
10,000+ employees
🚀 Aerospace
Aerospace • Automotive • Manufacturing
Capgemini Engineering is the engineering and R&D services arm of Capgemini that partners with large companies to design, develop and manage products, systems and software. It combines digital engineering, AI, cloud and sustainability expertise to accelerate product development, intelligent-industry transformation and lifecycle management across complex industries.
🔥 16 minutes ago
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10,000+ employees
🚀 Aerospace
Aerospace • Automotive • Manufacturing
Capgemini Engineering is the engineering and R&D services arm of Capgemini that partners with large companies to design, develop and manage products, systems and software. It combines digital engineering, AI, cloud and sustainability expertise to accelerate product development, intelligent-industry transformation and lifecycle management across complex industries.
• Deliver integrated concept demonstrations for USV workflows such as mission execution monitoring, route execution support, vehicle health/status, operator oversight, and simulation-backed demonstrations. • Connect backend services to simulation, replay, and vessel-adjacent systems. • Develop Python services, adapters, and tooling to support concept development, data translation, automation, replay, and simulation hooks. • Implement and maintain real-time interfaces such as REST APIs, WebSockets, TCP/UDP communication paths, streaming pipelines, and pub/sub patterns. • Work within distributed architectures common to autonomy stacks, including Redis or Valkey, DDS, pub/sub buses, and other message-oriented systems.
• BS in Computer Science, Computer Engineering, Software Engineering, or equivalent professional experience. • Strong Python experience for backend services, tooling, networking, or automation. • Experience with backend system design and real-time integration patterns such as WebSockets, REST, TCP/UDP, streaming, or pub/sub. • Working knowledge of C++ for software integration, systems work, or performance-sensitive components. • Experience with Docker and Docker Compose; familiarity with Kubernetes is a plus. • Strong debugging skills across backend services, networking behavior, and distributed systems. • Ability to work across multiple layers of a software stack in support of integrated concepts and demonstrations.
• Paid Time Off • Paid Company Holidays • Medical, Dental & Vision Insurance • Optional HSA and FSA • Base and Voluntary Life Insurance • Short Term & Long-Term Disability Insurance • 401k Matching • Employee Assistance Program
Apply Now🔥 22 minutes ago
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