Software Engineer

A Software Engineer at DOR is not simply someone who builds server APIs. You will work across Windows desktop apps, video processing, on-device AI/ML models, and product quality & performance optimization to turn technology into products that real users actually use.

• Develop and improve DOR's Windows desktop application end-to-end.
• Implement gameplay auto-recording, highlight detection, clip creation, and editing experiences as real product features.
• Optimize and tune on-device vision AI/ML models for the product environment.
• Improve the product considering not only accuracy but also latency, memory usage, CPU/GPU utilization, and stability.
• Create experiences that work reliably across diverse gaming environments and user PC configurations.
• Define problems based on data and user feedback (VOC), iterate quickly, and improve the product.
• Collaborate with the PO, Product Designer, and Data Analyst to solve problems and drive real changes in user metrics.

• DOR builds products that customers want, not products the CEO wants.
• We repeat problem definition, hypothesis, execution, measurement, and learning in short 1-2 week iterations.
• We build products with autonomy and accountability, based on data and user feedback.
• Engineers don't just implement given specs -- they define problems and create results.
• We build fast, validate fast, and adjust direction fast.
• We obsessively focus on raising both technical excellence and real user value.

We don't expect experience with every stack. However, we expect you to learn and pick things up quickly.

• 2+ years of software development experience
• Experience developing and shipping a product with real users
• Experience with Windows app or desktop application development
• Ability to build real products using TypeScript, Python, etc.
• Goes beyond simple feature implementation to think about product quality and user experience
• Experience improving products based on user feedback and data
• Tenacity to dig deep into difficult problems and solve them

• Able to work in San Francisco, CA / United States
• Experience with Electron-based Windows app development
• Experience tuning and deploying on-device ML/AI models in a production environment
• Experience applying Computer Vision or deep learning features to a product
• Experience optimizing not only model accuracy but also latency, memory, and CPU/GPU usage
• Experience with video processing, encoding, clip generation, and editing
• Experience developing with stability considerations across diverse hardware/OS environments
• Experience building and deploying web, app, or desktop products end-to-end
• Experience experimenting and iterating quickly in an agile environment
• Fluent in English communication
• Strong understanding of video editing, social media services, and Windows applications
• A gamer or someone with deep understanding of gamer behavior

• Someone who solves product problems, not just writes code
• Someone who values real user experience over model performance benchmarks
• Someone who doesn't stop at research but connects it end-to-end to the actual product
• Someone interested in building products that work reliably across diverse PC environments
• Someone who finds joy in transforming difficult technical problems into simple experiences for users
• Someone who wants to work on a team that rapidly executes and learns
• Someone who wants to build a product that gamers worldwide use every day

• Tell us what problems you solved in the products you've built and what impact you made.
• Share any experience connecting difficult technical problems to real user value.
• If you have experience with Windows apps, desktop apps, on-device inference, or model optimization, please describe it in detail.
• If you have quantifiable results such as accuracy improvements, performance optimization, or stability improvements, please include them.
• Share any problems you defined and solved on your own based on data and user feedback.
• Rather than listing work history and credentials, we'd love to see your motivation, thought process, actions, learnings, and outcomes.

The entire hiring process is completed within 7 days. During intensive hiring periods, we'll reach out quickly at each stage.