scoutmotors
Specialist, Software Update and Validation
At a Glance
- Location
- Blythewood, South Carolina, United States
- Experience
- 4+ years
- Compensation
- t. Initial Base Salary Range: $100,000.00 - $125,000.00 Internal Leveling Code: IC9 N
- Posted
- 2026-05-18T13:54:21-04:00
Key Requirements
Required Skills
Domain Knowledge
- Automotive
- Engineering
- Manufacturing
- Mining
Requirements
Here's what else you'll bring:
Knowledge of vehicle engineering processes and understanding of manufacturing processes, especially in terms of vehicle software and diagnostics.
Proficiency in advanced programming languages such as Python, C++, C#, Java or similar
Proficient in SQL database setup as well as data warehouse principles.
Knowledge of Machine Learning and AI methods, Competence in data management and data mining techniques.
Demonstrated ability in creative and strategic problem-solving, with experience troubleshooting vehicle systems.
Compensation & Benefits
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: $100,000.00 - $125,000.00
Internal Leveling Code: IC9
Notice to applicants:
To be considered for career opportunities at Scout Motors, applicants must be 18 years of age or older.
Residing in
Responsibilities
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 a new diagnostic system for electronic vehicle commissioning from concept to production.
Develop the data model for vehicle commissioning via the collection of information to process and create visualizations.
Create dashboards to ensure visibility and communication of the data
and improve the data obtained by monitoring and troubleshooting
Evaluate, recommend, and implement modern data tooling and infrastructure improvements to enhance our analytical capabilities and data platform.