ADAS Senior Architect

Job Requirements
At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.
Key Responsibilities Define the ADAS/AD system architecture from scratch – functional, logical, software and deployment views – from customer requirements through to start of production.Translate OEM feature requirements and ODD definitions into system requirements, architecture specifications and interface control documents.Select and justify the sensor set (camera, radar, lidar, ultrasonic, GNSS/IMU) and design sensor placement, calibration and time-synchronization strategy.Architect the perception, sensor fusion, localization, planning and control pipeline and its partitioning across SoC cores, accelerators and safety MCU.Lead compute platform selection and software mapping on ADAS SoCs such as NVIDIA DRIVE Orin/Thor, Qualcomm Snapdragon Ride and Renesas R-Car, including performance, latency and memory budgets.Define the middleware and communication architecture (AUTOSAR Classic/Adaptive, ROS 2, DDS, SOME/IP) including diagnostics, logging, cybersecurity and OTA update hooks.Embed functional safety (ISO 26262), SOTIF (ISO 21448) and cybersecurity (ISO/SAE 21434) into the architecture – safety goals, ASIL decomposition, freedom from interference and redundancy concepts.Own architecture trade-off studies, technical risk registers and design reviews; guide teams of engineering teams across various locations.Support pre-sales: solution proposals, effort estimation, technical presentations and RFQ responses for new ADAS programs.Mentor architects and lead engineers, and contribute to Quest Global reusable IP, accelerators and reference architectures.
We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.
We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.
Work Experience
Preferred Qualifications
B.Tech/ BE/ M.Tech/ ME/ PhD in Computer Science, Electrical Engineering, Electronics Engineering or a related field.Experience 12 to 18 years, with at least 5 years in an ADAS/AD architect role.Track record of architecting at least 2 live ADAS programs from scratch through to SOP or customer release.
Key Skills Required [ADAS Senior Architect] –
Must have
Complete knowledge of building an ADAS architecture from scratch across application, middleware and platform layers.In-depth knowledge of ADAS sensors – GNSS/IMU, cameras, radars, lidars and ultrasonic sensors – including their physical modalities, failure modes and limitations.Hands-on experience with L2/L2+ features such as Adaptive Cruise Control, Lane Keeping Assist, Lane Centering, AEB, Traffic Jam Pilot, Highway Pilot and Automated/Smart Parking.Working knowledge of at least one ADAS SoC – NVIDIA, Qualcomm or Renesas – including toolchains, accelerators and software deployment.Experience with sensor fusion and synchronization methods (hardware timestamping, PTP/gPTP, time alignment) for L2+ driving.Knowledge of automotive middleware stacks for communication, diagnostics (UDS/DoIP) and cybersecurity.Applied knowledge of ISO 26262, ISO 21448 (SOTIF) and ASPICE in architecture work.Strong C++ and Python skills and experience with model-based architecture tools (Enterprise Architect, Cameo/Capella, SysML).
Good to have
Experience with machine learning and computer vision approaches – CNNs, BEV and transformer-based perception, occupancy networks – and deployment tooling (TensorRT, SNPE/QNN).Knowledge of at least one automotive RTOS (QNX, AUTOSAR OS, SafeRTOS) and hypervisors.Exposure to L3 architectures – fail-operational design, redundancy and UN R157 (ALKS).Familiarity with Euro NCAP / Bharat NCAP protocols and EU GSR requirements for ADAS.Exposure to data-driven development – data logging, replay, scenario-based testing and simulation (CARLA, CarMaker).

Skills
Python, C++, Machine Learning, Computer Vision

Work arrangement
No