1 день назад
Data Center Engineer (AI Infrastructure)
130 000 - 210 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Center Engineer (AI Infrastructure): Designing and operating high-density data center and hardware lab infrastructure for frontier AI inference platforms with an accent on power distribution, thermal constraints, physical deployment, and high-speed networking. Focus on architecting 90 kW-per-rack environments, scaling capacity 6–18 months ahead, and maintaining reliable hardware and facility operations.
Location: San Jose, California, United States; on-site and fully in-person. Relocation support is available for candidates moving to San Jose.
Salary: $130,000–$210,000 estimated base salary annually, plus equity
Company
builds custom chips, racks, software, and manufacturing infrastructure for high-throughput, low-latency AI inference.
What you will do
- Own rack layouts, capacity planning, power distribution, network design, cabling, and physical deployment across data centers and hardware labs.
- Design power, cooling, and redundancy architectures for high-density AI compute deployments reaching 90 kW per rack.
- Build and manage hardware labs for platform bring-up, EVT, and customer demonstrations.
- Architect 100G/200G/400G Ethernet networks connecting compute, storage, and upstream peering.
- Develop asset management, rack documentation, change control, monitoring, and alerting systems.
- Manage preventive maintenance, hardware lifecycles, vendor RMAs, physical security, and capacity planning.
Requirements
- 5+ years of hands-on data center engineering or operations experience.
- Direct experience with physical hardware deployment, power architecture, and facility management.
- Experience designing and deploying high-density compute environments at 20 kW per rack or above.
- Strong knowledge of structured cabling, fiber and copper plants, and high-speed networking hardware.
- Ability to interpret electrical one-line diagrams, raised-floor plans, hot-aisle/cold-aisle layouts, and co-location documentation.
- Experience with DCIM or monitoring tooling, vendor management, RFPs, facility evaluations, and SLA enforcement.
Nice to have
- Experience deploying custom or semi-custom server platforms and early-stage hardware.
- Knowledge of direct liquid cooling, rear-door heat exchangers, or immersion cooling.
- Experience with AI or HPC clusters, GPU or ASIC clusters, high-radix fabrics, or RDMA networking.
- Scripting and automation with Python, Bash, or Ansible.
- Experience in semiconductor or hardware startups.
Culture & Benefits
- Fully in-person engineering environment in San Jose with cross-disciplinary work spanning engineering and research.
- Medical, dental, and vision coverage, plus a $500 monthly credit for waiving medical benefits.
- $2,000 monthly housing subsidy for employees living within walking distance of the office.
- Relocation support, wellness benefits, and daily lunch and dinner at the office.
- Unlimited compute budget subject to ROI justification.
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