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Type: Full-Time Location: Onsite (Bangalore) Role Summary We are looking for a highly capable Perception Engineer to build robust perception systems for outdoor robotics. This role focuses on developing vision models, data pipelines, and inference systems for challenging real-world environments, with strong emphasis on accuracy, edge-case handling, maintainability, and deployment readiness. The ideal candidate should combine strong fundamentals with applied vision engineering expertise across image processing, deep learning, data-centric model development, failure analysis, and deployment optimization. We are looking for someone who can understand complex problems deeply, define explicit evaluation standards, and build reliable perception pipelines for real-world operation. Key Responsibilities Design and develop perception pipelines for real-world environments using computer vision, deep learning, and geometric reasoning. Build and improve models for scene understanding, recognition, segmentation, tracking, and spatial perception using up-to-date deep learning architectures. Develop perception systems for monocular scene understanding and depth-related tasks where explicit depth sensing may not be available. Develop and evaluate online CNN models for human detection, tracking, and path prediction under occlusion for safe robotic operation. Translate use cases into measurable ML objectives, success metrics, and acceptance criteria such as mIoU, mAP, precision/recall, latency, FPS, and failure-case coverage. Own the data pipeline end to end: data collection planning, annotation workflow definition, dataset curation, pre-processing, augmentation, label quality checks, and post-processing. Work with annotation teams and tools such as CVAT to create high-quality datasets, including pixel-wise annotations, taxonomy definition, and edge-case labeling. Fine-tune and adapt up-to-date foundation models such as SAM, DINOv2, and evaluate when they are useful versus custom task-speci .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.