Performance Optimization Engineer
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Job Description
Performance Optimization Engineer building low-level C++ and Python networking systems. Optimizing algorithms, debugging concurrent execution, and validating scalable software performance.
Responsibilities:
- Design, implement, and maintain custom networking components, client-server models, and protocol resolvers including UDP/TCP, DNS, and socket communications
- Apply data structures, memory management, and graph search heuristics such as A*, custom hashing, and priority queues to solve performance and indexing challenges
- Develop and execute unit, integration, and stress tests to validate network state synchronization, catch edge cases, and eliminate execution bottlenecks
- Use GDB and Wireshark to trace memory leaks, analyze packet flow, and debug asynchronous multi-threaded or multi-client execution paths
- Partner with cross-functional teams to design modular codebases and maintain version control integrity across release cycles
Requirements:
- Bachelor of Science in Computer Science, Computer Engineering, or a related technical discipline
- Strong proficiency in C++ and Python
- Solid understanding of TCP/UDP networking principles, socket programming, caching mechanisms, operating systems, and computer architecture
- Hands-on experience with Linux/Bash, Git/GitHub, GDB, and Wireshark
- Proven command of object-oriented design, algorithmic complexity, recursive problem-solving, and concurrent state management
- GPA 3.5+ preferred
- Familiarity with C, C#, Java, SQL, or x86 Assembly is a plus
- Experience with SFML, Unity, or VR/AR engines is desirable
- Self-starter capable of managing end-to-end projects from requirement mapping to comprehensive testing
- Strong written and verbal communication skills for technical documentation and code reviews
Benefits:
- Remote work arrangement
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