Join As ASIC Methodology, Flow and Integration Engineer At NVIDIA | Apply Now

Join As ASIC Methodology, Flow and Integration Engineer At NVIDIA | Apply Now

Job Overview:

Skills: ASIC Design IP Development Python Perl RTL SoC GPU Debugging

Build the future of computing with NVIDIA in Bengaluru or Hyderabad

NVIDIA is looking for an ASIC Methodology, Flow and Integration Engineer with 2+ years of experience to drive design methodology and automation for their High Speed IO team. You will work from Bengaluru or Hyderabad in a hybrid work mode.

Who Can Apply?

• Candidates holding a BS, B.Tech, MS, or M.Tech degree in EE, ECE, CS, or an equivalent field.
• Applicants with 2 years or more of professional experience in design integration and methodologies for ASIC design.
• Professionals having a comprehensive understanding of IP development and build flows.
• Individuals with good debugging, analytical, and problem-solving skills.
• Engineers comfortable collaborating with cross-cultural, multi-geography, and matrixed teams.

About NVIDIA:

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for over 25 years. Today, the company is tapping into the unlimited potential of AI to define the next era of computing with GPUs acting as the brain for computers, robots, and self-driving cars.

What You Will Do as ASIC Methodology, Flow and Integration Engineer

• Integration Process Ownership: Own the full-chip and block-level integration process across multiple NVIDIA SoC and GPU projects.
• RTL Connectivity: Stitch together RTL units and ensure seamless connectivity, and hierarchy management.
• Methodology Definition: Define and evolve internal design methodologies to improve scalability, quality, and turnaround time.
• Automation Pipelines: Build automation pipelines using Python/Perl to streamline integration, debug, and delivery.
• Modular System Development: Develop modular and reusable systems that can be easily delivered and adapted across different SoC and GPU architectures.
• Cross-Functional Collaboration: Collaborate extensively with RTL, verification, physical design, and architecture teams to ensure flow compatibility and design readiness.
• Full-Chip Debug: Drive full-chip debug efforts, connectivity, and functional issues across multiple hierarchies and technology nodes.

Skills Required:

Design and Integration. Strong foundation in ASIC design, IP development flows, build flows, and multi-hierarchy integration.

Automation and Scripting. Proficiency in building automation pipelines using languages like Python or Perl.

Soft Skills. Excellent influencing, problem-solving, analytical, and interpersonal skills for global team collaboration.

Basic Qualifications:

• BS, B.Tech, MS, or M.Tech in EE, ECE, CS, or equivalent
• 2+ years of experience in design integration and methodologies for ASIC design
• Comprehensive understanding of IP development and build flows

Preferred Qualifications:

• Working exposure with AI tools like Claude and Cursor

Benefits:

• Highly competitive salaries
• Comprehensive benefits package for you and your family

Why NVIDIA?

Work in a diverse, supportive environment with some of the most brilliant and talented people in the world, shaping the future of AI and accelerated computing.

How to Prepare

Our tips, based only on what the listing asks for:

• Revise your understanding of IP development flows and build flows for ASIC design.
• Brush up on Python or Perl automation scripting used in integration and debug pipelines.
• Prepare examples of how you handled full-chip or block-level integration and connectivity challenges.
• Highlight your experience working with cross-functional teams across different geographies.

What the Listing Does Not Mention

• No specific salary package or CTC amount is stated in the job listing.
• No explicit last date to apply for this job opening is provided.
• No exact shift timings or working hours are mentioned.

How to Apply: NVIDIA

1. Review the job details and requirements on the official NVIDIA career page.
2. Click the apply link to access the Workday application portal.
3. Submit your resume, academic background, and relevant experience details online.

Join NVIDIA to work with brilliant minds and make a lasting impact on global technology.

Important Links:

Frequently Asked Questions:

What qualification is required?

Required qualification: B.Tech / B.S / M.Tech / M.S. See the eligibility section above for details.

Is prior experience required for this role?

Yes, 2+ years of experience in design integration and methodologies for ASIC design is required.

What is the job location?

The positions are based in Bengaluru and Hyderabad with a hybrid work setup.

What degree do I need to apply?

A BS, B.Tech, MS, or M.Tech degree in EE, ECE, CS, or an equivalent degree is required.

Is AI tool exposure helpful?

Yes, working exposure with AI tools like Claude and Cursor is noted as a plus.

Stay safe: NVIDIA does not charge any fee to apply or to give an interview. If anyone asks you for money for a job, a referral or an offer letter, it is a scam.

Source: the official NVIDIA careers listing for this role.

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Disclaimer: This job post is for information only. All applications and questions should go to NVIDIA through the official process.

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