Technology & Strategy :
In more formal terms, we are a consulting firm specializing in engineering, IT and digital project management. We are an international company with a Franco-German DNA. Our 3,500 employees are of 45 different nationalities and are spread across 27 offices in 10 countries, including France, Germany, Switzerland, Belgium, the UK, Singapore, Hong Kong, Portugal, Egypt, and the Netherlands.
Job Description
Are you excited about building high-performance robotic systems that can perceive, learn, and act intelligently alongside humans? The team is creating new products and technologies that make this possible.
Our client's software team is seeking broad, curious engineers to join our diverse, full-stack team. In addition to holistically designing, building, and delivering end-to-end robotic systems, our team is responsible for the core infrastructure and tools that serve as the backbone of our robotic applications, enabling roboticists, machine learning scientists, and software engineers to collaborate and deploy systems in the lab and in the field. Our work spans real-time software, machine learning engineering, big data, simulation, and more.
Key Job Responsibilities
* Architect, design, and implement AWS deployment pipelines using CDK, CloudFormation, Lambda, and CI/CD automation.
* Troubleshoot and resolve production deployment issues with fast turnaround and high reliability.
* Design, build, and maintain data visualization platforms and Python packages for robotic system debugging and analytics.
* Work with stakeholders across hardware, science, and operations teams to iterate on systems design.
* Profile, tune, and optimize AWS infrastructure and system performance.
* Maintain high standards by participating in reviews and designing for fault tolerance and operational excellence.
Basic Qualifications
* Bachelor's Degree in Computer Science/Engineering, Mathematics, or equivalent.
* 3+ years of professional software development experience.
* Strong AWS infrastructure experience with CDK, Lambda, CloudFormation, and deployment automation pipelines. Proven track record of shipping production infrastructure with high reliability.
* Experience building data visualization platforms and proficiency with Python including package management.
* Experience contributing to architecture and design of scalable, reliable systems.
* Demonstrated ability to ship features on time with accurate estimation and work independently.
Preferred Qualifications
* Master's or PhD in Computer Science/Engineering, Mathematics, or equivalent.
* Experience with multi-account AWS architecture.
* Experience in robotics, computer vision, machine learning, real-time systems, or embedded systems.
* Experience building data pipelines, data lakes, or analytics platforms with Spark, EMR, Athena, or Grafana.
* Proven track record of consistent delivery velocity and proactive technical debt management.