Sr. Specialist - AI Automation & Testing

Scout Motors • Charlotte, NC

1d • $140,000 - $170,000 • Onsite

About The Position

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

Requirements

• 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 understanding, development and scaling of vehicle toolchain, data systems across fleet for development and analytics.
• Strong understanding of 1st principles in Engineering, result/solution oriented.
• Familiarity with SW for embedded systems, EE systems and architecture
• Familiarity with A2B, CAN, Automotive Ethernet, LIN, LVDS communication protocols and Vehicle Network tools, such as CANalyzer, CANoe, etc.‚
• Expertise with complex problem solving, data analysis, access/interpret/drive results with extended teams.
• Knowledge of Automotive design and development process, system requirements, and general engineering best practices
• Hands-on experience with vehicle communication protocols: CAN (DBC, UDS), LIN, Automotive Ethernet
• Experience building CI/CD systems, familiarity with Linux-based development environments.

Responsibilities

• 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
• 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

Benefits

• Competitive insurance including: Medical, dental, vision and income protection plans
• 401(k) program with: An employer match and immediate vesting
• Generous Paid Time Off including: 20 days planned PTO, as accrued
• 40 hours of unplanned PTO and 14 company or floating holidays, annually
• Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
• Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave
• Pay Transparency
• Annual performance bonus program

What This Job Offers

• Job Type: Full-time
• Career Level: Senior