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 is a pioneer in accelerated computing, known for inventing the GPU and driving breakthroughs in gaming, computer graphics, high-performance computing, and artificial intelligence. Our technology powers everything from generative AI to autonomous systems, and we continue to shape the future of computing through innovation and collaboration. Within this mission, our team, Managed AI Superclusters (MARS) builds and scales the infrastructure, platforms, and tools that enable researchers and engineers to develop the next generation of AI/ML systems. By joining us, you’ll help design solutions that power some of the world’s most advanced computing workloads.
ROLE AND RESPONSIBILITIES
Observability is at the heart of this transformation. We are looking for a strong AI & HPC Observability Engineer to build and scale next-generation Observability and Telemetry platforms. You will design and develop high-throughput, reliable telemetry pipelines and modern data infrastructure. This role requires solid distributed systems fundamentals, production-grade coding, and a passion for operational excellence.
What You Will Be Doing:
- Design and scale observability platforms handling high-volume metrics, logs, and traces across distributed environments
- Build high-performance backend services for telemetry ingestion, processing, and routing
- Develop and extend OpenTelemetry collectors, processors, exporters, and instrumentation libraries
- Build and optimize metrics pipelines using large-scale time-series storage systems
- Design and operate real-time and batch telemetry pipelines using streaming and distributed data technologies
- Improve platform reliability, performance, and cost efficiency through tuning, capacity planning, and system optimization
- Develop monitoring, alerting, and service reliability frameworks to ensure platform health and performance
- Collaborate with platform engineering, infrastructure, and site reliability teams to deliver production-grade observability solutions
BASIC QUALIFICATIONS
- Bachelor’s degree in Computer Science, Computer Engineering, or related field or equivalent experience
- 5+ years of experience building backend or distributed systems in production environments
- Strong programming skills in Python, Go, or Java, with experience developing production-quality software
- Hands-on experience with modern observability architectures, including metrics, logs, and traces
- Solid experience with PromQL and time-series data systems
- Experience building or operating distributed data pipelines using technologies such as Kafka, Spark, or Flink
- Experience working with Kubernetes and cloud-native infrastructure
- Strong understanding of distributed systems, concurrency, and fault-tolerant system design
- Strong debugging, performance tuning, and production operations skills
PREFERRED QUALIFICATIONS
Ways To Stand Out from The Crowd:
- Proven experience designing and scaling observability platforms for AI, GPU, or HPC environments
- Hands-on expertise with OpenTelemetry, Prometheus, Kafka, and high-volume distributed telemetry pipelines
- Strong background in data engineering, time-series data modeling, and real-time performance tuning
- Experience integrating observability with AI/ML pipelines, GPU workload monitoring, or intelligent alerting
- Demonstrated use of statistical or machine learning techniques for anomaly detection, correlation, or predictive insights
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 March 6, 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 is a pioneer in accelerated computing, known for inventing the GPU and driving breakthroughs in gaming, computer graphics, high-performance computing, and artificial intelligence. Our technology powers everything from generative AI to autonomous systems, and we continue to shape the future of computing through innovation and collaboration. Within this mission, our team, Managed AI Superclusters (MARS) builds and scales the infrastructure, platforms, and tools that enable researchers and engineers to develop the next generation of AI/ML systems. By joining us, you’ll help design solutions that power some of the world’s most advanced computing workloads.
ROLE AND RESPONSIBILITIES
Observability is at the heart of this transformation. We are looking for a strong AI & HPC Observability Engineer to build and scale next-generation Observability and Telemetry platforms. You will design and develop high-throughput, reliable telemetry pipelines and modern data infrastructure. This role requires solid distributed systems fundamentals, production-grade coding, and a passion for operational excellence.
What You Will Be Doing:
- Design and scale observability platforms handling high-volume metrics, logs, and traces across distributed environments
- Build high-performance backend services for telemetry ingestion, processing, and routing
- Develop and extend OpenTelemetry collectors, processors, exporters, and instrumentation libraries
- Build and optimize metrics pipelines using large-scale time-series storage systems
- Design and operate real-time and batch telemetry pipelines using streaming and distributed data technologies
- Improve platform reliability, performance, and cost efficiency through tuning, capacity planning, and system optimization
- Develop monitoring, alerting, and service reliability frameworks to ensure platform health and performance
- Collaborate with platform engineering, infrastructure, and site reliability teams to deliver production-grade observability solutions
BASIC QUALIFICATIONS
- Bachelor’s degree in Computer Science, Computer Engineering, or related field or equivalent experience
- 5+ years of experience building backend or distributed systems in production environments
- Strong programming skills in Python, Go, or Java, with experience developing production-quality software
- Hands-on experience with modern observability architectures, including metrics, logs, and traces
- Solid experience with PromQL and time-series data systems
- Experience building or operating distributed data pipelines using technologies such as Kafka, Spark, or Flink
- Experience working with Kubernetes and cloud-native infrastructure
- Strong understanding of distributed systems, concurrency, and fault-tolerant system design
- Strong debugging, performance tuning, and production operations skills
PREFERRED QUALIFICATIONS
Ways To Stand Out from The Crowd:
- Proven experience designing and scaling observability platforms for AI, GPU, or HPC environments
- Hands-on expertise with OpenTelemetry, Prometheus, Kafka, and high-volume distributed telemetry pipelines
- Strong background in data engineering, time-series data modeling, and real-time performance tuning
- Experience integrating observability with AI/ML pipelines, GPU workload monitoring, or intelligent alerting
- Demonstrated use of statistical or machine learning techniques for anomaly detection, correlation, or predictive insights
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 March 6, 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.
See all E-3 Visa Hpc Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Hpc Engineer Jobs.
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 visa 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.
E-3 Visa Hpc Engineer: 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.