Senior Software Engineer - Robotics (F/M/D)

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

• Architect and build a scalable software platform unifying research workflows (training, simulation) and production systems (real-time inference, data collection)
• Bridge research and hardware by building tooling that enables seamless transition from Python-based research environments to performant C++/Rust runtimes on robots
• Optimize critical system paths, including inference latency, distributed training throughput, and resource utilization
• Establish engineering foundations including CI/CD pipelines, build systems (Bazel), and containerization (Docker)
• Design and implement fault-tolerant systems for long-running experiments and safety-critical robotic operations

Technologies

• Python
• C++ (or Rust)
• Distributed systems and microservices
• gRPC / REST APIs
• Docker
• Bazel
• CI/CD systems
• AWS / GCP / Azure
• Kubernetes (nice to have)
• Slurm (nice to have)
• ROS2 / DDS (nice to have)
• Terraform / Ansible (nice to have)
• Simulation tools (Isaac Sim, MuJoCo) (nice to have)

Requirements

Must Have

• MS in Computer Science or a comparable technical field
• 5+ years of experience shipping production software with ownership of large features from design to deployment
• Strong Python expertise (tooling and ML infrastructure)
• Strong proficiency in C++ (modern standards) or Rust
• Experience designing scalable software architectures (microservices, API design such as gRPC/REST, distributed systems)
• Strong engineering discipline (testing, code reviews, maintainable and modular code)

Nice to Have

• Experience building ML systems (PyTorch, MLOps, data pipelines, model deployment)
• Experience with Docker and Bazel in production environments
• Familiarity with robotics middleware (ROS2, DDS)
• Experience with cloud infrastructure (AWS, GCP, Azure) and Infrastructure-as-Code
• Experience with simulation environments (Isaac Sim, MuJoCo) for reinforcement learning

Benefits

• Competitive compensation package
• Various employee subsidies and perks, including public transportation and wellness support
• Work with a world-class team in a flat hierarchy, with direct collaboration alongside the founders and engineering team
• Opportunity to make a real impact by working on cutting-edge robotics and AI systems
• Fast growth potential in a rapidly evolving company and industry
• International office environment with English as the official working language

Recruiting Process

Your recruiting pa...