Chennai Tamil Nadu Embedded systems company Jobs – 137 Open Jobs Today

Lead Computer Vision Engineer
LIFO Technologies —Chennai, Tamil Nadu
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- Linux
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ASSA ABLOY —Chennai, Tamil Nadu
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- Schematics
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Qualcomm —Chennai, Tamil Nadu
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NETGEAR —Chennai, Tamil Nadu
- Full-time
- Computer Science
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indie Semiconductor —Chennai, Tamil Nadu
- English
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Render TD
DNEG —Chennai, Tamil Nadu
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AstraZeneca —Chennai, Tamil Nadu
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Director - Data Ops & Data Foundation for Global Operations
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Forward Deployed Engineer
Rocketlane —Chennai, Tamil Nadu
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Freshworks —Chennai, Tamil Nadu
- ₹0 a year
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- Azure
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IT Head
Saaki Argus & Averil Consulting —Chennai, Tamil Nadu
- Salesforce
- Master's degree
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Specialist, Infrastructure Solution Engineer II
The Bank of New York Mellon Corporation —Chennai, Tamil Nadu
- Full-time
- JavaScript
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Manager, DevSecOps
SES —Chennai, Tamil Nadu
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Senior Consultant – SAP ABAP HANA-UI/UX
AstraZeneca —Chennai, Tamil Nadu
- Full-time
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WiFi SW Director
NETGEAR —Chennai, Tamil Nadu
- Full-time
- Windows
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HR Recruiter
Ruru Tek Pvt Ltd —Chengalpattu, Chennai, Tamil Nadu
- ₹15,000 - ₹30,000 a month
- Email
- English
- Human resources
- In-person
- Health insurance
- Paid time off
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11d
Senior Manager - Business Development - Chennai
Schneider Electric —Chennai, Tamil Nadu
- Online application
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13d

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Lead Computer Vision Engineer

LIFO Technologies
Chennai, Tamil Nadu

Apply Now

Job details

Full-time

Qualifications

TensorFlow
Image processing
PyTorch
Computer vision
Software deployment
Deep learning
OpenCV
APIs
Linux
Manufacturing
Python
Analytics

Full job description

Industrial AI, OCR, and edge deployment, within the Product Engineering team.

Chennai (On-site, with client-site travel) Full-time 6 to 10 years

Reports ToProduct Engineering Lead

About LIFO Technologies

LIFO Technologies is a Chennai-based deep-tech company building products and engineering solutions across computer vision, embedded systems, RFID, industrial IoT, and power electronics. We work with enterprise and industrial customers, with production AI and vision systems running across customer sites under real-world lighting, environmental, and operational constraints.

The Role

We are looking for a senior hands-on computer vision engineer to take technical ownership of vision capability within our Product Engineering team. Reporting to the Product Engineering Lead, you will partner with hardware, firmware, platform, and field teams to deliver vision modules that ship and run reliably at customer sites. This is not a pure research role. It is best suited to an engineer who enjoys moving between model development, edge deployment, site conditions, and team execution.

What You Will Own

Technical Delivery

End-to-end delivery of vision modules within product engineering programs, from problem definition to production rollout.
Model selection, training, evaluation, optimisation, deployment, and post-deployment improvement loops.
Build and improve systems across OCR, barcode and QR, object detection, tracking, anomaly detection, and industrial video analytics.
Optimise models for edge and on-prem deployments using NVIDIA Jetson, TensorRT, ONNX Runtime, and GPU servers.
Work with field and hardware teams on camera placement, calibration, lighting, data capture, and deployment reliability.
Review code, raise engineering quality, mentor junior engineers and annotation teams, and create reusable pipelines, deployment playbooks, and evaluation standards.

Solutioning Support

Support the Product Engineering Lead and sales team in technical discovery with prospect engineering, operations, and plant teams.
Convert ambiguous customer asks into workable solution architectures, effort estimates, and POC plans.
Define camera coverage, edge hardware, inference flow, integration approach, and dashboard requirements for new opportunities.
Contribute technical sections to proposals, pilot scopes, and customer presentations.

Must Have

6 to 10 years hands-on experience in computer vision, deep learning, or applied ML, with at least 2 years leading customer-facing deployments.
Strong Python and software engineering habits: version control, code review, testing, reproducibility, and maintainable production code.
Deep experience with PyTorch or TensorFlow, and solid command of OpenCV-based video and image pipelines.
Proven experience shipping vision systems from prototype to production, not only training offline models.
Experience across OCR, object detection, classification, segmentation, industrial code reading, or video analytics and tracking.
Hands-on experience with edge or on-prem inference stacks: NVIDIA Jetson, TensorRT, ONNX Runtime, or similar.
Experience handling real-world camera and deployment constraints: low light, motion blur, occlusion, camera angle, dust, glare, and unstable field environments.
Ability to integrate vision outputs into APIs, dashboards, and operational systems. Comfort working with engineers and business stakeholders. Willingness to travel to customer sites when required.

Nice to Have

MLOps or experiment tracking tools such as MLflow, DVC, or Weights and Biases.
Prior work in industrial environments with dust, glare, rain, low light, and camera inconsistency.
Experience in manufacturing, utilities, energy, transportation, mobility, or large multi-site operations.
Experience with multi-camera systems, evidence workflows, or video systems that stand up in audit or operational review.
Exposure to embedded Linux, camera integration, or hardware-aware optimisation.

Why Join LIFO

Work on deployed systems alongside hardware, firmware, and platform engineers.
Broad, commercially relevant problem set: OCR, industrial analytics, safety, monitoring, industrial vision, and edge AI.
Direct collaboration with the product engineering team, not behind a handoff layer.
Help shape team standards, productisation patterns, and the reusable solution stack as the company scales.

Apply Now

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embedded systems company jobs in chennai tamil nadu

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