We are a rapidly growing embodied AI company revolutionizing human labor. Leveraging cutting-edge robotics and advanced artificial intelligence, we develop transformative technologies that redefine how work is done across multiple industries—empowering businesses to streamline operations, boost productivity, and unlock new possibilities.
Overview:We are looking for an innovative AI Infrastructure Engineer to design and optimize the systems that power machine learning models for our robotics platforms. In this role, you will build and maintain the infrastructure that supports the training, deployment, and scalability of AI-driven solutions. You’ll play a critical role in ensuring that our perception, planning, and decision-making algorithms perform efficiently in real-time, enabling precise manipulation and seamless operation of our robotics systems.
Your Responsibilities:Infrastructure:
Design and implement scalable AI pipelines for training, testing, and deploying machine learning models.
Build and maintain systems for large-scale data collection, processing, and storage.
Optimization:
Optimize infrastructure to ensure low-latency inference for real-time robotic applications.
Develop tools to monitor, debug, and optimize AI performance in production environments.
Collaborate with AI researchers and engineers to streamline the integration of machine learning models.
Utilize containerization and orchestration tools like Docker and Kubernetes to manage AI workloads.
Administration:
Work closely with robotics and software teams to align infrastructure with system requirements.
Ensure compatibility of AI systems with cloud platforms and on-premise deployments.
Document infrastructure architecture and provide guidance on best practices.
Education and Experience
Bachelor’s or Master’s degree in Computer Science from a reputable university, graduating with a GPA of 1.7 or better (German scale)
OR Minimum three years of fulltime working experience working with asynchronous, parallel ML serving framework such as Torchserve, vLLM, LMDeploy, NVIDIA Triton.
OR Extraordinary GitHub repository with at least 10 stars
Skills
Exeptional skills in programming languages such as Python, Go, or Java.
Strong knowledge of frameworks like TensorFlow, PyTorch, or ONNX.
Experience with distributed computing frameworks like Apache Spark or Dask.
Hands-on experience with cloud platforms such as AWS, GCP, or Azure.
Familiarity with MLOps tools like Kubeflow, MLflow, or Airflow.
Experience with data storage solutions like S3, HDFS, or PostgreSQL.
Strong understanding of containerization tools (Docker) and orchestration systems (Kubernetes).
Additional Skills / Nice to Have
Knowledge of robotics systems and real-time constraints is a plus.
Wellpass (gym membership)
Free meals at the workplace
Flexible working hours
A motivated team and an open corporate culture
Competitive compensation and excellent career development opportunities
Top Skills
What We Do
Sereact's mission is to drive your economic growth by closing automation gaps in your intralogistics. Our AI software enables machines to perceive their environment and develop solution strategies on their own, thus qualifying them to become autonomous skilled workers. By leveraging embodied AI for robotics, we ensure that our systems not only think but also physically interact with their surroundings in an intelligent manner.
Sereact's AI software for autonomous robotics fully automates pick-and-place processes, making them more efficient, reliable and resilient. Our goal is to optimize your supply chain with minimal integration effort to increase productivity in your warehouse from the first pick while significantly reducing costs.
