Test Engineer Jobs in Santa Clara, CA
Test Engineer jobs in Santa Clara are in strong demand, concentrated in the Central Expressway corridor, the Rivermark district, and the broader Silicon Valley tech core near Great America Parkway, across semiconductor manufacturing, consumer electronics, and networking hardware. Employers hiring right now include NVIDIA, Marvell Technology, and SiTime. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 868+ Test Engineer jobs
NVIDIA is the world leader in GPU Computing. We are passionate about markets include gaming, automotive, vision, HPC, datacenters and networking in addition to our traditional OEM business. NVIDIA is also well positioned as the ‘AI Computing Company’, and NVIDIA GPUs are the brains powering Deep Learning software frameworks, analytics, data centers, and driving autonomous vehicles. We have some of the most experienced and dedicated people in the world working for us. If you are dedicated, forward-thinking, and hard-working technical people across countries sounds exciting, this job is for you. NVIDIA is looking for an outstanding individual who thrives in a diverse work environment, has outstanding interpersonal skills and possesses a strong sense of engagement and continuous process improvement. This candidate must have enterprise server integration, strong Linux experience, reliability testing with various telemetries, scale out cluster, test plan development, track record in developing AI tools and NLP, DevOps, CI/CD experience to join our platform SWQA team.
What you’ll be doing:
Responsible for the development and execution of NVIDIA HGX/DGX/MGX platform test plan on servers, OS, FW and CUDA SW stack from design doc.
Installing and testing various systems OS, server firmware and SW stack.
Drive support for root cause analysis on reliability and validation test failures to identify root cause(s) and achieve mitigation.
Build, develop/debug server and OS level automation front-end and back-end framework and tests
Review partner and supplier test results and prescribe additional reliability testing on components, servers, and packaging as needed.
Work in an agile software development team with very high production quality standards.
Manage bug lifecycle and collaborate with inter-groups to drive for solutions.
What we need to see:
Bachelor’s Degree (or equivalent experience) in a STEM (Science, Technology, Engineering, Math or Physics) field
5+ years proven experience; or master’s degree.
Proven years of OS and server level automation, CI/CD process and DevOps experience using Python, SHELL, Ansible, Jenkins, C/C++, Java, JavaScript
Strong server and Linux(Ubuntu, RedHat, CentOS, SuSE, Fedora and etc…) troubleshooting and debugging experience in a bare-metal and KVM/VMWare/Hyper-V environment.
Good knowledge and hands-on experience in model testing, AI tools/frameworks (TensorFlow, Pytorch, Cursor and etc…), NLP and LLM benchmarking
Experience in using AI development tools for test plans creation, test cases development and test cases automation
Strong experience in FW, BMC/OpenBMC, Network protocol, internal/external enterprise storage devices, PCIe buses and devices, IO sub-devices, CPU and memory, ACPI, UEFI spec, Redfish - huge plus
Proven years of experience in GitHub/Gitlab/Gerrit, PXE, SLURM, Stack/Kubernetes/Docker) – huge plus
Ways to stand out from the crowd:
AI related tools, LLM and NLP.
Experience working with NVIDIA GPU hardware is a strong plus.
Good to have solid understanding of virtualization in Linux (KVM, Docker orchestrated with Kubernetes)
Background in parallel programming ideally CUDA/OpenCL is a plus
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.NVIDIA is the world leader in GPU Computing. We are passionate about markets include gaming, automotive, vision, HPC, datacenters and networking in addition to our traditional OEM business. NVIDIA is also well positioned as the ‘AI Computing Company’, and NVIDIA GPUs are the brains powering Deep Learning software frameworks, analytics, data centers, and driving autonomous vehicles. We have some of the most experienced and dedicated people in the world working for us. If you are dedicated, forward-thinking, and hard-working technical people across countries sounds exciting, this job is for you. NVIDIA is looking for an outstanding individual who thrives in a diverse work environment, has outstanding interpersonal skills and possesses a strong sense of engagement and continuous process improvement. This candidate must have enterprise server integration, strong Linux experience, reliability testing with various telemetries, scale out cluster, test plan development, track record in developing AI tools and NLP, DevOps, CI/CD experience to join our platform SWQA team.
What you’ll be doing:
Responsible for the development and execution of NVIDIA HGX/DGX/MGX platform test plan on servers, OS, FW and CUDA SW stack from design doc.
Installing and testing various systems OS, server firmware and SW stack.
Drive support for root cause analysis on reliability and validation test failures to identify root cause(s) and achieve mitigation.
Build, develop/debug server and OS level automation front-end and back-end framework and tests
Review partner and supplier test results and prescribe additional reliability testing on components, servers, and packaging as needed.
Work in an agile software development team with very high production quality standards.
Manage bug lifecycle and collaborate with inter-groups to drive for solutions.
What we need to see:
Bachelor’s Degree (or equivalent experience) in a STEM (Science, Technology, Engineering, Math or Physics) field
5+ years proven experience; or master’s degree.
Proven years of OS and server level automation, CI/CD process and DevOps experience using Python, SHELL, Ansible, Jenkins, C/C++, Java, JavaScript
Strong server and Linux(Ubuntu, RedHat, CentOS, SuSE, Fedora and etc…) troubleshooting and debugging experience in a bare-metal and KVM/VMWare/Hyper-V environment.
Good knowledge and hands-on experience in model testing, AI tools/frameworks (TensorFlow, Pytorch, Cursor and etc…), NLP and LLM benchmarking
Experience in using AI development tools for test plans creation, test cases development and test cases automation
Strong experience in FW, BMC/OpenBMC, Network protocol, internal/external enterprise storage devices, PCIe buses and devices, IO sub-devices, CPU and memory, ACPI, UEFI spec, Redfish - huge plus
Proven years of experience in GitHub/Gitlab/Gerrit, PXE, SLURM, Stack/Kubernetes/Docker) – huge plus
Ways to stand out from the crowd:
AI related tools, LLM and NLP.
Experience working with NVIDIA GPU hardware is a strong plus.
Good to have solid understanding of virtualization in Linux (KVM, Docker orchestrated with Kubernetes)
Background in parallel programming ideally CUDA/OpenCL is a plus
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.See All 868+ Test Engineer Jobs in Santa Clara
Find roles in Santa Clara that match your experience and apply in just a few clicks.
Find Test Engineer JobsTest Engineer Job Market in Santa Clara
Who's Hiring
- NVIDIA217
- Marvell Technology109
- SiTime36
- Dexmate36
- Qualcomm36
Top Industries Hiring
- Technology & Software181
- Electronics & Hardware127
- Manufacturing72
- Science & Research36
- Cybersecurity18
Test Engineer Jobs in Santa Clara: Frequently Asked Questions
How do I get a test engineer job in Santa Clara?
Focus your search on semiconductor companies, networking hardware firms, and consumer electronics manufacturers concentrated along Central Expressway and Great America Parkway, since those clusters drive the bulk of Santa Clara test engineer openings. Hands-on experience with automated test equipment, JTAG, or RF testing gives you a clear edge over generalist candidates in this market. Targeting mid-size fabless chip companies and contract electronics manufacturers in the area is often a faster path than chasing the largest names.
Which companies hire test engineers in Santa Clara?
Companies currently hiring test engineers in Santa Clara include NVIDIA, Marvell Technology, and SiTime, per current listings on Migrate Mate as of August 2026. Santa Clara's employer mix skews heavily toward semiconductor, networking, and defense electronics firms, so most openings come from hardware-focused organizations rather than pure software shops.
Are there remote test engineer jobs in Santa Clara?
Yes, though with an important qualifier: test engineering roles that involve physical hardware, lab equipment, or on-site production lines are almost always on-site, while software-defined testing, test automation scripting, and QA analysis roles can run remote or hybrid. About 11% of test engineer openings tied to Santa Clara are remote or hybrid as of August 2026, reflecting the strong hardware presence in the area. Firmware and embedded test roles tied to Santa Clara's chip companies are the most likely to require in-person work.
How can I get a test engineer job in Santa Clara with little or no experience?
The most realistic entry path in Santa Clara is targeting test technician or associate test engineer roles at contract electronics manufacturers and mid-size fabless semiconductor companies, which tend to hire at a broader range of experience levels than the large chip giants. Building proficiency in Python-based test automation or learning to operate automated test equipment used in semiconductor validation gives your resume a concrete hook. Community college programs in the South Bay and internships through local hardware startups are common stepping stones into full-time test roles here.
Which industries hire the most test engineers in Santa Clara?
Santa Clara test engineer roles concentrate in Technology & Software, Electronics & Hardware, and Manufacturing, based on current listings on Migrate Mate as of August 2026. Santa Clara's position as a global hub for chip design, networking infrastructure, and connected consumer devices means those sectors generate a steady pipeline of test engineering openings year-round.
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