---
title: 'Software Engineer, Perception at Voxel'
canonical: 'https://feeny.ai/job/software-engineer-perception-voxel-san-francisco-fmtpwpwcf717'
type: 'job'
last_seen: '2026-09-11'
---

# Software Engineer, Perception at Voxel

- **Company:** Voxel
- **Location:** San Francisco, CA
- **Compensation:** $130k–$180k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-06-10
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/voxel/9614f69a-b74b-486f-97b9-081f769cf804

## Job description

## Who We Are

Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers’ compensation, general liability, and property damage, which cost US employers over $500 billion annually.

## What You'll Do

We are seeking a highly motivated and bright engineer to join our team and devise elegant solutions to challenging problems. This role will focus on designing and implementing systems to support Voxel's ML development. As a part of the perception team, you should be comfortable working in a fast-paced environment and solving problems across the software stack. We require engineers to be versatile and possess the ability to move across projects and tackle new challenges.

## Responsibilities

- Develop and productionize state-of-the-art computer vision algorithms for object detection, tracking, pose estimation, activity recognition, and anomaly detection in complex indoor environments like warehouses and retail spaces.
- Implement and optimize computer vision techniques for high-throughput, low-latency applications on edge compute devices.
- Streamline ML data ingestion, retraining pipelines, and model redeployment workflows.
- Build and maintain reliable, scalable pipelines for continuous training and deployment of ML models in production environments.
- Partner with Sales, Customer Success, and Field Engineering to architect ML-driven solutions tailored to customer needs and deployment contexts.

## Qualifications

Must-Haves

- Bachelor's degree in Computer Science, Robotics or a related field.
- Software development experience with proficiency in Python, Go-Lang or C++.
- Ability to solve complex and open-ended problems
- Familiarity with version control systems like Git (e.g., branching, merging, pull requests).

Nice-to-Haves

- Master’s or PhD in Computer Science, Robotics, or a related field.
- Coursework or research in computer vision or machine learning.
- 1-3 years of experience in software development.
- Experience with Docker, Bazel build system and/or AWS cloud services like EKS, S3, ECS
- Experience designing large, highly available distributed systems with Kubernetes.
- Experience working with monocular cameras - pose estimation, tracking and state estimation, object detection, segmentation.

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.

## About Voxel

## Company Overview
- **One-liner**: Voxel provides an AI-powered site intelligence platform that uses existing camera infrastructure to proactively identify and reduce workplace safety and operational risks in industrial environments.
- **Entity Type**: Private (Series B, $44M–$47M raised in mid-2025)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2020
- **Founders**: Troy Carlson (Co-Founder) — other co-founders not publicly disclosed

## Core Business
- **Primary Industry**: Workplace safety technology, AI computer vision, industrial operations risk management
- **Target Customers**: B2B, Fortune 500 companies across manufacturing, warehousing, food & beverage, supply chain, logistics, and retail
- **Mission**: “Redefine safety and operations in the workplace using AI for the betterment of all.” [voxelai.com/about](https://www.voxelai.com/about)

## Products & Services
- **Voxel Site Intelligence Platform (end-to-end)**: A SaaS platform that ingests video from existing IP cameras, applies AI computer vision to detect safety risks (ergonomics, PPE, vehicles, environmental hazards), surfaces actionable insights, and enables workflow management (task assignments, coaching, reporting). [voxelai.com](https://www.voxelai.com/)
- **Executive Hub**: Executive-level dashboard providing enterprise-wide visibility into safety performance, risk trends, and team accountability. [voxelai.com/news](https://www.voxelai.com/news)
- **Risk Insights**: AI-powered daily safety snapshots delivered to stakeholders to drive immediate action. [voxelai.com/news](https://www.voxelai.com/news)
- **Actions Feature**: Converts detected risks into recommended actions with owner assignment, deadlines, and impact tracking. [voxelai.com/news](https://www.voxelai.com/news)

## Market Standing
- **Valuation**: Not publicly disclosed
- **Key Metric – Total Funding**: $77.0M raised to date across multiple rounds [linkedin.com](https://www.linkedin.com/company/voxelai):
  - Seed Round (Oct 2021): $3.0M led by MTech Capital
  - Series A (May 2022): $15.0M led by Eclipse
  - Venture Round (Aug 2023): $12.0M led by Rite-Hite
  - Series B (Jun–Jul 2025): conflicting reports of $44M [voxelai.com/news](https://www.voxelai.com/news) and $47M [linkedin.com](https://www.linkedin.com/company/voxelai); led by NewRoad Capital Partners
- **Key Metric – Annual Revenue**: Estimated $6.3M (LinkedIn data) [linkedin.com](https://www.linkedin.com/company/voxelai)
- **Notable Investors**: Eclipse, NewRoad Capital Partners, Rite-Hite, Ericsson Ventures, MTech Capital [voxelai.com/news](https://www.voxelai.com/news)
- **Notable Partners/Advisors**: Chris Sultemeier (former Walmart EVP, joined board); Novara (mutual referral partnership) [voxelai.com/news](https://www.voxelai.com/news)
- **Growth Signals**:
  - 147% year-over-year growth in 2025 [voxelai.com/news](https://www.voxelai.com/news)
  - Deployed across 250+ sites worldwide [voxelai.com/about](https://www.voxelai.com/about)
  - 65% average reduction in workers’ compensation claims [voxelai.com/about](https://www.voxelai.com/about)
  - International expansion to five continents (10+ countries) [voxelai.com/news](https://www.voxelai.com/news)
  - Team size grew 44% YoY to ~96 employees [linkedin.com](https://www.linkedin.com/company/voxelai)

## Competitive Advantages
- **Purpose-built AI**: Models trained on 5+ billion hours of real-world industrial workplace scenarios, achieving 95%+ detection accuracy [voxelai.com](https://www.voxelai.com/)
- **Rapid deployment**: Works with 95% of existing IP cameras; deploys to any site in 48 hours [voxelai.com](https://www.voxelai.com/)
- **Privacy-first design**: No facial recognition, face/body blurring, SOC 2 Type II certified, ISO 27001-certified data centers, end-to-end encryption [voxelai.com](https://www.voxelai.com/solutions-safety)
- **Platform stickiness**: End-to-end from detection to resolution, including workflow engine and executive reporting, creating a comprehensive safety intelligence layer.

## Strategic Focus
- **International expansion**: Scaling presence across Europe, Asia, and other regions with local deployments and partnerships [voxelai.com/news](https://www.voxelai.com/news)
- **Product innovation**: Continuously adding features (Risk Insights, Actions, Executive Hub) to deepen the platform’s value
- **Enterprise go-to-market**: Targeting Fortune 500 and large multi-site industrial customers
- **Hiring growth**: Expanding engineering, sales, and customer-facing teams; grew San Francisco HQ in 2026 [voxelai.com/news](https://www.voxelai.com/news)

## Why Work Here
- **Mission-driven culture**: Focus on protecting essential industrial workers from preventable injuries — a strong purpose that motivates the team [voxelai.com/about](https://www.voxelai.com/about)
- **Growth trajectory**: Rapidly scaling company (44% headcount growth, 147% revenue growth) offering career advancement opportunities
- **Technical environment**: Full-stack AI and computer vision engineering working on real-time, high-impact safety challenges
- **Global & remote-friendly**: Team members across the US, Canada, Bulgaria, Netherlands, and Pakistan; hybrid/remote policy not explicitly stated but geographically distributed [linkedin.com](https://www.linkedin.com/company/voxelai)
- **Employee ratings**: 4.0/5.0 on LinkedIn (based on 4 reviews), with highlights in Career (3.6) and Culture (3.3) [linkedin.com](https://www.linkedin.com/company/voxelai)
- **Open roles** (as of mid-2026): Tech Lead Manager – Vision & AI, Senior Software Engineer – ML Data, Founding Forward Deployed Engineer, Senior Software Engineer – ML Infrastructure, Staff Software Engineer – ML Infrastructure, Product Designer [linkedin.com](https://www.linkedin.com/company/voxelai)

## Sources
1. [voxelai.com – Homepage](https://www.voxelai.com/)
2. [voxelai.com – About page](https://www.voxelai.com/about)
3. [voxelai.com – Solutions Safety page](https://www.voxelai.com/solutions-safety)
4. [voxelai.com – Newsroom](https://www.voxelai.com/news)
5. [linkedin.com – Voxel company page](https://www.linkedin.com/company/voxelai)

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