AI Algorithm Engineer

Job Description

AI Algorithm Engineer VINNOVATION INC
• Los Angeles, CA, US

AI Algorithm Engineer

Hybrid/Remote Mostly

Full-time

Negotiable

• Core AI Module Development
  Deeply participate in the architecture design, feature development, unit testing, and continuous maintenance of C++ core components within AI training and inference systems.
  Ensure high performance and reliability in large-scale engineering environments.
• Performance Analysis & System Optimization
  Collaborate with the team to identify performance bottlenecks in AI training/inference workflows.
  Optimize key paths such as operators, memory, and concurrency scheduling, solving performance challenges in real business scenarios.
• Hardware Acceleration & Low-Level Optimization
  Research and apply GPU acceleration technologies (CUDA / ROCm) or CPU SIMD/vector instruction sets.
  Integrate advanced computing optimization strategies into large-scale, computation-intensive tasks to improve training and inference performance.
• System Integration & Engineering Delivery
  Integrate optimized low-level modules into existing AI frameworks (e.g., search/recommendation systems, semantic model training frameworks).
  Participate in strict functional validation, stress testing, and performance evaluation.
• Cutting-Edge Technology Exploration
  Continuously track developments in system software, parallel computing, high-performance computing (HPC), and AI infrastructure.
  Work with the team to explore their feasibility and practical application in business scenarios.

• Bachelor’s degree or above in Computer Science, Software Engineering, Artificial Intelligence, Electrical Engineering, or related disciplines.

• Solid C/C++ fundamentals; familiar with modern C++ features (C++11/14/17/20) and good engineering practices / design patterns.
• Proficient in Linux/Unix development environments; capable of writing Shell scripts.
• Practical Python development skills for model experiments, tooling, data processing, and automated testing.

• Strong knowledge of data structures, algorithms, compilation, and performance tuning.
• Understanding of computer architecture, CPU/GPU parallel architectures, and OS scheduling principles.

• Strong passion and self-motivation in low-level technologies, AI infrastructure, and performance optimization.
• Excellent analytical, abstraction, and complex problem-solving abilities.

• Practical experience in C++ performance optimization: memory management, multithreading, lock optimization, cache-friendly programming, etc.
• Familiarity with GPU architecture; experience with CUDA / ROCm programming.
• Knowledge or experience in parallel computing (OpenMP, MPI, SIMD, distributed training, etc.).
• Experience with at least one deep learning framework (PyTorch / Tensor Flow), including operator development, model optimization, or inference engines.
• Experience in search, recommendation systems, embeddings, vector retrieval, or semantic models.

Bilingual ability in Chinese and English is required.

• Competitive salary and performance-based bonuses.
• Paid holidays and PTO.
• Snacks, drinks, and perks.
• Health, dental, and vision insurance.
• Annual exclusive perks.
• Opportunities for professional development and career advancement.
• Engage with cutting-edge gaming projects and contribute to the success of globally recognized titles.