ADAS SW Architect – NVIDIA THOR Platform

ADAS SW Architect NVIDIA THOR Platform

Location: Bangalore

Experience: 58 Years

Open Position: 1

Notice Period: Immediate to 30 Days

Job Overview:

We are looking for an experienced ADAS SW Architect with strong expertise in NVIDIA THORbased platforms to drive next-generation ADAS and autonomous vehicle software architecture development. The role involves defining scalable software architectures, leading PoCs, and providing technical direction across Adaptive AUTOSAR and high-performance compute platforms.

Key Responsibilities:

Own and drive end-to-end ADAS software architecture on NVIDIA THOR platforms

Define system architecture for ADAS perception, planning, and platform services

Lead architecture decisions for Adaptive AUTOSARbased high-performance ECUs

Drive architecture explorations, feasibility studies, and new technology initiatives

Design and integrate modern C++ applications on Linux / POSIX / QNX platforms

Collaborate with hardware, BSP, middleware, and application teams for system integration

Define IPC, scheduling, memory, and performance strategies for ADAS workloads

Support scalable architectures across multiple vehicle programs and compute variants

Lead PoCs and innovation activities for ADAS middleware and compute frameworks

Translate PoC learnings into production-ready architectural guidelines

Participate in technical reviews, governance forums, and stakeholder discussions

Required Skills:

58 years of experience in ADAS / Embedded / Automotive Software

Strong experience with NVIDIA THOR or similar HPC platforms

Hands-on expertise in Adaptive AUTOSAR architecture design

Strong programming skills in Modern C++

Good working knowledge of Linux, POSIX, and QNX

Experience in multi-process, multi-core, performance-critical systems

Strong understanding of ADAS/AV software stacks and HPC architectures

Excellent communication, technical leadership, and problem-solving skills

Good to Have:

Exposure to perception, middleware, and platform services

Understanding of latency, scalability, safety, and performance constraints

Experience with embedded build systems, toolchains, and CI/CD concepts

Awareness of Functional Safety and Automotive development processes

Tools & Technologies:

NVIDIA THOR Platform

Adaptive AUTOSAR

C++ (Modern C++)

Linux / POSIX / QNX

Embedded HPC Platforms

ADAS Middleware & Platform Services

Education:

Bachelors / Masters in Computer Science, Electronics, Electrical, Automotive Engineering, or related fields

Interested?

Please share your updated resume to: Shital.jakkulwar@tatatechnologies.com

Kindly include:

Total Experience

Relevant Experience

Current Company

Current Location

Preferred Location

Current CTC

Expected CTC

Notice Period / LWD

Any career gap (if applicable)