Staff Quality Engineer I
TrueMLSalary not specified
- Full Time
- Expert & Leadership (9+ years)
$150,000 – $220,000Compensation
Senior (5 to 8 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Software Engineering, Artificial Intelligence, AI & Machine LearningIndustries
Requirements
Candidates should possess a Bachelor’s degree in an engineering discipline or equivalent, along with 10+ years of experience in software engineering, validation, or system testing roles. They must have a strong background in building test or validation frameworks for complex, multi-component systems, proficiency in Python or similar scripting languages, and familiarity with C++ or embedded environments. Experience validating AI/ML systems, including dataset curation, ground truth comparison, and edge case detection, is required, as is 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.
Responsibilities
The Principal QA Engineer will design and implement a scalable validation infrastructure for system-level testing across hardware, AI, and software components, developing tools and frameworks to evaluate accuracy, reliability, and edge case behavior in production-like environments. They will 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, and automate validation workflows to accelerate development cycles and reduce regressions. Furthermore, they will serve as a technical resource for quality across the engineering organization.
Skills
Python
Test Frameworks
C++
Embedded Systems
AI/ML Validation
Dataset Curation
Ground Truth Comparison
Edge Case Detection
AWS
GCP
Data Pipelines
Hardware-in-the-Loop
System Testing
Automation
Hayden AI
Autonomous traffic management platform using AI
About Hayden AI
Hayden AI has created an autonomous traffic management platform that uses artificial intelligence to turn vehicles into mobile street sensors, collecting real-time data to improve urban mobility. This data helps transit agencies enforce dedicated bus lanes, enhancing rider safety and making public transportation more efficient. Unlike competitors, Hayden AI combines mobile sensors with citizen-driven data for a comprehensive view of traffic conditions. The company's goal is to make cities safer and more efficient through its patented technology.
Key Metrics
Oakland, CaliforniaHeadquarters
2019Year Founded
$187.9MTotal Funding
SERIES_CCompany Stage
Data & Analytics, Automotive & Transportation, AI & Machine LearningIndustries
51-200Employees