Hardware Test Engineer - Silicon Validation
NVIDIAJob Title
Hardware Test Engineer - Silicon Validation
Role Summary
Lead and operate global hardware farm infrastructure used for silicon validation. The role sits at the intersection of hardware, software, and global coordination to ensure reliable test systems across the silicon validation lifecycle.
Experience Level
Mid-level. The posting indicates professional experience in the hardware/silicon domain; typical candidates have around 5+ years of relevant experience.
Responsibilities
Primary responsibilities include operating and improving large-scale hardware farms, driving debug and automation, and coordinating across global validation teams.
- Operate and maintain a large hardware farm of GPU, SoC, and CPU systems; perform hardware and software debug across PCBs, voltage regulators, OS, drivers, and firmware.
- Build and maintain regression and diagnostic infrastructure, author test plans, sanity checks, and scalable regression scripts.
- Coordinate with global farm and silicon validation teams to ensure system availability and drive issues to closure.
- Partner with farm development and location PICs to improve processes and infrastructure based on debug findings.
- Design and implement automated monitoring, alerting, and performance analytics to detect and resolve farm issues in real time.
Requirements
Must-have technical skills and behaviors for the role.
- Strong knowledge of motherboard platforms, SoCs, PC hardware components, and network connectivity.
- Proficiency with Linux OS internals and scripting (Python; experience with Perl and TCL is useful).
- Experience debugging hardware and firmware issues across PCBs, regulators, drivers, and OS-level failures.
- Experience building regression suites, diagnostics, and automation that scale across product lines.
- Excellent coordination and interpersonal skills for cross-site and cross-discipline collaboration.
- Ability to lead critical debugs and drive issues to closure with the right technical resources.
- Nice-to-have: familiarity using AI tools to support debugging, log analysis, test-plan generation, and automation workflows.
Education Requirements
B.E. / B.Tech in Electronics & Communication Engineering (ECE) or equivalent practical experience; equivalent practical experience is explicitly acceptable.
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.
