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Staff Software Engineer

ML Infrastructure

Confirmed live in the last 24 hours



51-200 employees

AI-powered safety and operations platform

AI & Machine Learning
Data & Analytics
Industrial & Manufacturing

Compensation Overview

$200k - $250kAnnually

+ Equity Incentive Plan

Senior, Expert

California, USA

Backend Engineering
Software Engineering
Required Skills
Apache Spark
Development Operations (DevOps)
Computer Vision
  • Bachelor's degree in Computer Science or a related field
  • Minimum 5+ years of experience in software engineering, with a focus on infrastructure design
  • Experience designing large, highly available distributed systems with Kubernetes
  • Proven experience in designing complex systems and strong software engineering skills
  • Understanding and experience with distributed systems like Apache Spark, Ray, etc.
  • Proficiency in containerization technologies like Docker and orchestration platforms like Kubernetes
  • Expertise in DevOps practices with a focus on ML
  • Experience with ML tools that researchers love
  • Build and maintain cloud infra and distributed systems for MLOps
  • Build out internal training framework for research with large distributed models
  • Design and develop systems to support Voxel's ML development, focusing on computer vision applications
  • Provide technical guidance, mentorship, and project management support
  • Build distributed systems and pipelines for data management ensuring scalability, reliability, and performance
  • Apply DevOps practices to ML operations
  • Utilize technologies like Kubernetes and various CI/CD systems for infrastructure optimization
  • Design and implement ML infrastructure systems in a dynamic startup environment
  • Contribute to the impact of Voxel's AI-powered workplace safety solutions by delivering robust and efficient ML infrastructure

Voxel offers an AI-powered platform that enhances safety and operations by utilizing computer vision and AI to enable security cameras to automatically identify hazards and high-risk activities in real-time. The platform sends real-time notifications of safety violations and risky behaviors to on-site personnel and provides detailed reports with analysis of past incidents, leveraging technologies such as computer vision and AI.

Company Stage

Series A

Total Funding



San Francisco, California



Growth & Insights

6 month growth


1 year growth


2 year growth