Research Engineer, AI Models

Über diese Stelle

<p><strong><span data-contrast="auto">Research Engineer, Applied AI</span></strong><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></p> <p><strong><span data-contrast="auto">Location:</span></strong><span data-contrast="auto"> Germany</span></p> <p><strong><span data-contrast="auto">About EnCharge AI:</span></strong><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></p> <p><span data-contrast="auto">EnCharge AI is building the next generation AI platform. Our novel in-memory-computing architecture delivers a 10x step-function improvement in compute energy efficiency and performance for AI inference workloads. As the demands of artificial intelligence move beyond today's models, we believe fundamental underlying infrastructure must evolve. We are an experienced team of AI researchers, silicon & systems engineers, and architects backed by leading investors, poised to become the essential platform for the next wave of AI innovation.</span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></p> <p><strong><span data-contrast="auto">The Opportunity:</span></strong><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></p> <p><span data-contrast="auto">Modern AI workloads—from large language models to diffusion-based generators to multimodal systems—represent some of the most compute-intensive frontiers in AI, and some of the most promising applications for our hardware’s energy efficiency advantages. We’re building a vertically integrated AI stack that will showcase the transformative potential of our silicon while delivering real value to customers today.</span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></p> <p><span data-contrast="auto">We are seeking a Research Engineer to push the boundaries of AI model capability, quality, and efficiency. You’ll build fine-tuning and post training pipelines, develop rigorous benchmarking frameworks, and work at the intersection of ML research and hardware-aware optimization—ensuring our models run beautifully on our silicon.</span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></p> <p><span data-contrast="auto">This is a role for someone who thrives at the boundary between research and engineering. You’ll read papers, implement techniques, and ship production-quality code—all in service of making AI inference faster, cheaper, and better.</span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></p> <p><strong><span data-contrast="auto">Key Responsibilities:</span></strong><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="10" data-list-defn-props="{"335551671":2,"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1"><strong><span data-contrast="auto">Algorithmic Acceleration:</span></strong><span data-contrast="auto"> Research and implement state-of-the-art techniques to accelerate AI inference—quantization, sparsity, distillation, speculative decoding, caching strategies, and architectural modifications. Systematically characterize tradeoffs between model quality, latency, throughput, and power consumption to find optimal operating points across different use cases. </span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="10"…