Software Engineer - Platform

Who Are We

Industrial labor is incredibly dangerous work - almost 3 million people in the US per year are injured in the workplace for entirely preventable and at times, fatal or debilitating causes. Protecting these essential people who power our world is what motivates Voxelitos, and we'd love for you to join us. At Voxel, we're passionate about revolutionizing workplace safety and operations with groundbreaking, full-stack AI and computer vision technology.

Voxel’s site intelligence platform helps safety and operations leaders see the unseen risks, make strategic decisions, and prevent workplace incidents before they happen. Our customers include Fortune 500 companies across major grocers and retailers, manufacturers, food and beverage warehousers, supply chain and logistics service providers. Based in SF with team members sitting all over the globe, Voxel is backed by industry leading VC’s.

Voxel is looking for a driven and curious Junior Engineer to join our Platform team to help power the next generation of intelligent video analytics for workplace safety. In this role, you'll work on the systems that drive our real-time perception stack, from ingesting industrial video at scale to supporting machine learning pipelines and production-grade APIs. You’ll collaborate across engineering, data science, and product teams to bring high-impact features to life.

What You'll Do

• 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

Minimum Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience)
• 0- 2 years of experience developing backend systems using REST APIs, containerized services, and microservices architecture
• Exposure to building and scaling distributed systems, with hands-on experience using Flink, Kafka, or Kinesis for real-time data processing
• Familiarity with designing and delivering production-ready systems in a collaborative team environment
• Working knowledge of infrastructure-as-code tools like Terraform and cloud platforms such as AWS, Azure, or GCP
• Experience contributing to machine learning or computer vision pipelines, particularly around data ingestion or processing infrastructure
• Practical experience using Kubernetes to deploy, monitor, and manage containerized workloads

$130,000 - $140,000 a year

Base salary ranges may vary by geographic location, experience, and qualifications.

Why Join Us?

Join a visionary team revolutionizing safety and operations, directly impacting the well-being of millions of essential workers. This is your chance to build an extraordinary business and foster a vibrant company culture that demands your absolute best. Alongside AI experts, experienced entrepreneurs, and passionate problem-solvers, you'll play a pivotal role in shaping the company's growth trajectory and market position. Enjoy a competitive salary, benefits, and a dynamic work environment.

Benefits:

Extensive / Generous health, dental, and vision insurance.

Highly competitive paid parental leave and support system.

Ownership in the business through an Equity Incentive Plan.

Generous paid time off and / or flexible work arrangements.

Daily meals in-office, vibrant company events, team-building.

401K retirement plan, HSA options, pre-tax Commuter Card.