Senior/Staff Software Engineer, Voxel
Platform
$190-250k
Computer vision for security cameras
Be an early applicant
Computer vision for security cameras
21-100 employees
Be an early applicant
$190-250k
21-100 employees
Company mission
To pioneer new standards for enterprise EHS and operations teams through innovative technology.
Role
Who you are
- The ideal candidate has a strong background in software engineering, extensive experience with distributed systems, and deep expertise in building and operating cloud-native infrastructure at scale
- Bachelor's degree in Computer Science, Software Engineering, or a related technical field (or equivalent experience)
- 5+ years of experience designing and building backend systems using REST/gRPC APIs, microservices, and containerized architectures
- Proven track record of building and scaling distributed systems with real-time data processing using tools like Kafka, Flink, or Kinesis
- Strong familiarity with deploying production systems in cloud environments such as AWS, GCP, or Azure
- Experience using Kubernetes to deploy, scale, and manage containerized applications in production
- Hands-on experience with infrastructure-as-code tools like Terraform or CloudFormation
- Exposure to ML or computer vision pipelines, especially around data ingestion, preprocessing, or inference integration
- Comfortable leading small technical projects or independently driving a component from design through deployment
What the job involves
- Voxel is seeking a highly skilled and experienced Senior Software Engineer, Platform to join our team
- In this role you will design, build, and scale the core systems that power Voxel’s perception and computer-vision platform
- Design, build, and scale core components of Voxel’s perception and computer vision systems, enabling real-time understanding of safety and operations in industrial environments
- Lead the development of distributed systems for ingesting, processing, and analyzing video data across edge devices and cloud infrastructure
- Develop secure, scalable backend services and APIs to power our video platform, including access control, data pipelines, and event detection services
- Contribute to the architecture of low-latency, resilient services supporting real-time alerts, historical analytics, and ML inference workflows
- Partner with ML engineers, product managers, and platform teams to deploy and operationalize machine learning models in production
- Take ownership of key technical areas, influence design decisions, and mentor junior engineers when needed
- Uphold engineering best practices in code quality, testing, monitoring, and operational excellence
Our take
Industry warehouses are vital to the world's economy, but workplace injuries remain a real and present danger to workers. Voxel solves this problem with its AI-powered security cameras, designed to monitor environments and detect hazards.
Voxel's AI integrates with existing security cameras to detect safety risks, from spills to near-miss vehicle collisions. Once a hazard is identified, it alerts key personnel, enabling immediate action. This proactive system has significantly reduced workplace injuries, with like like Michale's, Dollar Tree, and Clorox seeing accident rates drop by up to 80%, while also improving operational efficiency.
Since its launch in 2020, it has raised $30M. With this substantial funding under its belt, Voxel is working to expand its reach to new industries like ports and airports. With this commitment to demonstrating AI's positive impact, the space is an exciting one for Voxel.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Jun 2025
$44m
SERIES B
Aug 2023
$12m
EARLY VC
Total funding: $74m
Company 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
Company HQ
SoMa, San Francisco, CA
Leadership
Anurag Kanungo
(Co-Founder & CTO)Worked as a Software Engineer at the Foundation for Learning Equality and Intuit. Co-founded Medopad before joining Uber as a Senior Autonomy Engineer.
Harishma Dayanidhi
(Co-Founder)Previously worked as a Software Engineer at Uber and Aurora.
Troy Carlson
(Co-Founder)Previously worked as a Software Engineer at companies including OWL Computing and Google.
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