Voxel51 Visa Sponsorship USA
Voxel51 is an AI and computer vision software company known for its open-source data tools used by machine learning teams. The company sponsors H-1B and TN visas, making it a relevant target for international candidates in AI, data science, and software engineering roles.
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INTRODUCTION
First and most importantly: our mission is to bring transparency and clarity to the world's data. Our platform, FiftyOne, is where AI work happens. Our enterprise platform is the mission critical linchpin for managing unstructured data, model development, and AI systems at the world's largest companies. We believe that open source is the way to lead the data-centric AI revolution. Our open source version has 4 million downloads to-date. Our software massively impacts AI work across almost every vertical: from self-driving cars to medical imaging to revolutionizing agriculture, we are at the thrilling center of real-world AI advancement’s next wave. And we’re built on three key tenets:
* We are all human beings: we strive to be a “human-first” organization and treat everyone with the respect, care, and flexibility that all people deserve.
* We are distributed: we believe in getting autonomy and power into the hands of people actually doing the work.
* We believe in the power of community. We are fully remote, hiring for people based in North America and who are prepared to travel to at least 2 in-person retreats per year.
ABOUT YOUR ROLE
As a Principal Infrastructure Engineer at Voxel51, you will shape the architecture and strategy of the systems that power our platform — from individual researchers to enterprise-scale deployments. You’ll lead the design of containerized systems, CI/CD pipelines, and deployment solutions across cloud and on-premises environments, while solving the unique challenges of serving unstructured data (images and video) at scale. You’ll partner with enterprise customers, guiding and troubleshooting their production deployments. You’ll collaborate across engineering teams to improve developer productivity, and mentor peers while setting infrastructure best practices. Your work will directly shape the reliability, security, and scalability of Voxel51’s platform — and accelerate our mission to democratize data-centric ML.
WHAT YOU WILL DO
Shape the architecture and evolution of Voxel51’s infrastructure to support deployments ranging from individual researchers to Fortune 500 enterprises
Design, build, and scale deployment systems across cloud (GCP, AWS, Azure) and on-premises environments, ensuring reliability, security, and repeatability
Partner with enterprise customers (and our Customer Success Machine Learning Engineers) to deliver and support production-grade deployments in their environments, guiding them through installation, troubleshooting, and scaling
Lead infrastructure initiatives across engineering teams, enabling peers to develop, test, and ship features faster with robust internal tooling and automation
Drive best practices in CI/CD, evolving our pipelines (currently GitHub Actions + Google Cloud Build) and introducing new approaches where they add value
Develop and maintain deployment solutions for Voxel51-hosted environments (GKE) as well as customer on-prem installations (K8s or Docker Compose)
Champion developer productivity, improving workflows for development and automated cloud deployments
Troubleshoot and resolve complex infrastructure issues, spanning build failures, runtime failures, and customer deployment challenges
Anticipate and prevent failures by designing monitoring, alerting, and predictive solutions for both internal and customer environments
Mentor engineers and set technical direction, ensuring Voxel51’s infrastructure remains ahead of customer needs and industry trends
WHAT YOU SHOULD BRING
Deep experience with containerized environments
Building, packaging, and debugging container images
Kubernetes (and Docker Compose) for orchestration
Building, maintaining, and deploying Helm charts
Infrastructure as Code expertise (Terraform, Ansible, or equivalent)
Scripting and automation skills (Bash or similar)
Python expertise, including build and environment management, packaging/distribution, release management, and dependency debugging
CI/CD systems experience, ideally GitHub Actions (we use this today)
Cloud infrastructure knowledge, especially GCP (IAM, VPC, load balancing, ingress/egress routing, proxies, firewall rules)
Database fundamentals, ideally MongoDB or similar NoSQL systems
Observability skills, including designing meaningful monitors, logging, tracing, and alerting
Security best practices, including certificates, service accounts, least privilege, and role assumptions
Troubleshooting ability across complex, distributed systems (including with customers in the loop)
Testing mindset: comfortable with designing and applying different types of tests to validate functionality
Strong communication skills, with the ability to work directly with enterprise customers as well as collaborate across teams in a remote-first, collaborative environment
Adaptability and curiosity, with the ability to ramp quickly on unfamiliar concepts and technologies
COMPENSATION
The cash compensation for this person is in the $250K-$280K range. In addition to base comp for this role, we offer equity in the form of options, a variety of benefits, and the opportunity to grow in an exciting and collaborative environment.

INTRODUCTION
First and most importantly: our mission is to bring transparency and clarity to the world's data. Our platform, FiftyOne, is where AI work happens. Our enterprise platform is the mission critical linchpin for managing unstructured data, model development, and AI systems at the world's largest companies. We believe that open source is the way to lead the data-centric AI revolution. Our open source version has 4 million downloads to-date. Our software massively impacts AI work across almost every vertical: from self-driving cars to medical imaging to revolutionizing agriculture, we are at the thrilling center of real-world AI advancement’s next wave. And we’re built on three key tenets:
* We are all human beings: we strive to be a “human-first” organization and treat everyone with the respect, care, and flexibility that all people deserve.
* We are distributed: we believe in getting autonomy and power into the hands of people actually doing the work.
* We believe in the power of community. We are fully remote, hiring for people based in North America and who are prepared to travel to at least 2 in-person retreats per year.
ABOUT YOUR ROLE
As a Principal Infrastructure Engineer at Voxel51, you will shape the architecture and strategy of the systems that power our platform — from individual researchers to enterprise-scale deployments. You’ll lead the design of containerized systems, CI/CD pipelines, and deployment solutions across cloud and on-premises environments, while solving the unique challenges of serving unstructured data (images and video) at scale. You’ll partner with enterprise customers, guiding and troubleshooting their production deployments. You’ll collaborate across engineering teams to improve developer productivity, and mentor peers while setting infrastructure best practices. Your work will directly shape the reliability, security, and scalability of Voxel51’s platform — and accelerate our mission to democratize data-centric ML.
WHAT YOU WILL DO
Shape the architecture and evolution of Voxel51’s infrastructure to support deployments ranging from individual researchers to Fortune 500 enterprises
Design, build, and scale deployment systems across cloud (GCP, AWS, Azure) and on-premises environments, ensuring reliability, security, and repeatability
Partner with enterprise customers (and our Customer Success Machine Learning Engineers) to deliver and support production-grade deployments in their environments, guiding them through installation, troubleshooting, and scaling
Lead infrastructure initiatives across engineering teams, enabling peers to develop, test, and ship features faster with robust internal tooling and automation
Drive best practices in CI/CD, evolving our pipelines (currently GitHub Actions + Google Cloud Build) and introducing new approaches where they add value
Develop and maintain deployment solutions for Voxel51-hosted environments (GKE) as well as customer on-prem installations (K8s or Docker Compose)
Champion developer productivity, improving workflows for development and automated cloud deployments
Troubleshoot and resolve complex infrastructure issues, spanning build failures, runtime failures, and customer deployment challenges
Anticipate and prevent failures by designing monitoring, alerting, and predictive solutions for both internal and customer environments
Mentor engineers and set technical direction, ensuring Voxel51’s infrastructure remains ahead of customer needs and industry trends
WHAT YOU SHOULD BRING
Deep experience with containerized environments
Building, packaging, and debugging container images
Kubernetes (and Docker Compose) for orchestration
Building, maintaining, and deploying Helm charts
Infrastructure as Code expertise (Terraform, Ansible, or equivalent)
Scripting and automation skills (Bash or similar)
Python expertise, including build and environment management, packaging/distribution, release management, and dependency debugging
CI/CD systems experience, ideally GitHub Actions (we use this today)
Cloud infrastructure knowledge, especially GCP (IAM, VPC, load balancing, ingress/egress routing, proxies, firewall rules)
Database fundamentals, ideally MongoDB or similar NoSQL systems
Observability skills, including designing meaningful monitors, logging, tracing, and alerting
Security best practices, including certificates, service accounts, least privilege, and role assumptions
Troubleshooting ability across complex, distributed systems (including with customers in the loop)
Testing mindset: comfortable with designing and applying different types of tests to validate functionality
Strong communication skills, with the ability to work directly with enterprise customers as well as collaborate across teams in a remote-first, collaborative environment
Adaptability and curiosity, with the ability to ramp quickly on unfamiliar concepts and technologies
COMPENSATION
The cash compensation for this person is in the $250K-$280K range. In addition to base comp for this role, we offer equity in the form of options, a variety of benefits, and the opportunity to grow in an exciting and collaborative environment.
Job Roles at Voxel51 Companies
How to Get Visa Sponsorship in Voxel51 Visa Sponsorship USA
Target roles aligned with Voxel51's core technology
Voxel51 builds tools for visual AI and dataset management, so roles in machine learning, computer vision, and data engineering are the most natural fit for visa sponsorship. Tailor your application to their specific technical stack and open-source ecosystem.
Demonstrate deep expertise in AI or data tooling
As a specialized AI software company, Voxel51 values niche technical depth over generalist experience. Highlighting hands-on work with computer vision frameworks or large-scale dataset pipelines will strengthen your case for sponsorship consideration.
Engage with Voxel51's open-source community early
Voxel51 maintains active open-source projects like FiftyOne. Contributing to their repositories or engaging in community discussions is a credible way to get on the company's radar before applying for a sponsored role.
Apply proactively given their focused hiring footprint
Voxel51 is a focused technology company with targeted hiring needs rather than large-scale recruitment. Monitor their openings closely and apply quickly when relevant roles appear. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history.
Frame your specialty occupation credentials clearly
H-1B sponsorship at a company like Voxel51 depends on demonstrating that your role is a specialty occupation tied to your degree field. Ensure your resume explicitly connects your educational background to the specific technical role you're applying for.
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Get Access To All JobsFrequently Asked Questions
Does Voxel51 sponsor H-1B visas?
Yes, Voxel51 sponsors H-1B visas. The company operates in the AI and computer vision software space, and its sponsored roles have historically aligned with technical positions in machine learning, software engineering, and data science. Given its size and specialized focus, sponsorship tends to be targeted rather than broad, so applying for roles that closely match your technical background improves your chances.
What visa types does Voxel51 sponsor?
Voxel51 sponsors both H-1B and TN visas. The TN visa is available to Canadian and Mexican nationals in specific professional categories, and software and engineering roles at Voxel51 generally qualify. If you're eligible for TN status, it can be a faster alternative to the H-1B lottery process when targeting a company with Voxel51's technical hiring profile.
Which departments or roles at Voxel51 are most likely to receive visa sponsorship?
Sponsorship at Voxel51 is most commonly associated with technical roles in software engineering, machine learning, and AI research, reflecting the company's core focus on visual data tooling and computer vision infrastructure. Roles requiring specialized expertise in these areas are the strongest candidates for H-1B or TN sponsorship, as they align with the specialty occupation criteria USCIS applies.
How do I find open visa-sponsored jobs at Voxel51?
Migrate Mate is the most reliable way to find verified sponsorship opportunities at companies like Voxel51. Rather than guessing which employers will sponsor, Migrate Mate lets you filter job listings by confirmed sponsorship history, visa type, and industry, so you can focus your search on companies that have actually filed for the visa category you need.
How do I approach the application timeline when targeting Voxel51 for H-1B sponsorship?
H-1B sponsorship at any employer requires the company to file a petition in April for an October start date, so timing your job search to land an offer by early Q1 is important. At a smaller, specialized company like Voxel51, decisions can move quickly once interest is confirmed. Starting your outreach several months before the USCIS filing window gives both sides adequate time to align on the sponsorship process.
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