Senior Computer Vision Test Engineer at Metropolis

Seattle, Washington, United States

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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

Key technologies and capabilities for this role

Computer VisionObject DetectionClassificationTrackingMachine LearningTest AutomationCI/CDEmbedded SystemsCloud Infrastructure

Questions & Answers

Common questions about this position

What experience level is required for this Senior Computer Vision Test Engineer role?

Candidates need 5+ years of hands-on experience in software or system testing, with at least 2 years focused on computer vision, perception, or machine learning systems in production.

What programming languages and tools are required for this position?

Proficiency in Python and C++ for test automation is required, along with strong experience with unit testing frameworks like GTest or PyTest.

What education is needed for the Senior Computer Vision Test Engineer role?

A Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field is required.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

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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