{"id":958697,"url":"https://alion.io/job/bitdeer-technologies-group-senior-ai-scheduling-orchestration-engineer","title":"Senior AI Scheduling & Orchestration Engineer","company":{"id":174995,"name":"Bitdeer Technologies Group","domain":"bitdeer.com","url":"https://alion.io/company/bitdeer","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":{"grade":"B","score":77,"open_postings":13,"ghost_share":0,"stale_share":0.923,"repost_share":0,"time_to_fill_p50_days":39,"computed_at":"2026-11-02T06:13:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":64000,"max_usd":141000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":28},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Bitcoin","optional":false},{"name":"HPC","optional":false},{"name":"InfiniBand","optional":false},{"name":"Kubernetes","optional":false},{"name":"MPI","optional":false},{"name":"NVLink","optional":false},{"name":"PyTorch","optional":false},{"name":"Ray","optional":false},{"name":"Terraform","optional":false},{"name":"C","optional":true}],"status":"live","first_seen_at":"2026-09-16T06:44:03Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-11-03T01:53:24Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":47},"description":"About Bitdeer:\nBitdeer is a world-leading technology company for Bitcoin mining and AI cloud.\nBitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers. Apart from designing industry-leading ASIC chips and manufacturing mining rigs, the Group handles complex processes involved in computing across the value chain. This includes equipment procurement, transport logistics, datacenter design and construction, equipment management, and network and facility operations. Bitdeer also offers advanced cloud capabilities to customers with a high demand for artificial intelligence.\nHeadquartered in Singapore, Bitdeer operates globally with a diversified 3 GW energy portfolio, and deploys Bitcoin mining and HPC datacenters in the United States, Bhutan, Norway, Canada, Malaysia, and Ethiopia.\nWhat you will be responsible for:\nDesign and implement advanced batch scheduling architectures using frameworks like Volcano or YuniKorn to support multi-node gang scheduling.\nDevelop and manage cluster-wide admission control and sophisticated job queueing mechanisms utilizing Kueue to manage high-volume AI workload traffic.\nLeverage Kubernetes Dynamic Resource Allocation (DRA) and custom scheduler plugins to manage complex accelerator requests natively.\nArchitect topology-aware pod placement strategies that optimize for low-latency communication via NVLink and InfiniBand fabrics.\nImplement automated GPU sharing technologies (e.g., MIG, time-slicing) and multi-tenancy isolation policies to maximize cluster-wide utilization.\nCollaborate with the GPU Systems and Storage teams to ensure the scheduling layer is tightly integrated with bare-metal hardware and storage I/O patterns.\nDrive the reliability and scalability of the scheduling stack, resolving resource contention and deadlock scenarios in large-scale HPC environments.\nMentor junior engineers and conduct design reviews to maintain architectural excellence in our orchestration layer.\nHow you will stand out:\nBachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.\n6+ years of distributed systems engineering, with deep, hands-on expertise in Kubernetes scheduling frameworks and orchestrators.\nExtensive experience with AI workload execution patterns and distributed training frameworks (e.g., PyTorch Distributed, Ray, MPI).\nProven track record of operating, debugging, and scaling scheduling stacks in high-performance computing (HPC) or large-scale production cloud environments.\nStrong knowledge of GPU hardware architectures and the specific scheduling challenges related to distributed AI training and inference.\nExperience with infrastructure automation and infrastructure-as-code (e.g., Terraform, Go-based Operators).\nExcellent technical communication and leadership skills; ability to influence cross-functional teams and align architectural goals.\nAbility to work in a high-velocity engineering environment and translate complex, ambiguous requirements into concrete, scalable engineering solutions.\nWhat you will experience working with us:\nA culture that values authenticity and diversity of thoughts and backgrounds;\nAn inclusive and respectable environment with open workspaces and exciting start-up spirit;\nFast-growing company with the chance to network with industrial pioneers and enthusiasts;\nAbility to contribute directly and make an impact on the future of the digital asset industry;\nInvolvement in new projects, developing processes/systems;\nPersonal accountability, autonomy, fast growth, and learning opportunities;\nAttractive welfare benefits and developmental opportunities such as training and mentoring.\n--------------------------------------------------------------------\nBitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. 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