百度Android Software Engineer（J93907）
As a pivotal member of the Copilot Team, you will bring unique perspectives and expertise to the organization, driving innovative features and delivering transformative AI-powered experiences:• This is an IC role, Coding / engineering design time >70%• Manage complex projects from conception to implementation, with a focus on delivering AI-driven user interfaces and performance-optimized applications.• Coordinate technical delivery through sprints, fostering collaboration throughout the project lifecycle.• Collaborate across geographies and time zones to establish best practices and develop automated processes that mitigate development risks.• Investigate and debug complex performance issues in applications, ensuring optimal user experience and system efficiency.• Design and implement performance testing strategies to proactively address bottlenecks.• Work closely with Product Designers, Product Managers, and Engineers to deliver AI-enhanced products that delight users.• Drive team-wide investments in infrastructure and foundational systems to support long-term technical roadmaps.• Solve technical challenges to deliver outstanding outcomes for customers and the business.
• Review, author, and optimize high-quality, extensible web and mobile code (React, React Native, Swift, Kotlin) to meet team standards for performance, security, testability, reliability, and maintainability. • Integrate automated static analysis (ESLint, SonarQube) and testing frameworks (Jest, XCTest) into the CI/CD pipeline, and provide timely, insightful code reviews to drive adherence to best practices and accelerate development. • Define and own the architecture and design of web and mobile features, producing clear design documents, trade-off analyses, and testability plans that ensure performance, scalability, reliability, security, and compliance across the entire stack. • Identify upstream and downstream dependencies, model system interactions, and collaborate with cross-functional teams to validate design hypotheses, integrate AI-driven testing strategies, and continuously improve test coverage, defect localization, and overall solution quality. • Lead security, privacy, and compliance excellence by embedding “security as code” invariants, implementing deployment gates and automated scanners, instrumenting telemetry and audit trails, conducting threat models and incident drills, and collaborating with cross-functional security partners to uphold global and local regulations. • Integrate end-to-end observability into web and mobile services by instrumenting comprehensive logging, telemetry, and real-time dashboards for performance, availability, and security; serve as the DRI on on-call rotations to swiftly diagnose and remediate incidents, drive root-cause postmortems, refine troubleshooting guides, and implement automated alerts and mitigations to continuously boost reliability and supportability. • Partner with product managers, privacy/security experts, technical leads, and customer-facing teams to elicit, validate, and prioritize user requirements for web and mobile solutions, embedding continuous feedback loops with quantitative metrics (usage patterns, performance) and qualitative indicators (accessibility, globalization), while championing end-user privacy and security throughout the development lifecycle.
Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced creative devices like Fire tablets, Fire TV, Amazon Echo and Echo Dot. What will you help us create? Work hard. Have fun. Make history. The Role: We are looking for a passionate, talented and inventive Audio Algorithm Software Engineer to join our team. We are open to hire in Shenzhen. In this role, you will: • Engage with an experienced cross-disciplinary staff to conceive and design innovative consumer products • Work closely with an internal inter-disciplinary team, and outside partners to drive key aspects of product definition, execution and test • Be responsive, flexible and able to succeed within an open collaborative peer environment