Technical Manager - Automated Vehicle

Job Description

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