Senior ASIC Methodology, Flow and Integration Engineer
NVIDIAJob Title
Senior ASIC Methodology, Flow and Integration Engineer
Role Summary
Lead methodology, flow and integration work for NVIDIA SoC and GPU designs with a focus on high-speed IO. The role owns integration processes, builds reusable automation and infrastructure, and coordinates across RTL, verification, physical design, and architecture teams.
Location: India — Bengaluru or Hyderabad. The role works with global teams to define and deploy scalable, modular flows across multiple projects and technology nodes.
Experience Level
Senior-level. The posting specifies 3+ years of relevant experience; the title and scope indicate senior responsibilities in methodology and integration.
Responsibilities
Primary responsibilities include owning integration flows and improving design methodology and automation.
- Own full-chip and block-level integration across multiple SoC and GPU projects.
- Stitch RTL units, manage hierarchy and connectivity, and ensure flow compatibility.
- Define and evolve internal design methodologies to improve scalability, quality, and turnaround time.
- Build automation pipelines and tooling to streamline integration, debug, and delivery.
- Drive full-chip debug, connectivity and functional issue resolution across hierarchies and nodes.
- Collaborate with RTL, verification, physical design, and architecture teams to ensure design readiness.
- Mentor engineers and contribute to continuous improvement of internal standards and flows.
Requirements
Must-have technical skills and collaboration abilities. Education and formal degree requirements are summarized under Education Requirements below.
- Proven expertise with IP development flows and build flows.
- Experience building automation using scripting (Python, Perl) and integration tooling.
- Strong debugging, analytical and problem-solving skills for system-level integration issues.
- Excellent collaboration and influencing skills across distributed, matrixed teams.
- Good interpersonal skills and ability to work effectively on cross-functional teams.
- Nice-to-have: exposure to AI tools such as Claude or Cursor.
Education Requirements
BS/B.Tech or MS/M.Tech in Electrical Engineering, ECE, Computer Science, or a related technical field; or equivalent practical experience. The posting specifies 3+ years of experience in design integration and methodologies for ASIC design.
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
