The Opportunity
As a founding member of the Platform Team, you will architect and build the software backbone of the company. The platform must operate across two domains: high-performance distributed computing for AI research (training, large-scale data ingestion, RL simulation) and real-time, resource-constrained execution on physical robot hardware.
This is a greenfield opportunity where you will make foundational architectural decisions that define how the system scales from prototype to production. You will bridge research and hardware, enabling state-of-the-art models to be trained efficiently and deployed reliably in the real world.
Your Responsibilities
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Architect and build a scalable software platform unifying research workflows (training, simulation) and production systems (real-time inference, data collection)
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Bridge research and hardware by building tooling that enables seamless transition from Python-based research environments to performant C++/Rust runtimes on robots
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Optimize critical system paths, including inference latency, distributed training throughput, and resource utilization
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Establish engineering foundations including CI/CD pipelines, build systems (Bazel), and containerization (Docker)
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Design and implement fault-tolerant systems for long-running experiments and safety-critical robotic operations
Technologies
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Python
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C++ (or Rust)
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Distributed systems and microservices
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gRPC / REST APIs
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Docker
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Bazel
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CI/CD systems
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AWS / GCP / Azure
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Kubernetes (nice to have)
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Slurm (nice to have)
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ROS2 / DDS (nice to have)
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Terraform / Ansible (nice to have)
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Simulation tools (Isaac Sim, MuJoCo) (nice to have)
Requirements
Must Have
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MS in Computer Science or a comparable technical field
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5+ years of experience shipping production software with ownership of large features from design to deployment
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Strong Python expertise (tooling and ML infrastructure)
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Strong proficiency in C++ (modern standards) or Rust
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Experience designing scalable software architectures (microservices, API design such as gRPC/REST, distributed systems)
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Strong engineering discipline (testing, code reviews, maintainable and modular code)
Nice to Have
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Experience building ML systems (PyTorch, MLOps, data pipelines, model deployment)
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Experience with Docker and Bazel in production environments
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Familiarity with robotics middleware (ROS2, DDS)
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Experience with cloud infrastructure (AWS, GCP, Azure) and Infrastructure-as-Code
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Experience with simulation environments (Isaac Sim, MuJoCo) for reinforcement learning
Benefits
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Competitive compensation package
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Various employee subsidies and perks, including public transportation and Wellpass
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Work with a world-class team in a flat hierarchy, with direct collaboration alongside the founders and engineering team
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Opportunity to make a real impact by working on cutting-edge robotics and AI systems
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Fast growth potential in a rapidly evolving company and industry
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International office environment with English as the official working language
Recruiting Process
Your recruiting partner for this role is Madhulika (she/her). You can expect a screening call and up to 4 rounds of interviews including an onsite visit to our office in Munich to meet with the team.
We hire across backgrounds, identities, and experiences, and we are committed to a workplace where everyone belongs. Discrimination has no place here.
If you need any accommodations during the recruiting process, just reach out to your recruiting partner.
