-on experience using AI tools for coding, debugging, and productivity (Copilot, Claude, ChatGPT, etc.) - Ability to evaluate and validate AI-generated code for correctness and performance - Interest in applying AI to data platforms, APIs, and backend workflows - Eagerness to adopt AI-assisted development practices as part of daily work Preferred Skills (a plus but not required) - Experience with Spring Boot, Hibernate, or microservices architecture - Exposure to cloud platforms (AWS, Azure) and distributed systems - Database knowledge (SQL/NoSQL) - Understanding of data platforms, MDM concepts, or data integration pipelines - Basic frontend awareness - Structured logging and observability (SLF4J, Logback, MDC context, correlation IDs, Datadog integration) - Event-driven architecture patterns, messaging standards (CloudEvents, async workflows, dead-letter routing) - Data mapping patterns and DTO design - ORM and query optimization (Hibernate, fetch strategies, lazy loading, pagination, N+1 query avoidance) - Defensive programming practices (null safety, input validation, guard clauses, failure atomicity) - Basic knowledge of Python or AI/ML concepts - Familiarity with CI/CD pipelines and DevOps practices Benefits - This position is 100% remote anywhere in the US

Role Description We're looking for an AI implementer who lives and breathes AI agents. Your job is to cut through the noise of what's out there, figure out what actually works, and wire it into our business — building the agents that drive our outbound and growth, and the internal AI infrastructure the whole company runs on. - Build and connect AI agents and automations across the company - Set up outbound and growth systems: lead scraping, enrichment, and automated engagement — e.g. agents that monitor Reddit and forums for people looking to hire and engage them - Stand up a central "company memory" with specialized sub-agents that feed off it - Continuously evaluate new AI tools and frameworks, run experiments, and ship what works - Own automations end-to-end, from idea to working system Qualifications - Hands-on experience building with AI agents and automation tools (n8n, Zapier, agent frameworks, LLM APIs) - Comfortable with APIs, prompt engineering, and stitching tools together - A fast, self-directed experimenter who can cut through hype and ship - It would be great if you had business development or sales experience - Bonus: coding ability