Job DescriptionLab 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
- 2–5+ 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
- Associate’s or Bachelor’s degree in Electrical Engineering, Computer Engineering, or related field
RequirementsSr. Network Automation Engineer - Hybrid on site 2 days/week Santa Clara, CA About the Role We’re 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 — we’re 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.