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このようなビジョンの実現に向けて、共に挑戦を推進していただけるエンジニアを募集しています。 当社のチームでは、互いの専門性を尊重し、高め合いながら成長できるカルチャーを大切にしています。 これまで培われたご経験・スキルを活かし、私たちとともに新たな価値創造に取り組んでいただける方をお待ちしております。 Our company aims to surpass USD 20 billion in revenue by 2035, expanding the potential of advanced semiconductor solutions. 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Design of analog blocks in close collaboration with digital and layout teams Design of analog circuits such as LDOs, bandgap references, charge pumps, pre-drivers, power FETs, and ADCs Use of simulation and verification tools for design and validation ※就業場所の変更の範囲、従事すべき業務の変更の範囲については、選考時に詳細をお伝えいたします。 Qualifications: 【MUST】 修士課程修了以上、または学士卒で1年以上の実務経験をお持ちの方 回路図エディタやSPICEシミュレータ（または同等のトランジスタレベル回路シミュレータ）、VirtuosoなどのCADツールの使用経験 CMOSプロセス技術およびデバイス物理特性に関する基礎的な理解 チームメンバーと円滑に協働できるコミュニケーション能力 【WANT】 車載製品またはアプリケーションの開発経験 IPD製品設計経験 Additional Information: 本ポジションにご興味をお持ちの方は、以下の連絡先までお気軽にご連絡ください。 If you are interested in this position, please feel free to contact us at the details below: Recruiter: Nichika Higa ( linkedin.com/in/nichika-higa-30aa45240 ) ルネサスは、「 To Make Our Lives Easier 」（人々の暮らしを楽“ラク”にする）というPurposeの下、組み込み半導体ソリューションを提供します。高品質とシステムレベルノウハウを兼ね備えた組み込み半導体のリーダーとして、自動車、産業、インフラ・IoT分野向けに、ハイパフォーマンスコンピューティング、組み込みプロセッシング、アナログ＆コネクティビティ、そしてパワーを含めた幅広い製品ポートフォリオを軸とした、スケーラブルで包括的なソリューションを提供しています。 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ハードウェア上で高度に最適化し、安全かつ省電力に実行可能な形式へ変換するプロセスに直接貢献いただきます。 ソフトウェアコンパイラ開発、AI モデルのロワリング／最適化、ハードウェア・ソフトウェア共設計の領域を横断し、マルチドメイン自動車アプリケーションに求められる業界競争力のある性能・効率・機能安全を Renesas SoC で実現する、技術的中核となる役割です。 【Job Description】 モデル入力から、グラフ最適化、ロワリング、コード生成、ランタイム統合までを含む AI コンパイラアーキテクチャの設計および技術リード オペレータ融合、量子化対応リライト、メモリ考慮型スケジューリング、パーティショニングなどの グラフレベル最適化の設計・実装 対象 NPU 向けの 性能最適化（タイル化、テンソルレイアウト設計、マルチコア実行戦略 等）の推進 SoC／AI アクセラレータアーキテクトと密に連携し、コンパイラ視点からハードウェア機能の方向性に影響を与える技術提案 シミュレータ、プロファイラ、シリコン相関モデルを活用した 実車載 AI ワークロードにおける性能 KPI の定義および評価 コンパイラ出力が **自動車要件（リアルタイム性、決定性、品質・安全基準）**を満たすことの保証 直接的なピープルマネジメントは伴わないものの、シニアエンジニアへのメンタリングおよび技術的方向性の提示 【Impact & Differentiators】 Renesas の Gen5 R-Car 自動車向け SoC ラインアップ（フラッグシップとなる 3nm デバイス R-Car X5H を含む）は、ADAS、IVI、ゲートウェイ、次世代 SDV ワークロードを 集中型プラットフォームで実行することを目的に設計された、業界初期の高度統合マルチドメイン自動車 SoC です。 これらのプラットフォームは、 数百 TOPS クラスの高い AI 演算性能 スケーラブルなチップレットベースのアクセラレーション 電動化・自動運転車に求められる優れた電力効率 厳格な機能安全要件への対応 といった特長を備えています。 AI コンパイラエンジニアは、最先端の AI モデルや計算カーネルを シリコン上に最適にマッピングすることで、このハードウェアビジョンを具現化し、性能向上、レイテンシおよび消費電力の削減、ソフトウェアエコシステムの採用加速に直接貢献します。 計算効率と安全性が極めて重要な自動車エコシステムにおいて、不可欠かつ高い影響力を持つポジションです。 資格: Must-Have コンピュータサイエンス、電気工学、または関連分野における 修士号／博士号（または同等の実務経験） AI コンパイラ、アクセラレータバックエンド、またはグラフ最適化フレームワークにおける深い開発経験 NPU／カスタムアクセラレータ向け グラフ最適化および性能最適化の高度な専門性 MLIR、LLVM、TVM 系フレームワーク、または独自コンパイラ IRの実務経験 優れた C/C++ および Python プログラミングスキル CNN、Transformer、認識モデル、生成モデルなどの AI 推論ワークロードへの理解 Scrum チームでのアジャイル開発経験など、高いコミュニケーション能力 Nice-to-Have 自動車分野または 安全クリティカルシステムに関する知見 CPU／GPU／DSP／NPU を含む ヘテロジニアス SoC のバックグラウンド 性能モデリングや ハードウェア・ソフトウェア共設計の経験 その他の情報: ルネサスは、「 To Make Our Lives Easier 」（人々の暮らしを楽“ラク”にする）というPurposeの下、組み込み半導体ソリューションを提供します。高品質とシステムレベルノウハウを兼ね備えた組み込み半導体のリーダーとして、自動車、産業、インフラ・IoT分野向けに、ハイパフォーマンスコンピューティング、組み込みプロセッシング、アナログ＆コネクティビティ、そしてパワーを含めた幅広い製品ポートフォリオを軸とした、スケーラブルで包括的なソリューションを提供しています。 ルネサスは、30か国以上で22,000 人を超える多様性あふれる従業員と共に、限界に挑戦しながら、デジタライゼーションを通じてユーザエクスペリエンスを充実化させ、新たなイノベーションの時代を切り開いていきます。そして世界中の人々やコミュニティの未来のために、持続可能で省エネ効果の高いソリューションの開発に全力で取り組み、「 To Make Our Lives Easier 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コンパイラ、アクセラレータバックエンド、またはグラフ最適化フレームワークにおける深い開発経験 NPU／カスタムアクセラレータ向け グラフ最適化および性能最適化の高度な専門性 MLIR、LLVM、TVM 系フレームワーク、または独自コンパイラ IRの実務経験 優れた C/C++ および Python プログラミングスキル CNN、Transformer、認識モデル、生成モデルなどの AI 推論ワークロードへの理解 Scrum チームでのアジャイル開発経験など、高いコミュニケーション能力 Nice-to-Have 自動車分野または 安全クリティカルシステムに関する知見 CPU／GPU／DSP／NPU を含む ヘテロジニアス SoC のバックグラウンド 性能モデリングや ハードウェア・ソフトウェア共設計の経験 その他の情報: ルネサスは、「 To Make Our Lives Easier 」（人々の暮らしを楽“ラク”にする）というPurposeの下、組み込み半導体ソリューションを提供します。高品質とシステムレベルノウハウを兼ね備えた組み込み半導体のリーダーとして、自動車、産業、インフラ・IoT分野向けに、ハイパフォーマンスコンピューティング、組み込みプロセッシング、アナログ＆コネクティビティ、そしてパワーを含めた幅広い製品ポートフォリオを軸とした、スケーラブルで包括的なソリューションを提供しています。 ルネサスは、30か国以上で22,000 人を超える多様性あふれる従業員と共に、限界に挑戦しながら、デジタライゼーションを通じてユーザエクスペリエンスを充実化させ、新たなイノベーションの時代を切り開いていきます。そして世界中の人々やコミュニティの未来のために、持続可能で省エネ効果の高いソリューションの開発に全力で取り組み、「 To Make Our Lives Easier 」を実現します。 ルネサスで実現できること キャリアをスタート、そしてキャリアアップ： 4つのプロダクトグループをはじめ、さまざまな部門において技術職として、また幅広いビジネスの経験を積むことができます。ハードウェア、ソフトウェアの専門知識を深めたり、新しいことにチャレンジしたりする機会があります。 やりがいとインパクトのある仕事をする： 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