We are seeking a Verification Engineer to join our silicon development team responsible for ensuring the functional correctness and quality of complex ASIC/SoC designs. This role is critical in validating next-generation chips used in high-performance computing AI/ML networking or consumer electronics.
You will work closely with design architecture and validation teams to develop robust verification environments and drive coverage closure.
Key Responsibilities
Develop and execute verification plans for ASIC/SoC components and subsystems
Build and maintain SystemVerilog/UVM-based testbenches
Create directed and constrained-random tests to validate design functionality
Debug and root-cause RTL issues in collaboration with design engineers
Drive functional coverage and ensure verification completeness
Perform regression testing and analyze results for failures and gaps
Develop and use assertions (SVA) for design verification
Contribute to verification methodology improvements and automation
Support post-silicon validation teams with test scenarios and debug insights
Required Qualifications (MUST-HAVE)
Bachelors or Masters degree in Electrical Engineering Computer Engineering or related field
310 years of experience in ASIC/SoC verification
Strong expertise in SystemVerilog and UVM methodology
Experience with RTL design concepts (Verilog/VHDL)
Understanding of functional coverage and verification metrics
Preferred Qualifications (NICE-TO-HAVE)
Experience with formal verification tools
Knowledge of protocols (PCIe Ethernet AXI DDR USB etc.)
Scripting skills in Python Perl or Tcl
Experience with emulation or FPGA prototyping
Exposure to low-power verification (UPF/CPF)
Background in AI/ML accelerators or GPU architectures
Key Skills
Strong problem-solving and debugging mindset
Ability to work in a fast-paced cross-functional environment
Clear communication with design and architecture teams
Attention to detail and quality
Typical Day-to-Day
Running regressions and debugging failing test cases
Writing new UVM test sequences and coverage models
Collaborating with RTL designers on bug fixes
Reviewing verification plans and coverage reports
Participating in design and verification reviews
Required Skills:
Sr. Network Automation Engineer - Hybrid on site 2 days/week Santa Clara CA About the Role Were seeking a hands-on Infrastructure Systems Developer who thrives in building full-stack systems with a focus on network automation. This is not your traditional network engineering role were looking for someone who comes from the DevOps or systems development world and has ventured into networking by building tools platforms and automation frameworks that interact with network infrastructure. You will own the architecture and development of a full-stack system that ingests stores and acts on network telemetry and configuration data from backend frameworks to frontend UI to device interaction and automation. Key Responsibilities Design and architect an end-to-end automation system for network configuration and telemetry. Choose and implement the right technologies: Database: SQL NoSQL or MDM SQL solutions. Backend: Python (FastAPI Flask) Go or similar. Frontend: React Vue or modern JS framework. Build integrations with CI/CD pipelines (e.g. Jenkins). Implement configuration management and telemetry collection using Ansible SaltStack or similar tools. Create APIs and services to interface with network devices. Ensure scalable data storage and retrieval for network metadata and telemetry. Collaborate with network engineers DevOps and security teams. Requirements Strong programming skills in Python Go or equivalent languages. Experience designing and building production-level infrastructure systems. Deep understanding of system architecture and software lifecycle. Familiarity with network automation concepts and tools even if not a traditional network engineer. Hands-on experience with: CI/CD: Jenkins or equivalent. Config Management: Ansible Salt. Database systems: SQL and NoSQL (MongoDB PostgreSQL etc.). Frontend frameworks: React Vue or similar. Comfort working across the full stack and owning the entire lifecycle of a system. Nice to Have Exposure to network protocols and device-level APIs (e.g. NETCONF RESTCONF). Experience in telemetry collection parsing and visualization. Contributions to open-source DevOps or automation tools. Experience with MDM/metadata modeling.
Required Education:
Masters preferred
We are seeking a Verification Engineer to join our silicon development team responsible for ensuring the functional correctness and quality of complex ASIC/SoC designs. This role is critical in validating next-generation chips used in high-performance computing AI/ML networking or consumer electroni...
We are seeking a Verification Engineer to join our silicon development team responsible for ensuring the functional correctness and quality of complex ASIC/SoC designs. This role is critical in validating next-generation chips used in high-performance computing AI/ML networking or consumer electronics.
You will work closely with design architecture and validation teams to develop robust verification environments and drive coverage closure.
Key Responsibilities
Develop and execute verification plans for ASIC/SoC components and subsystems
Build and maintain SystemVerilog/UVM-based testbenches
Create directed and constrained-random tests to validate design functionality
Debug and root-cause RTL issues in collaboration with design engineers
Drive functional coverage and ensure verification completeness
Perform regression testing and analyze results for failures and gaps
Develop and use assertions (SVA) for design verification
Contribute to verification methodology improvements and automation
Support post-silicon validation teams with test scenarios and debug insights
Required Qualifications (MUST-HAVE)
Bachelors or Masters degree in Electrical Engineering Computer Engineering or related field
310 years of experience in ASIC/SoC verification
Strong expertise in SystemVerilog and UVM methodology
Experience with RTL design concepts (Verilog/VHDL)
Understanding of functional coverage and verification metrics
Preferred Qualifications (NICE-TO-HAVE)
Experience with formal verification tools
Knowledge of protocols (PCIe Ethernet AXI DDR USB etc.)
Scripting skills in Python Perl or Tcl
Experience with emulation or FPGA prototyping
Exposure to low-power verification (UPF/CPF)
Background in AI/ML accelerators or GPU architectures
Key Skills
Strong problem-solving and debugging mindset
Ability to work in a fast-paced cross-functional environment
Clear communication with design and architecture teams
Attention to detail and quality
Typical Day-to-Day
Running regressions and debugging failing test cases
Writing new UVM test sequences and coverage models
Collaborating with RTL designers on bug fixes
Reviewing verification plans and coverage reports
Participating in design and verification reviews
Required Skills:
Sr. Network Automation Engineer - Hybrid on site 2 days/week Santa Clara CA About the Role Were seeking a hands-on Infrastructure Systems Developer who thrives in building full-stack systems with a focus on network automation. This is not your traditional network engineering role were looking for someone who comes from the DevOps or systems development world and has ventured into networking by building tools platforms and automation frameworks that interact with network infrastructure. You will own the architecture and development of a full-stack system that ingests stores and acts on network telemetry and configuration data from backend frameworks to frontend UI to device interaction and automation. Key Responsibilities Design and architect an end-to-end automation system for network configuration and telemetry. Choose and implement the right technologies: Database: SQL NoSQL or MDM SQL solutions. Backend: Python (FastAPI Flask) Go or similar. Frontend: React Vue or modern JS framework. Build integrations with CI/CD pipelines (e.g. Jenkins). Implement configuration management and telemetry collection using Ansible SaltStack or similar tools. Create APIs and services to interface with network devices. Ensure scalable data storage and retrieval for network metadata and telemetry. Collaborate with network engineers DevOps and security teams. Requirements Strong programming skills in Python Go or equivalent languages. Experience designing and building production-level infrastructure systems. Deep understanding of system architecture and software lifecycle. Familiarity with network automation concepts and tools even if not a traditional network engineer. Hands-on experience with: CI/CD: Jenkins or equivalent. Config Management: Ansible Salt. Database systems: SQL and NoSQL (MongoDB PostgreSQL etc.). Frontend frameworks: React Vue or similar. Comfort working across the full stack and owning the entire lifecycle of a system. Nice to Have Exposure to network protocols and device-level APIs (e.g. NETCONF RESTCONF). Experience in telemetry collection parsing and visualization. Contributions to open-source DevOps or automation tools. Experience with MDM/metadata modeling.