We are seeking a hands-on Lab Technician to support semiconductor validation and testing for next-generation GPU and AI hardware platforms. This role is responsible for executing test plans supporting silicon bring-up and ensuring the reliability and performance of chipsets in a lab environment.
This is a highly technical lab-based role working closely with hardware engineers validation teams and system architects
Requirements
Key Responsibilities
Execute chip-level and system-level validation testing on GPUs ASICs and related hardware
Support silicon bring-up activities including initial power-on debugging and validation
Set up and maintain test benches lab equipment and measurement systems
Run automated and manual test scripts to validate:
Performance
Power consumption
Thermal behavior
Signal integrity
Collect analyze and document test data; escalate anomalies and failures
Assist engineers with debugging hardware issues including board-level and component-level troubleshooting
Maintain lab organization equipment calibration and safety standards
Work with cross-functional teams (hardware firmware and software) to support validation cycles
Required Qualifications
25 years of experience in a hardware lab or semiconductor testing environment
Hands-on experience with lab equipment such as:
Oscilloscopes
Logic analyzers
Power supplies
Signal generators
Understanding of:
Digital electronics
PCB-level debugging
Basic semiconductor concepts
Experience running test scripts (Python Bash or similar)
Ability to follow detailed test plans and document results clearly
Strong troubleshooting and problem-solving skills
Preferred Qualifications
Experience with GPU ASIC or high-performance computing hardware
Exposure to silicon validation or post-silicon bring-up
Familiarity with Linux environments
Basic scripting or automation experience (Python preferred)
Experience with thermal and power analysis tools
Associates or Bachelors degree in Electrical Engineering Computer Engineering or related field
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
Lab Technician Semiconductor / Chip TestingSanta Clara CA OnSiteOverviewWe are seeking a hands-on Lab Technician to support semiconductor validation and testing for next-generation GPU and AI hardware platforms. This role is responsible for executing test plans supporting silicon bring-up and ensur...
Lab Technician Semiconductor / Chip Testing
Santa Clara CA OnSite Overview
We are seeking a hands-on Lab Technician to support semiconductor validation and testing for next-generation GPU and AI hardware platforms. This role is responsible for executing test plans supporting silicon bring-up and ensuring the reliability and performance of chipsets in a lab environment.
This is a highly technical lab-based role working closely with hardware engineers validation teams and system architects
Requirements
Key Responsibilities
Execute chip-level and system-level validation testing on GPUs ASICs and related hardware
Support silicon bring-up activities including initial power-on debugging and validation
Set up and maintain test benches lab equipment and measurement systems
Run automated and manual test scripts to validate:
Performance
Power consumption
Thermal behavior
Signal integrity
Collect analyze and document test data; escalate anomalies and failures
Assist engineers with debugging hardware issues including board-level and component-level troubleshooting
Maintain lab organization equipment calibration and safety standards
Work with cross-functional teams (hardware firmware and software) to support validation cycles
Required Qualifications
25 years of experience in a hardware lab or semiconductor testing environment
Hands-on experience with lab equipment such as:
Oscilloscopes
Logic analyzers
Power supplies
Signal generators
Understanding of:
Digital electronics
PCB-level debugging
Basic semiconductor concepts
Experience running test scripts (Python Bash or similar)
Ability to follow detailed test plans and document results clearly
Strong troubleshooting and problem-solving skills
Preferred Qualifications
Experience with GPU ASIC or high-performance computing hardware
Exposure to silicon validation or post-silicon bring-up
Familiarity with Linux environments
Basic scripting or automation experience (Python preferred)
Experience with thermal and power analysis tools
Associates or Bachelors degree in Electrical Engineering Computer Engineering or related field
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.