Software Engineer, Voxel
Applications
$130-180k
+ Equity
Computer vision for security cameras
Open for applications
Computer vision for security cameras
101-200 employees
Open for applications
$130-180k
+ Equity
101-200 employees
Company mission
To pioneer new standards for enterprise EHS and operations teams through innovative technology.
Role
Who you are
- This is an ideal role for an engineer with 0-4 years of professional experience who wants to grow quickly by pairing with senior engineers, owning features, and working across the application lifecycle
- Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience)
- 0-4 years of Software engineering experience
- Strong experience in at least one of: Go, TypeScript, or Python
- Experience building or contributing to web applications and working on the application layer (APIs, authentication, access control, data flows)
- Strong debugging and problem-solving skills across system boundaries
- Familiarity with software engineering practices (Git, CI/CD, unit testing)
- Strong communication skills and comfort collaborating with multi-disciplinary teams
- Experience with Go + TypeScript + React together
Desirable
- Experience with React Native
- Prior work on complex dashboards, enterprise web applications, or analytics products
- Experience in companies ~50–500 people, where engineers own end-to-end product flows
What the job involves
- As an Applications Engineer at Voxel, you will build features for our core customer-facing products, including our web dashboard as well as the supporting backend services
- You’ll work closely with product, design, perception, and platform teams to translate complex AI insights into clear, actionable experiences for enterprise users
- This is a hands-on coding role with deep mentorship and significant impact. If you enjoy working across the application stack and solving customer-facing problems, you’ll thrive here
- Build and ship features across our web product, and build the supporting services for them as well. app
- Debate technical decisions openly as engineers at every level are expected to push back on senior people, including in code review and design discussions
- Contribute to high-impact roadmap initiatives including:
- Executive Hub: global multi-facility operational visibility for enterprise leaders
- Risk Insights proactive, subscription-based safety insights (e.g., PPE compliance, collision risk, hotspot detection)
- Own parts of the application layer: APIs, data modeling, authentication, authorization, and UI behaviors
- Collaborate with CV/ML & Platform Engineering
- Work with perception teams to understand AI outputs, define interface requirements, and ensure the right data is available to power new features
- Troubleshoot and triage issues that require application + CV/ML context (e.g., mislabeled signals, missing detections, unexpected data patterns)
- Support scaling to new customer sites by integrating CV outputs into the application layer and validating customer-facing behavior
- Partner with Product, Design, Sales Engineering, and Customer Success to shape solutions for complex enterprise workflows
- Surface edge cases, system failures, and user-impacting issues, and collaborate with engineering teams to drive resolution
- Participate in cross-functional discussions on how to best present safety insights, model outputs, time-series data, and corrective actions
- What Success looks like at Voxel:
- Our stack spans Go, TypeScript, React, Python, AI systems, and large-scale data workflows. We don't expect candidates to have deep expertise in every area
- We value strong engineering fundamentals, learning velocity, and thoughtful problem solving over checking every technology box
- The most successful engineers at Voxel are curious, humble, coachable, and eager to grow alongside the team as we continue to scale
Our take
Industry warehouses are vital to the world's economy, but workplace injuries remain a real and present danger. 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 places like Michael's, Dollar Tree and Clorox seeing accident rates drop by up to 80%.
Since its launch in 2020, Voxel has raised substantial funding which has been invested in expanding its reach to new industries like ports and airports. It continues to grow its team and offerings to this day, making more workplaces safer with AI.
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 & VP (Engineering, AI))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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