Senior Quality Assurance Engineer, Hayden AI

Device

$141.5-184k

We also offer equity and a company-wide bonus plan

Python

Senior and Expert level

San Francisco Bay Area

3 days a week in office

AI-powered smart traffic enforcement platform

Open for applications

AI-powered smart traffic enforcement platform

101-200 employees

B2BTravelArtificial IntelligenceTransportManufacturingBig dataDeep TechComputer VisionMachine LearningSaaSMobile

Open for applications

$141.5-184k

We also offer equity and a company-wide bonus plan

Python

Senior and Expert level

San Francisco Bay Area

3 days a week in office

101-200 employees

B2BTravelArtificial IntelligenceTransportManufacturingBig dataDeep TechComputer VisionMachine LearningSaaSMobile

Company mission

To harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.

Job

Company

Role

Who you are

Bachelor’s degree in Computer Science, Engineering, or equivalent experience
7+ years of experience in Quality Assurance, Test Engineering, or Software Engineering in Test
Experience testing devices, embedded systems, or IoT platforms
Strong proficiency in Python for building and maintaining automated test frameworks
Solid understanding of SDLC, CI/CD pipelines, and automation-first QA methodologies

What the job involves

As a Senior Quality Assurance Engineer at Hayden AI, you will drive quality through well-defined testing processes and disciplined release management for embedded software deployed in real-world transportation environments. You will be responsible for establishing and executing manual and automated test strategies, defining quality gates, managing regression cycles, and ensuring release readiness across embedded software versions
You will own the end-to-end quality process for embedded software releases, including test planning, risk assessment, defect triage, release sign-off, and post-release validation. Working closely with Software Engineers, Product Managers, and Operations teams, you will embed quality into the development lifecycle, improve testing workflows, and support reliable field deployments through structured validation and continuous process improvement
Support field deployments by validating device stability, performance, and environmental reliability before and after releases
Build and execute automated and manual test suites within CI/CD pipelines to enforce quality gates for embedded software releases
Own end-to-end quality for critical embedded software components and lead the planning, execution, and sign-off of software releases using a combination of structured manual testing and automation-driven test approaches
Drive the embedded software release process, including test strategy definition, schedule alignment, risk assessment, go/no-go decisions, and coordination across engineering, product, and operations teams
Define, execute, and continuously improve test strategies for embedded software, edge devices, and system-level integrations
Design, develop, and maintain Python-based automated test frameworks to support regression, smoke, and release validation testing

Our take

Cities around the world are dealing with clogged bus lanes, blocked stops, and traffic violations that slow down public transit and put people at risk. It's a huge problem that most cities face, but one that's often hard to monitor or enforce effectively.

Hayden AI is tackling this problem with its smart, bus-mounted cameras powered by AI. They automatically detect when vehicles block bus lanes or stops, helping cities gather real-time data and tacke action to imprvoe safety and traffic flow. Already in use in cities like New York, LA, and now Barcelona and Braga, it's a neat idea and one that's keeping buses moving and riders safe.

Its work is more than just ticketing, it's about making cities smarter, greener, and safer for everyone and its been making big moves. It just wrapped up its pilot in Portugal that revealed nearly 8,000 violations in just three months, and launched the largest automated enforcement project in Europe in Barcelona. With over $193M raised, the company is certainly growing fast and turning head in the govtech space.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 4 rounds)

Aug 2022

$4m

LATE VC

Sep 2020

$35m

SERIES B

Total funding: $52.8m

Company HQ

China Basin, San Francisco, CA

Leadership

Vaibhav Ghadiok

(Co-Founder & CTO)

Previously a Robotics Engineer at Nixie Labs, Head of Mapping at NAUTO, and Navigation & Perception Lead at Visible Sensors.

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