Engineering Technician Jobs at NVIDIA with Visa Sponsorship
Engineering Technician jobs at NVIDIA sit at the intersection of hardware validation, lab support, and cutting-edge chip development. NVIDIA has a consistent track record of sponsoring international workers in technical support functions, making it a realistic target for candidates pursuing H-1B visa, E-3 visa, or employment-based Green Card pathways.
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Get Access To All JobsINTRODUCTION
By submitting your resume, you acknowledge that your 2027 Systems Software Engineering internship application will be processed in accordance with NVIDIA’s Applicant Privacy Policy and you agree to our Terms of Service. We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.
NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands-on experience with one of our industry-leading Systems Software teams. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.
Throughout the 12-week full-time internship, students will work on projects that have a measurable impact on our business. We’re looking for students pursuing a B.S., M.S., or Ph.D. degree within a relevant or related field.
Potential Internships in this field include:
Systems Software
- Defining, designing, and developing integrated (e.g., Jetson Orin) and discrete (e.g., Hopper H100) GPU system software components (e.g., runtime, math libraries) with focus on power and performance, as well as creating architecture and design specifications
- Course or internship experience related to the following areas could be required: Operating Systems (Threads, Process Control, Memory/Resource Management, Virtual Memory), Multithreaded Debugging, Linux Kernel Development, RTOS Development on Embedded Platforms, Data Structures & Algorithms (time/space complexity), Computer Networking (TCP/IP, OSI Model, Sockets), Low-Level Programming
Software Security
- Hardening and developing secure solutions across the software stack, spanning multi-node supercomputers down to microcontrollers and security co-processors
- Building tools and infrastructure to scale security efforts across large organizations and codebases with millions of lines of code
- Course or internship experience related to the following areas could be required: Operating Systems, Data Structures & Algorithms, Computer Networking (TCP/IP, OSI Model, Sockets), Network Security, Cryptography, Computer Systems Architecture, Microcontroller and Microprocessor fundamentals (Caches, Buses, Memory Controllers, DMA, etc.)
Graphics Systems Software
- Designing and implementing of OpenGL, OpenGL ES, and Vulkan graphics drivers, platform support, and conformance tests to support new hardware features in collaboration with other software, hardware, architecture, and support teams
- Training and debugging various issues within the Tegra graphics software stack
- Computer Architecture, Operating Systems, Real-Time Systems Development, Device Driver Programming, Game Console Middleware, or other Low-Level Library Development
- 3D/2D Graphics Theory, Implementation & Optimizations, Simulation or Emulation (writing & debugging tests)
Compiler
- Working at the center of deep-learning compiler technology, spanning architecture design and support through functional languages
- Investigating problems or optimization opportunities within the Compiler backend by working with global compiler, hardware, and application teams to oversee improvements and problem resolutions
- Operating Systems Compiler, Compiler Construction, Advanced Algorithms and Data Structures, Computer Architecture, Compiler Development, Open Source Programming, High-Performance Computing (HPC), Automation Tools (XLA, TVM, Halide), Open Source Tools (CLANG, LLVM, gcc)
Firmware & Embedded Software
- Supporting development of firmware run on embedded microcontrollers within GPUs, while optimizing software to improve system robustness, performance, and security
- Participating in testing new and existing firmware, and developing tools and infrastructure to improve our front-end design and verification process
- Course or internship experience related to the following areas could be required: Operating Systems (Threads, Process Control, Memory/Resource Management, Virtual Memory), Embedded Systems (Processors, Firmware, Input/Output Devices and Memory), Real-Time Performance, Low-Level Development, Data Structures & Algorithms, Computer Architecture, Computer Systems Software, Linux Kernel Development, Multi-Threaded or Multi-Process Programming, RTOS Development on Embedded Platforms
What we need to see:
- Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. degree in Electrical Engineering, Computer Engineering, or a related field, for the full duration of the internship; anticipated graduation date (month and year) must be clearly indicated on a resume or CV to be considered.
Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies:
- C, C++, C++17, CUDA, x86, Perl, ARM CPU, GPU, Embedded C, Linux, Linux Kernel Development, Bash/Shell Scripting, Graphics (2D, 3D, Render, Shaders)
- Operating Systems (Threads, Process Control, Memory/Resource Management, Virtual Memory), Formal Verification Tools (Spark, Frama-C), Linux Kernel Development, Multi-Threaded or Multi-Process Programming, Computer Networking (TCP/IP, OSI Model, Sockets), Open Source Tools (CLANG, LLVM, gcc), Testing Production/Automation Tools (XLA, TVM, Halide), Microprocessor Fundamentals (Caches, Buses, Memory Controllers, DMA, etc.)
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.
You will also be eligible for Intern benefits.
Applications are accepted on an ongoing basis. 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.
INTRODUCTION
By submitting your resume, you acknowledge that your 2027 Systems Software Engineering internship application will be processed in accordance with NVIDIA’s Applicant Privacy Policy and you agree to our Terms of Service. We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.
NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands-on experience with one of our industry-leading Systems Software teams. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.
Throughout the 12-week full-time internship, students will work on projects that have a measurable impact on our business. We’re looking for students pursuing a B.S., M.S., or Ph.D. degree within a relevant or related field.
Potential Internships in this field include:
Systems Software
- Defining, designing, and developing integrated (e.g., Jetson Orin) and discrete (e.g., Hopper H100) GPU system software components (e.g., runtime, math libraries) with focus on power and performance, as well as creating architecture and design specifications
- Course or internship experience related to the following areas could be required: Operating Systems (Threads, Process Control, Memory/Resource Management, Virtual Memory), Multithreaded Debugging, Linux Kernel Development, RTOS Development on Embedded Platforms, Data Structures & Algorithms (time/space complexity), Computer Networking (TCP/IP, OSI Model, Sockets), Low-Level Programming
Software Security
- Hardening and developing secure solutions across the software stack, spanning multi-node supercomputers down to microcontrollers and security co-processors
- Building tools and infrastructure to scale security efforts across large organizations and codebases with millions of lines of code
- Course or internship experience related to the following areas could be required: Operating Systems, Data Structures & Algorithms, Computer Networking (TCP/IP, OSI Model, Sockets), Network Security, Cryptography, Computer Systems Architecture, Microcontroller and Microprocessor fundamentals (Caches, Buses, Memory Controllers, DMA, etc.)
Graphics Systems Software
- Designing and implementing of OpenGL, OpenGL ES, and Vulkan graphics drivers, platform support, and conformance tests to support new hardware features in collaboration with other software, hardware, architecture, and support teams
- Training and debugging various issues within the Tegra graphics software stack
- Computer Architecture, Operating Systems, Real-Time Systems Development, Device Driver Programming, Game Console Middleware, or other Low-Level Library Development
- 3D/2D Graphics Theory, Implementation & Optimizations, Simulation or Emulation (writing & debugging tests)
Compiler
- Working at the center of deep-learning compiler technology, spanning architecture design and support through functional languages
- Investigating problems or optimization opportunities within the Compiler backend by working with global compiler, hardware, and application teams to oversee improvements and problem resolutions
- Operating Systems Compiler, Compiler Construction, Advanced Algorithms and Data Structures, Computer Architecture, Compiler Development, Open Source Programming, High-Performance Computing (HPC), Automation Tools (XLA, TVM, Halide), Open Source Tools (CLANG, LLVM, gcc)
Firmware & Embedded Software
- Supporting development of firmware run on embedded microcontrollers within GPUs, while optimizing software to improve system robustness, performance, and security
- Participating in testing new and existing firmware, and developing tools and infrastructure to improve our front-end design and verification process
- Course or internship experience related to the following areas could be required: Operating Systems (Threads, Process Control, Memory/Resource Management, Virtual Memory), Embedded Systems (Processors, Firmware, Input/Output Devices and Memory), Real-Time Performance, Low-Level Development, Data Structures & Algorithms, Computer Architecture, Computer Systems Software, Linux Kernel Development, Multi-Threaded or Multi-Process Programming, RTOS Development on Embedded Platforms
What we need to see:
- Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. degree in Electrical Engineering, Computer Engineering, or a related field, for the full duration of the internship; anticipated graduation date (month and year) must be clearly indicated on a resume or CV to be considered.
Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies:
- C, C++, C++17, CUDA, x86, Perl, ARM CPU, GPU, Embedded C, Linux, Linux Kernel Development, Bash/Shell Scripting, Graphics (2D, 3D, Render, Shaders)
- Operating Systems (Threads, Process Control, Memory/Resource Management, Virtual Memory), Formal Verification Tools (Spark, Frama-C), Linux Kernel Development, Multi-Threaded or Multi-Process Programming, Computer Networking (TCP/IP, OSI Model, Sockets), Open Source Tools (CLANG, LLVM, gcc), Testing Production/Automation Tools (XLA, TVM, Halide), Microprocessor Fundamentals (Caches, Buses, Memory Controllers, DMA, etc.)
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.
You will also be eligible for Intern benefits.
Applications are accepted on an ongoing basis. 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 43+ Engineering Technician Jobs at NVIDIA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Engineering Technician Jobs at NVIDIA.
Get Access To All JobsTips for Finding Engineering Technician Jobs at NVIDIA
Align your credentials to NVIDIA's hardware focus
NVIDIA's Engineering Technician roles emphasize hands-on experience with PCB assembly, hardware bring-up, and test automation. Highlight lab-based coursework, certifications like CompTIA A+ or IPC-A-610, and any exposure to GPU or semiconductor hardware in your resume.
Target NVIDIA's silicon and systems teams directly
NVIDIA organizes Engineering Technician openings across distinct hardware divisions, including GPU architecture, networking, and automotive. Filter job listings by business unit rather than searching broadly. Roles tied to silicon validation and hardware lab operations have historically supported visa sponsorship.
Verify your visa type matches NVIDIA's filing patterns
NVIDIA sponsors H-1B, E-3, and EB-2 or EB-3 pathways for technical roles. Australian citizens should confirm early whether the hiring manager is familiar with E-3 processing, since it bypasses the H-1B lottery and can move faster for eligible candidates.
Use Migrate Mate to filter NVIDIA openings by sponsorship
Search for Engineering Technician roles at NVIDIA on Migrate Mate to surface positions actively associated with visa sponsorship. This saves time compared to manually screening job boards that don't separate sponsored from non-sponsored listings.
Clarify sponsorship intent before your offer stage
NVIDIA's recruiting process can move quickly from final interview to offer. Ask your recruiter explicitly whether the role supports visa sponsorship before negotiating terms. Waiting until offer review to raise this can delay filing timelines or complicate start date planning.
Understand PERM timing if you're pursuing a Green Card
NVIDIA files EB-2 and EB-3 petitions for longer-tenured technical employees. PERM labor certification with DOL typically takes six to twelve months before the I-140 stage. If permanent residency is your goal, ask your NVIDIA recruiter whether the role is eligible during the hiring process, not after you've joined.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for Engineering Technicians?
Yes, NVIDIA sponsors H-1B visas for Engineering Technician roles. The H-1B requires the position to qualify as a specialty occupation, which NVIDIA's hardware and validation-focused technician roles generally support given their technical degree requirements. Because H-1B is subject to an annual lottery, timing your application cycle and confirming sponsorship intent with your recruiter early in the process is essential.
How do I apply for Engineering Technician jobs at NVIDIA?
Apply directly through NVIDIA's careers portal, where Engineering Technician listings include details on team, location, and requirements. Tailoring your application to highlight lab experience, hardware bring-up, or test automation skills relevant to NVIDIA's silicon and systems work will strengthen your submission. You can also browse NVIDIA's sponsored openings on Migrate Mate to identify roles with confirmed visa sponsorship before applying.
Which visa types does NVIDIA commonly use for Engineering Technician roles?
NVIDIA sponsors H-1B, E-3, and employment-based Green Card pathways including EB-2 and EB-3 for Engineering Technician positions. The E-3 is available exclusively to Australian citizens and bypasses the H-1B lottery, making it a faster path for eligible candidates. EB-2 and EB-3 Green Card sponsorship typically follows after a period of employment and depends on the specific role and business need.
What qualifications does NVIDIA expect for Engineering Technician candidates?
NVIDIA typically looks for an associate's or bachelor's degree in electrical engineering, computer engineering, or a related technical field, combined with hands-on lab experience. Familiarity with hardware debugging, oscilloscopes, PCB handling, or automated test equipment is frequently listed. Roles tied to GPU validation or networking hardware often require experience with Linux environments and scripting for test automation.
How do I understand the timeline for visa sponsorship after receiving an NVIDIA offer?
H-1B petitions must be filed by April 1 for an October 1 start date, so offer timing relative to the cap season matters significantly. E-3 applications can be filed year-round and typically process in a few weeks at a U.S. consulate. USCIS premium processing is available for H-1B petitions and can reduce adjudication to 15 business days, which NVIDIA has used for time-sensitive hires.