Job description

Latitude AI ( lat.ai ) is building the future of Ford’s autonomy roadmap to make travel safer, less stressful, and more enjoyable for everyone. Bringing this vision to scale, our fully in-house developed hands-free ADAS platform will debut on the all-new Ford Fathom in 2027. When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to redefining the relationship between people and their vehicles for millions of customers. As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif. Meet the team: Latitude's Triage Operations team is a growing group of experts specializing in our vehicle technology and programs. We analyze large datasets from our comprehensive testing program, encompassing on-road testing, closed-course track testing, virtual simulations, and re-simulations of real-world driving logs. This analysis allows for us to identify, classify, and track vehicle performance issues and improvements. Triage Operations serves as a vital communication hub, connecting Operations, Systems Engineering, Virtual Test, and Autonomy teams to ensure a fully integrated engineering lifecycle. The insights generated directly improve our systems and machine learning algorithms, enabling us to continuously learn from challenging scenarios and enhance vehicle performance. Expected hours of work for second shift support: 12:30PM - 9:00PM PST What you’ll do: Evaluate vehicle test data utilizing a variety of internal tooling and logs, including analyzing detailed charts and signals within an internal software environment Understand the context of an issue by examining sensor data (lidar, radar, etc.), visualizations from autonomy toolings (e.g. planned path, lane boundaries, etc.) Troubleshoot hardware and software issues of test vehicles in real time, providing live feedback and actionable steps for in-vehicle operators Monitor and document the context (what is happening) and identify possible cause (why is it happening, which module is responsible) of a variety of issues Work in an operational but fast-paced environment emphasizing your attention to detail Work closely with team members and internal management to identify and escalate problems What you'll need to succeed: High School Diploma or GED equivalent with two years of employment experience required. Associate or Bachelor’s Degree preferred. Flexibility in working hours and shift support Ability to learn new tools and technologies quickly Ability to successfully learn and execute analytical based skills to assess the cause, impact, and severity of issues while following detailed documentation Strong attention to detail with repetitive tasks Excellent communication skills to work with other team members Willingness to quickly adapt to changes in both processes and tasks Interest and desire to work in the development of advanced driver-assist systems (ADAS) Nice to have: Experience working with ADAS automation testing products Experience working in a customer facing environment Strong Excel/Google Sheets experience Strong Slack and Jira experience Experience working in a software/IT, operational or STEM environment Experience using dashboarding software such as Looker or Superset Learn more about Latitude’s team, mission and career opportunities at lat.ai ! The expected hourly pay range for this contract position in California is $26.39 - $39.59/hour USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.

Requirements

Must-haves

Expected hours of work for second shift support: 12:30PM - 9:00PM PST
Evaluate vehicle test data utilizing a variety of internal tooling and logs, including analyzing detailed charts and signals within an internal software environment
Understand the context of an issue by examining sensor data (lidar, radar, etc.), visualizations from autonomy toolings (e.g. planned path, lane boundaries, etc.)
Troubleshoot hardware and software issues of test vehicles in real time, providing live feedback and actionable steps for in-vehicle operators
Monitor and document the context (what is happening) and identify possible cause (why is it happening, which module is responsible) of a variety of issues
Work in an operational but fast-paced environment emphasizing your attention to detail
Work closely with team members and internal management to identify and escalate problems
Flexibility in working hours and shift support
Ability to learn new tools and technologies quickly
Ability to successfully learn and execute analytical based skills to assess the cause, impact, and severity of issues while following detailed documentation
Strong attention to detail with repetitive tasks
Excellent communication skills to work with other team members
Willingness to quickly adapt to changes in both processes and tasks
Interest and desire to work in the development of advanced driver-assist systems (ADAS)

Nice-to-haves

High School Diploma or GED equivalent with two years of employment experience required. Associate or Bachelor’s Degree preferred.
Experience working with ADAS automation testing products
Experience working in a customer facing environment
Strong Excel/Google Sheets experience
Strong Slack and Jira experience
Experience working in a software/IT, operational or STEM environment
Experience using dashboarding software such as Looker or Superset
Learn more about Latitude’s team, mission and career opportunities at lat.ai !

Application prep

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aimachine learningjira

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