R&D Engineering, Sr Engineer

Technology, Data & Digital · Software & Web Development · Software Engineering · Artificial Intelligence · Machine Learning

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In short

Synopsys seeks an R&D Engineering Sr. Engineer in Noida, India, to develop and maintain software for chip design, verification, and manufacturing, leveraging AI/ML and Cloud technologies. The role involves building production-ready AI systems, agentic applications, and RAG pipelines, impacting how engineering teams design chips and develop technology.

Responsibilities

Design, build, test, and deploy agentic AI applications using ADK, NAT, LangGraph, LangChain, CrewAI, and OpenCode.
Implement and optimize agent memory systems for context retention across conversations.
Build RAG pipelines for grounding agent responses in enterprise knowledge bases.
Integrate agents with enterprise APIs, tools, databases, and search systems.
Develop backend services, orchestration layers, REST APIs, and user-facing components.
Build automated evaluation frameworks to measure AI system performance and quality.
Implement observability through tracing, structured logging, and incident analysis.

Requirements

Bachelor's or Master's degree in Computer Science, Electrical Engineering, Data Science, AI/ML, or equivalent practical experience.
2+ years of software engineering experience building and shipping production systems, with demonstrated experience delivering AI/ML, Generative AI, or agentic AI applications.
Strong proficiency in Python and working knowledge of at least one of JavaScript, TypeScript, Java, C++, or Go.
Hands-on experience with one or more agentic frameworks such as ADK, NAT, LangGraph, AutoGen, CrewAI, Semantic Kernel, or equivalent technologies.
Strong understanding of LLM application design, workflow orchestration, prompt engineering, tool and function calling, RAG and Hybrid Graph/RAG architectures, agent memory systems, and single-agent and multi-agent patterns.
Experience with vector databases, embeddings, search systems, reranking, and knowledge-retrieval pipelines.

Desired Qualifications

Experience building full-stack AI applications including backend APIs or microservices and user-facing AI experiences.
Experience testing and evaluating non-deterministic AI systems.
Familiarity with AWS, GCP, or Azure, Docker, Kubernetes, Git-based development, CI/CD, automated testing, and Agile practices.
Understanding of AI observability, security, privacy, guardrails, and responsible AI principles.

Benefits

Comprehensive medical and healthcare plans.
ETO and FTO Programs.
Maternity and paternity leave, parenting resources, adoption and surrogacy assistance.
Purchase Synopsys common stock at a 15% discount, with a 24 month look-back.
Retirement plans that vary by region and country.
Competitive salaries.

Skills

PythonJavaScriptTypeScriptJavaC++GoADKLangGraphLangChainCrewAIOpenCodeGenAIAI/MLAWSGCPAzureDockerKubernetesGitCI/CD

#Engineering#R&D

About Synopsys Inc

Smart, Secure Everything—From Silicon to Software Synopsys technology is at the heart of innovations that are changing the way we live and work. The Internet of Things. Autonomous cars. Wearables. Smart medical devices. Secure financial services. Machine learning and computer vision. These breakthroughs are ushering in the era of Smart, Secure Everything―where devices are getting smarter, everything’s connected, and everything must be secure. Powering this new era of technology are advanced silicon chips, which are made even smarter by the remarkable software that drives them. Synopsys is at…

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