Engineering Manager

The Role: Lead Engineering, Computer Vision, and QA teams to build and deploy DeepInspect, our edge AI-enabled solution for manufacturing quality checks. Own the full development lifecycle, ensuring 99.99% accuracy and sub-second latency on the factory floor. Focus on AI, embedded systems, and real-world manufacturing.

About SwitchOn:
Series B deep tech startup eliminating manufacturing defects with AI-powered vision inspection systems (DeepInspect). Clients include Unilever, Diageo, Hyundai, and Bosch. 200+ global deployments across 40+ enterprise customers. Visit our website for more.

Key Responsibilities:

• Lead, mentor, and scale Application Development, Computer Vision, and QA teams.
• Architect interactive, AI-based applications on embedded hardware.
• Define HLD/LLD for scalable data processing and model deployment infrastructure.
• Partner with Product/Sales/Customer teams for critical product scaling.
• Implement scalable Over-The-Air (OTA) update architectures for global plants.
• Champion engineering best practices, quality, and continuous improvement; drive hiring.

Requirements:

• 7+ years of software engineering (2+ years in management).
• Proven leadership and mentoring skills.
• Deep understanding of computer science fundamentals (data structures, algorithms, OS).
• Strong Python application development and on-prem/air-gapped deployment experience.
• Experience building/maintaining RESTful APIs (FastAPI, Flask, Django).
• Solid experience in data processing pipeline and system architecture (HLD & LLD) design.
• Familiarity with deep learning models, libraries, and Computer Vision applications.
• Strong understanding of deploying applications on edge systems.
• Excellent communication (written and verbal); experience with Linux and CI/CD/unit testing.

Why Join Us?
Impact: Build critical, non-demo infrastructure for our Vision AI platform running live at major companies (Unilever, P&G, ITC, Maruti), inspecting millions of units daily.
Growth: Scale globally with top deep-tech investors; architectural decisions will define the next decade.
Technical Challenge: Unique problem leading a team shipping at the edge: embedded hardware, real-time inference, and OTA updates to air-gapped environments.
Rewards: Meaningful equity participation with potential for personal impact.