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Head of Software Platforms-Electronics Automation

Head of Software Platforms-Electronics Automation

titan engineering & automation limited
10-12 Years
Not Disclosed
  • Posted 3 days ago
  • Be among the first 10 applicants

Job Description

TEAL designs and builds precision automation equipment for for Fortune 500 customers who demand world class throughput, repeatability, and reliability. We are a subsidiary of Titan Company Limited and a Tata Enterprise.

Our equipment is getting smarter. The next generation of our platforms integrates vision AI, real-time sensing, and adaptive control into the machines we build. The software layer is no longer a supporting function — it is how our products differentiate.

We are looking for a Head of Software Platforms to build and own that layer for electronics manufacturing. You will own the software architecture across our control, vision, and applied AI platforms, hire and lead a team of software and controls engineers, and ensure delivery keeps pace with hardware and process development.

This is a hands-on leadership role. You will make architectural decisions, review code, and stay close to the engineering — while building the practices and team that allow TEAL's software capability to scale. You will be working with leading tech companies who are our manufacturing customers.

What You Will Own

  • Software architecture across machine control, vision AI, and applied AI platforms — modular, testable, built to evolve- you will be creating and shaping product platforms.
  • Real-time machine control software: motion control, HMI, data acquisition, process control, diagnostics · Integration with industrial protocols: EtherCAT, OPC-UA, Profinet, and sensor/actuator interfaces · Vision AI inference pipeline and camera integration layer (working alongside AI/ML Research Lead who owns model architecture)
  • Robotics and vision integration in high tech manufacturing applications
  • AI deployment infrastructure: TensorRT, ONNX, model versioning, edge inference for <50ms production targets - we are early stage, so you get to shape use cases around physical AI implementation.
  • Software engineering culture: Git, CI/CD, code review, structured testing for control software and AI pipelines · Delivery commitments across concurrent programmes — schedule, quality, and customer commissioning readiness
  • Hiring and developing a team to a scalable organisation

What We Are Looking For

  • 10+ years in software development; 5+ years in a leadership or technical lead role
  • Hands-on experience building software with hardware integration — motion control, machine vision, PC-based controls OR hands on experience of building platforms for hardware applications in relevant industry segements.
  • Track record of building software teams and engineering practices from early stages, not just inheriting them. Startup experiences are greatly valued.
  • Proficiency in C#, Python, C++. Familiarity with PC-based automation frameworks or PLC mechanisms such as with TwinCAT, Beckhoff, or equivalent.
  • Familiarity with AI/ML deployment: TensorRT, ONNX Runtime, edge inference optimisation. You don't train models — you own the pipeline that deploys them · Understanding of software safety standards (IEC 62061, ISO 13849) in a machine context
  • Exposure to electronics, semiconductor, battery, or manufacturing is a plus. Adjacent high-precision industries welcome

· Those with Startup or high-growth product platform experiences are strongly encouraged to apply

Why This Role

· The software platform is being built now — you make the foundational decisions · Your software runs in high tech manufacturing environments in Fortune 500 factories; you get to build use cases for physical AI applications.

Real engineering problems: the software has to work on a machine, under manufacturing constraints, in front of a customer · Hosur, Tamil Nadu — near Bangalore, close to India's electronics manufacturing growth corridor

More Info

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Key Skills

Edge inference

Vision AI inference pipeline

Camera integration

Structured testing

Real-time machine control software