TL;DR

Mapping Operations Agent: Diagnosing technical issues and designing test scenarios for autonomous vehicle perception systems with an accent on sensor fusion, root cause analysis, and SLA compliance. Focus on debugging internal tools, collaborating with engineers, and ensuring high-quality standards in AV systems.

Location: Must reside in the United States, fully remote

Salary: $16–$21 per hour

Company

%hirify_global% is a leading global professional services company specializing in digital transformation and technology consulting.

What you will do

Design and execute test scenarios for AV perception systems including radar, LiDAR, video, and sensor fusion
Collaborate with engineers to validate and improve test coverage and quality
Perform root cause analysis and debug internal tools
Handle sensitive escalations ensuring SLA compliance
Conduct deep-dive error analysis and generate actionable insights
Support ad-hoc technical investigation projects

Requirements

Must reside in the United States and be legally authorized to work without sponsorship
High school diploma with 0–2 years of experience in tech or similar environments
Strong verbal and written communication skills
Basic debugging skills and familiarity with Google products
Ability to work independently and collaboratively

Nice to have

Bachelor’s degree in relevant fields such as Commerce, Geography, Science, or Engineering
Experience in computer vision, environmental modeling, or sensor fusion
Knowledge of automotive systems and communication protocols
Driving experience and understanding of traffic laws
Experience with automotive simulation software

Culture & Benefits

Medical, dental, vision, and life insurance
Paid holidays and paid time off
401(k) plan with contributions
Long-term and short-term disability coverage
Paid parental leave and employee stock purchase plan
Inclusive, collaborative, and innovative work environment

Hiring process

Interviews conducted in person or via video conference
Presentation of valid government-issued ID during interviews