# Mashgin Expands Stadium and Retail Deployments as New Form Factors Scale

**Author:** Zero G Talent
**Published:** 2026-11-15
**Category:** engineering
**Tags:** yc-hiring, computer vision, retail technology, deep learning, software engineering, product management

[Read on Zero G Talent](https://zerogtalent.com/blog/mashgin-expands-stadium-and-retail-deployments-as-new-form-factors-scale)

---

[Mashgin](https://zerogtalent.com/ai-companies/mashgin) has pushed its computer vision checkout kiosks into 65% of professional sports stadiums across the United States while deploying units across thousands of convenience stores, airports, and universities. The company's newer hardware offerings—the Power Counter and Mini Power Counter—have sold out of stock twice since launching, driving larger single-venue rollouts such as a 62-unit installation at Northwestern University's Ryan Field and 52 units at Highmark Stadium, as reported by [Sports Business Journal](https://www.sportsbusinessjournal.com/Articles/2026/10/28/mashgin-gets-immediate-validation-for-new-self-checkout-products/).

Founded in 2014 and based in Palo Alto, California, Mashgin produces countertop kiosks that use 3D computer vision and deep learning to identify and ring up multiple items simultaneously without barcode scanning. The company was valued at $1.5 billion following a $62.5 million Series B financing in May 2022 and operates profitably, having processed more than 1 billion transactions and over 40 million monthly purchases.

## 3D Vision on the Countertop

Traditional retail checkout systems rely on barcodes or overhead camera rigs. Mashgin chose a different architecture: an integrated countertop unit that reconstructs the entire scene in 3D in real time using multiple inward-facing cameras. The software stack uses convolutional neural nets, C++, Python, and Node.js to segment, classify, and count items placed on the tray.

Because the cameras look inward at items rather than outward into a store or at customers' faces, the system avoids collecting personal identifiable information. CEO [Abhinai Srivastava](https://zerogtalent.com/people/abhinai-srivastava) explained in a panel on [Trust in the Age of AI](https://www.youtube.com/watch?v=ZFuR9m2AnLI) that Mashgin deliberately rejected facial recognition and room-scale tracking to keep data collection minimal and focused strictly on the scanned merchandise.

The hardware line has evolved from an initial 66-pound unit requiring 1,800 square inches of counter space to the 24-pound Power Counter, which cuts the footprint by 700 square inches and takes under 10 minutes to install. For venues, the smaller form factor fits tight grab-and-go layouts and improves visibility across counters, allowing single attendants to oversee multiple stations.

## Founded by IIT Delhi Engineers

CTO [Mukul Dhankhar](https://zerogtalent.com/people/mukul-dhankhar) and CEO [Abhinai Srivastava](https://zerogtalent.com/people/abhinai-srivastava) lived in the same dormitory while studying computer science and mathematics at the Indian Institute of Technology Delhi. Dhankhar later worked in computer vision research at Bell Labs and robotics research at Toyota Motor's European R&D facility, where long cafeteria lines inspired him to build early prototypes in a Silicon Valley hacker house.

Srivastava joined him in 2013 after working as a researcher at Microsoft and a data scientist at Facebook. After joining Y Combinator's W15 batch, the founders spent several years refining the optical and algorithmic stack to handle transparent containers, reflective surfaces, and varied lighting before reaching profitability following widespread adoption by convenience store chains during 2020.

## Growth Across Sports Venues and Convenience Retail

Retailers and stadium operators adopt Mashgin primarily to reduce line friction and raise transaction throughput. At Darrell K Royal Texas Memorial Stadium, Texas Athletics expanded its installation to 111 kiosks after recording 30% to 125% year-over-year revenue increases at converted concessions and reducing median transaction times from 35 seconds to 10 seconds, according to [Sports Business Journal](https://www.sportsbusinessjournal.com/Articles/2026/07/23/the-texas-longhorns-lean-even-further-into-mashgin-and-self-checkout/). In Los Angeles, LAFC integrated Mashgin kiosks at BMO Stadium with facial authentication from Wicket and mobile ID verification from Credence ID, as reported by [Retail Technology Innovation Hub](https://retailtechinnovationhub.com/home/2026/7/28/los-angeles-football-club-taps-mashgin-ai-and-computer-vision-powered-checkout-system).

In convenience retail, Alimentation Couche-Tard committed to rolling out roughly 10,000 units across 7,000 Circle K and Couche-Tard stores under the "Smart Checkout" banner, as detailed by [Retail Insider](https://retail-insider.com/retail-insider/2022/06/touchless-smart-checkout-technology-coming-to-thousands-of-act-convenience-stores-with-video/). To address cash-dependent shoppers, regional operators like Hop Shops and Atlantis Fresh Market have integrated Mashgin kiosks with cash automation equipment from Glory and Crane Payment Innovations, enabling customers to buy food, pay with cash, and authorize fuel pumps directly from the terminal, according to [C-Store Dive](https://www.cstoredive.com/news/hop-shops-adds-mashgin-self-checkout-machines/828638/).

## Engineering and Product Hiring in Palo Alto

Supporting deployments across thousands of retail and stadium sites requires scaling both the physical device interfaces and the cloud services powering them. Engineering candidates looking at kiosk hardware integration can look at the [Senior Software Engineer, Full-Stack](https://zerogtalent.com/ai-jobs/mashgin/senior-software-engineer-full-stack-49134) role, which takes end-to-end ownership of the infrastructure powering the 3D computer vision kiosks, including software that interfaces directly with cameras and visual components.

Backend scalability and core services are handled by roles like the [Senior Software Engineer, Backend](https://zerogtalent.com/ai-jobs/mashgin/senior-software-engineer-backend-67554), which offers a salary between $225,000 and $350,000 to write code connecting hardware, visual components, and distributed kiosk fleets. On the perception side, the [Software Engineer, Computer Vision and Deep Learning](https://zerogtalent.com/ai-jobs/mashgin/software-engineer-computer-vision-and-deep-learning-49135) trains deep neural networks, handles large-scale visual data collection, and develops algorithms that recognize thousands of retail items under variable real-world conditions.

To align engineering with rollout schedules across airports, stadiums, and c-stores, the company is also hiring a [Senior Technical Product Manager](https://zerogtalent.com/ai-jobs/mashgin/senior-technical-product-manager-64562) with a salary ranging from $180,000 to $230,000. This role manages product life cycles across integrated software, hardware, and services tailored to different commercial customer segments. All open positions are based on-site at Mashgin's headquarters in Palo Alto, California.

## Open Roles at Mashgin

| Role | Location | Work Mode | Salary |
| --- | --- | --- | --- |
| [Senior Software Engineer, Full-Stack](https://zerogtalent.com/ai-jobs/mashgin/senior-software-engineer-full-stack-49134) | Palo Alto, CA | Onsite | Not listed |
| [Senior Software Engineer, Backend](https://zerogtalent.com/ai-jobs/mashgin/senior-software-engineer-backend-67554) | Palo Alto, CA | Onsite | $225,000 – $350,000 |
| [Software Engineer, Computer Vision and Deep Learning](https://zerogtalent.com/ai-jobs/mashgin/software-engineer-computer-vision-and-deep-learning-49135) | Palo Alto, CA | Onsite | Not listed |
| [Senior Technical Product Manager](https://zerogtalent.com/ai-jobs/mashgin/senior-technical-product-manager-64562) | Palo Alto, CA, US | Onsite | $180,000 – $230,000 |

[See all open roles at Mashgin](https://zerogtalent.com/ai-companies/mashgin)

---
*Source: [Zero G Talent](https://zerogtalent.com), the job board for space, defense, AI, robotics and frontier-tech companies.*