AlphaIgnis

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

🇩🇪 Munich, Німеччина На місці IT Повна зайнятість Старший спеціаліст Опубліковано Тра 28, 2026
Формат роботи На місці
Тип зайнятості Повна зайнятість
Рівень досвіду Старший спеціаліст
Категорія IT
IT-категорія Back End інженер
Мова English
Опубліковано 28 травня 2026 р.
Остання перевірка 28 травня 2026 р.
Контекст JobGrid

Огляд ролі від JobGrid

Senior Software Engineer - Robotics (F/M/D) at AlphaIgnis: Munich, Німеччина; На місці; Повна зайнятість; Старший спеціаліст; IT. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.

  • Location and workplace: Munich, Німеччина, На місці
  • Role classification: IT, Back End інженер, Повна зайнятість, Старший спеціаліст
  • Source freshness: checked by JobGrid on 2026-05-28.
  • Application path: candidates continue to the employer application page with non-personal referral tags.

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)