Job Title: L&D Trainer – Simulation & Triage | Autonomous Mobility
Department: Learning and Development (L&D)
Domain/Business Unit: Autonomous Mobility
Location: Pune,Maharashtra
Job Type: Full-time
Role Overview
The L&D Trainer – Simulation & Triage will deliver advanced technical training across simulation validation, behavioral triage, and safety workflows in autonomous vehicle projects. This role ensures high-quality enablement on simulation-based scenario creation, LiDAR data review, GenAI-integrated triage, and safety validation — driving operational readiness and technical depth across teams working on AV systems.
Key Responsibilities
1. Design & Delivery of Simulation Training
- Deliver hands-on sessions on AV simulation workflows, including behavior modules (prediction, planning, perception).
- Conduct training on simulation-based scenario generation, event injection, and behavioral validations.
- Facilitate triage of simulation outputs (video, logs) to assess disengagements and validate system responses.
- Lead focused workshops on LiDAR triage, edge-case analysis, and failure detection.
2. Scenario & Safety Evaluation
- Guide interpretation of simulation results and reports to extract behavior anomalies.
- Align training delivery with QA/Engineering workflows for safety validation and scenario testing.
- Coach teams on identifying and reporting safety-critical failure modes across simulation data.
3. GenAI Enablement
- Leverage GenAI tools for automating triage tagging, generating synthetic scenarios, and log summarization.
- Enable learners to use AI-assisted platforms to improve triage speed and consistency.
4. Learning Support & Feedback
- Design assessments to evaluate learner grasp on scenario creation and simulation analysis.
- Provide on-floor/live query support and offer targeted coaching based on performance trends.
- Collect feedback and iterate on content for improved delivery effectiveness.
5. Continuous Learning & Stakeholder Alignment
- Stay updated with industry-standard AV testing practices, tools, and technologies.
- Engage with delivery leads, QA teams, and SMEs for feedback loops and training evolution.
Required Qualifications
Education:
Bachelor's or Master's degree in Engineering, Computer Science, Robotics, or a relevant technical discipline.
Certifications:
Preferred: Instructional Design, Train the Trainer, AV Testing tools certification, or relevant simulation platform credentials.
Experience
2–5 years in technical training with hands-on experience in AV simulation, validation workflows, or systems triage in an R&D or production environment.
Skills and Competencies
- Strong instructional design and facilitation skills.
- Proficiency in tools like Jira, Confluence, Notion, PowerPoint, Excel.
- In-depth technical knowledge of:
- AV modules: planning, prediction, perception, control
- LiDAR and sensor data analysis
- Scenario-based testing
- Familiarity with GenAI tools for automation in triage/log handling.
- Excellent communication and stakeholder management skills.
- Analytical mindset with focus on learning outcomes and ROI.
- Strong time management, attention to detail, and a collaborative mindset.
Domain Knowledge (Mandatory)
Domain: Autonomous Mobility
Expected Expertise:
- ADAS, AV behavior planning and simulation
- Triage and validation workflows
- Safety-critical testing and automation via AI tools
Key Performance Indicators (KPIs)
- Simulation hours trained and completed per team
- Accuracy and completeness in scenario and triage assessments
- Post-training test score improvements
- Time-to-productivity for new team members
- Learner satisfaction scores (internal surveys)
- Adoption rate of GenAI tools in triage workflows
Work Environment & Collaboration
- Regular collaboration with QA, domain SMEs, and global project managers.
- Flexible working hours and on-floor support may be required.
- Exposure to international clients and diverse cross-cultural teams.
