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Software Engineer (SoC Optimization)
給与
700〜1000万円/年※ 募集要項に記載のレンジ。実額は選考で決まります
- 勤務地
- 東京都
- 雇用形態
- 正社員
- 働き方
- 記載なし
- 年間休日
- 非公開
仕事内容その他職種
This position focuses on edge AI inference optimization and deployment optimization for autonomous driving systems. The role spans ML models, compilers, runtimes, and SoC/hardware to improve inference performance and deployment reliability. It also involves enabling new automotive SoC platforms and optimizing model deployment on new hardware.
Description
- This position is intended for software engineers with experience in edge AI inference optimization and deployment optimization.
- Work across the boundaries of ML models, compilers, runtimes, and SoC/hardware to enable stable and high-performance inference in automotive edge environments.
- Collaborate across ML and systems teams to optimize end-to-end inference performance and improve execution efficiency of ML models on automotive edge devices.
- Automate the entire model deployment workflow, including model conversion, quantization, build, and deployment, and maintain automated build environments and CI pipelines.
- Evaluate and bring up next-generation SoCs through exploratory development, and drive model deployment and performance optimization on new hardware platforms.
募集要項最終確認 9/10
- 雇用形態
- 正社員
- 想定年収
- 700〜1000万円/年
- 勤務地
- 東京都
- 働き方
- 記載なし
- 年間休日
- 非公開
- 職種
- その他職種
- 経験年数
- 不問
- 掲載日
- 9/10
- 最終確認
- 9/10
応募資格(必須)
- Hands-on experience implementing inference pipelines using SDKs such as NVIDIA TensorRT or similar inference acceleration frameworks.
- Experience analyzing and optimizing machine learning inference bottlenecks using profiling tools such as NVIDIA Nsight.
- Experience implementing custom operators and supporting PyTorch ↔ ONNX model conversion workflows.
- Knowledge of and practical experience with model optimization techniques such as quantization, pruning, or other inference acceleration methods.
- Experience with parallel programming using CUDA or equivalent GPU programming frameworks.
歓迎する経験
- Experience developing systems involving sensor fusion, LiDAR, SLAM, computer vision, or camera-based perception.
- Hands-on experience deploying and optimizing software on automotive SoCs, such as NVIDIA DRIVE Orin or similar autonomous driving platforms.
- Professional experience in the autonomous driving and/or robotics domains.
- A proven track record of contributions to open-source software (OSS) projects.
待遇・福利厚生
- AIツール利用
- All-hands social event subsidy
- Company resort facility (Tohshinkyou)
- PC支給
- Welfare rental housing service
- インフルエンザ予防接種
- ベビーシッター割引券
- 女性健康相談
- 社外相談機関提携
- 駐車場代補助制度
求めるスキル・経験
この求人はTURING株式会社の採用ページの掲載内容をもとに構成しています。応募条件の最新情報は募集元をご確認ください。
東京都のその他職種の求人2,706件
東京都のその他職種の求人をすべて見る(2,706件)募集元の採用ページから応募できます
応募はTURING株式会社の採用ページで受け付けています。このページは採用ページの掲載内容をもとに構成しているため、最新の応募条件は募集元でご確認ください。
この求人と近い条件で探す数字はリンク先ページの掲載件数
この職種で探す
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働き方・年収で探す
- 年収700万以上7,290
- 年収800万以上4,154
- フレックス19,265
- 完全週休2日30,512
- 年間休日120日以上27,828