[Hiring] VP, Accelerated Computing & NVIDIA Strategic Alliance @WEKA

Role Description

We are seeking a Sr. Director of Accelerated Computing to lead the technical strategy and execution of high-impact technology alliances focused on AI and accelerated infrastructure. This role will own the end-to-end technical vision for “better together” solutions, ensuring deep integration across the AI infrastructure stack and delivering differentiated joint value propositions to enterprise and cloud customers. This is a high-visibility role at the forefront of accelerated computing and AI infrastructure partnerships, offering the opportunity to shape next-generation integrated solutions within one of the industry’s most dynamic ecosystems.

Key Responsibilities

• Technical Vision & Solution Architecture
  • Define and own the technical vision for end-to-end accelerated computing solutions in collaboration with strategic partners.
  • Architect integrated “better together” reference designs spanning GPUs, interconnects, storage, networking, and software layers.
  • Drive technical alignment across engineering, product management, field CTOs, and partner solution architects.
  • Ensure joint solutions are performance-optimized, validated, and ready for enterprise-scale deployment.
• AI Infrastructure Stack Leadership
  • Provide deep subject-matter expertise across the AI infrastructure stack, including:
    • Accelerated compute (GPUs, DPUs, CPU offload architectures)
    • High-performance storage architectures
    • High-speed networking (e.g., RDMA, InfiniBand, Ethernet fabrics)
    • AI/ML frameworks and data pipelines
  • Translate emerging AI workload requirements into joint architectural roadmaps.
  • Guide performance benchmarking, solution validation, and technical field enablement.
• Strategic Alliance Management
  • Lead the technical relationship for one or more high-profile partners, serving as executive-level technical counterpart.
  • Develop and execute joint technical roadmaps aligned with corporate strategy.
  • Coordinate co-development initiatives, reference architectures, solution briefs, and joint GTM readiness.
  • Represent the company in executive briefings, partner summits, and industry forums.
• Go-to-Market & Field Enablement
  • Partner with sales and marketing to articulate differentiated value of integrated solutions.
  • Support strategic customer engagements requiring architectural leadership.
  • Enable field teams with validated designs, performance data, and competitive positioning.
  • Contribute to thought leadership in AI infrastructure and accelerated computing.

Qualifications

• Technical B.S. degree in Computer Science, Electrical Engineering, or related discipline.
• 10+ years of experience in AI infrastructure, data center systems, storage, or networking.
• Demonstrated experience managing high-profile technical alliances with hyperscalers, semiconductor vendors, or infrastructure partners.
• Strong architectural understanding of the AI infrastructure stack (compute, storage, networking, software).
• Proven ability to define and drive cross-company technical roadmaps.
• Based in Silicon Valley / Bay Area, with ability to work closely with partner ecosystems.

Requirements

• Architecturally rigorous and systems-oriented thinker.
• Executive presence with the ability to influence both internal and external stakeholders.
• Comfortable operating at the intersection of engineering depth and strategic business impact.
• High ownership mindset with strong cross-functional collaboration skills.

Preferred

• Direct experience collaborating with NVIDIA on joint solutions, integrations, or co-engineering efforts.
• Deep proficiency in either enterprise storage architectures or high-performance networking technologies.
• Experience with large-scale AI training and inference environments.
• Prior experience in a senior technical leadership role.

Benefits

• Medical, Dental, Vision, Life insurance.
• 401(K) plan.
• Flexible Time Off (FTO).
• Sick time and leave of absence as per the FMLA and other relevant leave laws.