Senior Software Engineer, DriveAV - Autonomous Vehicles

Overview

• 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 now looking for a Senior Software Engineer, based in Bangalore, India to join our Autonomous Driving Software team.
• What you’ll be doing: Support bring-up, integration, and issue resolution for longitudinal/lateral assist, parking, and active safety features.
• Map customer requirements (use cases, ODD, variants, markets) to existing AV capabilities and drive alignment.
• Support vehicle integration: sensor and actuator interfaces, Vehicle IO / signal alignment, calibration, diagnostics and data logging / replay for debug Dive deep into analysis, diagnosing root causes, and refining the product experience.
• What we need to see: BS or MS degree from a leading university, or equivalent experience, in an engineering or computer science related discipline with 5+ years of relevant working experience Experience with ADAS or autonomous driving software stack Experience integrating (not only testing) AV vehicle functions like ACC, AEB, or APA on a series production or late-prototype platform Experience with how faults map to feature-level degradations (ADAS / L2+ / parking / active safety), diagnostic routines (factory vs.
• service calibration, diagnostic message flows), and static vs.
• online calibration—with the ability to support the customer on live projects.
• Experience with log/replay workflows and KPI validation for ADAS features Good written and verbal interpersonal skills - concisely articulate knowledge and ideas Ways to stand out from the crowd: Experience in functional development, adaptation and testing of automotive software based on various sensors (e.g.
• camera, radar, lidar, GPS, ultrasound etc.) Understand how perception, planning, and control fit together in a production-style autonomous driving stack Experience in Automotive AV application and middleware development Self-motivated and work effectively across different international functional organizations Awareness of Automotive Vehicle certification & standards.