Bengaluru Karnataka Principal machine learning engineer, itc Jobs – 269 Open Jobs Today

Applications Engineering, Principal Engineer
Synopsys —Bengaluru, Karnataka
- Master's degree
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- Health insurance
Principal Software Engineer, ITC
Nike —Bengaluru Urban District, Karnataka
- Full-time
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GE Vernova —Bengaluru, Karnataka
- Full-time
- Doctoral degree
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- Master's degree
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Principal Software Engineer - Access Foundation
Okta —Bengaluru, Karnataka
- Computer Science
- Java
- Bachelor's degree
Principal Machine Learning Engineer
Ema —Bengaluru, Karnataka
- Full-time
- Doctoral degree
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Principal Software Engineer - AI Research & Development
Société Générale —Bengaluru, Karnataka
- Azure
- Computer Science
- DevOps
Senior Principal Data Engineer
Hewlett Packard Enterprise —Bengaluru, Karnataka
- Full-time
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- DevOps
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Principal Machine Learning Engineer, Document AI Data (Tech Lead Manager)
ABBYY —Bengaluru, Karnataka
- Remote
- Management
- Doctoral degree
- Computer Science
- Health insurance
- Paid time off
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Principal Software Engineer - Android Device Authenticators
Okta —Bengaluru, Karnataka
- Computer Science
- Bachelor's degree
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Principal Product Manager
Acceldata —Bengaluru, Karnataka
- Oracle
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- Health insurance
Principal Data Scientist Engineer
GlaxoSmithKline —Bengaluru, Karnataka
- Full-time
- Azure
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Lead Software Engineer, ITC
Nike —Bengaluru Urban District, Karnataka
- Full-time
- Azure
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Lead Software Engineer, ITC
Nike —Bengaluru Urban District, Karnataka
- Full-time
- Azure
- Computer Science
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Sr Principal Product Engineer
Cadence Design Systems —Bengaluru, Karnataka
- Full-time
- English
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Senior Principal Engineer, RTL ASIC Design
Marvell —Bengaluru, Karnataka
- Full-time
- Master's degree
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Principal Engineer - AI Engineering
MontyCloud —Bengaluru, Karnataka
- Azure
- Computer Science
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Quick apply
Associate Principal, AI Engineer
Illumina —Bengaluru, Karnataka
- Full-time
- Azure
- Oracle
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Senior Machine Learning Engineer, Model Training & Evaluation
ABBYY —Bengaluru, Karnataka
- Remote
- Doctoral degree
- Computer Science
- Research
- Health insurance
- Paid time off
Quick apply
AI/ML Software Principal Engineer
GE Vernova —Bengaluru, Karnataka
- Full-time
- Remote
- Computer Science
- B.Sc
- Bachelor's degree
Senior AI Engineer
Fresenius Medical Care —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree

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Applications Engineering, Principal Engineer

Synopsys -
Bengaluru, Karnataka

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Job details

Benefits

Health insurance

Qualifications

Node.js
Master's degree
Analysis skills
Electrical experience
Bachelor's degree
Electrical Engineering
AI

Full job description

Bengaluru, Karnataka, India

Category Engineering Hire Type Employee Job ID 17045 Date posted 04/27/2026

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 an accomplished engineer with a passion for physical design and a drive to solve complex challenges in advanced semiconductor technology. With 12+ years of hands-on experience in the complete RTL-to-GDS flow, you thrive on collaborating with customers and internal teams to deliver innovative, high-value solutions. Your expertise spans advanced nodes, synthesis, design planning, and place & route, complemented by a strong command of timing closure, power reduction methodologies, DRC rules, and formal verification. You are adept at leveraging industry-leading EDA tools such as Fusion Compiler, PrimeTime, PrimeClosure, Formality, DSO.ai, FusionAI, ICV, StarRC, and RTLA, and you are well versed with AI/ML applications, building and deploying AI Agents.

What You’ll Be Doing:

Engaging directly with Synopsys customers to understand their design goals, challenges, and requirements, building tailored solutions that maximize their productivity and success.
Demonstrating the unique advantages and capabilities of Synopsys’ industry-leading physical design tools, including Fusion Compiler, PrimeTime, and DSO.ai, through hands-on support and customer enablement activities.
Collaborating closely with Synopsys R&D and Product Engineering teams to influence tool development, provide feedback from the field, and drive enhancements that address real-world design challenges.
Delivering technical presentations, workshops, and training sessions to empower customers and internal teams with best practices in synthesis, place & route, timing closure, and power optimization.
Diagnosing and resolving complex design issues, providing expert guidance on advanced node challenges, DRC closure, ECO flows, and formal verification methodologies.
Contributing to the productivity and growth of the Application Engineering team by sharing expertise, developing technical collateral, and mentoring junior engineers.

The Impact You Will Have:

Accelerate customer success by ensuring smooth adoption and optimal use of Synopsys’ physical design solutions across advanced technology nodes.
Drive innovation in EDA tool development by channeling customer feedback and real-world requirements directly to Synopsys R&D teams.
Enhance the industry’s most advanced chip design flows, enabling customers to achieve faster time-to-market and higher quality silicon.
Position Synopsys as a trusted partner and thought leader in physical design, strengthening long-term customer relationships and industry reputation.
Facilitate knowledge transfer and skill development within the team, raising the overall competency and effectiveness of the Applications Engineering group.
Contribute to Synopsys’ business growth by showcasing the value and differentiation of Synopsys tools in competitive engagements and benchmark evaluations.

What You’ll Need:

Bachelor’s and/or Master’s degree in Electrical Engineering or a related field.
15+ years of experience with the complete RTL-to-GDS physical design flow, including advanced nodes.
Proficiency with industry-standard EDA tools: Fusion Compiler, PrimeTime, PrimeClosure, Formality, DSO.ai, FusionAI, ICV, StarRC, RTLA, and familiarity with Innovus, Genus, Tempus, Quantus, Cerebrus.
In-depth understanding of synthesis, design planning, place & route, timing closure, power reduction, DRC rules, static timing analysis, and ECO methodologies.
Experience with LLMs, GPT models, and other generative AI techniques.
Strong analytical and problem-solving skills, with the ability to diagnose and resolve complex design and tool issues.

Who You Are:

Innovative, resourceful, and proactive in driving technical solutions and continuous improvement.
Excellent communicator, able to clearly articulate technical concepts to diverse audiences.
Collaborative team player who thrives in a fast-paced, cross-functional environment.
Customer-focused mindset with a passion for delivering exceptional support and building lasting relationships.
Effective mentor and knowledge sharer, committed to uplifting the team and advancing organizational goals.

The Team You’ll Be A Part Of:

You will join a high-impact Applications Engineering team focused on enabling customer success with Synopsys’ most advanced physical design solutions. This collaborative group works at the intersection of technology development and customer engagement, driving innovation and excellence in chip design across global semiconductor leaders. The team values knowledge sharing, mentorship, and continuous learning, fostering a supportive environment where everyone can make a significant impact.

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.

Apply Now

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