Support development and validation of AI processing unit boards through electrical characterization, test-bench setup, Python automation, data analysis, ancillary board design, and day-to-day hardware lab operations.
Axelera jobs
Developer of AI processing units for efficient inference at the data source.
10 open roles at Axelera
Lead and build APAC marketing from the ground up, owning regional strategy, budget, full-funnel programs, localization, events, and pipeline impact across diverse markets.
Leads Americas sales operations across product logistics, customer onboarding, CRM processes, and revenue reporting, building reliable systems and forecasts that help the sales team deliver on customer commitments.
Senior/Staff AI Application Engineer - Heterogeneous Computing
Build and optimize the model enablement platform, deciding how AI models are partitioned and scheduled across AIPUs, host CPUs, and accelerators to improve end-to-end performance.
Own joint marketing with global customers and partners, building and executing co-marketing plans, campaigns, launches, and event programs that strengthen relationships and drive measurable pipeline.
Grow and support Axelera AIโs developer community by answering technical questions, creating accurate content, hosting events, advocating for product feedback, and encouraging adoption of its AI hardware and software.
Own new business and account growth across hyperscalers, neoclouds, enterprises, and frontier AI labs, leading complex technical sales from evaluation through capacity commitments and scaled deployment.
Guide customers through evaluation, adoption, and deployment of AI hardware, serving as their technical expert while coordinating with R&D, Sales, Marketing, and Product teams to resolve issues and improve the platform.
Integrate AI accelerator hardware into partner platforms, support manufacturing and production issue resolution, and qualify components and board revisions with ODMs, contract manufacturers, suppliers, and internal engineering teams.
Director - Hardware Engineering, AI Infrastructure Systems
Build and lead the AI Infrastructure Systems division, setting the hardware roadmap and delivering datacenter-class accelerator cards, modules, and rack systems from architecture through production.
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