Technical Manager - Automated Vehicle

Technical Skills

Should have deep knowledge on AI/ML - CNNs, RNNs, LLM - interfacing

Very good experience in Automobile domains - CAN/LIN/SomeIP protocol, AUTOSAR Classic/Adaptive, Infotainment, Cluster etc. .

Very Good knowledge on HW/ECU emulators or performed FMEA

Should have experience in tools like Git, JIRA, Jenkins etc. .

Good to have skills-

GCP or AWS or Azure

BigData, BigQuery, Teraform, Airflow are a definite plus

Functional Skills:

Proficient in developing High/Low Level & Architectural Design documents for Embedded Automobile environment

Should possess strong debugging skills to help team members and mentor them technically

Able to communicate unambiguously with customers and SPOC for providing technical solutions to complex design.

Able to handle multiple teams working on different automobile domains

Should have the capability to deliver high quality product with strict timelines

Able to carefully assess requirements, identify risks and come up with plans to mitigate those

Able to handle multiple stakeholders at different geographical locations to deliver.

Will be proficient in Github

Experience

8+ years of experience in Software Development preferably in Automotive Domain

Education

M. Tech / ME / B. Tech / BE in CS, EEE, ECE, E&I from reputed Universities

Roles and Responsibilities:

Will be able to develop Algorithms for Software Defined Vehicles (SDV) using C++(11, 14, 17) & Python

Will be developing AI/ML based algorithms from the scratch and train models using PyTorch or TensorFlow

Will be setting up CI/CD pipeline using Jenkins or Tekton

Will be working in Cloud; automating, provisioning and setting up pipelines using Teraform & orchestrate using AirFlow

Will be containerizing applications using Dockers/Podman and able to host & orchestrate in Kubernetes

Will be developing networking protocols like HTTP, HTTPS, TCP, UDP, NAT, STUN, TURN

Will be developing device drivers for peripherals in Linux Platform