Senior AR / Computer Vision Engineer (Mobile Focus)

About the Role:

We are building a next-generation warehouse vision platform that combines on-device computer vision with real-time augmented reality overlays to identify inventory, count objects on shelves, and scan multiple barcodes simultaneously. We are looking for a senior-level AR engineer who has already solved similar complexity in production environments, and who can help us advance accuracy, speed, and reliability beyond industry standards.

This role is not for someone who wants to “learn AR on the job.” We need someone who can architect, optimize, and ship, with end-to-end ownership.

Responsibilities:

• Design and implement AR-based multi-object detection and tracking systems for warehouse environments
• Develop high-performance mobile components in Kotlin optimized for on-device (non-cloud) real-time processing.
• Integrate barcode/QR detection systems and develop custom AR overlay logic for product validation workflows.
• Optimize image processing pipelines to reduce inference latency (target: approach sub-0.3s per shelf/bin region).
• Improve performance under difficult conditions: dim lighting, angled labels, partial occlusion, curved surfaces.
• Collaborate closely with product leadership to scale computer vision features for commercialization.
• Conduct benchmark tests, profiling, GPU acceleration tuning, and system-level performance optimization.
• Own technical documentation, architectural specifications, and release-level quality.

Required Skills:

• Mobile Kotlin for Android (3+ years), Android Camera APIs, NDK familiarity
• AR ARCore (or similar), real-time object tracking, overlay systems
• Computer Vision YOLO / TensorFlow / PyTorch / MediaPipe / ONNX runtime
• Optimization On-device model quantization, pruning, GPU acceleration, TensorRT or NNAPI
• Barcode/QR Experience with multi-barcode scanning or image-based OCR Detection workflows
• Software Delivery Git workflows, CI/CD, profiling tools, performance regression testing

Bonus (Strong Preference):

• Experience with warehouse, logistics, robotics, or industrial CV applications.
• Experience optimizing inference times on mid-tier Android devices (not just flagship phones).
• Experience integrating external scanning SDKs (e.g., Scandit, ML Kit, Dynamsoft).

Who You Are:

• You think in systems, not scripts.
• You care about milliseconds, not just correctness.
• You can explain the trade-offs between accuracy, latency, and stability
• You know how to move a product from “working prototype” to commercial-grade reliability
• You take ownership.

Success in This Role Looks Like:

Within first 90 days, you will:

• Improve existing shelf-counting model speed by 30–60%.
• Ship a stable AR overlay scanning workflow that handles multiple barcodes at once.
• Demonstrate reliable performance in real warehouse lighting and angles.
• Design long-term scalability roadmap for CV + AR performance.

Experience:

• Min 3 Years+ You must have demonstrable hands-on experience with:

About Us:

PureLogics is a full services technology company with having presence in the USA, UAE, and in Lahore. Over the past 18+ years, we have matured from a narrowly-focused five-person team to a well-established technology hub with around employees. We’re CMMI Level 2 and ISO Certified company and highly acclaimed AWS consulting partners.

The success of our business mainly lies in building a team of A-players, who work together and build together, and who crave perfection in everything they produce for our elite clients. We offer the opportunity to young and enthusiastic individuals that are eager to take on tough challenges under our mentorship toward a bright future.

What are we offering?

• Health Insurance
• Life Insurance
• Employee Benefits Program
• Leave En-cashment
• Food Compensation
• Public Holiday Compensation
• Weekend Work Compensation
• Birthday Celebration
• Star Of the Months
• Referral Bonus
• Car Finance Program
• Bike Finance Program
• Quarterly Meet-Up
• Paid Certification
• Sports Gala
• Child education program
• Eid Gifts
• Iftar Meals

Job Type: Full-time

Pay: Rs400,000.00 - Rs500,000.00 per month

Work Location: On the road