
High Performance Algorithm Engineer
5 days ago
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We are seeking a highly skilled and innovative engineer to design, optimize, and deploy high-performance algorithms for mission-critical systems. You will collaborate with cross-functional teams to drive innovation in areas like real-time data processing, computer vision, and HPC.
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Key Responsibilities:
\\\\[style='list-style-type: disc;']\\\|[list]\\\\|\\\| Define and execute long-term strategy aligned with company vision and market opportunities.|\\\\|\\\| Develop efficient algorithms for specific applications like risk modeling, 3D rendering, and route optimization.|\\\\|\\\| Write robust, low-latency C++ code (C++17/20) for mission-critical systems.|\\\\|\\\| Profile, debug, and optimize algorithms for speed/memory efficiency on CPU/GPU/embedded platforms.|\\\\|\\\| Explore novel approaches to solve open-ended problems using ML/statistical/geometric techniques.|\\\\|\\\| Implement unit/benchmark tests to ensure correctness under edge cases.|\\\\|\\\| Collaborate with SWEs, data scientists, and product teams to integrate algorithms into production.|\\\\|\\\| Maintain clear technical specs and design docs.|\\\\]\\\[/list]\\\[/style]Technical Qualifications:
Mandatory Skills:
- [li]| Expertise in algorithm design (search/sort/graph/NP-hard problems) and complexity analysis.|\\\\|\\\| Proficiency with data structures (trees, graphs, hash tables) and memory management.|\\\\|\\\| Experience with multithreading, concurrency, and low-latency systems.|\\\\|\\\| Strong mathematical foundation (linear algebra, calculus, probability).|\\\\|\\\| Familiarity with performance tools (Valgrind, gprof, VTune).|\\\\]
Preferred Skills:
- [li]| Domain Knowledge:|\\\\|[list]\\\\|\\\| Fintech: Pricing models, quantitative finance.|\\\\|\\\| Gaming: Physics engines, pathfinding.|\\\\|\\\| HPC/Embedded: CUDA, OpenMP, ARM optimization.|\\\\]\\\[/list]|\\\\|\\\| Tools: Git, CMake, CI/CD pipelines, Docker.|\\\\|\\\| Bonus: Python/R for prototyping; exposure to ML frameworks (PyTorch/TensorFlow).|\\\\]
Experience & Education:
- [li]| Experience: 3–5+ years in algorithm-intensive roles (e.g., HFT, game engine dev, robotics).|\\\\|\\\| Education: BS/MS/PhD in Computer Science, Engineering, Math, or related field.|\\\\|\\\| Portfolio: Public GitHub repo or white papers demonstrating algorithm work (strongly preferred).|\\\\]
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