Voxel
Senior Software Engineer, ML Infrastructure
San Francisco, CA · Senior
Sponsorship not specifiedDetected 99 days ago
AWSCI/CDDevOpsMachine LearningPyTorchComputer VisionLogisticsCommunication
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.
- Now customers are pulling us into operations: equipment utilization, workflow compliance, process efficiency.
Responsibilities
- 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.
- Understand the infra needs of applied ML/CV engineers and design scalable solutions that support model development.
- Hands-on experience building ML training pipelines in PyTorch.
- Track record of owning infrastructure end-to-end: scoping, building, shipping, and improving systems that internal teams depend on.
- 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.
Requirements
- 4+ years of experience building and shipping large scale software solutions.
- 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.
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)
Skills
- Strong communication skills.
Compensation
- Equity through Voxel's Equity Incentive Plan
- Total compensation includes base salary, annual bonus, and equity
- Daily meals in-office, team events, annual company onsite
- Our technology addresses the key cost drivers for workers' compensation, general liability, and property damage, which cost US employers over $500 billion annually.
Benefits
- 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.
- We're hiring a strong software engineer to own the ML Infrastructure that powers how Voxel trains and ships vision models.
- Comprehensive health, dental, and vision insurance
Company info
- 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.
- 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.
- What We're Looking For
This listing is sourced directly from Voxel's careers page and normalized into a canonical job model.