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
Skills Required
- BS or MS degree in engineering or computer science
- 5+ years of relevant working experience
- Experience with ADAS or autonomous driving software stack
- Experience integrating AV vehicle functions like ACC, AEB, APA
- Experience with log/replay workflows and KPI validation for ADAS features
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
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.”
