{"id":454668,"url":"https://alion.io/job/bitdeer-senior-gpu-systems-fabric-engineer","title":"Senior GPU Systems & Fabric 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":32,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":139000,"max_usd":251000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":314},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"Bitcoin","optional":false},{"name":"CI/CD","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"HPC","optional":false},{"name":"InfiniBand","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"NCCL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-08-25T16:25:27Z","employer_posted_date":"2026-08-25","last_verified_at":"2026-10-17T22:57:19Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":53},"description":"Bitdeer is a world-leading technology company for AI and Bitcoin mining infrastructure.\nBitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers and building AI computational infrastructure to support the AI revolution. Bitdeer handles complex processes involved in computing such as equipment procurement, transport logistics, data center design and construction, equipment management, and daily operations. Bitdeer also offers advanced cloud capabilities to customers with high demand for artificial intelligence.\nHeadquartered in Singapore, Bitdeer has deployed data centers across multiple countries, including the United States, Norway, Bhutan, and Ethiopia.\nTo learn more, visit https://ir.bitdeer.com/\nPosition Overview\nWe are seeking a Senior GPU Systems & Fabric Engineer to serve as the critical bridge between our physical GPU/network infrastructure and the Kubernetes abstraction layer. You will be responsible for creating the high-performance 'hardware foundation' that makes AI-native cloud computing possible. This role requires deep expertise in Linux kernel internals, GPU architectures, and high-speed interconnects, as you will be tasked with transforming raw, bare-metal compute resources into scalable, resilient, and multi-tenant cloud primitives. You will drive the design of our fabric layer, ensuring that our AI workloads have the low-latency, high-bandwidth environment they require to perform at industry-leading speeds.\nKey Responsibilities\nArchitect and maintain integrations for NVIDIA/AMD GPU device plugins and Kubernetes Operators to expose hardware capabilities to the control plane.\nConfigure and optimize high-performance host networking stacks, including RDMA, SR-IOV, RoCEv2, and InfiniBand, ensuring line-rate throughput for distributed AI training.\nBuild and manage automated hardware remediation pipelines using DCGM telemetry to proactively identify, isolate, and reset degraded GPU/NIC components before they impact production jobs.\nImplement and manage sophisticated GPU slicing technologies (MIG, vGPU) to enable efficient multi-tenant inference workloads and maximize cluster utilization.\nProfile and tune kernel-level parameters, device drivers, and runtime libraries (CUDA, NCCL) to resolve bottlenecks and optimize containerized AI workloads.\nCollaborate with the Scheduling and Storage engineering teams to ensure topology-aware placement and efficient data movement across the fabric.\nDefine and enforce operational standards for bare-metal provisioning, BIOS/firmware updates, and OS hardening within the containerized environment.\nLead technical investigations into complex performance issues spanning hardware, fabric, and software, providing actionable architectural insights.\nMentor team members and drive documentation standards for our evolving AI hardware stack.\nQualifications\nBachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field.\n5+ years of systems engineering experience, with strong proficiency in Linux kernel internals, C, or Go.\nHands-on experience with GPU architectures (NVIDIA H100/A100), CUDA runtimes, and distributed networking (RDMA, InfiniBand).\nDeep understanding of containerized environments and Kubernetes device plugin architecture.\nProven track record of operating, debugging, and scaling bare-metal systems in large-scale production or HPC environments.\nFamiliarity with infrastructure automation (e.g., Terraform, Ansible, CI/CD pipelines) for managing hardware lifecycles.\nStrong problem-solving skills, with the ability to navigate ambiguous performance challenges at the intersection of hardware and software.\nExcellent communication skills, with a collaborative approach to working across infrastructure, scheduling, and reliability teams.\nExperience working in high-velocity, high-growth engineering environments is strongly preferred\n--------------------------------------------------------------------\nBitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.","description_format":"text","description_chars":4412,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cryptocurrencies","Mining & Staking","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-09-06T09:25:14Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 7","filings_12m":7,"filings_prev_12m":2,"green_card_filings_12m":0,"median_offered_wage_usd":152500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":1}],"liveness":{"score":22,"band":"cold","label":"Long shot","p_open":1,"p_active":0.612,"p_room":0.36,"age_days":52,"expected_fill_days":32,"reasons":["conf:2","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/bitdeer-senior-gpu-systems-fabric-engineer","json_url":"https://alion.io/job/bitdeer-senior-gpu-systems-fabric-engineer.json","meta":{"generated_at":"2026-10-17T23:42:11Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":2043,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":174995},"rest":"https://alion.io/mcp/rest/get_company?id=174995"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbitdeer-senior-gpu-systems-fabric-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fbitdeer-senior-gpu-systems-fabric-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fbitdeer-senior-gpu-systems-fabric-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/bitdeer-senior-gpu-systems-fabric-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbitdeer-senior-gpu-systems-fabric-engineer"}]}