Voxel

DevOps Engineer

• 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.

Software Engineer – SRE/DevOps

Sales

• Own and drive full-cycle enterprise sales (prospecting → demo → multi-threading → negotiating → closing)
• Build and manage a healthy pipeline of manufacturing, logistics, warehousing, utilities, or industrial prospects across the Midwest
• Lead consultative discovery to map customer workflows, safety pain points, and ROI drivers
• Partner closely with Customer Success, Solutions Engineering, and Execs to deliver a world-class evaluation experience
• Craft compelling business cases that demonstrate measurable improvements in safety & efficiency
• Navigate complex organizations with multiple influencers and decision-makers
• Forecast accurately and maintain CRM discipline with clear next steps and timelines
• Serve as an internal voice of the customer, helping refine messaging, GTM strategy, and product priorities

Sales Director, Enterprise – Central

Full-stack Engineer

• 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.

Software Engineer – SRE/DevOps

Sales Director, Enterprise – Central

Software Engineer – Perception