VLSI Integration Engineer
NVIDIAJob Title
VLSI Integration Engineer
Role Summary
Work on SOC/ASIC integration for networking chips, focusing on RTL integration, chip build readiness, and automation of integration flows. Collaborate with functional design, DFT, verification, STA, physical design, CAD, package, and firmware teams.
Hybrid role based in Tel Aviv, supporting end-to-end chip integration tasks and flow development.
Experience Level
Entry-level / Early career. The role expects approximately 2+ years of proven experience in chip design.
Responsibilities
Primary responsibilities include chip-level integration, debugging, and enabling downstream flows and teams.
- Implement chip-level design through collaboration with cross-functional teams (Functional Design, DFT, Design Verification, System Verification, STA, Physical Design).
- Debug functional and structural issues; resolve design quality problems that affect downstream flows.
- Prepare designs for physical design readiness, emulation, and packaging.
- Perform partitioning, CDC/RDC analysis, trial synthesis, and design quality checks.
- Contribute to development, automation, and deployment of integration flows and methodologies.
Requirements
Must-have technical skills and behaviors required to perform the role.
- Proven experience in chip design and RTL integration.
- Hands-on RTL design skills in SystemVerilog.
- Proficiency in scripting (Python, Bash, or Tcl).
- Experience with design-for-test (DFT), synthesis readiness checks, or working with physical design teams is expected.
- Strong teamwork and communication skills.
Nice-to-have:
- Experience delivering to physical design, emulation, firmware, or other internal customers.
- Interest or experience in SOC design automation and integration flow tooling.
Education Requirements
B.Sc. or M.Sc. in Electrical Engineering or Computer Engineering.
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.
