SWQA Triage Engineer Automotive : Bangalore

Hi, Please find the below JD, if you are interested ,please share your updated resume, CTC, ECTC, NP and location details . SWQA Triage Engineer Automotive Location : Bangalore Exp: 3+Yrs Mandatory Skills: B.Tech. or Equivalent degree in CS/CE/Robotics/ECE/EEE At least 3+ years hands on testing & debugging experience in in the autonomous field, or computer vision related projects Understanding of: Perception systems (Computer Vision, Sensor fusion) Planning and control pipelines Good Knowledge of Python scripting language is mandatory – able to write logical scripts/code from scratch. Good experience in ADAS verification and validation of Scenarios using Hardware-in-Loop (HIL) and Software-in-Loop (SIL) Simulation setup. Experience with Linux and/or QNX is required. Another embedded OS experience is helpful. Hands on experience of functional safety standards (ISO 26262), particularly in Autonomous systems. Should be an excellent teammate, with passion towards new technology/trends. Should be good analytical skill, an excellent teammate, with passion towards new technology/trends. Justification: Looking for SWQA Triage Engineer for triaging in-car logs and channelize. This needs ADAS domain knowledge. We are looking for hardworking SWQA Triage Engineer to join the Automotive QA group. This position will be part of a dynamic crew that test, measure and maintains the performance and quality of complex heterogeneous computing systems that power state of the art automotive products used in self-driving cars. We are looking for a SWQA Triage Engineer to develop and execute exploratory and automated tests to ensure self-driving car SW/HW stack meet high standards of quality. As a member of this core team, you will be working with highly competitive and motivated engineers. This role will also require to frequently get along with Dev module leads & cross matrix architects. Join us at forefront of this ground-breaking autonomous vehicle revolution. You can read more about it here: https://www.nvidia.com/en-au/self-driving-cars/ What you'll be doing: Investigate and resolve issues across the full autonomous stack (perception planning control) Debug failures in real-time systems involving sensors, compute platforms, and AI models to relate with Autonomous Vehicle SW stack/components. Work with large-scale datasets (sensor logs, simulation outputs). Use data analysis tools to identify patterns and failure trends Measure, track and follow to improve the performance of SW stack, components and E2E (Deep Neural Networks) DNN algorithms from self-driving cars complex SW architecture. Participate in review and provide feedback on product feature requirements, specifications, and technical design documents. Communicate findings clearly to stakeholders. Improve system robustness through continuous feedback Develop debugging tools, scripts, and dashboards. Automate log analysis and anomaly detection. Improve observability (metrics, tracing, monitoring ) Ways to stand out from the crowd: Actual In-car on road/test track based experience Any certification course on Machine learning / Self-driving car. Hands-on experience in HIL/SIL setup and Testing. Knowledge of autonomous driving simulator (IPG Car Maker, Tass Prescan, etc...) Regards, Mallika -IES Tech Mahindra Ltd Email: mallika.modugu@techmahindra.com www.techmahindra.com