Analyst, Factory System Diagnostics

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring:

Bachelor’s degree in Automotive Technology, Electrical Engineering, Computer Engineering or Computer Science or equivalent field. Master’s degree is a plus.

2 years professional experience with expertise in automotive development, manufacturing engineering, or production planning.

Experience in programming languages such as Python, C++, C#, Java or similar

Experience in AI and implementation to business use cases

Knowledge of vehicle engineering processes and understanding of manufacturing processes.

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $80,000.00 - $97,500.00

Internal leveling code: IC10

Notice to applicants:

Residing in

San Francisco

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

Support the integration of the electronic vehicle diagnostic ecosystem on a specific ECU level into manufacturing by utilizing the diagnostics.

Develop concepts for AI / process automation and intelligence use cases with our internal stakeholders and implement them together with the team.

Collaborate with relevant stakeholders (R&D, Assembly Shop Floor, Quality, etc.) to meet organizational objectives and production requirements.

Support triage during integration phase as well as issue resolution process.

Develop processes, specifications, and production code to implement the next generation of software-defined vehicles.