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Sr. Specialist - AI Automation & Testing

at Scout Motors

Scout MotorsCharlotte, North Carolina, United StatesPosted 2026-06-09
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Job description

Here at Scout Motors, we're carrying forward the heritage of one of the most iconic American vehicles in history. A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and trucks and will do so once again. But Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work. The Scout brand is all about respect. Respect for the past and the future by taking an iconic American brand that hasn’t been around for a while, electrifying it, digitizing it, and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. Respect for both work and play, with vehicles that are equally at home at a camp site, a job site, or on a Tuesday commute. And respect for our customers by developing two powertrains that meet their requirements — an all-electric powertrain as well as the Harvester™ range extender powertrain which includes a built-in gas-powered generator with an estimated 500 miles of combined range. At Scout Motors, we empower our talented, inclusive, and entrepreneurial teams to innovate. What makes a Scout employee? Someone who is a visionary and a leader, who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion. Join us at Scout Motors and be part of shaping the future of transportation. If you're ready to drive change and make history, apply now!What you’ll do The EE/SW Integration Manager at the OEM level owns and builds the infrastructure that enables rapid, reliable iteration of vehicle software and electronics. You’ll work close to the vehicle—developing automation, integration pipelines, and test systems that connect embedded software running on ECUs with cloud-based development workflows. This role goes beyond architecture compliance and focuses on feature behavior, timing performance, system robustness, drivability impact, and cross-domain interaction quality. This role bridges embedded systems, software integration, and development infrastructure to enable efficient, scalable, and reliable engineering workflows. Work directly with MSTs, software engineers, systems engineers, validation teams, and suppliers to ensure robust delivery.  Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following: End-to-End Toolchain architect responsible to develop and implement toolchains spanning: Code commit → build → ECU flashing → vehicle/HIL testing → data logging → analysis   Build ML models for test case prioritization, failure prediction, and intelligent test selection (e.g., using historical pass/fail, code churn, coverage)   Implement anomaly detection on logs, CAN traces, and system telemetry (e.g., Isolation Forest, LSTM, or statistical methods)   Develop NLP pipelines for automated log triage and defect classification  Integrate AI modules into pipelines using Jenkins / GitLab CI / GitHub Actions   Orchestrate workflows with Docker + Kubernetes for scalable test execution   Implement event-driven automation (e.g., build triggers, test triggers, auto triage)   Embed quality gates based on AI predictions (e.g., block/allow release based on risk scoring)  Automate ECU flashing (UDS, bootloaders) across benches and vehicles and OTA package generation and deployment workflows with integrating HIL rigs into automated pipelines.   Automate smoke validation pipelines post-integration with real-time analytics   Support pre-release (e.g., Pilot Hall / factory SW integration) with AI-based readiness scoring   Align AI automation with DVP, sprint cycles, and regression frameworks   Provide dashboards for release health, defect leakage, and test effectiveness  Inept to build custom automation frameworks as applicable to the platform to drive automation roll-out and adaptation  Build and maintain SIL/HIL framework, vehicle-level regression systems, automate test orchestration across multiple environments (bench, dyno, fleet vehicles).   Create pipelines for ingesting and analyzing vehicle telemetry and test data.   Develop tools for log parsing (CAN traces, diagnostic logs), real-time monitoring and alerting   Hands-on experience with vehicle communication protocols: CAN (DBC, UDS), LIN, Automotive Ethernet   Experience building CI/CD systems, familiarity with Linux-based development environments.   Location & Travel Expectations:  This role may be based out of the Scout Motors corporate headquarters in Charlotte, NC.  This role requires 4-5 days per week in the office, with regular in-person meetings and events.  Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time. What you’ll bring  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:  Master’s degree in Computer Science, Electrical/Electronics Engineering, or a related field with 8+ yrs. Of experience  Strong understanding of vehicle E/E architecture and ECU-level software stacks, automotive communication protocols (CAN, LIN, FlexRay, Ethernet), UDS diagnostics (ISO 14229) and diagnostic communication tools  Expert knowledge of GitHub/GitLab, Jenkins, and Artifactory. ALM/PLM proficiency in Codebeamer, Siemens Polarion, IBM DOORS Next Gen, or PTC Windchill.  Programming: Python (advanced), SQL, Bash   ML/AI: n8n, Pinecone, Scikit-learn, TensorFlow/PyTorch, time-series & anomaly detection with CI/CD expertise in Jenkins, GitLab CI, GitHub Actions   Containers/Orchestration: Docker, Kubernetes  Strong understan
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