Software Engineer - ML Infrastructure
Hybrid
Full Time
#Engineering
#Machine Learning
#Artificial Intelligence
#Python
#Kubernetes
#Systems
#DevOps
#MLOps
#Cloud Infrastructure
#Distributed Systems
#Data Management
#Computer Vision
Industrial labor remains a dangerous field, with nearly 3 million workers in the United States suffering from preventable, and sometimes fatal, workplace injuries every year. At Voxel, our mission is to protect the essential people who power our world. We are building a groundbreaking, full-stack AI and computer vision platform that helps safety and operations leaders identify hidden risks and prevent incidents before they occur. Our technology is currently trusted by Fortune 500 companies in retail, manufacturing, and logistics. Backed by industry-leading venture capitalists, we operate from our base in San Francisco with a talented team distributed across the globe.
The role
We are looking for a mid-level Software Engineer to join our team on a full-time basis. This is a hybrid position where you will focus on designing and implementing the systems that support our machine learning development. As a member of our perception team, you will work in a fast-paced environment where versatility is key. We need someone who is eager to tackle complex challenges across the entire software stack to help us scale our impact.
Core responsibilities
- Design and maintain the cloud infrastructure and distributed systems required for our MLOps workflows.
- Develop internal training frameworks that make working with large, distributed models efficient and intuitive for our research team.
- Build scalable data management pipelines that ensure high performance and reliability for our computer vision applications.
Skills and experience
To be successful in this role, you should have a strong foundation in software engineering and a passion for solving open-ended problems. We require the following qualifications:
- A Bachelor’s degree in Computer Science, Robotics, or a related field.
- Proven experience in software development with high proficiency in Python.
- A demonstrated ability to solve complex technical problems independently.
While not required, we value candidates who possess a Master’s or PhD in a relevant field, at least two years of experience in infrastructure design, and hands-on expertise with Kubernetes. Experience shipping production software for MLOps or DevOps, as well as a background in computer vision, will set you apart.
Compensation and benefits
We are committed to supporting our team members both professionally and personally. By joining Voxel, you will receive equity in the company and a comprehensive benefits package, which includes:
- Medical, dental, and vision insurance.
- A 401k retirement plan and HSA options.
- Generous paid time off and flexible work arrangements.
- Commuter benefits.
- Hybrid work opportunities.
How to apply
If you are motivated by the prospect of using AI to improve workplace safety and want to contribute to a growing, mission-driven team, we would love to hear from you. Please submit your application to be considered for this role.








