NVIDIA Hiring 2026 – ASIC Engineer (New College Graduate) | Apply Now

NVIDIA is hiring 2026 graduates for the ASIC Engineer role in Bangalore, India.

NVIDIA is inviting applications for the role of ASIC Engineer – New College Graduate 2026. This is a highly prestigious opportunity for fresh graduates who want to build their career in VLSI, semiconductor, and hardware engineering domains.

Selected candidates will work on cutting-edge technologies including GPUs, AI hardware, and system-on-chip (SoC) designs. You will collaborate with world-class engineers and contribute to next-generation computing systems powering AI, graphics, and high-performance computing.

Company Details

Company NVIDIA
Role ASIC Engineer – New College Graduate 2026
Location Bangalore, India
Job Type Full-Time

About the Role:

As an ASIC Engineer at NVIDIA, you will be part of teams working on processor design, GPU architecture, and SoC development. The role involves working across different domains such as RTL design, verification, performance optimization, and hardware modeling.

You will gain deep exposure to semiconductor design workflows and contribute to building some of the world’s most advanced chips used in AI, gaming, and autonomous systems.

  • Work on next-generation GPU and SoC designs.
  • Collaborate with architecture, design, and verification teams.
  • Contribute to RTL design, modeling, and testing.
  • Participate in performance and power optimization.
  • Work on real-world hardware engineering challenges.

Key Responsibilities:

  • Design and develop RTL components for ASIC and SoC systems.
  • Perform modeling, testing, and debugging of hardware systems.
  • Work on verification methodologies and test environments.
  • Analyze performance, power, and area trade-offs.
  • Collaborate with cross-functional engineering teams.
  • Support post-silicon validation and debugging activities.

Skills Required:

Candidates should have strong fundamentals in hardware design, programming, and problem-solving.

  • Understanding of digital design and computer architecture.
  • Knowledge of Verilog/SystemVerilog or similar HDL.
  • Programming skills in C/C++ or Python.
  • Basic knowledge of ASIC design flow and VLSI concepts.
  • Strong debugging and analytical skills.
  • Good communication and teamwork abilities.

Eligibility Criteria:

  • B.E / B.Tech / M.E / M.Tech in Electronics, Electrical, Computer Engineering, or related fields.
  • Graduating in 2025 / 2026.
  • Strong academic background in hardware or related domains.
  • Passion for semiconductor and chip design technologies.

Selection Process:

  • Online Application
  • Technical Assessment / Coding Round
  • Technical Interviews (Hardware / VLSI focused)
  • HR Interview

Career Growth Opportunities:

NVIDIA offers one of the best career paths in hardware engineering with exposure to cutting-edge technologies.

  • Work on advanced GPU, AI, and semiconductor technologies.
  • Mentorship from top engineers in the industry.
  • Opportunity to specialize in VLSI, RTL design, or verification.
  • Career growth into senior engineering and architecture roles.

Why Join NVIDIA:

NVIDIA is a global leader in AI computing and GPU technology. The company is known for innovation in areas like artificial intelligence, deep learning, gaming, and autonomous systems. Working at NVIDIA provides exposure to world-class engineering challenges and cutting-edge technologies. :contentReference[oaicite:0]{index=0}

  • Work on world-changing AI and hardware technologies.
  • Highly innovative and research-driven environment.
  • Global exposure and collaboration opportunities.
  • Strong engineering culture and learning ecosystem.

How to Apply:

  • Click the Click here button below.
  • Open the official NVIDIA careers page.
  • Log in or create your account.
  • Fill in your details and upload your resume.
  • Submit your application.

Apply Link: Click here

Join WhatsApp Group: Click here

About Company:

NVIDIA is a global technology company known for inventing the GPU and leading innovations in AI computing, deep learning, and high-performance computing. Its technologies power gaming, data centers, autonomous vehicles, and robotics, making it one of the most influential companies in the semiconductor industry. 

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