Sr. Specialist - AI Automation & Testing

What you’ll do

At Scout Motors, you don't just design vehicles- you shape the future of the road. Our Engineering team is where bold ideas meet rigorous execution, building machines that are as durable and capable as the people who drive them. You'll work shoulder-to-shoulder with brilliant minds across disciplines, turning complex challenges into elegant, scalable solutions that meet the highest standards of safety, performance, and user experience. This is a place where your fingerprints are found on metal – where what you design gets built, driven, and remembered. If you're hungry to engineer something that matters, Scout Motors is where that ambition finds its highest gear.

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 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

  Skills & Tags

  pythongoawskubernetesdockeraiiosdata