Green Card Efficiency Engineer Jobs
Efficiency Engineer roles qualify for EB-2 and EB-3 green card sponsorship through the PERM labor certification process, which requires your employer to document that no qualified U.S. worker is available. Manufacturing, logistics, and industrial operations firms regularly file PERM applications for this occupation, making employment-based sponsorship a realistic path for foreign professionals with industrial engineering credentials.
Find Green Card Efficiency Engineer JobsOverview
Showing 5 of 26+ Efficiency Engineer jobs
See all Efficiency Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Efficiency Engineer roles.
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
What You Will Be Doing
- 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
What We Need To See
- 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
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 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
What You Will Be Doing
- 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
What We Need To See
- 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
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 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
See all Green Card Efficiency Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Efficiency Engineer Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as an Efficiency Engineer
Frame your credentials around PERM job requirements
PERM labor certification ties your green card to a specific job description. Before applying, confirm your degree and experience match the minimum requirements the employer will advertise, since DOL audits any mismatch between your qualifications and the posted role.
Target manufacturers with active PERM filing histories
Industrial manufacturers, third-party logistics firms, and automotive suppliers file PERM applications for Efficiency Engineers at higher rates than most sectors. Search the OFLC Wage Search to identify employers with certified LCA filings for industrial engineering job titles in your target region.
Verify your role qualifies under EB-2 or EB-3
Efficiency Engineer positions that require only a bachelor's degree typically fall under EB-3. Roles requiring a master's degree or specialized postgraduate training may qualify under EB-2. Review the O*NET occupation profile to understand how DOL classifies the education and experience benchmarks for this title.
Use Migrate Mate to find green-card-sponsoring employers
Searching broadly across general job boards won't filter for employers willing to file PERM. Migrate Mate lets you search specifically for Efficiency Engineer roles at employers with green card sponsorship history, so you spend less time on applications that lead nowhere.
Negotiate PERM filing timelines before accepting an offer
Some employers delay initiating PERM for months after your start date. Ask directly during the offer stage when they plan to begin the recruitment process, since the full PERM-to-green-card timeline runs several years and starting earlier matters significantly for your planning.
Prepare for PERM audits with documented experience records
DOL audits a portion of PERM applications and requests proof that your prior experience genuinely meets the job requirements. Gather performance reviews, project documentation, and employer letters that specifically describe your efficiency engineering responsibilities before your employer files.
Green Card Efficiency Engineer: Frequently Asked Questions
Does an Efficiency Engineer role qualify for EB-2 or EB-3 green card sponsorship?
Both categories are possible depending on the position's stated education requirements. EB-3 applies when the role requires a bachelor's degree in industrial engineering or a related field. EB-2 applies when the employer requires a master's degree or equivalent advanced credentials. USCIS evaluates the specific job requirements your employer documents in the PERM application, not just your personal qualifications.
How does the PERM green card process differ from H-1B sponsorship for this role?
H-1B visa is a temporary work visa capped at 65,000 registrations annually with a lottery, while PERM-based green card sponsorship leads to permanent residency and carries no annual cap at the EB-3 level for most countries. The PERM process takes longer overall, typically three to five years from filing to a green card, but it results in lawful permanent residency rather than a visa requiring renewal.
Which industries sponsor Efficiency Engineers for green cards most often?
Manufacturing, automotive production, third-party logistics, and consumer goods companies file the most PERM applications for industrial and efficiency engineering roles. These employers rely on process optimization specialists to reduce waste and improve throughput, creating consistent demand. OFLC wage data shows certified LCA filings for this occupation concentrated in the Midwest, Southeast, and Great Lakes manufacturing corridors.
How can I find Efficiency Engineer jobs where employers will sponsor a green card?
Most job listings don't specify whether an employer will commit to PERM sponsorship, making it hard to identify serious opportunities. Migrate Mate filters roles specifically for employers with green card sponsorship history in engineering and operations, so you can target applications toward companies that have already demonstrated willingness to sponsor rather than asking cold.
What documentation should I have ready before my employer starts the PERM process?
DOL requires your employer to demonstrate that your qualifications match the job requirements as advertised. You'll need official transcripts, degree certificates with translations if applicable, and reference letters from prior employers that describe your efficiency engineering work in specific terms. Gaps between your credentials and the PERM job description are a leading reason for audits, so consistency across all documents matters.