Principal QA Engineer, Hayden AI

$190.4-224k

We also offer equity and a company-wide bonus plan

AWS

GCP

Python

C++

Expert level

San Francisco Bay Area

AI-powered smart traffic enforcement platform

Posted today

AI-powered smart traffic enforcement platform

101-200 employees

B2BTravelArtificial IntelligenceTransportManufacturingBig dataDeep TechComputer VisionMachine LearningSaaSMobile

Posted today

$190.4-224k

We also offer equity and a company-wide bonus plan

AWS

GCP

Python

C++

Expert level

San Francisco Bay Area

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

B.S. in an engineering discipline or equivalent
10+ years of experience in software engineering, validation, or system testing roles
Strong background in building test or validation frameworks for complex, multi-component systems
Proficiency in Python or similar scripting languages; familiarity with C++ or embedded environments a plus
Experience validating AI/ML systems, including dataset curation, ground truth comparison, and edge case detection
Understanding of cloud infrastructure (e.g., AWS, GCP) and data pipelines
Experience working with hardware-in-the-loop or field-deployed systems is a strong plus
Comfortable working independently and owning cross-functional efforts from design through execution

What the job involves

We’re looking for a hands-on Principal Quality & Validation Engineer to design and build the validation infrastructure for our real-world vehicle behavior detection system
This role is critical to ensuring our end-to-end system—spanning custom cameras, edge AI hardware, cloud pipelines, and user-facing tools—performs accurately and reliably at scale
You’ll own the architecture and implementation of systems that validate software, hardware, and AI model performance across diverse environments and edge cases
You’ll work across embedded software, machine learning, data pipelines, cloud infrastructure, and web platforms
The ideal candidate has deep experience building validation frameworks for complex systems, involving ML/CV systems
You’re comfortable both designing systems and diving into implementation
You care about product quality, take ownership, and thrive in fast-moving environments
Design and implement a scalable validation infrastructure for system-level testing across hardware, AI, and software components
Develop tools and frameworks to evaluate accuracy, reliability, and edge case behavior in production-like environments
Collaborate with engineering, product, and operations teams to define test strategies aligned with product use cases
Analyze system performance and identify failure modes across the full pipeline: from sensor input to user output
Automate validation workflows to accelerate development cycles and reduce regressions
Serve as a technical resource for quality across the engineering organization

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: $52.4m

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.

Salary benchmarks

We don't have enough data yet to provide salary benchmarks for this role.

Submit your salary to help other candidates with crowdsourced salary estimates.

Share this job

View 12 more jobs at Hayden AI