E-3 Visa Efficiency Engineer Jobs
Efficiency Engineer roles qualify for E-3 visa sponsorship when the position requires a bachelor's degree in industrial engineering, operations research, or a closely related field. Australian professionals can enter the U.S. job market without lottery risk, and your visa renews in two-year increments for as long as you hold a qualifying role.
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Get Access To All JobsINTRODUCTION
We are seeking a Senior AI/ML Performance and Efficiency Engineer, GPU Clusters at NVIDIA to join our AI Efficiency efforts. As an Engineer, you will have a pivotal role in enhancing efficiency for our researchers by implementing progressions throughout the entire stack. Your main task will revolve around collaborating closely with customers to pinpoint and address infrastructure and application deficiencies, facilitating groundbreaking AI and ML research on GPU Clusters. Together, we can craft potent, effective, and scalable solutions as we mold the future of AI/ML technology!
ROLE AND RESPONSIBILITIES
- Collaborate closely with our AI/ML researchers to make their ML models more efficient leading to significant productivity improvements and cost savings
- Build tools, frameworks, and apply ML techniques to detect & analyze efficiency bottlenecks and deliver productivity improvements for our researchers
- Work with researchers working on a variety of innovative ML workloads across Robotics, Autonomous vehicles, LLM’s, Videos and more
- Collaborate across the engineering organizations to deliver efficiency in our usage of hardware, software, and infrastructure
- Proactively monitor fleet wide utilization patterns, analyze existing inefficiency patterns, or discover new patterns, and deliver scalable solutions to solve them
- Keep up to date with the most recent developments in AI/ML technologies, frameworks, and successful strategies, and advocate for their integration within the organization.
BASIC QUALIFICATIONS
- BS or similar background in Computer Science or related area (or equivalent experience)
- Minimum 5+ years of experience designing and operating large scale compute infrastructure
- Strong understanding of modern ML techniques and tools
- Experience investigating, and resolving, training & inference performance end to end
- Debugging and optimization experience with NSight Systems and NSight Compute
- Experience with debugging large-scale distributed training using NCCL
- Proficiency in programming & scripting languages such as Python, Go, Bash, as well as familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) in addition to experience with parallel computing frameworks and paradigms
- Dedication to ongoing learning and staying updated on new technologies and innovative methods in the AI/ML infrastructure sector
- Excellent communication and collaboration skills, with the ability to work effectively with teams and individuals of different backgrounds
PREFERRED QUALIFICATIONS
- 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 IBOP 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
NVIDIA offers competitive salaries and a comprehensive benefits package. Our engineering teams are growing rapidly due to outstanding expansion. If you're a passionate and independent engineer with a love for technology, we want to hear from you. 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 23, 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.
JR2013283
INTRODUCTION
We are seeking a Senior AI/ML Performance and Efficiency Engineer, GPU Clusters at NVIDIA to join our AI Efficiency efforts. As an Engineer, you will have a pivotal role in enhancing efficiency for our researchers by implementing progressions throughout the entire stack. Your main task will revolve around collaborating closely with customers to pinpoint and address infrastructure and application deficiencies, facilitating groundbreaking AI and ML research on GPU Clusters. Together, we can craft potent, effective, and scalable solutions as we mold the future of AI/ML technology!
ROLE AND RESPONSIBILITIES
- Collaborate closely with our AI/ML researchers to make their ML models more efficient leading to significant productivity improvements and cost savings
- Build tools, frameworks, and apply ML techniques to detect & analyze efficiency bottlenecks and deliver productivity improvements for our researchers
- Work with researchers working on a variety of innovative ML workloads across Robotics, Autonomous vehicles, LLM’s, Videos and more
- Collaborate across the engineering organizations to deliver efficiency in our usage of hardware, software, and infrastructure
- Proactively monitor fleet wide utilization patterns, analyze existing inefficiency patterns, or discover new patterns, and deliver scalable solutions to solve them
- Keep up to date with the most recent developments in AI/ML technologies, frameworks, and successful strategies, and advocate for their integration within the organization.
BASIC QUALIFICATIONS
- BS or similar background in Computer Science or related area (or equivalent experience)
- Minimum 5+ years of experience designing and operating large scale compute infrastructure
- Strong understanding of modern ML techniques and tools
- Experience investigating, and resolving, training & inference performance end to end
- Debugging and optimization experience with NSight Systems and NSight Compute
- Experience with debugging large-scale distributed training using NCCL
- Proficiency in programming & scripting languages such as Python, Go, Bash, as well as familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) in addition to experience with parallel computing frameworks and paradigms
- Dedication to ongoing learning and staying updated on new technologies and innovative methods in the AI/ML infrastructure sector
- Excellent communication and collaboration skills, with the ability to work effectively with teams and individuals of different backgrounds
PREFERRED QUALIFICATIONS
- 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 IBOP 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
NVIDIA offers competitive salaries and a comprehensive benefits package. Our engineering teams are growing rapidly due to outstanding expansion. If you're a passionate and independent engineer with a love for technology, we want to hear from you. 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 23, 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.
JR2013283
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as an Efficiency Engineer
Align your credentials to U.S. specialty occupation standards
The E-3 requires your degree to match the role's field. An industrial engineering or operations research degree maps cleanly to Efficiency Engineer duties. If your Australian three-year bachelor's is questioned, gather transcripts showing it's equivalent to a U.S. four-year degree.
Target employers with active DOL LCA filing history
Employers must file a Labor Condition Application with the DOL before sponsoring your E-3. Search the DOL's OFLC disclosure database for companies that have certified LCAs for industrial engineering or process improvement roles recently, that shows they know the process.
Use Migrate Mate's E-3 filing service for the full process
Once you have an offer, Migrate Mate's E-3 filing service handles LCA preparation, DOL submission, and consulate appointment documentation end-to-end, so your employer doesn't need an immigration attorney on retainer to get you started.
Book your consulate appointment immediately after LCA certification
DOL LCA certification typically takes seven business days. Schedule your U.S. consulate appointment in Australia as soon as certification comes through, appointment availability in Sydney and Melbourne can stretch several weeks depending on demand.
Frame your process improvement results in U.S. industry terms
U.S. hiring managers in manufacturing, logistics, and tech evaluate Efficiency Engineer candidates on lean, Six Sigma, and Kaizen outcomes. Translate your Australian project results into those frameworks explicitly on your resume to pass initial screening filters.
Efficiency Engineer jobs are hiring across the US. Find yours.
Find Efficiency Engineer JobsEfficiency Engineer E-3 Visa: Frequently Asked Questions
Where can I find Efficiency Engineer jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for E-3 visa sponsorship roles in the U.S. You can filter by job title and see which employers have a history of sponsoring work visas, so you're not cold-applying to companies that have never navigated the process before.
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 Efficiency Engineer role qualify as a specialty occupation for the E-3?
Yes, provided the position requires at minimum a bachelor's degree in a specific field such as industrial engineering, systems engineering, or operations research. Roles where any degree is acceptable regardless of discipline won't meet the specialty occupation standard, so review the job description carefully before applying.
How does the E-3 compare to the H-1B for Efficiency Engineer candidates?
The E-3 has no lottery, no annual cap pressure, and requires only a certified LCA rather than a full USCIS petition. For Efficiency Engineers, that means a faster path from offer to start date, often within four to six weeks, compared to the H-1B's registration lottery and multi-month adjudication timeline.
Can I change employers while on an E-3 as an Efficiency Engineer?
Yes, but you need to start the process fresh with the new employer. They must file a new LCA with the DOL, and you'll need to attend a new consulate appointment in Australia to get a new visa stamp in your passport. You can't simply transfer the existing E-3 to a new company the way some other visa types allow portability.
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