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IoT Breakthrough Of The Year Award

Best Retail Insights Winner 2025

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&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p data-start=&quot;308&quot; data-end=&quot;630&quot;&gt;As a &lt;strong data-start=&quot;313&quot; data-end=&quot;341&quot;&gt;Senior Software Engineer&lt;/strong&gt; on our &lt;strong data-start=&quot;349&quot; data-end=&quot;368&quot;&gt;Computer Vision&lt;/strong&gt; team, you will collaborate closely with Research Scientists to turn cutting-edge research ideas and prototypes into robust, production-ready code. This software runs on tens of thousands of edge devices and sensors deployed globally in live retail environments.&lt;/p&gt;
&lt;p data-start=&quot;632&quot; data-end=&quot;888&quot;&gt;Our stack is &lt;strong data-start=&quot;645&quot; data-end=&quot;660&quot;&gt;C++-centric&lt;/strong&gt;, with a strong focus on &lt;strong data-start=&quot;685&quot; data-end=&quot;706&quot;&gt;Android platforms&lt;/strong&gt; and &lt;strong data-start=&quot;711&quot; data-end=&quot;744&quot;&gt;real-time ML model deployment&lt;/strong&gt;. We are looking for someone with deep expertise in these areas, ready to make a meaningful impact in both research and production environments.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Responsibilities:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Develop, optimize, and maintain C++ code for computer vision and ML applications.&lt;/li&gt;
&lt;li&gt;Deploy ML models efficiently on Android edge devices, ensuring real-time performance.&lt;/li&gt;
&lt;li&gt;Port research prototypes into production-quality, scalable code.&lt;/li&gt;
&lt;li&gt;Optimize code for performance across various hardware accelerators (CPU, GPU, DSP).&lt;/li&gt;
&lt;li&gt;Convert and tune neural networks (e.g., using TFLite, NNAPI, ONNX) for edge deployment.&lt;/li&gt;
&lt;li&gt;Conduct performance benchmarking and profiling across platforms (Android, GPU, DSP).&lt;/li&gt;
&lt;li&gt;Collaborate with cross-functional teams on data annotation and evaluation processes.&lt;/li&gt;
&lt;li&gt;Analyze algorithm outputs and video/image data for improvements and QA.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Qualifications:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Bachelor&#39;s or Master’s degree in Computer Science, Software Engineering, or related field.&lt;/li&gt;
&lt;li&gt;Strong proficiency in C++ (modern standards and optimization techniques).&lt;/li&gt;
&lt;li&gt;Hands-on experience with Android development, especially for native code and NDK.&lt;/li&gt;
&lt;li&gt;Proven experience deploying ML models on mobile or embedded platforms.&lt;/li&gt;
&lt;li&gt;Experience with computer vision and ML frameworks (e.g., OpenCV, TensorFlow, PyTorch).&lt;/li&gt;
&lt;li&gt;Ability to write efficient, hardware-conscious code for constrained environments.&lt;/li&gt;
&lt;li&gt;Comfortable working at the intersection of research and production software.&lt;/li&gt;
&lt;/ul&gt;
&lt;h3&gt;&lt;strong&gt;About RetailNext&lt;/strong&gt;&lt;/h3&gt;
&lt;p&gt;At RetailNext, we’re redefining the way retailers understand and optimize the in-store experience. As the leading in-store analytics platform, we help global brands make data-driven decisions to improve performance, enhance customer engagement, and thrive in an ever-evolving retail landscape.&lt;/p&gt;
&lt;p&gt;With a presence in over 90 countries and partnerships with some of the world’s most iconic brands, our team is passionate about combining cutting-edge technology with real-world insights to drive meaningful impact.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;What’s It Like to Work Here?&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Remote-First Hybrid: Work anywhere.&lt;/li&gt;
&lt;li&gt;90-Day Work Anywhere: Work from anywhere for 90 days yearly.&lt;/li&gt;
&lt;li&gt;Autonomy &amp;amp; Growth: Flexible schedules, ownership, career investment.&lt;/li&gt;
&lt;li&gt;Customer Obsessed: Everything we do is for our clients.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Perks &amp;amp; Benefits&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Best Self Allowance: Annual stipend for personal growth.&lt;/li&gt;
&lt;li&gt;Recharge Days: Monthly company-wide day off.&lt;/li&gt;
&lt;li&gt;Career Growth: We invest in you.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;

Software Engineer (Computer Vision Engineer - Annotation / ML Deployment)