TL;DR

Senior Staff Software ML Engineer (Embedded IoT Dev): Lead design, optimization, and deployment of embedded AI systems for real-time edge AI applications in transportation and IoT with an accent on scalable, high-performance solutions and system-level architecture. Focus on architecting compute-intensive platforms, cross-platform portability, and security compliance.

Location: Bangalore, India (Onsite)

Company

%hirify_global% harnesses computer vision and edge computing to revolutionize transportation safety with rapidly growing fleet safety solutions.

What you will do

Architect and optimize embedded ML and computer vision systems on platforms like Qualcomm and NVIDIA.
Lead design of end-to-end IoT systems including performance, stability, OTA updates, and cloud communication.
Drive system-level decisions for real-time processing, state management, and fault tolerance.
Collaborate with hardware, product, and data science teams to deliver scalable solutions.
Ensure security, reliability, and compliance in embedded software design.
Mentor engineers and lead technical reviews and architecture discussions.

Requirements

Location: Must be based in Bangalore, India (onsite role)
B.Tech or M.Tech with 9+ years in embedded systems and ML/CV workloads.
Strong experience in C/C++, Python, and embedded platform SDKs.
Proven track record in designing compute-intensive systems and IoT architectures with cloud integration.
Knowledge of secure boot, encryption, fault-tolerant design, and compliance standards (ISO, GDPR).
Excellent leadership and communication skills.