Software Engineer
Voxel Labs · San Francisco, CA
Join the perception team to build and productionize computer vision and ML systems that detect hazards and high-risk activities from existing security cameras. Work across the software stack on ML pipelines, edge deployment, and customer-specific solutions.
What you'll do
- Develop and productionize computer vision algorithms for detection, tracking, pose estimation and activity recognition
- Optimize computer vision for low-latency applications on edge devices
- Streamline ML data ingestion, retraining and model redeployment workflows
- Build scalable pipelines for continuous training and deployment of ML models
- Partner with Sales, Customer Success and Field Engineering on ML-driven solutions
Requirements
- Bachelor's degree in Computer Science, Robotics or a related field
- Software development experience with proficiency in Python, Go or C++
- Ability to solve complex and open-ended problems
- Familiarity with Git version control
Nice to have
- 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 and/or AWS services like EKS, S3, ECS
- Experience designing large, highly available distributed systems with Kubernetes
- Experience with monocular cameras: pose estimation, tracking, state estimation, object detection, segmentation
Benefits
- Health, dental and vision insurance
- Paid parental leave
- Equity Incentive Plan
- Generous paid time off and/or flexible work arrangements
- Daily meals in-office
- 401(k) retirement plan
- HSA options
- Pre-tax Commuter Card
Skills
Outlined skills are listed as required.
Full original 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.