Expert R&D Software Engineer - AI / ML

is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more 

Our 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.

We are seeking an Expert R&D Software Engineer to lead the design and development of advanced AI-powered applications, driving end-to-end architecture across frontend, backend, and AI/ML systems. This role requires deep technical expertise to define system architecture, guide implementation, and ensure scalability, reliability, and performance of complex, production-grade solutions.

You will lead the integration of AI/ML capabilities, including large language models (LLMs) and advanced inference systems, into enterprise applications, while architecting robust data pipelines for large-scale data processing and AI-driven features. In addition to hands-on development, you will play a key role in shaping technical direction, establishing best practices, and mentoring engineers, operating as a technical authority within a fast-paced R&D environment.

Key Responsibilities• Lead architecture and design of end-to-end AI-powered full-stack systems, spanning frontend, backend, and data/ML layers• Define and drive technical strategy for integrating AI/ML capabilities into scalable, production-grade applications• Design complex, high-performance frontend systems and user experiences for AI-driven workflows• Architect and oversee scalable backend services, APIs, and distributed systems• Establish and optimize data pipelines for large-scale ingestion, processing, and AI model integration• Ensure system-wide performance, scalability, reliability, and security across the full stack• Provide technical leadership across teams, guiding design decisions, code quality, and engineering standards• Mentor senior and junior engineers, fostering technical growth and best practices• Collaborate with product, R&D, and leadership to translate business needs into technical solutions and roadmaps• Drive rapid prototyping and experimentation while ensuring a path to production-quality systems• Lead adoption of modern engineering practices (CI/CD, observability, MLOps, cloud-native architecture)
• Evaluate and introduce new technologies, frameworks, and AI approaches to advance product capabilities

• Master’s or PhD in Computer Science, Software Engineering, or a related field, with 8–12+ years of experience in software engineering, including significant full-stack development• Proven track record of architecting and delivering large-scale, production-grade systems with full-stack ownership• Deep expertise in frontend (React, Vue, or similar) and backend technologies (Python, Node.js, Java, or equivalent)• Strong experience integrating AI/ML systems (e.g., LLMs, inference services) into real-world applications at scale• Demonstrated success building scalable data pipelines, including summarization/information extraction and anomaly detection or predictive models on structured/time-series data• Strong knowledge of system design, distributed systems, and software architecture principles• Experience with cloud platforms (AWS) and cloud-native architectures• Strong leadership, mentorship, and cross-functional collaboration skills• Experience working in R&D or highly ambiguous environments, with the ability to drive from concept to production
• Fluency in English, including technical communication

Strongly Preferred • Experience leading technical architecture across multiple teams or large-scale systems• Hands-on experience with generative AI, LLM orchestration, and agent-based systems• Experience with advanced frontend architecture for complex, data-rich or AI-driven applications• Expertise in containerization and orchestration (Docker, Kubernetes) and scalable distributed systems• Experience with streaming systems, real-time data pipelines, and event-driven architecture• Familiarity with MLOps practices, model monitoring, and evaluation frameworks• Experience with Model Context Protocol (MCP) or similar frameworks for standardized AI system integration
• Track record of driving innovation, introducing new technologies, or influencing engineering strategy at an organizational level

***Keysight is an Equal Opportunity Employer.***