Job description

WEKA is transforming how organizations build, run, and scale AI and accelerated compute workflows with NeuralMesh™, our intelligent, adaptive mesh storage system. Purpose-built for AI, NeuralMesh becomes faster, stronger, and more efficient as workloads scale, maximizing GPU utilization, accelerating time to first token, and lowering the cost of innovation. A growth-stage company, backed by world-class venture capital investors and AI infrastructure leaders, WEKA has earned over 140 patents and is trusted by more than 30% of global Fortune 50 enterprises, as well as leading hyperscalers, AI clouds and agentic AI innovators. We are customer-obsessed and work accountably, boldly, and collaboratively to support their success. If this sounds like the kind of team you're looking for, join us! About The Role We are seeking a 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. The ideal candidate combines strong architectural depth in AI infrastructure (compute, storage, networking, and software) with demonstrated experience managing complex, high-profile alliances—ideally including direct collaboration with NVIDIA. 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 the 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 Required 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. Leadership Profile 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. How We Work: The WEKA Way We are Accountable: We take full ownership, always–even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards. We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation. We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and we communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and the results we achieve. Together, we’re unstoppable. We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win. USA Residents Only: The OTE range for this position which the Company reasonably and in good faith expects to pay for the position in the specified geographic areas or locations, is $270,000-325,000. Final compensation will be dependent on various factors relevant to the position and candidate such as geographical location, candidate qualifications, certifications, relevant job-related work experience, education, skillset and other relevant business and organizational factors, consistent with applicable law. In addition, the position may include some of the following comprehensive benefits such Medical, Dental, Vision, Life, 401(K), Flexible Time off (FTO), sick time, leave of absence as per the FMLA and other relevant leave laws. Concerned you don’t meet every qualification? Don’t let it stop you from applying! Studies have shown that traditionally underrepresented groups may be less likely to apply for jobs if they don’t meet every qualification specified. WEKA is committed to building a diverse, inclusive, and authentic workplace. If you are excited about this position but are concerned your past work experience doesn’t match up perfectly with the job description, we encourage you to apply anyway – you may be just the right candidate for this or other roles at WEKA. WEKA is an equal opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Requirements

Must-haves

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.

Nice-to-haves

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.
How We Work: The WEKA Way
We are Accountable: We take full ownership, always–even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.
We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlgo

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)