Full-Time
Quality Assurance Engineer
Payments Squad
Updated on 9/12/2026
Qu
51-200 employees
Unified commerce platform for enterprise restaurants
No salary listed
Arlington County, Arlington, VA, USA
Hybrid
Hybrid role with mostly virtual work and collaboration involving on-site devices.
 QA & Testing (1) |
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- 3–5 years of quality assurance experience in web or enterprise platforms, focused on payments or integrations.
- Strong experience testing payment systems, including EMV terminal workflows and cloud-to-device communication.
- Hands-on experience with Postman for API validation and familiarity with Swagger/OpenAPI specifications.
- Experience testing web user interfaces across browsers, responsive layouts, and frontend/backend coordination.
- Familiarity with basic backend testing using C# with xUnit and Moq, or the ability to read and debug service code.
- Understanding of EMV L3 certification processes and best practices.
- Comfort working in hybrid environments involving cloud services and on-site devices.
- Basic knowledge of MongoDB, DynamoDB, or similar databases.
- Familiarity with CI/CD pipelines and Agile/Scrum development processes.
- Strong documentation, collaboration, and bug-reporting skills.
- Design and execute manual and automated test cases for payment APIs, user-interface flows, and EMV hardware interactions.
- Perform functional, regression, and device-level testing of card-present and card-not-present payment workflows.
- Validate RESTful APIs using Postman, including authentication flows, error handling, and integration behaviors.
- Participate in L3 certification process testing with payment partners and contribute to certification documentation.
- Collaborate with QA, Product, and Engineering to define test plans, acceptance criteria, and edge cases.
- Use browser developer tools to inspect request and response payloads and investigate logs and backend activity.
- Support test automation using Playwright, Appium, and backend verification tools.
- Assist with test-data setup and backend verification using MongoDB, DynamoDB, and AWS tools.
- Document defects in JIRA and contribute to test coverage during sprints and releases.
- Participate in Agile ceremonies, including sprint planning, refinement, and reviews.
- EMV payment terminal certification experience.
- Automation experience with Playwright, Appium, or similar tools.
- Experience with AWS-based environments, test containers, or device farms.
- Previous quality assurance experience in point-of-sale, payment gateway, or fintech domains.
- Familiarity with terminal simulators, payment software development kits, or mock acquirer environments.
- Experience testing offline/online fallback flows or device network behavior.
A unified commerce platform for enterprise restaurant chains that merges digital and in-store orders, loyalty, and kitchen operations into one system. It uses a single menu management system across all channels, consolidates on-premise and off-premise orders, and normalizes data for reporting and analytics. It differentiates itself by serving large multi-channel restaurants with a single admin backend and bi-directional API integrations to third-party delivery providers. Its goal is to help enterprise restaurants run multi-channel guest experiences efficiently, streamline order flow and food production, and improve decision-making with centralized data.
Company Size
51-200
Company Stage
Series B
Total Funding
$12.9M
Headquarters
Bethesda, Maryland
Founded
2012
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Simplify's Take
What believers are saying
- Shake Shack, Roy Rogers, Bahama Buck’s, and OAKBERRY chose Qu in 2026.
- Qu Pay went live with Roy Rogers on July 22, 2026, accelerating monetization.
- Forty-eight percent of brands plan higher tech spend in 2026; AI investment stays hot.
What critics are saying
- Toast, Oracle MICROS, and NCR Voyix can bundle POS, payments, and loyalty faster.
- AI features without measurable ROI will stall; Qu’s own report says only 5% see value.
- If unified commerce integrations fail at Shake Shack-scale deployments, enterprise churn destroys Qu.
What makes Qu unique
- Qu’s Qube edge computes in-store, preserving uptime during cloud or internet outages.
- Qu Pay unifies payments, guest identity, order intelligence, and capital access.
- Paul Rubin’s August 2026 hire adds Brink POS and PAR restaurant-platform credibility.
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Benefits
Remote Work Options
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 1%2 year growth
↑ 3%Qu names Paul Rubin Chief Product & Technology Officer. Aug 5 2026 Restaurant technology is entering one of its most significant periods of transformation, as advances in artificial intelligence and edge technologies reshape how restaurants operate and serve guests. To help enterprise QSR and fast-casual brands navigate these technology shifts, Qu has announced the appointment of restaurant technology pioneer Paul Rubin as Chief Product & Technology Officer. Rubin brings more than 30 years of experience building and scaling restaurant technology platforms, including founding Brink POS, one of the industry's first cloud-based point-of-sale systems, and helping guide product strategy at PAR Technology. At Qu, he will lead the company's product and engineering roadmap, helping accelerate innovation across its platform while advancing Qu's vision for connected, AI-enabled restaurant operations. "Restaurants don't need more technology; they need technology that makes running their business simpler," said Amir Hudda, CEO of Qu. "Paul has spent his career building products that solve real operational challenges, and he shares our belief that innovation should reduce complexity, not create it. His experience, product vision, and customer-first approach will be instrumental as we continue developing technology that helps restaurants move faster and operate more intelligently." Throughout his career, Rubin has worked with some of the world's leading brands, such as Starbucks Coffee Company, Jack in the Box, Inc., and Kinko's, helping them modernize operations in complex retail environments. "After more than three decades in restaurant technology, I'm thrilled to begin this next chapter at Qu," said Rubin. "What drew me to Qu is its ability to move quickly, stay close to customers, and consistently turn innovative ideas into practical solutions. Advances in AI, cloud computing, and edge technologies are creating new ways to solve restaurant challenges at scale. I believe that the best solutions are still ahead of us and together, we have an opportunity to help define the next generation of restaurant technology." Rubin joins Qu during a period of continued momentum as the company expands its newly launched Intelligent Commerce Platform to help enterprise restaurant brands simplify operations, connect critical technologies, and reduce the cost and complexity of deploying AI. Earlier this year, brands such as Shake Shack, Roy Rogers, and Bahama Buck's, chose Qu's unified platform to modernize point-of-sale, digital ordering, kitchen operations, and payment solutions.
Qu has appointed Paul Rubin as Chief Product & Technology Officer. Rubin brings over 30 years of restaurant technology experience, having founded Brink POS, one of the industry's first cloud-based point-of-sale systems, and served in product strategy roles at PAR Technology. At Qu, Rubin will lead product and engineering, advancing the company's vision for AI-enabled restaurant operations. He has previously worked with brands including Starbucks, Jack in the Box, and Kinko's. The appointment comes as Qu expands its Intelligent Commerce Platform. Earlier this year, the company added clients including Shake Shack, Roy Rogers, and Bahama Buck's, offering unified solutions for point-of-sale, digital ordering, kitchen operations, and payments.
Qu, an intelligent commerce platform for QSR and fast-casual restaurants, has launched Qu Pay, an embedded end-to-end payments solution. The platform combines payment processing, guest identity, order intelligence, and capital access into a single unified system. Qu Pay operates across point-of-sale, kiosks, drive-thru, web, and mobile channels. It is already live with several brands, including Roy Rogers. The solution addresses a key industry challenge where legacy processors leave up to 65% of transactions without usable guest identity data. The platform offers operators direct access to capital and cash flow tools based on transaction data, with no separate bank relationship required. Qu Pay also reduces onboarding timelines by up to 75%, allowing merchants to go live in days rather than weeks.
Qu introduces Intelligent Commerce Platform to help restaurants deploy AI without compromising margins. E-mail Address StreetInsider.com Top Tickers, 4/24/2026 April 17, 2026 8:00 AM EDT Industry-first edge-based approach moves intelligence into the store and core operations, enabling real-time decision-making while reducing cost and complexity ARLINGTON, Va.-(BUSINESS WIRE)- Qu, the pioneer of the restaurant industry's first unified commerce solution, today announced a new stage in its evolution: the Intelligent Commerce Platform (ICP). Unlike other AI offerings that simply add a layer on top of disconnected systems, ICP embeds native intelligence directly in the store, at the edge, and across every order within its unified commerce infrastructure. This approach enables operators to run smarter in real time and scale AI without introducing unsustainable costs. The company will unveil the platform at the 2026 Restaurant Leadership Conference (RLC), April 19-22, in Phoenix. Qu's Real-time Kitchen Intelligence Score This development comes at a critical moment for restaurant operators as they grapple with rising costs, declining traffic, and margins hovering near all-time lows. At the same time, AI adoption is accelerating but delivering limited results. According to Qu's 2026 Restaurant Technology Benchmark Report, 73% of operators are investing in AI, yet only 5% report measurable value, while 55% cite operational execution as their biggest challenge. Qu's innovative strategy addresses this gap by introducing a new AI operating model for restaurants, one that fundamentally rethinks how intelligence is deployed while avoiding the high expense of cloud-based AI. Core intelligent capabilities at launch include real-time Kitchen Intelligence Scores and AI-driven operational insights delivered through Qu's Notify mobile app; production forecasting and dynamic demand planning; AI-powered ordering and computer vision; energy and equipment intelligence; and enterprise AI agents for promotions and discounts across locations. "Restaurants don't need more AI - they need AI that actually works within the realities of their business," said Amir Hudda, CEO of Qu. "If you rely solely on cloud-based models, costs scale quickly and unpredictably. Our Intelligent Commerce Platform is built to allow AI to run where it is the most cost-effective. This approach enables operators to increase bottom-line and top-line performance in this challenging economic environment." Early adopters of Qu's intelligent commerce capabilities are already seeing measurable outcomes for guest experience and operations, including: * 25% shorter guest wait times * 29% faster drive-thru speeds * 2.5-3% decrease in food and labor costs * 30-50% faster issue resolution * 20-40% less time reviewing reports * 85-90% less time spent on menu management "AI is only valuable if it works for the economics of a restaurant. With margins already under pressure, we can't afford solutions that drive up costs behind the scenes. Qu's approach - especially leveraging edge AI instead of relying solely on the cloud - gives us a smarter, more affordable way to modernize operations while staying focused on profitability," said Dawn Gillis, CTO at Golden Corral. The Intelligent Commerce Platform builds on Qu's existing Unified Commerce foundation and is available to current customers as part of the platform's ongoing evolution, with the following capabilities: * Real-time Kitchen Intelligence Score with AI-driven operational insights and actionable recommendations surfaced via Qu's mobile reporting app, Notify * Production forecasting and dynamic kitchen load balancing to improve makeline speeds and throughput * AI-powered ordering and computer vision to increase order accuracy and detect bottlenecks * Energy & equipment intelligence to monitor equipment health, reduce energy costs, and prevent failures early * Enterprise AI agents to optimize decisions like promotions and discounts Experience the Intelligent Commerce Platform in action at Restaurant Leadership Conference at booth 337. Qu will partner with Bites and ConverseNow to enable direct AI and voice ordering, with every order flowing into the POS - preserving guest data, margin, and control. Contact [email protected] to schedule a meeting at the show. Qu is the unified commerce platform helping quick-service and fast-casual restaurants boost efficiency and grow revenue. Purpose-built from the ground up with smart cloud technology, Qu puts real-time intelligence where it's needed most - right in the restaurant - through its proprietary Business Edge, Qube. The result: streamlined operations, stronger margins, and memorable guest experiences. On a mission to propel restaurants beyond today's limitations, Qu is a long-term technology partner trusted to deliver solutions that are as reliable as they are revolutionary, and intuitive as they are impactful. Based in Arlington, Virginia, Qu is backed by leading restaurant entrepreneurs and investors, including Cota Capital, Enlightened Hospitality Investments, Bobby Cox Companies, and NRD Capital.
Qu has launched its Intelligent Commerce Platform, embedding AI directly into restaurant operations to help operators deploy artificial intelligence without inflating costs. Unlike cloud-based AI solutions, the platform runs intelligence at the edge, within stores and across unified commerce infrastructure. The Arlington-based company's platform addresses a critical gap: whilst 73% of restaurant operators invest in AI, only 5% report measurable value, according to Qu's 2026 benchmark report. Early adopters have achieved 25% shorter wait times, 29% faster drive-thru speeds and 2.5-3% reductions in food and labour costs. Core capabilities include real-time kitchen intelligence scores, production forecasting, AI-powered ordering with computer vision, and equipment monitoring. The platform is available to existing customers and will debut at the Restaurant Leadership Conference on 19-22 April in Phoenix.