Position Overview

We are seeking a highly experienced Autonomy Architect with 10+ years of experience in autonomous driving, ADAS and safety-critical automotive software. The candidate will own the end-to-end architecture of the autonomy stack across perception, sensor fusion, localization, prediction, planning, control and vehicle interfaces.

This role combines technical ownership of the system architecture with leadership of the development teams that build it, ensuring delivery of a scalable, safe and production-ready autonomous driving platform.

Key Responsibilities

1. Autonomy Stack Architecture & Technology Leadership

- Define and own the reference architecture of the autonomy stack for Level 2+ to Level 4 functions (e.g. HWA, TJA, automated lane change, urban pilot, automated parking).
- Set the technical vision and roadmap for the stack, aligned to vehicle programmes and the target Operational Design Domain (ODD).
- Drive architecture-level decisions on algorithms for perception, fusion, localization, prediction, trajectory planning and control.
- Establish architecture principles for modularity, scalability, reuse across vehicle variants and over-the-air updatability.

2. System Architecture & Integration

- Define module boundaries, interfaces, data contracts and latency budgets between perception, fusion, planning and actuation.
- Select and evolve middleware and runtime frameworks (e.g. ROS 2, DDS, SOME/IP, AUTOSAR Adaptive).
- Define the compute and sensor architecture with hardware and ECU teams on production platforms (e.g. NVIDIA Orin/Thor, Qualcomm Snapdragon Ride, TI, Mobileye).
- Ensure integration with vehicle subsystems through CAN, CAN-FD, FlexRay and Automotive Ethernet, including drive-by-wire interfaces.
- Drive real-time performance,



determinism and resource optimisation (CPU/GPU scheduling, memory, power, thermal) on embedded targets.

3. Testing, Validation & Verification

- Define the verification and validation strategy for the autonomy stack across:
- Model-in-the-Loop (MiL)
- Software-in-the-Loop (SiL)
- Hardware-in-the-Loop (HiL)
- Scenario-based simulation (e.g. OpenSCENARIO)
- Test vehicles and proving grounds
- Define architecture-level KPIs, requirements traceability and test coverage.
- Architect the data loop: fleet logging, event triggering, data analysis and performance metrics.
- Lead root-cause analysis of critical system issues and drive architectural fixes.

4. Safety, Compliance & Standards

- Ensure the architecture meets automotive safety and cybersecurity standards:
- ISO 26262
- SOTIF (ISO 21448)
- ISO/SAE 21434 and UNECE R155/R156
- ASPICE processes
- Define redundancy, fault detection, fallback strategies and minimal-risk-condition behaviour.
- Contribute architecture artefacts and evidence to the safety case, and collaborate with safety and regulatory teams during design reviews.

5. Team Leadership & Cross-Functional Collaboration

- Lead and mentor architects, technical leads and senior engineers across perception, planning, integration and validation.
- Run architecture and design reviews, and set engineering standards for coding, documentation and CI/CD.
- Collaborate with product managers, hardware, vehicle integration, calibration, safety teams and suppliers.




- Drive technical decision-making and represent the architecture in reviews with internal and external stakeholders.

Required Skills & Experience

Technical Experience

- 10+ years in ADAS/Autonomous Driving or safety-critical automotive software development, including 3+ years in an architect or technical lead role.
- Deep hands-on experience in the following domains, with working knowledge across the full stack:
- Camera/LiDAR/Radar perception
- Sensor fusion and localization
- Prediction, trajectory planning and control
- Embedded systems and real-time software
- Expert proficiency in modern C++ (C++14/17/20) and Python; strong experience with ROS/ROS 2.
- Experience with automotive ECUs, AUTOSAR (Classic/Adaptive), and embedded Linux/QNX.
- Robust knowledge of CAN, CAN-FD, Automotive Ethernet, diagnostics and vehicle integration.

Testing & Validation Skills

- Hands-on experience with:
- Simulation platforms (CARLA, dSPACE, IPG CarMaker, Vector tools, NVIDIA DRIVE Sim)
- HiL/SiL test setups and scenario-based testing
- Large-scale data analysis for performance validation

Leadership & Delivery

- Proven track record leading architecture and development across multiple engineering teams.
- Ability to translate product and functional requirements into architecture, technical roadmaps and team plans.
- Strong communication, documentation and cross-functional coordination skills.

Preferred Qualifications

- Experience in Level 3/Level 4 autonomous driving programs.
- Knowledge of machine learning frameworks (PyTorch/TensorFlow) and end-to-end or learned planning approaches.
- Exposure to cloud-based test automation, data pipelines, or MLOps.
- Experience working with OEMs or Tier-1 suppliers.

📌 Autonomy Architect(Autonomous Vehicle Technology and ADAS) (Kochi)
🏢 RoshAi
📍 Kochi