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General Information

Job Title
Machine Learning Staff Engineer
Job ID
14124
Country
India
City
Bengaluru
Date Posted
18-Jan-2026
Job Category
Engineering
Job Subcategory
Machine Learning
Hire Type
Employee
Remote Eligible
No

Descriptions & Requirements

Job Description and Requirements

We Are:

  At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.


You Are:

  You are a forward-thinking and solution-oriented Machine Learning Engineer, passionate about pushing the boundaries of AI and GenAI applications in the enterprise landscape. With a solid foundation in software development and a curiosity for emerging technologies, you thrive in environments where innovation, collaboration, and impact intersect. Your expertise spans from building robust APIs to architecting and deploying scalable AI-driven solutions that deliver tangible value to corporate functions.

  You bring hands-on experience with a range of large language models (LLMs) such as OpenAI, ChatGPT, Claude, Amazon Bedrock, and LLaMA, and have a proven track record of developing AI-powered copilots and agentic applications. You are comfortable working across the full stack, with a deep proficiency in Python, and are adept at leveraging modern cloud platforms and database technologies, including both relational and NoSQL/Vector databases.

  You are motivated by the opportunity to architect AI solutions tailored to the unique needs of diverse business units such as HR, Finance, and Legal. You are always seeking ways to improve processes, automate workflows, and deliver user-centric experiences, potentially bringing UI/UX skills in Angular or React to the table. With at least five years of industry experience and a strong academic background, you are ready to take on complex challenges, inspire your peers, and make a meaningful impact at Synopsys.


What You’ll Be Doing:

  • Architecting and developing GenAI and deep learning applications tailored to internal corporate functions, including HR, Finance, Legal, and more.
  • Designing, building, and deploying AI-powered copilots and agentic applications that empower business users and streamline workflows.
  • Integrating and experimenting with various LLMs (OpenAI, ChatGPT, Claude, Amazon Bedrock, LLaMA) for optimal solution fit.
  • Developing and maintaining robust APIs to enable seamless integration with enterprise systems and data sources.
  • Implementing and optimizing CI/CD pipelines to ensure rapid, reliable, and scalable deployment of AI applications.
  • Collaborating with cross-functional teams to identify business needs, define requirements, and deliver innovative solutions.
  • Leveraging cloud computing platforms and modern database technologies (SQL, NoSQL, Vector DBs) to ensure performance and scalability.
  • Optionally, contributing to UI design and development using Angular or React to deliver intuitive user experiences.


The Impact You Will Have:

  • Accelerate digital transformation by embedding intelligent automation into core corporate processes.
  • Enable business units to make data-driven decisions with AI-powered insights and recommendations.
  • Reduce manual effort and operational bottlenecks through smart copilots and agentic workflows.
  • Promote a culture of innovation by introducing cutting-edge GenAI capabilities across the organization.
  • Improve the efficiency, accuracy, and scalability of enterprise applications supporting HR, Finance, Legal, and more.
  • Elevate Synopsys’ competitive edge by driving the adoption of next-generation AI solutions internally.


What You’ll Need:

  • 5+ years of hands-on experience in software development, with a focus on AI/ML applications.
  • Expertise in developing GenAI, RAG, and agentic applications leveraging LLMs such as OpenAI, ChatGPT, Claude, Amazon Bedrock, or LLaMA.
  • Proficiency in Python and experience building APIs for enterprise applications.
  • Strong understanding of CI/CD pipelines and cloud computing platforms.
  • Familiarity with SOA, Microservices, and modern architectural patterns.
  • Experience with a variety of databases including SQL, NoSQL, and Vector DBs.
  • Bachelor's degree in engineering, computer science, information systems, or a related field.
  • UI design and development experience (Angular or React) is a plus.


Who You Are:

  • Innovative thinker with a passion for solving complex problems using AI.
  • Collaborative team player who thrives in cross-functional environments.
  • Excellent communicator, able to translate technical concepts for diverse audiences.
  • Detail-oriented, organized, and adept at managing multiple priorities.
  • Self-motivated, adaptable, and committed to continuous learning and improvement.
  • Open to feedback and driven to deliver high-quality, impactful solutions.


The Team You’ll Be A Part Of:

  You’ll join a dynamic and innovative engineering team at Synopsys, focused on pioneering GenAI and deep learning solutions for internal enterprise functions. The team values collaboration, creativity, and technical excellence, working closely with business stakeholders to deliver transformative AI applications that drive efficiency and business value across departments.


Rewards and Benefits:

  We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.