Total 7 Science / R&D / Research job vacancies

Job Duties

• Under broad direction, leads the selection and development of composites, elastomers, plastics, lubricants, and other non-metallic material systems across multiple complex projects, applying advanced materials engineering principles.
• Drives end-to-end materials development, including formulation, processing, qualification, and field deployment.
• Serves as a subject matter expert in non-metallic materials and processes for molded, formed, and formulated products.
• Leads investigation and deployment of alternative materials and processes to improve performance, reliability, and cost.
• Integrates data-driven and AI-enabled approaches into materials design, optimization, and scale-up workflows.
• Provides technical leadership on strategic material sourcing and supplier engagement.
• Advises on resolution of complex field and manufacturing issues, with direct impact on product performance and service quality.
• Embeds reliability, HSE, quality, and project management rigour across all activities.
• Contributes directly to value creation through technology differentiation and performance improvement.

Requirements

• Undergraduate degree in Materials Science, Chemistry, Chemical Engineering, or related discipline with ~10–15 years of relevant experience.
• Advanced degree (MS/PhD) preferred.
• Demonstrated depth in non-metallic materials systems (polymers, elastomers, composites) and their processing.
• Experience applying data science and/or AI/ML methods to accelerate materials development or optimize performance is highly desirable.
• Track record of leading complex technical programs and influencing cross-functional stakeholders.

Key priorities/expectations

• Deliver differentiated non-metallic material systems for demanding applications.
• Accelerate development cycles through integration of modelling, data, and AI tools.
• Provide technical leadership across projects and mentor junior engineers/scientists.
• Anchor reliability and field performance in all material selections and designs.

Key skills & competencies

• Non-metallic materials systems (polymers, elastomers, composites)
• Materials development & qualification (formulation → field deployment)
• Data-driven / AI-enabled materials design and optimization

The candidate will support product development for isolation products in automotive and industrial applications. The roles and responsibilities include:

• Responsible for product definition, design, test, and characterization of new isolation products.
• Carry out R&D programs with cross-functional teams such as IC design engineering, test engineering, process engineering, product engineering, quality engineering, manufacturing team, and contract manufacturer to develop and perform product validation of new isolation products.
• Initiate, plan and carry out engineering programs to achieve targets, breakthrough improvement in new product manufacturing yield, quality and reliability.
• Perform product yield analysis and failure investigation of device issues.

Requirements:

• Degree, Masters or PhD in Electrical/Electronics/Computer engineering with 7 years or more experience in semiconductor R&D product development and relevant field.
• Strong expertise in analog design, opto-electronics design, and/or power MOSFET design.
• Strong analytical problem-solving skills and the ability to collaborate in cross-functional team environments.
• Possesses strong technical engineering skills in semiconductor product characterization, yield analysis and improvement, bench test setup, and ATE testing.
• Experience in statistical analysis tools for volume data analysis and semiconductor physical failure analysis.
• Experience in NPI project leadership and taking product from verification/ qualification to high volume soft launch is a plus.

The candidate will be involved in IC product development and verification which could include one or more of the following areas:

• Analog circuit design from architecture to transistor level, post extraction verification and design modifications to meet requirements
• Digital logic design, verilog coding, logic synthesis, both RTL and gate level verification, formal verification and static timing analysis as well as place and routing.
• Full chip analog or digital mixed signal verification
• Layout high speed, high performance analog/mixed-signal custom integrated circuits
• Product validation including post silicon validation planning, execution, and post silicon issue debugging

Requirements

• Bachelor of Science degree in Electrical Engineering (or related field) +8 years of analog/mixed signal IC design, verification, layout and validation experience or
• Master of Science degree in Electrical Engineering (or related field) +6 years of analog/mixed signal IC design, verification, layout and validation experience or
• PhD in Electrical Engineering (or related field) +3 years of analog/mixed signal IC design, verification, layout and validation experience
• Proficiency in English

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 a Software Engineer to contribute to the design and development of AI-powered applications across the full stack. This role involves building responsive frontend user interfaces and supporting backend services, while integrating AI/ML capabilities into real-world systems. You will work closely with senior engineers and R&D teams to translate ideas into functional features, contributing to both prototyping and production development.

You will assist in developing UI components using modern frameworks such as React or Vue, and support backend development of APIs and services (REST/GraphQL) for data processing and application logic. The role includes working with AI/ML integrations such as LLM APIs, implementing data pipelines for ingestion and transformation, and ensuring system functionality, performance, and reliability. You will operate in an R&D environment, learning to balance rapid experimentation with good engineering practices.

Key Responsibilities

· Contribute to the development of full-stack applications, including frontend UI and backend services

· Build and maintain UI components using modern frameworks (e.g., React, Vue)

· Support development of backend APIs and services (REST/GraphQL)

· Integrate AI/ML capabilities (e.g., LLM APIs) into applications under guidance

· Assist in implementing data processing workflows and pipelines

· Participate in debugging, testing, and performance optimization of applications

· Collaborate with cross-functional teams to deliver user-facing features

· Contribute to prototyping and iterative development in an R&D environment

· Follow best practices in code quality, testing, and version control

· Learn and adopt modern tools, frameworks, and development practices

Qualifications

Must-Have Qualifications

· Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, with 2–5 years of experience in software development

· Working knowledge of frontend frameworks (React, Vue, or similar) and backend programming (Python, Node.js, Java, or equivalent)

· Basic understanding of API development and system design principles

· Familiarity with integrating external APIs (including AI/ML services is a plus)

· Exposure to cloud platforms (AWS) and development practices such as version control and testing

· Strong problem-solving skills and willingness to learn in an R&D environment

· Good communication skills and ability to work in a team

Strongly Preferred

· Exposure to AI/ML concepts or experience building simple AI-powered applications

· Experience with data processing, scripting, or working with structured/unstructured data

· Familiarity with modern UI/UX practices or building interactive applications

· Internship or project experience in full-stack or AI-related development

· Understanding of Agile/Scrum development processes

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.

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 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

Qualifications

Must-Have Qualifications

· 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

Work with business unit marketing and IC design teams to select the optimum package solution on cost, performance, manufacturability, and reliability for new advanced silicon node products (5nm, 3nm, 2nm and beyond)

• Work with IC design, system design, package SI/PI & thermal engineering teams to design custom packages

• Ensure designed packages meet CPI, SI/PI, and stringent thermal requirements (1000sW+) of advanced node cutting edge silicon products

• Research, develop, and productize new materials such as TIM, build-up-film, underfill etc. in support advanced node silicon (5nm & 3/2nm) POR definition

• Manage IC packaging activity from concept through development, qualification and high volume production

• Be a specialist and able to define assembly BOM, process, troubleshoot, support on packaging issues on new advanced technology

• Implement, fine-tune, and productize newly developed technologies into HVM

• Create package design documentation and assembly instructions

• Work close with QA and customers to resolve quality issues

• Interface with packaging assembly and substrate suppliers for new product bring-up, qualification and production ramp

• Interface with other operations functional groups such as product engineering, foundry, test, and QA

• Participate in package technology development and/or other business productivity projects which have broad team impact (e.g. assembly process enhancement, new TIM material development etc.)

• Interface with tier #1 external customers for custom ASIC programs or as needed for development support, quality and/or other issue resolution

• Support NPI bring-up, pkg qual, and sustain support in production + multi-source activities for capacity, cost, & manufacturing flexibility needs

Job Requirements

• Education: BS/MS/PHD in STEM/Material Science/Electrical/Mechanical Engineering

• Experience: BS +8 years of experience or MS +6 years of experience or PhD + 3 years of experience is required

• Deep understanding of signal integrity and power integrity concepts such as characteristic impedance, s-parameters (RL, IL, FEXT/NEXT etc.), power plane impedance profile requirements and optimization etc.

• Strong authority on Cadence APD for custom substrate design

• Hands-on expertise of advanced and new assembly processes for flipchip, MCM packages, and 2.5D for advanced node silicon products (5nm, 3/2nm and beyond)

• Good understanding of materials as related to Chip Packaging Interaction (CPI)

• Familiarity with wafer BEOL as related to CPI (top metal, AP, passivation, UBM, bumping etc.)

• Knowledge of advanced substrate manufacturing/process is a must (e.g. SAP/mSAP, PSPI w/ Cu RDL etc.)

• In depth knowledge of failure analysis techniques on advanced node silicon (5nm, 3/2nm etc.) products with ELK and MiM structures

• Conceptual knowledge of package cost structure

• Strong project management, communication and leadership skills

• Must have knowledge of GD&T and be able to read/comprehend mechanical drawings

• Good understanding of manufacturing and quality engineering fundamentals (DOE, process capability indices, etc.)

• Job requirements are broad; the candidate must be able to expand and grow in multiple disciplines (manufacturing/quality, materials, electrical, thermal, and mechanical)

• Track record of innovation and subject matter expertise through journal publications and/or patent awards is desired

• Familiarity with advanced technologies such as 2.5D, 3DIC, glass substrate etc.