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Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. \nSpaceXSI is building Super Intelligence to understand the universe and help expand humanity’s knowledge and capabilities. We work across the full Super Intelligence stack: compute (Colossus supercomputers), models (Grok), and applications (Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X). We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.\nAbout the Role:\nWe are building the high-performance inference platform that serves Grok to millions of users every day with lightning speed and perfect reliability.\nAs a Member of Technical Staff - Inference, you will design and optimize large-scale model serving systems end-to-end. You will own everything from distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) to deep low-level optimizations (GPU kernels, quantization, speculative decoding, tail latency).\nThis is a high-impact role where your work directly determines how fast and reliably users interact with Grok at massive scale\nResponsibilities: \nArchitect and implement scalable distributed infrastructure for model serving (load balancing, auto-scaling, batch scheduling, global KV cache).\nOptimize latency and throughput of model inference under real production workloads.\nBuild reliable, high-concurrency serving systems that serve billions of users with 100% uptime, 0% error rate, and excellent tail latency.\nBenchmark, fine-tune, and accelerate inference engines (including low-level GPU kernel work and code generation).\nDevelop custom tools to trace, replay, and fix issues across the full stack - from orchestration down to GPU kernels.\nCreate robust CI/CD infrastructure for seamless endpoint deployment, image publishing, and inference engine updates.\nAccelerate research on scaling test-time compute, RL rollout, and model-hardware co-design for next-generation systems.\nBASIC QUALIFICATIONS:\nDeep low-level systems programming (C/C++ or Rust)\nExperience with large-scale, high-concurrent production serving.\nExperience with GPU inference engines (vLLM, SGLang, Triton, TensorRT-LLM, etc.).\nStrong background in system optimizations: batching, caching, load balancing, parallelism.\nLow-level inference optimizations: GPU kernels, code generation.\nAlgorithmic inference optimizations: quantization, speculative decoding, distillation, low-precision numerics.\nExperience with testing, benchmarking, and reliability of inference services.\nExperience designing and implementing CI/CD infrastructure for inference.\nCOMPENSATION AND BENEFITS:\n$180,000 - $440,000 USD\nBase salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.\nSpaceXAI is an equal opportunity employer. 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