Sr Director, Software Engineer (AI Infrastructure)

Location: San Jose, California, United States; hybrid working environment with in-office and in-person expectations.

Salary: USD 266,050–396,000 per year, with the final offer based on location, qualifications, experience, and education.

Company

hirify.global provides intelligent data infrastructure, unified storage, integrated data services, and enterprise solutions for AI and multicloud workloads. DataPelago, acquired by hirify.global, is building an accelerated data-processing platform for AI and analytics in a focused, startup-style environment.

What you will do

• Own end-to-end engineering delivery from design and implementation through testing and production reliability.
• Provide technical leadership through design reviews and guidance on performance, scalability, security, system trade-offs, and accelerated computing.
• Translate product priorities and customer commitments into engineering plans with owners, milestones, dependencies, quality gates, and measurable outcomes.
• Build an execution culture focused on engineering velocity, transparent progress, timely decisions, and accountability.
• Recruit, coach, retain, and develop engineers and engineering leaders; define team structures, decision rights, and succession plans.
• Partner with product management, architects, solution architects, and customer-facing teams to turn requirements and field feedback into engineering priorities.

Requirements

• Proven record of designing and delivering sophisticated production software, with a foundation as a hands-on engineer, systems architect, or technical leader.
• Deep knowledge of hardware-software co-design, distributed systems, performance engineering, and large-scale data processing.
• Expertise in GPU computing and acceleration, including GPU architecture, parallel execution, memory and bandwidth trade-offs, profiling, and CUDA or comparable GPU stacks.
• Experience with AI model-processing frameworks such as PyTorch and TensorFlow.
• Experience with modern data and AI ecosystems, including vector processing, search, and graph technologies.
• Familiarity with AI accelerators such as TPU, IPU, and LPU.
• Track record of improving engineering delivery, software quality, operational reliability, and performance in complex products or platforms.
• Ability to make architectural and development decisions, delegate effectively, and empower engineers and managers.
• Strong communication, integrity, urgency, ownership, and ability to work in a fast-moving, evolving organization.

Nice to have

• Experience with storage or data platforms, AI infrastructure, or large-scale ML systems.
• Experience in both an entrepreneurial engineering environment and a scaled enterprise organization.

Culture & Benefits

• Startup-style ownership and pace combined with hirify.global’s global customer reach, resources, and enterprise relationships.
• Benefits may include health insurance, life insurance, retirement or pension plans, paid time off, leave options, performance-based incentives, employee stock purchase plans, and restricted stock units, subject to regional variations.
• Flexible working practices support professional and personal balance, with role-specific in-office expectations.
• hirify.global promotes initiative, impact, ownership, inclusion, and collaboration.

Hiring process

• Applications are reviewed only when submitted through the hirify.global company website; direct emails to employees, recruiters, or Human Resources do not influence the application.
• Some hiring stages for select roles may use AI tools to support, but not replace, human decision-making.