業務内容

• Break down high-level requirements into implementable requirements without over-constraining the software design
• Dive deep into Model Predictive Control, estimation, and control theory to negotiate implementation details
• Implement production C++ code
• Test C++ code and controller performance from unit tests to integrated simulation and vehicle tests

技術スタック

必須スキル

• Model Predictive Control (MPC) in practice
• C++ programming (production-grade, modern C++ practices)
• Strong understanding of vehicle dynamics, control, and estimation
• 3+ years in AD/ADAS or related robotics/control systems
• Education: Masters or PhD in Control Systems, Estimation, Robotics, or related field
• Ability to communicate design trade-offs and impact analysis
• Familiarity with AUTOSAR and other C++ guidelines (nice-to-have)

歓迎スキル（該当する場合）

• Japanese language skills
• Convex optimization and machine learning
• Experience developing software for mass production

キャリア成長観点

• End-to-end経験：研究段階から本番投入まで、安全 critical な自動運転/ADAS領域の実装まで携われる
• 専門性の深堀り：MPC・推定・制御理論といった領域で高度な技術力を実務に適用し、検証・妥当性評価を習得
• 影響力の拡大：設計トレードオフの意思決定を通じて、車両性能と信頼性に直接寄与
• 産業横断の協働：ソフトウェア開発基盤、検証・統合テスト、車両試験など多様な領域と連携し、キャリアの幅を広げられる