Synopsys AI Automation & Productivity Apprenticeship 2026 | 12‑Month In‑Office Program, Bengaluru

Synopsys AI Automation & Productivity Apprenticeship | Bengaluru | 12-Month Program

About Synopsys and this apprenticeship

Synopsys is a global technology innovation leader driving the Era of Pervasive Intelligence, creating high‑performance silicon chips that power self‑driving cars, health‑monitoring smartwatches, renewable energy systems and countless other intelligent devices. The AI Automation & Productivity Apprenticeship (Job ID: 13758) in Bengaluru, Karnataka is a structured 12‑month full‑time program for fresh engineering graduates (2024/2025 batch) to gain hands‑on experience integrating artificial intelligence and automation tools into semiconductor design workflows.

Apprenticeship overview – what you will do

The AI Automation & Productivity Apprenticeship focuses on bridging AI innovation and engineering productivity, a rapidly growing area in semiconductor design. During the 12 months, you will:

• Collaborate with engineering teams to integrate AI‑assisted productivity tools into semiconductor design workflows and processes.

• Develop and maintain Python scripts for automation, data analysis and interfacing with AI APIs to streamline engineering tasks.

• Support validation and testing of large language models (LLMs) and natural language processing (NLP) solutions using prompt engineering applied to hardware engineering challenges.

• Assist in building agentic development flows to optimise engineering processes and improve system efficiency through intelligent automation.

• Document technical findings and present results to cross‑functional teams, contributing creative ideas to enhance workflows and boost productivity.

This role sits at the intersection of AI, automation and semiconductor engineering, making it ideal for graduates interested in emerging technologies.

Eligibility – degree, batch and background

Synopsys has specific eligibility criteria for this AI automation apprenticeship, targeting fresh graduates with strong technical foundations.

Education:

• BE/B.Tech in Computer Science, Electronics, Electrical, Instrumentation or related engineering fields.

Batch and Employment Status:

• Fresh graduates from the class of 2024 or 2025 only (final year or recently graduated).

• Not currently enrolled in any M.Tech programs or postgraduate diplomas at the time of application.

• Not employed in any full‑time positions at any company (limited internship experience is acceptable and beneficial).

Academic and Technical Foundation:

• Strong academic foundation with relevant coursework, projects or internships in semiconductor design.

• Strong Python programming skills to develop scripts for automation and data analysis.

• Familiarity with AI/ML concepts, APIs and working with LLMs and NLP models.

• Analytical skills, debug and validation abilities, and strong implementation capabilities.

• Proficient written and verbal communication skills to collaborate with team members across time zones and departments.

Key skills and competencies

Beyond formal qualifications, apprentices need a robust mix of technical and professional skills to succeed in this AI automation role.

Technical Skills:

• Python proficiency: Strong ability to write, debug and maintain Python scripts for automation, data processing and API integration.

• AI/ML fundamentals: Understanding of machine learning concepts, large language models (LLMs) and natural language processing (NLP).

• Prompt engineering: Ability to design, test and refine prompts for LLMs to solve hardware engineering tasks.

• API integration: Experience interfacing with AI APIs and cloud‑based services.

• Data analysis: Comfort working with data, analytics tools and interpreting results.

• Semiconductor basics: Knowledge of chip design flow, engineering workflows and design automation concepts.

Analytical and Problem‑Solving Skills:

• Ability to identify automation opportunities and design solutions to improve engineering processes.

• Capacity to debug complex systems combining AI and traditional engineering workflows.

• Skill in validating and testing AI models, identifying edge cases and limitations.

Communication and Collaboration:

• Clear written communication to document technical findings, results and recommendations.

• Strong verbal communication to present ideas and collaborate with team members across global time zones.

• Ability to work effectively in cross‑functional teams with engineers, product managers and AI specialists.

About Synopsys – culture and innovation

Synopsys operates with a clear mission: “Fuel today’s innovations and spark tomorrow’s creativity.” The company emphasises a growth mindset, collaboration, integrity, excellence and passion. For apprentices in this AI automation role, this means:

• Cutting‑edge technology: Work with the latest AI, automation and semiconductor design tools and methodologies.

• Real‑world impact: Your AI automation solutions directly improve how engineers design next‑generation chips.

• Expert mentorship: Experienced AI engineers and semiconductor experts guide your learning and development.

• Innovation culture: Access to research, emerging technologies and opportunities to prototype new ideas.

• Inclusive workplace: Synopsys is committed to an environment where people of all backgrounds feel valued and supported.

• Career progression: Successful apprentices may be considered for full‑time employment after the 12‑month program.

Program details – key facts

How to apply – step by step

1. Open the official Synopsys careers portal
   Navigate to the Synopsys careers website or use the direct apply link provided in the job posting.

2. Locate the AI Automation & Productivity Apprenticeship posting
   Search for Job ID 13758 or “AI Automation & Productivity Apprenticeship, Bengaluru” on the Synopsys careers portal or Avature job board.

3. Review full job details and eligibility requirements
   Carefully read all requirements, particularly batch eligibility (2024/2025), employment status (not in full‑time roles) and technical requirements.

4. Create or log in to your Synopsys candidate profile
   If new to Synopsys careers portal, register with your email and personal details; otherwise, log in with existing credentials.

5. Complete the application form

   • Enter accurate personal information (name, email, phone, location).

   • Provide education details: degree, institution, branch (Computer Science/Electronics/Electrical/Instrumentation), graduation year (2024 or 2025), GPA/percentage.

   • List relevant coursework (AI/ML, Data Science, Semiconductor Design, Python Programming, Natural Language Processing).

   • Highlight any internships, projects or competitions related to AI, automation, data science or semiconductor design.

   • Detail your Python proficiency and experience with AI/ML frameworks and APIs.

   • Mention any exposure to large language models, prompt engineering or NLP applications.

6. Upload your resume
   Attach a one‑page resume that clearly highlights:

   • Your BE/B.Tech in Computer Science, Electronics, Electrical, Instrumentation or related field and graduation date (2024 or 2025).

   • Relevant technical coursework (AI/ML, Data Science, Python, Natural Language Processing, Semiconductor Design).

   • Hands‑on projects in Python automation, AI/ML, data analysis or semiconductor design (even academic projects count).

   • Proficiency in Python scripting, familiarity with AI APIs and experience with LLMs or NLP models.

   • Any internships in AI/ML, software development, data science or semiconductor companies.

   • Experience with prompt engineering or working with generative AI tools if applicable.

   • Strong academic performance and consistent grades.

7. Submit your application
   Review all details for accuracy, then click Submit to send your application.

8. Track your progress
   Monitor your registered email for communication from Synopsys regarding assessments, interviews or next steps.

Tips to strengthen your application

• Highlight Python expertise: Provide concrete examples of Python projects you’ve built, especially those involving automation, data processing or API integration.

• Showcase AI/ML interest: Even without extensive experience, mention coursework, certifications or personal projects involving machine learning or generative AI.

• Demonstrate prompt engineering skills: If you’ve experimented with ChatGPT, GPT-4, Claude or other LLMs, highlight this prominently with examples.

• Include automation projects: Showcase any automation scripts or tools you’ve developed, demonstrating problem‑solving ability.

• Emphasise semiconductor knowledge: Include any semiconductor design, EDA tool or hardware engineering projects you’ve completed.

• Global collaboration readiness: Mention experience working with international teams or across time zones if applicable.

• Clean, professional resume: Ensure your resume is well‑formatted, free of typos and clearly organised with relevant sections.

NOTE: Act fast! Synopsys’ AI Automation & Productivity Apprenticeship is a highly competitive opportunity for engineers interested in emerging AI and automation technologies, and the application window may close once enough candidates are shortlisted. Apply as soon as your resume is polished and you confirm you meet all eligibility criteria (2024/2025 batch, not in full‑time roles, strong Python and AI interest).

Apply Link – Synopsys