{"id":953344,"url":"https://alion.io/job/wandelbots-system-software-engineer-gn-cloud-simulation","title":"System Software Engineer (gn) Cloud & Simulation","company":{"id":51884,"name":"Wandelbots","domain":"wandelbots.com","url":"https://alion.io/company/wandelbots","size_band":"51-200","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Personio","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-24T05:45:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dresden, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":70000,"max_usd":165000,"period":"year","method":"role_country_seniority_unknown","sample_n":92},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Digital Twin","optional":false},{"name":"Gaussian Splatting","optional":false},{"name":"GitOps","optional":false},{"name":"Isaac Sim","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"NVIDIA Omniverse","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"WebRTC","optional":false},{"name":"NeRF","optional":true},{"name":"ROS2","optional":true},{"name":"Rust","optional":true},{"name":"Sim-to-Real","optional":true}],"status":"live","first_seen_at":"2026-09-15T09:12:33Z","employer_posted_date":"2026-09-15","last_verified_at":"2026-09-24T09:07:49Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Your mission\nAt Wandelbots, we are building NOVA, a platform that makes industrial robot programming accessible to everyone. Our Simulation team develops the technologies that allow partners, customers, and internal teams to work with photorealistic digital twins of real production environments.This includes a pipeline that transforms real-world scans into usable 3D scenes through Gaussian Splatting, as well as a browser-based streaming platform built on NVIDIAOmniverse and Isaac Sim. Both technologies work today, but neither is yet operated as a product. Your mission is to change that.\nThe first step is internal standardization. We want to replace individually maintained environments and hand-crafted deployments with one reproducible, documented solution that teams can use independently: scene in, session out, without requiring the Simulation team to operate every setup.\nThe second step is external productization. The same capabilities need to be packaged so that partners and customers can operate them in their own environments. \nE.g. with versioned releases, stable interfaces, tenant isolation, diagnostics, upgrade paths, and documentation.\nYou will join the Simulation team and focus on the infrastructure and operational foundations of these systems. You will not be building them in isolation: Wandelbots has an established infrastructure team responsible for shared infrastructure and platform capabilities. You will work closely with that team while owning the simulation-specific workloads, deployment patterns, and operational requirements.\nThis is a hands-on engineering role with room to shape architecture and make technical decisions in collaboration with the teams involved.\nWhat you will work on\nBuild and operate the GPU infrastructure required by our simulation workloads, including NVIDIAGPU Operator, device plugins, driver lifecycle, and GPU sharing through MIG or time slicing\n\nWork with the infrastructure team to integrate simulation workloads into our shared Kubernetes and cloud infrastructure\n\nMake deployments declarative and reproducible using Infrastructure as Code and GitOps, and help consolidate the tooling used across today’s environments\n\nOwn CI/CD and the container and image lifecycle for CUDA- and NGC-based workloads\n\nDesign scheduling and autoscaling for two distinct workload profiles: latency-sensitive interactive streaming sessions and compute-intensive Gaussian Splatting jobs\n\nTurn the Gaussian Splatting pipeline into a reproducible workflow, from data capture and training to OpenUSD assets\n\nOperate and extend our Omniverse and Isaac Sim streaming platform, including Kit App Streaming, session lifecycle, and tenant isolation\n\nEstablish the platform as an internal standard through self-service workflows, golden paths, templates, onboarding, and documentation\n\nPrepare the solution for operation by partners and customers through packaged deployments, versioned releases, upgrade paths, and actionable diagnostics\n\nSupport deployments across cloud, on-premises, and partner-managed environments\n\nBuild meaningful observability using metrics, logs, GPU telemetry, and actionable alerting\n\nDefine the simulation-specific security and access model, including ingress, TURN and STUN for WebRTC, RBAC, secrets management, SSO, and tenant boundaries\n\nWork closely with our robotics, product, and platform teams to ensure that the solution supports real development and customer workflows\n\nYour profile\nWe are looking for an engineer who is interested in how complex systems are built, deployed, and operated, not only in delivering the next application feature.\nYou should bring:\nExperience building or operating production systems in platform engineering, infrastructure, SRE, DevOps, or systems software\n\nPractical Kubernetes experience, including resource management, workload scheduling, and debugging distributed systems under load\n\nExperience with Infrastructure as Code, GitOps, and CI/CD, together with the ability to evaluate tools based on the problem rather than a fixed preference\n\nSolid knowledge of Linux, containers, and networking\n\nGood Python skills for automation, services, and data-processing workflows\n\nExperience with GPU workloads, or a strong technical foundation and clear interest in working with drivers, CUDA, and GPU scheduling\n\nThe ability to turn working technology into a system that other teams can use independently\n\nA strong sense of operational ownership, including documentation, diagnostics, maintainability, and reproducibility\n\nVery good English; German is a plus\n\nWe do not expect candidates to have prior experience with every technology in this description. A strong systems foundation, the ability to learn unfamiliar components, and an interest in this problem space are more important than matching every item. The scope and responsibilities of the role will grow with your experience.\nNice to have\nExperience turning an internally developed system into a product that can be operated in customer-controlled environments\n\nHands-on experience with NVIDIAOmniverse, Isaac Sim, Kit SDK, or OpenUSD\n\nExperience with Gaussian Splatting, NeRF, photogrammetry, or comparable 3D reconstruction pipelines\n\nKnowledge of WebRTC, pixel streaming, or other low-latency video technologies\n\nPython, Rust, or Go skills sufficient to contribute to existing services and infrastructure tooling\n\nExperience with robotics or simulation, such as ROS2 or sim-to-real workflows\n\nExperience with multi-tenant platforms, air-gapped deployments, or customer environments with specific security and compliance requirements\n\nWhy us?\nMake an impact!Work on an innovative, deep tech product that adds value to the robotics world and to society! Become a crucial part of something new, big and exciting where you can truly make an impact!\nOur teams inspire!\nCross-functional communication is key. You'll get to know many of your 100+ colleagues. Collaborate with great people on our international teams who value knowledge sharing and unique ways of doing things!\nBe authentic!\nWork in a value-driven environment where everything may not be perfect, but we're working on it! Your feedback is required while you receive feedback and appreciation for your work!\nHelp others!\nYou can have up to 3 days of volunteer time off to help your favorite charity.\nDevelop yourself!\nWe offer training and mental health opportunities so that you can develop both mentally and professionally.\nAnd there is even more!\nEnjoy our free lunch, snacks and drinks, team events, 30 days of annual vacation + additional rest during Christmas season until New Year. If your child gets sick, we assure that a 100% of your usual earnings will be paid while you take care of your little one.","description_format":"text","description_chars":6741,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Industrial Automation","Industrial Robotics","Robotic Software & Control Systems"],"lifecycle":[{"event":"open","at":"2026-09-16T02:55:17Z"}],"liveness":{"score":72,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.724,"p_room":1,"age_days":8,"expected_fill_days":43,"reasons":["conf:0","win:early"],"computed_at":"2026-09-24T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/wandelbots-system-software-engineer-gn-cloud-simulation","json_url":"https://alion.io/job/wandelbots-system-software-engineer-gn-cloud-simulation.json","meta":{"generated_at":"2026-09-24T13:50:02Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}