E-3 Visa Hpc Engineer Jobs
HPC Engineer roles in the U.S. qualify as specialty occupations under the E-3 visa, making Australian nationals eligible for sponsorship without entering the H-1B lottery. Employers file a Labor Condition Application before your consulate appointment, and the visa renews in two-year increments with no cap on total renewals.
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Get Access To All JobsINTRODUCTION
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice to join us today!
ROLE AND RESPONSIBILITIES
As a member of the GPU AI/HPC Infrastructure team, you will provide leadership in the design and implementation of groundbreaking GPU compute clusters that run demanding deep learning, high performance computing, and computationally intensive workloads. We seek a technical leader to identify architectural changes and/or completely new approaches for our GPU Compute Clusters. As an expert, you will help us with the strategic challenges we encounter including: compute, networking, and storage design for large scale, high performance workloads, effective resource utilization in a heterogeneous compute environment, evolving our private/public cloud strategy, capacity modeling, and growth planning across our global computing environment.
What you'll be doing:
- Provide leadership and strategic guidance on the management of large-scale HPC systems including the deployment of compute, networking, and storage.
- Develop and improve our ecosystem around GPU-accelerated computing including developing scalable automation solutions.
- Build and maintain AI and ML heterogeneous clusters on-premises and in the cloud.
- Create and cultivate customer and cross-team relationships to reliably sustain the clusters and meet user evolving user needs.
- Support our researchers to run their workloads including performance analysis and optimizations.
- Conduct root cause analysis and suggest corrective action. Proactively find and fix issues before they occur.
BASIC QUALIFICATIONS
What we need to see:
- Bachelor’s degree in Computer Science, Electrical Engineering or related field or equivalent experience.
- Minimum 5+ years of experience designing and operating large scale compute infrastructure.
- Experience with AI/HPC advanced job schedulers, such as Slurm, K8s, PBS, RTDA or LSF.
- Proficient in administering Centos/RHEL and/or Ubuntu Linux distributions.
- Solid understanding of cluster configuration management tools such as Ansible, Puppet, Salt.
- In-depth understanding of container technologies like Docker, Singularity, Podman, Shifter, Charliecloud.
- Proficiency in Python programming and bash scripting.
- Applied experience with AI/HPC workflows that use MPI.
- Experience analyzing and tuning performance for a variety of AI/HPC workloads.
- Passion for continual learning and staying ahead of emerging technologies and effective approaches in the HPC and AI/ML infrastructure fields.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Background with NVIDIA GPUs, CUDA Programming, NCCL and MLPerf benchmarking.
- Experience with Machine Learning and Deep Learning concepts, algorithms and models.
- Familiarity with InfiniBand with IPoIB and RDMA.
- Understanding of fast, distributed storage systems like Lustre and GPFS for AI/HPC workloads.
- Familiarity with deep learning frameworks like PyTorch and TensorFlow.
COMPENSATION
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 28, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice to join us today!
ROLE AND RESPONSIBILITIES
As a member of the GPU AI/HPC Infrastructure team, you will provide leadership in the design and implementation of groundbreaking GPU compute clusters that run demanding deep learning, high performance computing, and computationally intensive workloads. We seek a technical leader to identify architectural changes and/or completely new approaches for our GPU Compute Clusters. As an expert, you will help us with the strategic challenges we encounter including: compute, networking, and storage design for large scale, high performance workloads, effective resource utilization in a heterogeneous compute environment, evolving our private/public cloud strategy, capacity modeling, and growth planning across our global computing environment.
What you'll be doing:
- Provide leadership and strategic guidance on the management of large-scale HPC systems including the deployment of compute, networking, and storage.
- Develop and improve our ecosystem around GPU-accelerated computing including developing scalable automation solutions.
- Build and maintain AI and ML heterogeneous clusters on-premises and in the cloud.
- Create and cultivate customer and cross-team relationships to reliably sustain the clusters and meet user evolving user needs.
- Support our researchers to run their workloads including performance analysis and optimizations.
- Conduct root cause analysis and suggest corrective action. Proactively find and fix issues before they occur.
BASIC QUALIFICATIONS
What we need to see:
- Bachelor’s degree in Computer Science, Electrical Engineering or related field or equivalent experience.
- Minimum 5+ years of experience designing and operating large scale compute infrastructure.
- Experience with AI/HPC advanced job schedulers, such as Slurm, K8s, PBS, RTDA or LSF.
- Proficient in administering Centos/RHEL and/or Ubuntu Linux distributions.
- Solid understanding of cluster configuration management tools such as Ansible, Puppet, Salt.
- In-depth understanding of container technologies like Docker, Singularity, Podman, Shifter, Charliecloud.
- Proficiency in Python programming and bash scripting.
- Applied experience with AI/HPC workflows that use MPI.
- Experience analyzing and tuning performance for a variety of AI/HPC workloads.
- Passion for continual learning and staying ahead of emerging technologies and effective approaches in the HPC and AI/ML infrastructure fields.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Background with NVIDIA GPUs, CUDA Programming, NCCL and MLPerf benchmarking.
- Experience with Machine Learning and Deep Learning concepts, algorithms and models.
- Familiarity with InfiniBand with IPoIB and RDMA.
- Understanding of fast, distributed storage systems like Lustre and GPFS for AI/HPC workloads.
- Familiarity with deep learning frameworks like PyTorch and TensorFlow.
COMPENSATION
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 28, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Hpc Engineer
Translate your HPC credentials for U.S. employers
Australian three-year bachelor's degrees in computer science or engineering are accepted as equivalent to U.S. four-year degrees for E-3 specialty occupation purposes. Gather official transcripts and a credential evaluation letter before outreach to remove any employer hesitation upfront.
Target national labs and cloud infrastructure teams
HPC sponsorship is concentrated in national laboratory contractors, hyperscaler infrastructure groups, and computational research divisions at universities. These employers run recurring HPC headcount and have existing E-3 workflows, reducing the internal approval friction you'd face at smaller firms.
Search E-3 sponsored HPC roles through Migrate Mate
Use Migrate Mate to filter HPC Engineer openings by E-3 sponsorship availability. The platform surfaces roles where employers have already indicated willingness to sponsor, saving you from screening dozens of listings that exclude visa candidates.
Confirm the LCA covers your actual work location
If your HPC role involves on-site work at a data center or national lab campus different from your employer's headquarters, the Labor Condition Application must list that specific worksite. Flag this with your employer before the DOL filing to avoid a mismatch that could delay your visa.
Use Migrate Mate's E-3 filing service for LCA and consulate paperwork
The LCA filing, DS-160 completion, and consulate document package all have interdependencies that create errors when handled piecemeal. Migrate Mate's E-3 filing service manages the entire process from offer letter to consulate appointment, coordinating each step in the correct sequence.
Prepare for specialty occupation questions at the consulate
Consular officers occasionally question whether HPC Engineer roles require a specific degree rather than general IT experience. Bring a detailed offer letter that ties your parallel computing, interconnect architecture, or performance optimization responsibilities directly to your engineering or computer science degree field.
Hpc Engineer jobs are hiring across the US. Find yours.
Find Hpc Engineer JobsHpc Engineer E-3 Visa: Frequently Asked Questions
How do I find HPC Engineer jobs that offer E-3 visa sponsorship?
Use Migrate Mate to search HPC Engineer roles filtered specifically for E-3 sponsorship. Most general job boards don't distinguish between H-1B and E-3 willing employers, so you end up cold-filtering manually. Migrate Mate surfaces roles where employers have already indicated they'll sponsor Australian nationals, which cuts out most of that screening work.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does an HPC Engineer role qualify as a specialty occupation for the E-3 visa?
Yes. HPC Engineer positions require at least a bachelor's degree in computer science, computer engineering, or a closely related field, which meets the specialty occupation definition USCIS applies to E-3 petitions. Roles focused on parallel computing architecture, job scheduler optimization, or interconnect performance routinely clear this threshold. Where you need to be careful is if the job description is written broadly enough that any IT background would qualify, which can undermine the specialty occupation argument at the consulate.
How does the E-3 visa compare to the H-1B for HPC Engineers?
The E-3 has no annual lottery, so you can start work as soon as your consulate appointment clears rather than waiting for an October 1 start date. It renews indefinitely in two-year increments as long as you maintain qualifying employment. The trade-off is exclusivity: only Australian citizens can use it. H-1B has a broader cap of 85,000 per year but requires surviving a lottery with roughly a one-in-four selection rate for most applicants.
What happens to my E-3 status if I change HPC roles or employers?
The E-3 is employer-specific, so changing employers requires your new employer to file a fresh Labor Condition Application with the DOL and you to obtain a new E-3 visa stamp, typically at an Australian consulate. There's no portability provision like the one H-1B holders have after 180 days. Plan your transition timeline so your new LCA is certified before your current status expires to avoid any gap in work authorization.
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