製造エンジニア正社員——
ロボットシステムの製造プロセスを設計・最適化し、組立手順や作業指示書を作成します。設計エンジニアと連携してDFM/DFAのフィードバックを行い、新規プロセス用の治具やツールをゼロから開発します。プロトタイプから量産までの移行を主導し、RCCAやFMEAを通じて品質改善を推進します。製造KPIの追跡や、検査基準・テストプロトコルを含む品質管理システムの構築も担当します。
ロボットシステムの製造プロセスを設計・最適化し、組立手順や作業指示書を作成します。設計エンジニアと連携してDFM/DFAのフィードバックを行い、新規プロセス用の治具やツールをゼロから開発します。プロトタイプから量産までの移行を主導し、RCCAやFMEAを通じて品質改善を推進します。製造KPIの追跡や、検査基準・テストプロトコルを含む品質管理システムの構築も担当します。
Physical Intelligence is bringing general-purpose AI into the physical world. We are a team of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.
This role is part of the hardware team that designs and builds hardware platforms. There will be deep collaboration with the factory teams as well.
Design and optimize manufacturing processes for robotic systems, including assembly sequences, work instructions, and cycle-time improvements.
Collaborate with design engineers to provide DFM/DFA feedback and drive design iterations.
Develop fixtures, jigs, and tooling from the ground up for novel processes to ensure build quality and efficiency for complex robotic assemblies.
Establish and maintain Bills of Materials (BOMs), build instructions, assembly flow and all manufacturing documentation.
Lead the transition of robot designs at various levels of maturity from prototype, to pilot production, to eventually scale.
Conduct root-cause analysis (RCCA) and failure mode analysis (FMEA) to drive continuous improvement.
Define and track manufacturing KPIs including yield, throughput, and cost per unit.
Implement quality control systems including inspection criteria, test protocols, and acceptance standards.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.