System Software Engineer (gn) Cloud & Simulation

About This Opportunity

We are representing a confidential robotics technology company based in Dresden that is building advanced simulation and digital twin capabilities for industrial applications. They are seeking a System Software Engineer to establish production-grade infrastructure for GPU-accelerated simulation workloads and browser-based streaming platforms.

This is a hands-on platform engineering role where you will transform working research technology into reproducible, self-service systems that internal teams, partners, and customers can operate independently. You will own the simulation-specific infrastructure while collaborating closely with the central platform team on shared capabilities.

Responsibilities

• Build and operate GPU infrastructure for simulation workloads, including NVIDIA GPU Operator, device plugins, driver lifecycle, and GPU sharing through MIG or time slicing
• Integrate simulation workloads into shared Kubernetes and cloud infrastructure in collaboration with the platform team
• Make deployments declarative and reproducible using Infrastructure as Code and GitOps practices
• Own CI/CD pipelines and container lifecycle for CUDA-based workloads
• Design scheduling and autoscaling for both latency-sensitive interactive streaming sessions and compute-intensive batch processing jobs
• Transform 3D reconstruction pipelines into reproducible workflows from data capture through asset generation
• Operate and extend simulation streaming platforms, including session lifecycle management and tenant isolation
• Establish internal platform standards through self-service workflows, templates, and comprehensive documentation
• Prepare solutions for operation in partner and customer environments with versioned releases, upgrade paths, and actionable diagnostics
• Support deployments across cloud, on-premises, and partner-managed infrastructure
• Build observability using metrics, logs, GPU telemetry, and alerting
• Define security and access models including ingress, WebRTC networking, RBAC, secrets management, and SSO
• Work cross-functionally with robotics, product, and platform teams to ensure the solution supports real development workflows

What We're Looking For

Required qualifications:

• Production experience in platform engineering, infrastructure, SRE, DevOps, or systems software
• Practical Kubernetes experience including resource management, workload scheduling, and debugging distributed systems under load
• Experience with Infrastructure as Code, GitOps, and CI/CD tooling
• Solid knowledge of Linux, containers, and networking fundamentals
• Strong Python skills for automation, services, and data-processing workflows
• Either hands-on experience with GPU workloads or a strong technical foundation with clear interest in working with drivers, CUDA, and GPU scheduling
• Ability to transform working technology into systems that teams can use independently
• Strong sense of operational ownership including documentation, diagnostics, maintainability, and reproducibility
• Very good English communication skills

Valuable additional experience:

• Turning internally developed systems into products that can be operated in customer-controlled environments
• Hands-on experience with NVIDIA Omniverse, Isaac Sim, Kit SDK, or OpenUSD
• Experience with Gaussian Splatting, NeRF, photogrammetry, or comparable 3D reconstruction pipelines
• Knowledge of WebRTC, pixel streaming, or other low-latency video technologies
• Python, Rust, or Go skills sufficient to contribute to existing services and infrastructure tooling
• Experience with robotics or simulation environments such as ROS 2 or sim-to-real workflows
• Experience with multi-tenant platforms, air-gapped deployments, or environments with specific security and compliance requirements
• German language skills

You do not need prior experience with every technology listed. A strong systems foundation, ability to learn unfamiliar components, and genuine interest in this problem space are more important than matching every requirement.

How We Work With You

Our talent team at Get A Job.ai partners with innovative technology companies to connect them with exceptional engineering candidates. When you apply through our platform, a recruiter will review your background and conduct an initial screening conversation. If there's a strong match, we will submit your profile to our client for consideration. Please do not contact the client directly, as all applications must be coordinated through Get A Job.ai to be considered.

The position is based in Dresden with opportunities for hybrid work arrangements. This is a full-time role offering the chance to work on cutting-edge robotics simulation technology while building production systems that scale.

Equal Opportunity

Get A Job.ai is committed to creating a diverse and inclusive recruiting process. We welcome applications from candidates of all backgrounds and experiences.