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Software Engineer / Performance Optimization Engineer (Large-Scale ML Infrastructure)

Turing Inc.

Job Summary

About the Role This position is intended for software engineers who are passionate about building systems that execute computationally intensive workloads faster and more efficiently. At Turing, we are developing an end-to-end autonomous driving system that directly controls vehicles from onboard camera inputs. Autonomous driving systems require numerous compute-intensive workloads—including AI inference, model training, image processing, and sensor processing—to run in real time. As a Performance Optimization Engineer, you will be responsible for designing, implementing, and optimizing systems that maximize the efficiency of computational resources such as CPUs and GPUs. Rather than focusing solely on algorithm development, your mission is to identify and eliminate system-wide computational bottlenecks in order to execute the same workloads faster, with lower memory consumption, and lower latency. Responsibilities Improve computational efficiency for autonomous driving model training Optimize data loading and video decoding processes within model training pipelines Develop high-performance image processing pipelines leveraging CPUs and GPUs Tune system performance to improve memory utilization and throughput Analyze performance bottlenecks using profiling tools Design highly efficient systems utilizing parallel and distributed computing Improve the performance of large-scale data processing infrastructure Through these efforts, you will play a critical role in maximizing system scalability and performance while enabling both faster development cycles and higher model quality. Rather than being constrained by existing frameworks, you will help design and evolve next-generation ML infrastructure from the ground up, pushing the boundaries of autonomous driving through engineering excellence.

Company Info

Turing Inc. is a Japanese tech-startup company focused on the development of fully autonomous driving systems and the mass production of fully autonomous electric vehicles (EVs). The company's mission is to surpass Tesla and innovate the next generation of vehicles from Japan. Their core technology involves end-to-end deep learning for autonomous driving AI, which makes driving decisions (steering, braking, acceleration) using camera data. Turing Inc. also develops large-scale reinforcement learning environments and data generation systems to train multimodal AI agents. The company was co-founded by Issei Yamamoto, known for developing the Shogi AI "Ponanza," and Shunsuke Aoki, an autonomous driving researcher.

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