Overview
Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
Responsibilities
We are seeking an experienced Software Development Engineer to design and build end-to-end full-stack applications, encompassing intuitive frontend user interfaces and scalable backend services. This role involves developing responsive, user-friendly UI components using modern frameworks such as React or Vue, alongside building robust backend APIs and services (REST/GraphQL) to support application logic and data processing.
You will integrate AI/ML capabilities, including large language model (LLM) APIs and other inference services, into production-ready systems, while architecting efficient data pipelines for ingestion, transformation, and storage to enable AI-driven features. The role requires optimizing performance, scalability, and reliability across the full stack, and working closely with R&D, product, and design teams to translate concepts into functional, user-facing solutions. You will operate in a fast-paced R&D environment, rapidly prototyping and iterating while maintaining high engineering standards, and contributing to architectural decisions and team mentorship.
Key Responsibilities
· Design and develop end-to-end full-stack applications, including frontend interfaces and backend services
· Build responsive, high-performance UIs using modern frameworks (e.g., React, Vue)
· Develop and maintain scalable backend systems and APIs (REST/GraphQL)
· Integrate and operationalize AI/ML capabilities (e.g., LLM APIs, inference services) into production systems
· Architect and implement data pipelines for AI-driven applications
· Ensure performance, scalability, and reliability across frontend and backend systems
· Collaborate with cross-functional teams to deliver user-facing features
· Rapidly prototype and iterate on new ideas in an R&D environment
· Implement state management, caching, and asynchronous workflows for real-time interactions
· Design and manage cloud-based infrastructure (AWS)
· Apply best practices in code quality, testing, CI/CD, and system monitoring
· Monitor, debug, and optimize production systems (logging, observability, performance tuning)
· Ensure security and data privacy in system design
· Mentor junior engineers and contribute to technical leadership
Qualifications
Must-Have Qualifications
· Master’s degree in Computer Science, Software Engineering, or a related field, with 5+ years of experience in full-stack software development
· Strong frontend expertise (React, Vue, or similar) and solid backend development skills (Python, Node.js, Java, or equivalent)
· Proven experience designing and building scalable APIs and systems, with strong fundamentals in system architecture and software design
· Hands-on experience integrating AI/ML services (e.g., LLM or inference APIs) into production applications
· Experience with cloud platforms (AWS) and modern development practices (version control, testing, CI/CD)
· Demonstrated experience building scalable summarization/information extraction pipelines and production-grade anomaly detection or predictive models on numerical/time-series data
· Familiarity with Agile/Scrum methodologies and rigorous validation of ML/GenAI systems (evaluation metrics, bias/risk assessment)
· Strong problem-solving skills, ability to work independently, and effective cross-functional communication
· Fluency in English, including technical communication
Strongly Preferred
· Experience building AI-powered applications involving LLMs, generative AI, or real-time inference systems
· Familiarity with ML workflows, model evaluation, and performance optimization
· Experience developing data-rich, interactive UIs (dashboards, visualizations, graphics-heavy applications)
· Hands-on experience with cloud-native architectures and containerization (Docker, Kubernetes)
· Experience with asynchronous processing, streaming systems, or real-time data pipelines
· Background in R&D or fast-paced product environments with rapid prototyping cycles
· Exposure to MLOps practices, monitoring, and observability tools
· Experience mentoring engineers or contributing to technical leadership
· Experience with Model Context Protocol (MCP) for standardized, secure integration between LLM systems and external data sources, tools, or enterprise services.
