xAI

xAI

Posted via Greenhouse

Software Engineer - Training/Inference (C++)

Posted Aug 5, 2026

Role at a glance

Salary
$180K – $440K/yr
Location
Palo Alto, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
Experience with large-scale, high-concurrent production serving.

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Role Summary

AI-generated

The Member of Technical Staff - Inference will build and optimize the high-performance inference platform serving Grok to millions of users. The role spans distributed model-serving infrastructure and low-level GPU and inference-engine optimization, with work affecting the speed and reliability of user interactions.

What You'll Do

  • Architect and implement distributed model-serving infrastructure, including load balancing, auto-scaling, batch scheduling, and global...
  • Optimize model-inference latency and throughput under real production workloads.
  • Build high-concurrency serving systems with reliability and tail-latency targets.
  • Benchmark, fine-tune, and accelerate inference engines, including GPU kernel work and code generation.
  • Develop tools to trace, replay, and fix issues across orchestration and GPU kernels.
  • Create CI/CD infrastructure for endpoint deployment, image publishing, and inference-engine updates.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Deep low-level systems programming in C/C++ or Rust; experience with large-scale, high-concurrent production serving; experience with GPU inference engines such as vLLM, SGLang, Triton, and TensorRT-LLM; strong background in batching, caching, load balancing, and parallelism; experience with GPU kernels, code generation, quantization, speculative decoding, distillation, low-precision numerics, testing, benchmarking, inference-service reliability, and CI/CD infrastructure for inference.

Required

  • C/C++ or Rust
  • Large-scale, high-concurrent production serving
  • GPU inference engines, including vLLM, SGLang, Triton, or TensorRT-LLM
  • Batching, caching, load balancing, and parallelism
  • GPU kernels and code generation
  • Quantization, speculative decoding, distillation, and low-precision numerics
  • Testing, benchmarking, and reliability of inference services
  • CI/CD infrastructure for inference

Original job description

Content provided by the employer

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

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.

SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

xAI

About the company

xAI

Large Enterprise

xAI is a cutting-edge technology company focused on developing advanced artificial intelligence solutions to enhance human capabilities and optimize decision-making processes. Founded by a team of leading experts in AI and machine learning, xAI aims to address complex challenges across various industries, including healthcare, finance, and transportation. By prioritizing ethical AI development, the company is committed to creating innovative tools that empower organizations to harness the full potential of artificial intelligence while ensuring transparency and accountability.