Voxel

Support and improve cloud infrastructure, automation, and system reliability in a fast-paced environment. | Requires 1-3 years of DevOps or backend experience, cloud infrastructure knowledge, and proficiency in programming languages like Python, with familiarity in containerization and infrastructure-as-code tools. | Who Are We Industrial labor is incredibly dangerous work - almost 3 million people in the US per year are injured in the workplace for entirely preventable and at times, fatal or debilitating causes. Protecting these essential people who power our world is what motivates Voxelitos, and we'd love for you to join us. At Voxel, we're passionate about revolutionizing workplace safety and operations with groundbreaking, full-stack AI and computer vision technology. Voxel’s site intelligence platform helps safety and operations leaders see the unseen risks, make strategic decisions, and prevent workplace incidents before they happen. Our customers include Fortune 500 companies across major grocers and retailers, manufacturers, food and beverage warehousers, supply chain and logistics service providers. Based in SF with team members sitting all over the globe, Voxel is backed by industry leading VC’s. Voxel is seeking a Site Reliability / DevOps Engineer to join our growing Engineering team. This is a hands‑on, early‑career role ideal for an engineer who is eager to learn, comfortable operating in ambiguity, and excited to work cross‑functionally across the company. You’ll help build, scale, and improve the infrastructure that powers our AI‑driven platform. While you’ll be supported by senior engineers, you’ll be expected to roll up your sleeves, ask questions, and take ownership of meaningful technical work from day one. This role emphasizes learning, execution, and collaboration with exposure to modern DevOps practices, distributed systems, and production systems operating at scale. What You'll Do Contribute to the development and improvement of Voxel’s cloud infrastructure using modern DevOps and SRE best practices. Help operate and support distributed systems with a focus on reliability, scalability, security, and performance. Write and maintain infrastructure‑as‑code, automation, and tooling to improve developer velocity and system stability. Partner closely with software, ML, perception, security, and customer‑facing teams to support cross‑functional initiatives. Participate in incident response, root cause analysis, and post‑incident improvements (with mentorship and support). Learn how to balance speed, reliability, and risk in a fast‑moving startup environment. Continuously improve documentation, onboarding materials, and internal tooling as the organization scales. Minimum Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience). 1–3 years of experience in a DevOps, SRE, infrastructure, or backend‑leaning software engineering role. Comfort writing production‑quality code in at least one general‑purpose language (e.g., Python, Go, Java, or similar). Experience with containerization and orchestration (Docker, Kubernetes, ECS, etc.). Familiarity with cloud infrastructure concepts and at least one major cloud provider (AWS preferred). Exposure to infrastructure‑as‑code tools (e.g., Terraform, CloudFormation) or strong interest in learning them. Strong communication skills and a collaborative mindset. Curiosity, a growth mindset, and comfort working in ambiguous, fast‑evolving environments. Nice‑to‑Haves Exposure to monitoring, alerting, and observability tools. Familiarity with CI/CD pipelines and developer tooling. Interest in or exposure to machine learning systems or data‑heavy platforms. Understanding of security, compliance, or privacy concepts (e.g., GDPR) is a plus but not required. 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.

Developing and deploying computer vision algorithms and ML pipelines for industrial safety applications. | Requires experience in computer vision, ML, Python, C++, and distributed systems, with 1-3 years of relevant experience, which you do not possess. | Who Are We Industrial labor is incredibly dangerous work—nearly 3 million people in the US are injured in the workplace each year due to entirely preventable and sometimes fatal or debilitating causes. Protecting these essential workers who power our world is what motivates Voxelitos, and we would love for you to join us. At Voxel, we are passionate about revolutionizing workplace safety and operations with groundbreaking, full-stack AI and computer vision technology. Voxel’s site intelligence platform helps safety and operations leaders identify unseen risks, make strategic decisions, and prevent workplace incidents before they occur. Our customers include Fortune 500 companies across major grocers and retailers, manufacturers, food and beverage warehouses, and supply chain and logistics service providers. Based in SF with team members located all over the globe, Voxel is backed by industry-leading VCs. 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.

Design and manage high-velocity delivery systems, eliminate organizational friction, and act as a force multiplier for engineering leadership. | Senior TPM experience in a fast-moving environment, strong technical and business judgment, excellent communication, and expertise in data-driven decision making. | Voxel is building the future of workplace safety and efficiency through applied AI, helping organizations save lives and billions in operating costs. As we quickly scale, we need a Staff+ TPM to raise our operating pace, sharpen our focus, and help us adapt to evolving priorities. This is a Chief of Staff role to the CTO, responsible for the entire Engineering Operating System. You will directly shape how engineering scales and delivers. What you’ll do Design and run a world-class, high-velocity delivery system across Engineering, working seamlessly with Product and Customer Success. Keep priorities clear and current. Fix cross-team issues fast with low drama. Identify and eliminate organizational friction, process breakdowns, and technical debt that impede delivery velocity across the organization. Act as the source of clarity for all priorities. Fix cross-team issues fast with low drama. Help shape roadmaps based on customer needs, impact, and constraints. Use data, dashboards, and automation to surface risks, measure delivery, and eliminate systemic pain. Help shape roadmaps and timing based on customer needs, impact, and constraints. Act as a force multiplier for engineering leadership, maintaining org-wide focus and hard prioritization. What success looks like Engineering delivers high-quality impact with a fast, predictable cadence. Priorities are clear; trade-offs are managed smoothly; delivery risks are handled early. The CTO and engineering leaders have leverage, clarity, and time to think strategically. What we’re looking for Senior TPM experience in a fast-moving, product-driven environment. Exceptional business and technical judgment to identify the highest-leverage activities, know when to intervene and unblock, and advise leadership on complex trade-offs. Exceptional written and verbal communication, especially in unclear situations. Expert use of data, dashboards, and automation to drive clarity and change. Ownership, low ego, strong bias for action, and sound judgment that elevates the team. Level and logistics Target level: L6–L7 (exceptional L5 considered) Location: San Francisco (in-person)