
11 - 50 funcionários
🤖 Inteligência Artificial
🏢 Corporativo
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
A TensorWave é uma empresa de tecnologia de ponta que se especializa em fornecer uma infraestrutura escalável e otimizada para memória, impulsionada por aceleradores AMD para cargas de trabalho exigentes de inteligência artificial (IA). A empresa oferece soluções de nuvem bare-metal e de alto desempenho otimizadas para IA e computação de alto desempenho (HPC), garantindo baixa latência, excepcional tempo de atividade e segurança em nível empresarial. A infraestrutura da TensorWave é projetada para melhorar a eficiência do treinamento de modelos de IA e suporta respostas em tempo real para uma integração perfeita em ambientes de produção.
🕒 Agosto 23
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

11 - 50 funcionários
🤖 Inteligência Artificial
🏢 Corporativo
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
A TensorWave é uma empresa de tecnologia de ponta que se especializa em fornecer uma infraestrutura escalável e otimizada para memória, impulsionada por aceleradores AMD para cargas de trabalho exigentes de inteligência artificial (IA). A empresa oferece soluções de nuvem bare-metal e de alto desempenho otimizadas para IA e computação de alto desempenho (HPC), garantindo baixa latência, excepcional tempo de atividade e segurança em nível empresarial. A infraestrutura da TensorWave é projetada para melhorar a eficiência do treinamento de modelos de IA e suporta respostas em tempo real para uma integração perfeita em ambientes de produção.
• Maintain a single source of truth for total, committed, reserved, and available-to-sell capacity across every site and GPU generation. • Reconcile physical fleet inventory against logical and contracted allocations. • Standardize how capacity is defined, measured, and reported. • Own demand pipeline and track contracted ramp, steady-state consumption, expiries, renewal probability, and take-or-pay floors. • Define and publish sellable capacity by site, GPU type, and timeframe for Sales. • Partner with Sales and Deal Desk to validate deal feasibility and flag oversubscription risks and allocation conflicts. • Own the multi-year capacity strategy across Infrastructure Operations, Sales, Finance, and leadership. • Anticipate capacity constraints and drive decisions on deployments, reservations, and site expansion. • Own buffer and oversubscription policy with Operations and Finance. • Translate sales pipeline and contracted growth into a rolling capacity forecast. • Coordinate incoming racks, nodes, power, cooling, and network capacity with Infrastructure Operations, Global Operations, and supply chain. • Run the weekly capacity review and produce weekly capacity reports and dashboards. • Track committed versus available capacity with an auditable record of allocations and decisions. • Assess and elevate capacity planning processes, standards, and workflows. • Define and prioritize tooling requirements for capacity, inventory, and allocation systems, partnering with IT, Engineering, and vendors.
• 5+ years in capacity planning, supply and demand planning, S&OP, technical program management, or infrastructure operations, ideally in cloud, data center, or hardware-intensive environments. • Working knowledge of data center and compute infrastructure fundamentals: racks, power and cooling constraints, servers and GPUs, and networking, with the ability to reason about both physical and logical capacity. • Advanced modeling skills and comfort building forecasting and allocation models; strong data fluency (SQL and BI tools a plus). • A track record of working across Sales, Finance, and Operations, translating technical constraints into commercial guidance that others can act on. • Excellent written communication and the discipline to run a recurring operating cadence and produce clear, trusted reporting. • Experience in GPU cloud, HPC, hyperscale, colocation, or semiconductor capacity environments preferred. • Familiarity with Slurm and Kubernetes cluster capacity, GPU fleet management, and utilization metrics preferred. • Experience writing requirements for and standing up DCIM, capacity, or inventory tooling preferred. • Program management certification (PMP or equivalent) preferred. • Authorization to work in the United States is required.
• Stock Options • 100% paid Medical, Dental, and Vision insurance for Employees • Company Health Savings Account Contributions • 100% paid Short Term and Long Term Disability Insurance for Employees • Life and Voluntary Supplemental Insurance Options • Other Insurance Options, such as Pet & Legal Insurance • Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support • Flexible Spending Account • 401(k) • Employee Assistance Program • Flexible PTO • Paid Holidays • Parental Leave • Other In-Office Perks
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