Software Engineer, Perception
About The Position
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. 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.
Requirements
- 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.
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.
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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
