Software Engineer - Training/Inference (C++) at xAI

On-site - Palo Alto, CA

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The role focuses on building and optimizing a high-performance inference platform that serves Grok to millions of users. Responsibilities include designing scalable distributed infrastructure, improving latency and throughput, maintaining high uptime, accelerating inference engines, developing debugging tools, and advancing research in scalable compute and model-hardware co-design.

Salary

USD 180,000 - 440,000

Requirements

Skills

  • Deep low-level systems programming (C/C++ or Rust)
  • Experience with large-scale, high-concurrent production serving
  • Experience with GPU inference engines (vLLM, SGLang, Triton, TensorRT-LLM, etc.)
  • Strong background in system optimizations: batching, caching, load balancing, parallelism
  • Low-level inference optimizations: GPU kernels, code generation
  • Algorithmic inference optimizations: quantization, speculative decoding, distillation, low-precision numerics
  • Experience with testing, benchmarking, and reliability of inference services
  • Experience designing and implementing CI/CD infrastructure for inference

Responsibilities

  • Architect and implement scalable distributed infrastructure for model serving (load balancing, auto-scaling, batch scheduling, global KV cache)
  • Optimize latency and throughput of model inference under real production workloads
  • Build reliable, high-concurrency serving systems that serve billions of users with 100% uptime, 0% error rate, and excellent tail latency
  • Benchmark, fine-tune, and accelerate inference engines (including low-level GPU kernel work and code generation)
  • Develop custom tools to trace, replay, and fix issues across the full stack — from orchestration down to GPU kernels
  • Create robust CI/CD infrastructure for seamless endpoint deployment, image publishing, and inference engine updates
  • Accelerate research on scaling test-time compute, RL rollout, and model-hardware co-design for next-generation systems

Technologies

C/C++RustGPU inference engines (vLLM, SGLang, Triton, TensorRT-LLM)GPU kernelsCode generationCI/CD infrastructureLoad balancingAuto-scalingBatch schedulingGlobal KV cache

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