E-3 Visa Technical Pre Sales Jobs
Technical Pre Sales roles in the U.S. qualify for E-3 visa sponsorship when the position requires a bachelor's degree in a field like engineering, computer science, or business. The E-3 has no lottery and no annual cap, so Australian professionals can move quickly once an employer is ready to file.
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Get Access To All JobsOur Mission
Reflection’s mission is to build open superintelligence and make it accessible to all. We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.
About The Role
- Build and scale distributed training systems that power frontier model pre-training.
- Work closely with research teams to design and operate large-scale training runs for foundation models.
- Develop infrastructure that enables efficient training across thousands of GPUs using modern distributed training frameworks.
- Optimize training throughput, stability, and efficiency for large model training workloads.
- Collaborate directly with pre-training researchers to translate experimental ideas into scalable, production-ready training systems.
- Improve performance of distributed training workloads through optimization of communication, memory usage, and GPU utilization.
- Build and maintain training pipelines that support large-scale datasets, checkpointing, and experiment iteration.
- Debug and resolve performance bottlenecks across distributed training stacks including model parallelism, GPU communication, and training runtime systems.
- Contribute to the development of systems that enable rapid experimentation and iteration on new training techniques.
Ideal Experience
- Experience building or operating distributed training systems for large machine learning models.
- Strong experience working with modern distributed training frameworks such as Megatron, DeepSpeed, or similar large-scale training systems.
- Familiarity with large-scale model parallelism strategies (data, tensor, pipeline, or expert parallelism).
- Experience optimizing training throughput and GPU utilization in large distributed environments.
- Familiarity with GPU communication libraries such as NCCL and performance tuning for distributed workloads.
- Experience working closely with ML researchers to productionize experimental training workflows.
- Strong debugging skills across GPU compute, distributed training systems, and large-scale ML pipelines.
- Experience working with large datasets and training pipelines used for foundation model pre-training.
What We Offer
We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models. We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
- Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.
- Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.
- Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.
- Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time.
- Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.
Our Mission
Reflection’s mission is to build open superintelligence and make it accessible to all. We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.
About The Role
- Build and scale distributed training systems that power frontier model pre-training.
- Work closely with research teams to design and operate large-scale training runs for foundation models.
- Develop infrastructure that enables efficient training across thousands of GPUs using modern distributed training frameworks.
- Optimize training throughput, stability, and efficiency for large model training workloads.
- Collaborate directly with pre-training researchers to translate experimental ideas into scalable, production-ready training systems.
- Improve performance of distributed training workloads through optimization of communication, memory usage, and GPU utilization.
- Build and maintain training pipelines that support large-scale datasets, checkpointing, and experiment iteration.
- Debug and resolve performance bottlenecks across distributed training stacks including model parallelism, GPU communication, and training runtime systems.
- Contribute to the development of systems that enable rapid experimentation and iteration on new training techniques.
Ideal Experience
- Experience building or operating distributed training systems for large machine learning models.
- Strong experience working with modern distributed training frameworks such as Megatron, DeepSpeed, or similar large-scale training systems.
- Familiarity with large-scale model parallelism strategies (data, tensor, pipeline, or expert parallelism).
- Experience optimizing training throughput and GPU utilization in large distributed environments.
- Familiarity with GPU communication libraries such as NCCL and performance tuning for distributed workloads.
- Experience working closely with ML researchers to productionize experimental training workflows.
- Strong debugging skills across GPU compute, distributed training systems, and large-scale ML pipelines.
- Experience working with large datasets and training pipelines used for foundation model pre-training.
What We Offer
We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models. We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
- Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.
- Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.
- Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.
- Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time.
- Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.
See all 104+ E-3 Visa Technical Pre Sales Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Technical Pre Sales Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship in Technical Pre Sales
Frame your degree for specialty occupation
Technical Pre Sales sits at the intersection of engineering and sales, so your degree field matters. A computer science, electrical engineering, or IT degree maps cleanly to the specialty occupation requirement. A general business degree alone may invite scrutiny at the consulate.
Target employers with existing LCA history
Search the DOL's OFLC disclosure data for companies that have filed Labor Condition Applications for Pre Sales or Solutions Engineer roles. Employers who have done it before understand the process and won't treat your E-3 visa as a blocker during offer negotiations.
Distinguish your role from general sales at interview
Consular officers sometimes question whether Pre Sales work qualifies as a specialty occupation. Bring documentation showing the technical depth of your role: architecture diagrams, proof-of-concept deliverables, or a job description that ties the position to an engineering or IT degree field.
Get your LCA certified before resigning in Australia
The DOL certifies the LCA within seven business days in most cases. Don't give notice or book flights until your employer has a certified LCA in hand. That document is required before you can lodge your visa application at a U.S. consulate in Australia.
Use Migrate Mate's E-3 filing service for technical roles
Pre Sales job descriptions vary significantly by employer, which can create specialty occupation documentation challenges. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork, including role-specific documentation that demonstrates the required degree connection.
Negotiate who pays government fees before signing
The E-3 requires an employer-filed LCA and a consular visa fee you pay directly. Neither is prohibitive, but clarify in writing who covers the LCA preparation costs before you sign an offer letter, especially with startups unfamiliar with E-3 sponsorship mechanics.
E-3 Visa Technical Pre Sales: Frequently Asked Questions
How do I find Technical Pre Sales jobs with E-3 sponsorship?
Migrate Mate is built specifically for this search. It surfaces Technical Pre Sales roles at U.S. employers who are open to E-3 sponsorship, so you're not cold-applying to companies that have never heard of the visa. Filtering by visa type upfront saves significant time compared to general job searches where sponsorship willingness is unclear.
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 a Technical Pre Sales role qualify as a specialty occupation for the E-3?
Yes, if the position requires a bachelor's degree in a specific technical field such as computer science, electrical engineering, or information technology. The key is that your employer's job description must link the role to a degree requirement, not just state that a degree is preferred. General sales roles without a technical degree requirement typically don't qualify. Pre Sales engineer and solutions consultant titles with documented technical scope pass more reliably.
How does the E-3 compare to the H-1B for Technical Pre Sales professionals?
The E-3 is substantially more practical for Australian nationals in this role. There's no lottery, no annual cap, and no April registration window to miss. You can apply year-round once you have a job offer and a certified LCA. The H-1B visa requires lottery selection, a wait until October 1 to start work, and registration that closes in March. For Pre Sales roles that often have urgent start dates, the E-3 timeline is far more compatible with how U.S. hiring actually works.
Can I change employers while on an E-3 in a Technical Pre Sales role?
Yes, but the process restarts with each employer change. Your new employer files a fresh LCA and you apply for a new E-3 visa, either at a U.S. consulate in Australia or, in some cases, from within the U.S. Unlike H-1B portability rules, there's no carry-over from your previous employer's petition. Build enough runway before transitioning to cover the LCA certification period, which typically takes around seven business days.