J P Nagar 6th Phase Karnataka Computer teacher Jobs – 86 Open Jobs Today

R&D Architect- CAD Physical Design / Place & Route (PnR).
Synopsys —Bengaluru, Karnataka
- Computer Science
- Master's degree
- Electrical experience
12d
School Librarian
Patel public school,bellandur —Marathahalli, Bengaluru, Karnataka
- ₹20,000 - ₹25,000 a month
- Full-time
- Master's degree
- Bachelor's degree
- In-person
- Paid time off
- Paid sick time
Quick apply
2h
Computer Science Teacher
THE VEDAM SCHOOL, SASI GROUP OF INSTITUTIONS —Yelahanka, Bengaluru, Karnataka
- From ₹20,000 a month
- Full-time
- Math
- Bachelor's degree
- In-person
Quick apply
Program Head Education
Kalike- TATA TRUST —Vijayanagar, Bengaluru, Karnataka
- ₹1,00,000 - ₹1,50,000 a month
- Part-time
- Doctoral degree
- English
- Master's degree
- Health insurance
- Cell phone reimbursement
Quick apply
3d
Instruction Specialist
Pi Jam Foundation —Electronic City, Bengaluru, Karnataka
- ₹5,04,000 a year
- Full-time
- Computer science
- Computer Science
- Master's degree
Quick apply
Vice Principal
vibgyor High School kadugodi —Whitefield, Bengaluru, Karnataka
- From ₹50,000 a month
- Full-time
- In-person
- Teaching experience
Quick apply
Preschool Teacher and Nurse -Bengaluru
Little Big World —Whitefield, Bengaluru, Karnataka
- ₹10,000 - ₹25,000 a month
- Full-time
- Childcare
- Nursing
- English
Quick apply
Assistant Pre School Teachers
BlinkBlink —Yeshwanthpur, Bengaluru, Karnataka
- ₹30,000 - ₹40,000 a month
- Full-time
- Math
- Bachelor's degree
- Computer skills
- Food provided
Quick apply
5d
Substitute Teacher
Navkis Educational centre —Bengaluru, Karnataka
- ₹11,428.31 - ₹34,074.50 a month
- English
- Math
- Education
Quick apply
CS TEACHER
The Velammal International School —Yelahanka, Bengaluru, Karnataka
- ₹25,000 - ₹30,000 a month
- Full-time
- Java
- Math
- In-person
Quick apply
Coding Techer
Dreammithra Pvt Limited —Vijayanagar, Bengaluru, Karnataka
- ₹20,000 - ₹25,000 a month
- Full-time
- Computer Science
- Bachelor's degree
- In-person
Quick apply
Tutor
Zikshana —Bengaluru, Karnataka
- Full-time
- Remote
- English
- Microsoft Office
- Leadership
- Work from home
Robotics Trainer (AI & Python)
Takyon System Solutions Pvt Ltd —Bangalore City, Bengaluru, Karnataka
- ₹15,000 - ₹30,000 a month
- Full-time
- Computer Science
- Travel
- In-person
Quick apply
8d
Centre Head / Centre Co-ordinator
Kidzee Banashankari 3rd stage —Kathriguppe, Bengaluru, Karnataka
- ₹20,000 - ₹25,000 a month
- Full-time
- Microsoft Word
- Word processing
- English
Quick apply
PRIMARY SCHOOL TEACHER (GRADE I AND II)
Sherwood High —Bengaluru, Karnataka
- Education
- Bachelor's degree
- Training & development
Physical Education Teacher
Vidyashilp Academy —Yelahanka, Bengaluru, Karnataka
- ₹30,000 - ₹35,000 a month
- Full-time
- Master's degree
- Bachelor's degree
- In-person
- Health insurance
- Food provided
Quick apply
Manager, AI Software Engineering
Curriculum Associates —Bengaluru, Karnataka
- Full-time
- Computer Science
- Project management
- Bachelor's degree
Middle School Teacher
Euro School —Bangalore City, Bengaluru, Karnataka
- ₹40,000 - ₹41,000 a month
- Full-time
- Computer science
- B.Sc
- Microsoft Office
- Health insurance
Quick apply
Vocational Training Teacher
CAPAAR —Bengaluru Urban District, Karnataka
- ₹25,000 - ₹35,000 a month
- Part-time
- Math
- Bachelor's degree
- Computer skills
Quick apply
Center Head - Yelahanka
Footprints Preschool and Daycare —Yelahanka, Bengaluru, Karnataka
- ₹13,995.84 - ₹40,000.00 a month
- Full-time
- English
- Microsoft Office
- Master's degree
Quick apply

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R&D Architect- CAD Physical Design / Place & Route (PnR).

Synopsys -
Bengaluru, Karnataka

Apply Now

Job details

12 days ago

Qualifications

Node.js
Law
Computer Science
Big data
Master's degree
Electrical experience
Bachelor's degree
Machine learning
Computer Engineering
Scripting
Electrical Engineering
AI
Python

Full job description

Date posted 02/09/2026

Category Engineering Hire Type Employee Job ID 15112 Remote Eligible No Date Posted 02/09/2026

We Are
Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.

You Are

You have spent over a decade in physical design, and somewhere along the way you realized that the next frontier is not just better tools but smarter ones. You know what it looks like when a design is stuck at 92% timing closure for three weeks, and you have the instinct to look at the data patterns, not just the methodology. Machine learning is not a buzzword to you. It is a tool you have started to explore, experiment with, and to real problems like congestion prediction, IR drop mitigation, or routing optimization.

You are equally comfortable reviewing a floorplan in Fusion Compiler and prototyping a Python script that ingests gigabytes of timing reports to surface the one thing everyone missed. You have worked on advanced nodes, 5nm, 3nm, maybe beyond, and you understand the physics that make these designs hard. You also understand that human intuition alone will not scale to solve what is coming next.

You do not just want to use AI tools. You want to build them. You want to define what intelligent automation looks like in semiconductor design, not in a lab, but in production flows that customers depend on. You ask hard questions, you push back when a model does not generalize, and you care about whether the solution actually works under real design constraints.

What You'll Be Doing

Develop AI and ML-based solutions that integrate directly with Synopsys EDA tools like Fusion Compiler, ICC2, and PrimeTime to solve PPA optimization problems across synthesis, place and route, and signoff
Design and deploy intelligent agent-based workflows that automate decision-making in physical design, including congestion management, timing closure, IR drop mitigation, and power density optimization
Build machine learning models and data pipelines using Python and big data frameworks to analyze large-scale design datasets and extract actionable insights for design convergence
Collaborate with customers and internal engineering teams to understand real-world design challenges at 5nm, 3nm, and future nodes, then translate those into scalable, production-ready AI-driven solutions
Define and document best practices for AI-driven EDA methodologies, including agent architectures, skill definitions, and orchestration frameworks that can be reused across design teams
Prototype and validate reinforcement learning or optimization algorithms applied to specific EDA problems like floorplanning, placement quality, or clock tree synthesis
Work across the full physical design flow, from RTL to signoff, ensuring AI solutions are grounded in the realities of variability, EM, IR, DRC, and DFM constraints

The Impact You Will Have

Enable design teams to close timing, power, and area targets faster by automating decisions that currently require days of manual iteration and expert judgment
Reduce time to tapeout for advanced node designs by building intelligent workflows that predict and resolve congestion, IR issues, and variability challenges before they become blockers
Define the next generation of Synopsys AI-powered design solutions that will be deployed across customer engagements globally, directly influencing how chips are designed at scale
Accelerate adoption of machine learning in semiconductor design by creating frameworks and methodologies that make AI accessible to physical design engineers, not just data scientists
Improve design quality and yield by surfacing patterns in large datasets that human analysis would miss, translating data into design decisions that matter
Shape the roadmap for AI integration in Synopsys EDA tools by working closely with product and R&D teams to identify high-impact use cases and validate technical feasibility
Help customers at the leading edge of semiconductor technology solve problems that have no established playbook, becoming a trusted technical partner in their most critical programs

What You'll Need

12+ years of hands-on experience in physical design and place and route, with deep expertise across synthesis, floorplanning, placement, CTS, routing, and signoff flows
Strong working knowledge of Synopsys EDA tools, specifically Fusion Compiler, ICC2, or PrimeTime, and the ability to script and automate within those environments
Proven track record of PPA optimization on advanced nodes including 5nm, 3nm, or beyond, with direct experience addressing variability, congestion, IR drop, electromigration, and DFM challenges
them to EDA problems
Proficiency in Python and scripting for automation, data processing, and integration with EDA tools and workflows
Experience building or integrating AI agents, autonomous workflows, or decision systems in a technical domain, whether in EDA or adjacent fields
Bachelor's or Master's degree in Electrical Engineering, Computer Science, or equivalent practical experience, exposure to reinforcement learning, LLM-based tooling, agent-based architectures, or distributed data processing frameworks is a strong plus

Who You Are

. 12+ years of relevant experience with a degree in electrical or computer engineering or computer science.

You can walk into a room with a customer's design team, understand their timing closure problem in the first 20 minutes, and sketch out an AI-driven approach that feels grounded, not theoretical
You are comfortable with ambiguity and incomplete data, you do not wait for the perfect dataset or the perfect model, you start with what you have, iterate, and improve as you learn
You push back when an AI solution is being oversold or when a workflow does not account for the realities of signoff constraints, variability, or customer design rules
You think in systems, not just models, you understand that a great ML model is useless if it cannot be integrated into a production flow or if it breaks under real design complexity
You are a natural teacher and collaborator, able to explain a reinforcement learning concept to a physical design engineer and a floorplanning tradeoff to a data scientist without losing either of them
You care about whether your work actually ships and gets used, not just whether it works in a demo, and you are willing to do the hard work of making something production-ready

The Team You'll Be Part Of

Your recruiter will

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computer teacher jobs in j p nagar 6th phase karnataka

R&D Architect- CAD Physical Design / Place & Route (PnR).

School Librarian

Computer Science Teacher

Program Head Education

Instruction Specialist

Vice Principal

Preschool Teacher and Nurse -Bengaluru

Assistant Pre School Teachers

Substitute Teacher

CS TEACHER

Coding Techer

Tutor

Robotics Trainer (AI & Python)

Centre Head / Centre Co-ordinator

PRIMARY SCHOOL TEACHER (GRADE I AND II)

Physical Education Teacher

Manager, AI Software Engineering

Middle School Teacher

Vocational Training Teacher

Center Head - Yelahanka

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Category Engineering Hire Type Employee Job ID 15112 Remote Eligible No Date Posted 02/09/2026

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