Director, Accelerated Computing – NVIDIA Strategic Alliance

🕒 August 14

🏄 California – Remote

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⏰ Full Time

🔴 Lead

👔 Director

👻 Ghost score 19%

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Logo of WEKA

WEKA

201 - 500 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

🤝 B2B

💰 $140M Series E - WEKA on 2024-05

Artificial Intelligence • Enterprise • B2B

WEKA is an enterprise-focused company that provides an "AI-Native Data Platform." The available materials reference a WEKA support portal used for customer access and account management, indicating the company offers platform software and support for AI/data workloads aimed at business customers.

📋 Description

• Define and own the technical vision for end-to-end accelerated computing solutions with strategic partners • Architect integrated “better together” reference designs spanning GPUs, interconnects, storage, networking, and software • 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 • Provide subject-matter expertise across accelerated compute, high-performance storage, high-speed networking, AI/ML frameworks, and data pipelines • Translate emerging AI workload requirements into joint architectural roadmaps • Guide performance benchmarking, solution validation, and technical field enablement • Lead technical relationships with high-profile partners as an executive-level technical counterpart • Develop and execute joint technical roadmaps aligned with corporate strategy • Coordinate co-development initiatives, reference architectures, solution briefs, and joint go-to-market readiness • Represent WEKA in executive briefings, partner summits, and industry forums • Partner with sales and marketing to articulate the 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

🎯 Requirements

• 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, including compute, storage, networking, and 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 • Architecturally rigorous and systems-oriented mindset • Executive presence and ability to influence internal and external stakeholders • Comfort operating at the intersection of engineering depth and strategic business impact • High ownership mindset and strong cross-functional collaboration skills

🏖️ Benefits

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

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