Voxel→
Software Engineer - Platform at Voxel in San Francisco, CA
Entry LevelHybridFull-timeSan Francisco, CA$120k–$140k/yr
Skills
backend systems developmentdistributed systemsmachine learning pipelinescloud apisinfrastructure-as-codekubernetescode qualityteam collaboration
Job Description
Summary: Voxel is a company dedicated to revolutionizing workplace safety and operations through innovative AI and computer vision technology. They are seeking a Junior Engineer to join their Platform team, focusing on developing and scaling video analytics systems for industrial environments.
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
Required 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
Required Skills: Backend systems development, Distributed systems, Machine learning pipelines
Important Skills: Cloud APIs, Infrastructure-as-code, Kubernetes
Nice-to-Have Skills: Code quality, Team collaboration
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.
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.