About the Role
Our systems capture images from high-speed manufacturing lines, run DL algorithms at real-time latency, and detect faults at upwards of 99% accuracy. We are looking for rock-star Field Application Engineers for our computer vision products who can own the customer deployment process and ensure a world-class quality inspection system on their end.
What will you be doing on a day-to-day basis?
● Customer visits for inspection and deployment
● Inventory management for the system dependencies
● Working collaboratively with automation vendors for system integration
● System commissioning and validation
● Support and maintenance of the system if and when required
● Traveling around 5-6 times a month can be expected, pan India
Requirements
Requirements:
1. Experience in deploying Machine-Vision based quality inspection systems. 2. Experience in PLC programming.
3. Experience in Electrical Panel wiring.
4. Knowledge of sensors and automation systems.
5. Experience with Linux-based systems and command terminals is good
to have.
6. Experience in using debugging tools like multimeter, oscilloscope etc.
7. Experience in setting up test setups for end-to-end testing. 8. Experience in 3D CAD modeling is good to have.(Autodesk Fusion 360)
Benefits
Why join us?
● Be a part of an exciting growth stage startup, seed-funded by some of the best deep tech investors in India.
● Ownership-driven work culture, opportunities to work in cross-functional teams
Skills Required
- Experience deploying machine-vision-based quality inspection systems
- Experience with PLC programming
- Experience with electrical panel wiring
- Knowledge of sensors and automation systems
- Experience using debugging tools such as multimeters and oscilloscopes
- Experience setting up test setups for end-to-end testing
- Experience with Linux-based systems and command terminals
- Experience in 3D CAD modeling using Autodesk Fusion 360
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performs dimensional checks and supports thermal inspection replacing slow, error-prone manual inspection processes and outdated rule-based vision systems.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.
Gallery
