Junior Backend Software Engineer

About The Role

Industrial labor involves incredibly dangerous work, with almost 3 million people in the US per year suffering preventable, sometimes fatal or debilitating, workplace injuries. Protecting these essential individuals who power our world is the core motivation for the team at Voxel.

Voxel is a rapidly growing AI company dedicated to revolutionizing workplace safety and operations through its full-stack AI and computer vision platform. Voxel’s site intelligence platform empowers safety and operations leaders to identify unseen risks, make strategic decisions, and proactively prevent workplace incidents. Our clientele includes Fortune 500 companies across various sectors, such as major grocers and retailers, manufacturers, food and beverage warehousers, and supply chain and logistics providers. Based in San Francisco and supported by leading VCs, Voxel is pioneering the next generation of intelligent video analytics for workplace safety.

We are actively seeking a driven and inquisitive Junior Backend Software Engineer to join our Platform team in San Francisco. In this pivotal role, you will contribute to the backend and distributed systems that underpin our real-time perception stack. Your responsibilities will span from ingesting industrial video at scale and supporting machine learning pipelines to building robust, production-grade APIs. You will collaborate closely with engineering, data science, and product teams to deliver high-impact features that directly enhance the safety of millions of workers.

You will become part of a visionary team comprised of AI experts, seasoned entrepreneurs, and passionate problem-solvers, with a unique opportunity to shape both Voxel's technology and its evolving culture as we expand.

Responsibilities

• Contribute to the development and scaling of Voxel’s perception and computer vision systems, powering real-time understanding of industrial environments.
• Design and deploy distributed systems for video ingestion, processing, and inference across both edge devices and cloud infrastructure.
• Build and secure cloud APIs, access control systems, and backend services that support the video platform and data pipelines.
• Develop scalable and resilient services that enable low-latency event detection, real-time alerts, and historical video analytics.
• Collaborate with cross-functional teams—including ML engineers, product managers, and researchers—to bring computer vision models into production.
• Influence the team’s technical direction and uphold high standards in code quality, system design, and operational excellence.

Requirements

• Must be based in, or able to commute regularly to, the San Francisco Bay Area, California, USA for an on-site role.
• 0–2 years of experience developing backend systems using REST APIs, containerized services, and microservices architecture.
• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical software engineering experience.
• Exposure to building and scaling distributed systems, with hands-on experience using at least one of Flink, Kafka, or Kinesis for real-time data processing.
• Practical experience using Kubernetes to deploy, monitor, and manage containerized workloads.
• Working knowledge of at least one major cloud platform such as AWS, Azure, or Google Cloud Platform (GCP).

Preferred Skills

• Experience with infrastructure-as-code tools such as Terraform.
• Experience contributing to machine learning or computer vision pipelines, particularly around data ingestion or processing infrastructure.
• Experience designing and delivering production-ready backend or distributed systems in a collaborative team environment.
• Background in video analytics, computer vision, or safety-related industrial products.

Why join Voxel?

• Directly impact the safety and well-being of millions of essential workers by deploying AI in high-impact real-world environments.
• Help build a category-defining AI platform at an early stage, with significant ownership and influence on technical direction.
• Work alongside a world-class team of engineers, ML researchers, and entrepreneurs in a fast-paced, mission-driven environment.

Benefits

• Extensive health, dental, and vision insurance.
• Highly competitive paid parental leave and support system.
• Equity through an Employee Equity Incentive Plan.
• Generous paid time off and flexible work arrangements.
• Daily in-office meals, vibrant company events, and team-building activities.
• 401(k) retirement plan, HSA options, and pre-tax commuter benefits.

Key skills/competency

• Backend Development
• Distributed Systems
• REST APIs
• Computer Vision
• Machine Learning Pipelines
• Kubernetes
• Cloud Platforms (AWS/Azure/GCP)
• Real-time Data Processing
• Microservices
• System Design