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 agile 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: [email protected] www.techmahindra.com

📌 SWQA Triage Engineer Automotive : Bangalore (Bengaluru)
🏢 Tech Mahindra
📍 Bengaluru