Senior System Software Architect Autonomous Vehicles

NVIDIA; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

NVIDIA's Autonomous Vehicles Platform team is seeking a Senior Systems Software Engineer with a strong foundation in software architecture to advance the platform across multiple OEMs. You will analyze performance, ensure deterministic execution, and drive scalable integration across software, systems, and hardware.

You will design modular boundaries, refactor ADAS components for reuse, and establish tests, design reviews, and documentation that scale with the platform while optimizing for

Qualifications

• Bachelor's or master's degree in CS/CE or equivalent experience.
• 8+ years of professional software development experience.
• Strong C++ programming background.
• Experience with multithreaded, real‑time, or performance‑critical systems.
• Familiarity with parallel/distributed systems and low‑level profiling.
• Experience working in Linux, QNX or embedded RTOS.

Responsibilities

• Drive architectural improvements to modularize the software stack.
• Design boundaries between components with a performance-first mindset.
• Refactor ADAS components for reuse, extensibility and long-term maintainability.
• Collaborate with software, systems and hardware teams to define interfaces and improve integration velocity.
• Establish tests, design reviews, and architectural documentation that scales with the platform.
• Profile and tune system performance for multi-core and real-time environments.

Skills

C++ programming

Multithreading

Linux

QNX

Software architecture

Performance tuning

Communication

Education

Bachelor/Master in CS/CE

Tools

Git

Bazel

Job description

Job Description:

Our Autonomous Vehicles Platform team is responsible for building a scalable and modular software stack that powers advanced driver-assistance systems across a diverse range of product lines and OEMs. We are looking for a highly motivated Senior Systems Software Engineer with a strong foundation in software architecture. This role is ideal for someone who thrives on working across multiple layers of the software stack to analyze performance, inter-operation and deterministic execution flows. You will play a key role in evolving the platform to support efficient integration and scalability in a complex multi‑OEM environment.

What you will be doing:

• Driving architectural improvements that simplify and modularize the software stack.


• Designing and developing clean boundaries between components with performance‑first approach to software modules.


• Refactoring ADAS components to support reuse, extensibility, and long‑term maintainability.


• Partnering with teams across software, systems, and hardware to define clear interfaces and improve integration velocity.


• Establishing test coverage, design reviews, and architectural documentation that scales with the platform.


• Profiling and tuning system performance — optimizing for modern multi‑core and real‑time environments.

What we need to see:

• B.Tech. or M.Tech. in Computer Engineering, Computer Science, or a related field (or equivalent experience).


• 8+ years of professional software development experience.


• Solid background in C++ programming.


• Strong understanding of modular software architecture, clean code design, and separation of concerns.


• Hands‑on experience building and debugging multithreaded, real‑time, or performance‑critical systems.


• Familiarity with parallel/distributed systems and low‑level system profiling.


• Comfortable working in Linux, QNX, or other embedded RTOS environments.


• Exceptional communication skills and a collaborative, hard‑working attitude.

Ways to Stand Out From The Crowd:

• Experience developing ADAS software — especially in components like Planning, Sensor Fusion, Mapping, or Localization.


• Deep understanding of real‑time operating systems, particularly QNX.


• Familiarity with the automotive software lifecycle and integration across safety‑critical systems.


• Experience with memory management, DMA engines, and hardware abstraction layers (HAL).


• Experience using Git and Bazel in large‑scale software environments

#AutonomousVehicles