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.
Skills Required
- 7+ years of software engineering experience
- 2+ years of engineering management experience
- Proven leadership and mentoring skills
- Strong computer science fundamentals, including data structures, algorithms, and operating systems
- Strong Python application development experience
- On-premises and air-gapped deployment experience
- Experience building or maintaining RESTful APIs using FastAPI, Flask, or Django
- Experience designing data-processing pipelines and system architectures using HLD and LLD
- Familiarity with deep learning models, libraries, and computer vision applications
- Strong understanding of deploying applications on edge systems
- Excellent written and verbal communication skills
- Experience with Linux, CI/CD, and unit testing
What We Do
SwitchOn (Abee Research Labs Private Limited) is a Bengaluru-based AI software company founded in 2017, helping manufacturers eliminate defects through AI-powered visual quality inspection. At the core of SwitchOn's offering is DeepInspect®, a SaaS-based AI visual inspection platform purpose-built for high-speed production environments. DeepInspect automates the detection of visual defects, performs dimensional checks and supports thermal inspection replacing slow, error-prone manual inspection processes and outdated rule-based vision systems. What sets DeepInspect apart is its unique training approach: it requires only ~200 good product images to get started no defect samples needed. A new inspection model can be trained and deployed in approximately 45 minutes, compared to weeks or months with traditional systems. Once live, DeepInspect delivers 99.5% real-world inspection accuracy at throughputs of 1,100+ units per minute, making it viable for even the most demanding production lines. SwitchOn serves manufacturers across Automotive, Pharma, Electronics and FMCG industries, with deployments spanning 50+ plants across India, North America, Europe and Southeast Asia. To date, DeepInspect has inspected over 1 billion products globally, saving thousands of manual inspection hours and supporting customers' zero-defect manufacturing goals. Customers include global enterprises such as Unilever, ITC, SKF, Diageo and Sansera Engineering. The platform integrates with existing camera hardware and supports compliance with SOC 2, ISO 9001:2015, CE and 21 CFR Part 11 standards, making it enterprise-ready from day one. Backed by Axilor Ventures and Pi Ventures and recognized by NASSCOM Emerge 50, Google for Startups AI First and NVIDIA Inception, SwitchOn is a Series A-funded company with a 100+ person team and ~$1.5M ARR, scaling rapidly with marquee manufacturing customers worldwide.
Why Work With Us
At SwitchOn, you work on real Industrial AI solving defect elimination for global manufacturers like Unilever, P&G & Tata. We're ownership-driven, fast-paced & transparent with equity benefits, full health insurance & company meals. Join an early-stage team converging IoT & AI to transform manufacturing.
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