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As of 1 November 2026, Zensors has 8 open roles (0 new in 30 days), its sales team is hiring most, and its postings name Core ML, CUDA and Helm as the tools the team works in.
As of 1 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- , , United States
- Employees
- 51-200 employees (linkedin)
- Sells to
- aviation and transit, retail, large commercial facilities
- Certifications on site
- Site languages
- EN
- Career system
- Ycombinator
Zensors in one screen
Read from zensors.com: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
Zensors is an AI software company that provides physical AI for mission-critical decisions, combining computer vision, spatial AI and AI agents to automate operations in large complex spaces. Its offerings include the foundation AI platform, Momenta AI, Hologram AI and Virtual Manager, deployed for aviation, retail and large commercial facilities. The company serves enterprise customers globally.
Named on the site: aviation and transit, retail, large commercial facilities, security managers, operations directors.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 594 scored.
What Zensors says it runs
Tools named in the company's own postings as the team's systems, with the sentence that says so. What the website and DNS show is listed separately.
Optimizing Core ML Pipelines: Identifying key bottlenecks in our current video analytics pipeline and performing in-depth analysis to ensure the best possible performance on current server and edge compute architectures.Building Efficient Operators: Working across the entire ML framework/compiler stack (e.g., PyTorch, CUDA, TensorRT, and NVIDIA DeepStream) to write custom optimized ML operator libraries.Your scope will include automating infrastructure provisioning (potentially bare-metal-to-Kubernetes bring-up), deploying microservices utilizing Helm, and integrating security scans and static code analysis tools into the workflow.
• Kubernetes & Orchestration: Create resilient automation pipelines, orchestrate complex Kubernetes-based environments, and ensure the seamless integration of diverse ML and software components.This role requires deep technical expertise not just in cloud-native tools, but also in the foundational Linux systems and networking required to process high-throughput video data reliably and securely across both cloud and edge environmeBuilding Efficient Operators: Working across the entire ML framework/compiler stack (e.g., PyTorch, CUDA, TensorRT, and NVIDIA DeepStream) to write custom optimized ML operator libraries.• Infrastructure as Code: Proficiency in IaC tools (e.g., Terraform, Ansible).• Cloud-Native & CI/CD: Deep expertise in Kubernetes (managing clusters, Helm charts, orchestration) and a strong background in CI/CD toolchains (e.g., Jenkins, GitLab CI, ArgoCD).• Strong programming skills in C/C++ and Python.• Cloud-Native & CI/CD: Deep expertise in Kubernetes (managing clusters, Helm charts, orchestration) and a strong background in CI/CD toolchains (e.g., Jenkins, GitLab CI, ArgoCD).• Data & Video Pipelines: Proven experience managing infrastructure for video streaming (e.g., RTSP, HLS, WebRTC) or similarly high-throughput, real-time data pipelines.• Cloud-Native & CI/CD: Deep expertise in Kubernetes (managing clusters, Helm charts, orchestration) and a strong background in CI/CD toolchains (e.g., Jenkins, GitLab CI, ArgoCD).• Specialized Environments: Experience working in NixOS environments, declarative package management, and virtualization environments is highly required.Building Efficient Operators: Working across the entire ML framework/compiler stack (e.g., PyTorch, CUDA, TensorRT, and NVIDIA DeepStream) to write custom optimized ML operator libraries.Vendors whose code loads on zensors.com or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
8 open roles, 0 opened in 90 days
Read hourly from the company's career system. Open roles and new roles in the last 30 days, by team. Companies hiring sales in United States →
| open · new 30 d | |
|---|---|
| Sales | 4 · 0 |
| Data & AI | 2 · 0 |
| Marketing & communications | 2 · 0 |
What is changing, read from the postings
Intents are events the employer states about itself, each with the sentence and the posting it came from.
No change signals read in the current postings.
Sales, marketing and IT leaders by function. Add Zensors to a monitor and get a webhook when a role opens, a tool appears or a signal is read.
Free plan: 1,000 records, no card. The first 20 are above; e-mails are verified at the mail server when you open them.
Companies like Zensors
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 594 scored.
From the company's own website
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Zensors (, United States, 51-200 employees) has 8 open roles, 0 new in 30 days, and names 14 tools in its postings. (Breaknorm, 1 November 2026, https://breaknorm.co/company/zensors.com)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- ProfileBuilt from zensors.com: summary, offerings, customers, certifications and contact points are extracted from its pages, with a confidence score per field.
- HiringRead hourly from the company's Ycombinator career site; reposts collapse into one record.
- Tech stackTools the employer's own text names as the team's systems, with the quote; website scripts counted separately.
- HeadcountLinkedIn where known, otherwise estimated from the site.
Zensors: questions
Does Zensors use Core ML?
Yes, by the company's own words: 1 posting name it, first seen 2025-12-19, in the data & ai team.
Is Zensors hiring?
8 open roles as of 1 November 2026, 0 opened in the last 30 days and 0 closed. The largest team hiring is sales.
Where does this profile come from?
From zensors.com itself: we crawled it on 2026-08-10, built the profile on 2026-08-16, and read its career site (Ycombinator) hourly since. Headcount is from LinkedIn.
Who should I write to at Zensors?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 0 public role addresses from the site are there too.
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