Senior Computer Vision Test Engineer at Metropolis

Seattle, Washington, United States

Metropolis Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, TechnologyIndustries

Requirements

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field
  • 5+ years of hands-on experience in software or system testing, with at least 2 years focused on computer vision (CV), perception, or machine learning systems in production
  • Proficiency in Python and C++ for test automation and strong experience with unit testing frameworks like GTest or PyTest
  • Experience designing and implementing end-to-end test strategies for distributed systems, including using version control like Git and CI/CD pipelines like Jenkins or GitHub Actions
  • Solid understanding of computer vision concepts such as detection, tracking, segmentation, and 2D/3D geometry
  • Demonstrated experience testing perception or computer vision systems in real-world or hardware-in-the-loop (HIL) environments
  • Familiarity with common ML frameworks like PyTorch and TensorFlow, and CV libraries like OpenCV
  • Strong debugging, profiling, and log analysis skills, especially in embedded or real-world deployment environments
  • Experience with containerization tools like Docker and simulation platforms such as CARLA or NVIDIA Drive Sim
  • Excellent communication skills with a strong ownership mindset and the ability to work independently

Responsibilities

  • Design and implement test plans, test cases, and test automation frameworks for computer vision and machine learning pipelines
  • Validate the end-to-end performance of CV applications such as object detection, classification, and tracking under diverse scenarios and edge cases
  • Analyze system-level behavior and KPIs (latency, accuracy, robustness) using metrics-driven methodologies
  • Develop tools for test data generation, synthetic validation, and visualization of perception outputs
  • Collaborate with software, ML, hardware, and QA teams to ensure end-to-end system validation and release readiness
  • Investigate, root-cause, and document bugs and issues across the perception stack
  • Drive continuous improvement in test coverage, test automation, and system reliability

Skills

Computer Vision
Object Detection
Classification
Tracking
Machine Learning
Test Automation
CI/CD
Embedded Systems
Cloud Infrastructure

Metropolis

Technology-driven facility management for parking

About Metropolis

Metropolis focuses on improving facility management, particularly in the parking sector, by using computer vision technology to facilitate checkout-free payments. This technology allows drivers to park and pay without the need for traditional payment methods, making the process more efficient. Metropolis serves a variety of clients, including real estate owners and valet services, and operates in over 360 cities across North America, processing more than $4 billion in payments each year. What sets Metropolis apart from its competitors is its integration of payment solutions with facility management services, which not only enhances the parking experience but also increases asset productivity for its clients. The company's goal is to streamline parking operations and create revenue opportunities for its clients through its advanced technology and services.

Santa Monica, CaliforniaHeadquarters
2017Year Founded
$1,240.7MTotal Funding
DEBTCompany Stage
Automotive & Transportation, Fintech, Real EstateIndustries
501-1,000Employees

Benefits

Health Insurance
401(k) Retirement Plan
Disability Insurance
Life Insurance
Stock Options
Performance Bonus

Risks

Increased competition from BMW-owned ParkMobile may impact market share.
The SP Plus acquisition may pose integration challenges and financial strain.
Rapid expansion could lead to operational inefficiencies and quality control issues.

Differentiation

Metropolis uses AI and computer vision for checkout-free parking payments.
The company integrates its platform into field operations for revenue generation.
Metropolis serves diverse clients, including real estate and valet services.

Upsides

Metropolis processes over $4 billion in payments annually across 360 cities.
The acquisition of SP Plus Corporation expands Metropolis's market reach.
AI-driven dynamic pricing models optimize revenue in real-time.

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