Technical Pre Sales Jobs in USA with Visa Sponsorship
Technical pre-sales engineers who need visa sponsorship are a strong fit for H-1B visa and O-1 visas, since the role requires a bachelor's degree in engineering, computer science, or a related technical field, meeting the specialty occupation standard USCIS uses to approve petitions. For detailed occupation requirements, see the O*NET profile.
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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 2,335+ Technical Pre Sales Jobs
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Get Access To All JobsTips for Finding Technical Pre Sales Jobs
Target enterprise software and infrastructure companies
Large enterprise software vendors, cloud infrastructure providers, and cybersecurity firms sponsor technical pre-sales roles most consistently. These companies have established immigration programs and are familiar with H-1B requirements for solution engineers and pre-sales architects.
Emphasize your technical degree on every application
USCIS approves H-1B petitions for pre-sales roles when applicants hold a degree in computer science, electrical engineering, or a directly related field. Lead with your degree prominently, it's the foundation of the specialty occupation argument your employer will make.
Frame your role as technical, not purely sales
Pre-sales engineers face more scrutiny than software developers because the title sounds commercial. Highlight technical responsibilities: architecting solutions, running proof-of-concept engagements, and producing technical documentation. This framing strengthens the specialty occupation case significantly.
Ask about cap-exempt employers early
Universities, nonprofit research institutions, and affiliated entities are exempt from the H-1B lottery. Some pre-sales roles exist at these organizations. If you've missed a lottery cycle, cap-exempt employers offer a direct path to H-1B status without waiting for the next registration period.
Consider the O-1A if you have documented achievements
Pre-sales engineers with speaking engagements, published technical content, industry awards, or a track record of high-value enterprise deals may qualify for the O-1A. This visa has no cap and no lottery, making it a strong alternative if your H-1B petition faces complications.
Browse Migrate Mate before applying broadly
Not every company that posts pre-sales roles is willing to sponsor. Migrate Mate filters jobs to surface employers with an active sponsorship history, saving you from applying to postings that will stall at the offer stage when you mention visa requirements.
Frequently Asked Questions
Does technical pre-sales qualify as a specialty occupation for H-1B purposes?
Yes, when the role demonstrably requires a bachelor's degree or higher in a specific technical field such as computer science, engineering, or information technology. The challenge is that USCIS scrutinizes pre-sales roles more than pure engineering positions, because the duties blend technical and commercial responsibilities. Your employer's petition needs to clearly document that the technical requirements drive the role, not the sales component.
Which visa types do technical pre-sales engineers typically get sponsored for?
The H-1B visa is the most common path, followed by the O-1A for candidates with strong professional recognition. L-1B is an option if you're transferring from a foreign affiliate of a U.S. company and have specialized knowledge of the employer's products or architecture. The TN visa covers pre-sales roles for Canadian and Mexican nationals when the position maps to an approved NAFTA/USMCA occupation category.
What degree does a technical pre-sales engineer need to get sponsored?
A bachelor's degree in computer science, electrical engineering, information systems, or a closely related technical discipline is the standard requirement. Degrees in business with a technology minor are unlikely to satisfy USCIS's specialty occupation standard on their own. If your degree field is adjacent rather than directly related, relevant certifications and work history in a technical domain can strengthen the petition, but the degree field still matters significantly.
How do I find technical pre-sales jobs that actually offer visa sponsorship?
Most job postings don't advertise sponsorship availability clearly, which means you often find out late in the process. Migrate Mate curates roles specifically for candidates who need sponsorship, so you can focus your search on employers already open to the process. This is especially useful for pre-sales roles, where sponsorship willingness varies widely by company size and industry.
Are technical pre-sales roles at higher risk of H-1B denial than engineering roles?
They can be. USCIS has issued RFEs and denials for pre-sales petitions where the job description emphasized revenue targets, client relationship management, or business development over technical duties. Approval rates improve substantially when the petition documents specific technical tasks: solution architecture, integration design, product demonstration engineering, and technical documentation. Companies with prior approvals for the same role title are a safer bet than those sponsoring the title for the first time.
What is the prevailing wage requirement for sponsored Technical Pre Sales jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.