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The automotive industry is at disruption & NVIDIA is at the forefront of the autonomous vehicle revolution, powering many key solutions for major car manufacturers. We are engaged in the key areas of automotive business where visual computing & AI matters: AI Cockpit and Autonomous Vehicles (AV). Autonomous vehicles need a supercomputer on wheels it's an AI & SW heavy computational challenge. There is not an off-the-shelf platform which stands up to this challenge, so we are building our own. You have technically mastered your field, gathered several years of senior experience in cracking complex problems and now seeking a next challenge Join our automotive teams and apply now!
We are looking for an experienced V&V Lead based in Bangalore to drive all aspects related to testing & validation for ADAS customer engagements working closely with our product organization.
What you'll be doing:
First point of contact to address all the V&V related queries from the customer
Create a V&V concept for ADAS software that is compliant to automotive standards
Support setting up the test environment such as HiL, SiL and Restbus simulation
Responsible for the complete test life cycle including specification, implementation, execution and error analysis
Maintain the complete traceability from requirements to test results
What we need to see:
BE or ME degree from a leading university in an engineering or computer science related discipline with 10+ years of relevant working experience
Prior experience in leading testing and validation of Automotive ADAS products
Knowledge of ADAS features (Active Safety, Driving & Parking) including certification requirements and KPIs
Experience in test strategy creation & test management for ADAS products
Good knowledge on various test environment setup such as HiL, SiL and restbus simulation
Good understanding of complex Automotive Software (OS, Platform, Applications) & Systems including Vehicle interfaces and dependencies
Good knowledge of process standards like ASPICE & ISO26262
Strong written and verbal interpersonal skills
Ways to stand out from the crowd:
Self-motivated and work effectively across different functional organizations
Dedicated and able to work with minimum supervision
Experience working on QNX based products
Knowledge of complex SoCs
Prior software development experience
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as "the AI computing company.
Job ID: 147007161
