Remote Software engineering Jobs · C++

• Develop and maintain core framework and key software components for the Kraken trading engine.
• Improve site performance by designing and implementing low-latency and high-availability applications.
• Collaborate with cross-functional teams and contribute to product roadmap accomplishment.

Improve Firefox quality on Windows by developing fixes and improvements, enhancing the user experience for millions. Help develop and ship major new Firefox features on Windows. Work on cross-platform features and projects for platforms like macOS, Linux, and Android as needed.

• Own the end-to-end architecture of Decibel’s algorithmic trading system, including execution engine, strategy framework, and data pipelines.
• Translate high-level trading hypotheses into robust, production-ready execution logic.
• Working cross-functionally with trading, research, and risk to ensure the system supports strategy expansion.

Lead development through the entire product lifecycle from inception to delivery. Supervise the work of other team members including detailed code reviews. Drive technical design/architecture and champion coding standards and best practices.

Work on Proof of Concept (PoC) design and development to advance novel and exciting solutions. Communicate with customers on system requirements and propose innovative technical solutions. Support integration into customers systems.

• Lead the Video and Ads Engineering teams, focusing on people management and project delivery.
• Collaborate with engineering leads to improve code quality, reliability, and user experience.
• Drive the professional development of direct reports, offering coaching and mentorship.

• Define, implement, and document new security features.
• Analyze, fix, and test vulnerabilities in open source software.
• Audit and analyze source code for vulnerabilities.

Support the development and maintenance of software features. Work closely with experienced engineers, learning to follow technical specifications and best practices. Participate in fault analysis, investigate issues, review logs, and apply basic troubleshooting techniques.

• Shape the development of a cutting-edge data platform solutions.
• Prioritize, execute, and oversee core initiatives that drive innovation.
• Partner closely with data scientists and engineering leads to define features.

Design, develop, and optimize ML models for localization, including learned pose estimation, map-matching, and sensor fusion using camera, LiDAR, and radar data. Collaborate with robotics and mapping teams to integrate localization models into real-time autonomy stacks with strict performance requirements. Contribute to system design, documentation, best practices, and code reviews across ML and autonomy teams.