Backed by Lux.
About the role
Backed by top-tier investors and led by industry veterans, we’re scaling rapidly. We seek forward-thinking engineers and operators who thrive in a collaborative environment and excel at solving complex challenges from first principles. If you want to build infrastructure that fundamentally changes what the world can accomplish with AI, come join us! Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- The serving stack, end to end — bring up and adapt a modern inference framework (vLLM, SGLang, or similar) to run on Majestic hardware
- The runtime hot path — continuous batching, the scheduler, paged KV cache, and prefill/decode disaggregation
- Distributed inference at scale — tensor, pipeline, and expert parallelism across accelerators, wired into our collective communication library (CCL)
- The multi-modal pipeline — image, audio, and video preprocessing, encoder integration, and mixed-modality batching
- Inference-time techniques — speculative decoding, prefix caching, and structured decoding
- End-to-end performance — profile, benchmark, and hunt down bottlenecks across the full serving path, feeding findings back to the kernel, compiler, and hardware teams
More about this role
We’re a fast-moving, US-Israeli AI startup building next-generation infrastructure for the world’s most demanding AI workloads. Our mission is to accelerate the future of intelligence and make it ubiquitously accessible by delivering full stack custom AI servers optimized for large-scale inference and training.
Backed by top-tier investors and led by industry veterans, we’re scaling rapidly. We seek forward-thinking engineers and operators who thrive in a collaborative environment and excel at solving complex challenges from first principles. If you want to build infrastructure that fundamentally changes what the world can accomplish with AI, come join us!
About the position
In this high-impact role, you are the bridge between cutting-edge custom silicon and production-grade AI. You will own the end-to-end LLM serving stack on Majestic hardware, architecting everything from serving APIs down to KV cache management, batching, and scheduling. Your primary mission is to port leading frameworks like vLLM and SGLang to our accelerator and optimize them for peak performance. Because our architecture offers memory headroom, you won't just match traditional GPUs; you will shatter their...
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