---
title: 'Senior Software Engineer, ML Infrastructure at Voxel'
canonical: 'https://feeny.ai/job/senior-software-engineer-ml-infrastructure-voxel-san-francisco-97feys5szawr'
type: 'job'
last_seen: '2026-09-04'
---

# Senior Software Engineer, ML Infrastructure at Voxel

- **Company:** Voxel
- **Location:** San Francisco, CA
- **Compensation:** $200k–$240k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-04-14
- **Last confirmed live:** 2026-09-04
- **Apply:** https://jobs.ashbyhq.com/voxel/7807a76c-d3b6-40f8-a999-c8433e6c0b9e

## 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. Our customers include Fortune 500 companies across grocery, retail, manufacturing, food and beverage, logistics, and pharmaceutical distribution. We’ve passed $10M ARR with strong expansion revenue. Based in SF, backed by industry-leading VCs.

## ABOUT THE ROLE

Voxel’s perception system is the technical core of everything we ship. Our models detect human activity, equipment interactions, environmental hazards, and operational state in real time across thousands of cameras in manufacturing, logistics, retail, and pharmaceutical environments. Safety was our wedge; it proved our platform works. Now customers are pulling us into operations: equipment utilization, workflow compliance, process efficiency. Every new use case runs through the perception team.

We're hiring a strong software engineer to own the ML Infrastructure that powers how Voxel trains and ships vision models. You’ll build systems that let our applied ML team train multiple models concurrently, manage experiments and ship optimized models to production. You'll set technical direction, write code, make architecture calls, and partner closely with applied CV, ML Data and Platform engineers.

## WHAT YOU'LL DO

- Build and maintain training infrastructure that lets the applied ML team train multiple models concurrently, manage experiments, and iterate quickly on new architectures.
- Own the train-to-deploy handoff - export trained models to optimized inference formats (TensorRT, ONNX), quantify accuracy and latency impact, and partner with Platform on production deployment.
- Establish ML experiment tracking and lifecycle management - pick the right tools (Weights & Biases, MLflow, ClearML, or similar) so researchers can run, compare, and reproduce experiments efficiently.
- Establish DevOps-for-ML best practices on AWS (IaC, CI/CD, observability, cost monitoring) so researchers can iterate quickly and safely.
- Understand the infra needs of applied ML/CV engineers and design scalable solutions that support model development.

## WHAT WE'RE LOOKING FOR

- 4+ years of experience building and shipping large scale software solutions.
- Hands-on experience building ML training pipelines in PyTorch.
- Hands-on experience with ML experiment tracking and lifecycle tools (Weights & Biases, MLflow, ClearML, or similar).
- Experience with AWS (S3, EC2, EKS, or similar) for ML workloads.
- Strong Python. Write performant code that scales well in production environments.
- Track record of owning infrastructure end-to-end: scoping, building, shipping, and improving systems that internal teams depend on.
- Bias toward shipping. You'd rather ship something good this week than something perfect next quarter.
- Strong communication skills.

## NICE TO HAVE

- Experience with modern ML orchestration tools (Ray, Sematic, Flyte, Metaflow, Prefect, or similar)
- Familiarity with GPU performance profiling and optimization (Nsight, PyTorch profiler, or similar)
- Background in computer vision model training

## COMPENSATION & BENEFITS

- Equity through Voxel’s Equity Incentive Plan
- Total compensation includes base salary, annual bonus, and equity
- Comprehensive health, dental, and vision insurance
- Competitive paid parental leave
- Unlimited PTO and flexible work arrangements
- Daily meals in-office, team events, annual company onsite

## 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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