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Voxel AI

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About

Voxel's site intelligence platform empowers safety and operations leaders to make strategic decisions. It offers real-time site visibility into vehicle safety, PPE, ergonomics, and area controls. The platform provides custom dashboards to spot key safety and operational trends. With multimodal, collaborative management tools, Voxel helps identify and manage risks, driving safety changes every day. It aims to accelerate business with a sustainable safety culture that prioritizes people and optimizes operations.

Platform
Web
Keywords
aiworkplace safetyoperationsehssite intelligence platform
Task
safety monitoring

Features

security

insights

intelligence

visibility

multimodal, collaborative management tools

custom, on-demand dashboards

real-time site visibility

action

FAQs

What technology does Voxel AI use for its solutions?

Voxel’s AI-powered platform ensures no potential hazard goes unnoticed, helping you maintain a safe, compliant environment.

How does Voxel AI ensure data security and privacy?

Voxel’s real-time dashboard reports where, when, and how often safety risks occur, so you can strategically mitigate risks and incidents.

How does Voxel AI contribute to AI Workplace Safety?

Collaborative management tools empower your safety team to act quickly to prevent accidents from occurring.

Can Voxel AI help employers improve workplace safety and compliance?

Voxel empowers safety leaders to make informed, strategic decisions with its video-based AI site visibility platform.

In what ways does Voxel AI enhance business success?

Our technology integrates seamlessly into your existing operations, helping safety leaders make proactive decisions that prevent accidents and improve safety protocols.

Job Opportunities

Voxel AI favicon
Voxel AI

Staff Software Engineer - ML Infrastructure

Voxel’s site intelligence platform empowers safety and operations leaders to make strategic decisions with its video-based AI site visibility platform.

engineeringhybridBay Area, CA
$200,000 a year - $250,000 a year
full-time

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.

Education Requirements:

  • Bachelor's degree in Computer Science or a related field.

Experience Requirements:

  • Minimum 5+ years of experience in software engineering, with a focus on infrastructure design.

  • Proven experience in designing complex systems and strong software engineering skills.

  • Strong understanding and experience with distributed systems like Apache Spark, Ray etc. and infrastructure design.

  • Proficiency in containerization technologies like Docker and orchestration platforms like Kubernetes.

  • Demonstrated expertise in DevOps practices, with a focus on ML.

Responsibilities:

  • Build and maintain cloud infra and distributed systems for MLOps

  • Build out internal training framework to make research with large distributed models easy and fun

  • Design and develop systems to support Voxel's ML development, with a focus 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.

Show more details

Staff Software Engineer - Backend

Voxel’s site intelligence platform empowers safety and operations leaders to make strategic decisions with its video-based AI site visibility platform.

engineeringhybridBay Area, CA
$200,000 a year - $250,000 a year
full-time

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.

Education Requirements:

  • Bachelor's degree in Computer Science or a related field

Experience Requirements:

  • 8+ years of experience developing data-intensive backend APIs and service at scale

  • 3+ years of experience leading cross-functional engineering projects

  • Proven track record of customer-centric technical leadership and delivering customer value

  • Solid engineering and coding skills (preferably Go, C++, Java, or another typed/compiled language)

  • Production experience with cloud platforms (AWS, GCP) and cloud native architecture

Responsibilities:

  • Collaborate with engineering and non-engineering teams across the company to better understand our users and how our technology can meet their evolving needs

  • Lead engineering projects from scoping to implementation to maintenance

  • Research, propose, and design backend services and APIs based on the needs of customers and internal systems

  • Implement backend services and APIs (Go, [Node.js](http://Node.js), Python, gRPC/ConnectRPC, AWS)

Show more details

Staff Software Engineer - DevOps

Voxel’s site intelligence platform empowers safety and operations leaders to make strategic decisions with its video-based AI site visibility platform.

engineeringhybridBay Area, CA
$140,000 a year - $210,000 a year
full-time

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.

Education Requirements:

  • Bachelor's Degree in Computer Science, computer Engineering, or equivalent experience.

Experience Requirements:

  • 5+ years of experience working in Cloud Infrastructure, DevOps.

  • Proficiency with the Kubernetes ecosystem

  • Experience with AWS services including IAM, S3, RDS, EKS.

  • Experience with IaC such as Terraform.

  • Experience building and scaling high availability distributed systems.

Responsibilities:

  • Build and maintain cloud infra and distributed systems for data processing, MLOps and other services.

  • Develop and implement DevOps practices to deploy applications in AWS EKS.

  • Build infrastructure configuration-as-code modules using Terraform.

  • Design and develop architectures for running AI on realtime video at scale.

  • Implement security best practices for the software engineering organization.

Show more details

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