Hybrid Software Engineer – Platform

at Voxel

• Job title: Software Engineer – Platform
• Job type: Full Time
• Experience level: Junior
• Salary: $120,000 - $140,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Distributed Systems, Google Cloud Platform, Kafka, Kubernetes, Microservices, Terraform
• Location requirements: Hybrid, San Francisco, United States

About the role

• Junior Engineer developing intelligent video analytics to improve workplace safety through an AI platform. Collaborating with teams to build systems for real-time video processing.

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

• 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.

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.