It would be preferable to consider Data Platform Engineers rather than pure DevOps Engineers, as their skill sets such as Python, Airflow or Flyte, Docker, Kubernetes, and experience with any public cloud (with a preference for Google Cloud) align better with the requirements of the current role.
Job Responsibilities
Development of Large-Scale Simulation platform for Next generation ADAS system
Integration of cloud platforms for orchestrating simulations and evaluations on large-scale.
Development, integration and debugging of workflow orchestration systems, specifically suited to automotive simulations
Familiarity with tools and software used for SIL assessment
Troubleshooting simulation behaviour, optimize performance, and ensure accurate results
Debugging of the issues in the software through debuggers
Testing of the Complete Simulation Framework (incl. Unit test, module test and acceptance test)
Setting up automated mechanisms for in-house simulation platforms
Mandatory / Good to Have Skills
Programming Language Python, Shell Terraform, Go, Typescript, C++, Julia
Architectures Know how on GCP Kubernetes, Automotive Software-in-the-Loop Technology Working experience in GCP, Autonomous Driving Systems, High-Level understanding of Hardware-in-the-Loop
OS Working knowledge on Linux OS Linux, Unix, Git, Jira
Windows (Professional know how and knowledge on CMD, Excel, Word, PPT).
General Docker, Kubernetes, Flyte/Airflow, Backend Engineering, DB management Temporal, Virtual Networking, IPC, virtual network setups, aware of Distributed Software System.
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Job Category:
Embedded HW_SW
Job Type:
Full Time
Job Location:
Bangalore
Experience:
4-9 years
Notice period:
0-30 days
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