About the Role

We are building the high-performance inference platform that serves Grok to millions of users every day with lightning speed and perfect reliability.

As 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).

This is a high-impact role where your work directly determines how fast and reliably users interact with Grok at massive scale.

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.

Basic Qualifications

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.

Compensation and Benefits

$180,000 - $440,000 USD

Base 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.

Requirements

C/C++ or Rust programming

Deep low-level systems programming experience is essential.

Large-scale production serving

Experience with high-concurrent production serving is required.

GPU inference engines

Familiarity with engines like vLLM, SGLang, Triton, and TensorRT-LLM is necessary.

System optimizations

A strong background in batching, caching, load balancing, and parallelism is needed.

Nice to Have

CI/CD infrastructure

Experience designing and implementing CI/CD infrastructure for inference is a plus.

Algorithmic optimizations

Knowledge of quantization, speculative decoding, and low-precision numerics is beneficial.

Benefits

Equity

Employees receive equity as part of the compensation package.

Comprehensive health coverage

Includes medical, vision, and dental insurance.

Retirement plan

Access to a 401(k) retirement plan is provided.

Disability insurance

Short & long-term disability insurance is included.