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Trainee Software Engineer Training Jobs (NOW HIRING)

$100 - $130/hr

As a Software Engineer Level 2 or Level 3 at Independent Software, you will support the ... Expand your skills through ongoing training, mentorship, and career development * Enjoy competitive ...

As a Software Engineer Level 2 or Level 3 at Independent Software, you will support the ... Expand your skills through ongoing training, mentorship, and career development * Enjoy competitive ...

$140 - $190/hr

Minimum 1-2 years of software engineering experience, shipping and maintaining code in large ... Genuine curiosity about AI inference and training, and a drive to become an expert in the ...

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As of Sep 5, 2026, the average yearly pay for trainee software engineer training in the United States is $68,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $74,500.00 per year, depending on experience, location, and employer.

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Software Engineer - Training/Inference (C++)

SpaceXAI

Palo Alto, CA • On-site

$180K - $440K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 16 days ago


Key responsibilities

  • Design and implement scalable distributed infrastructure for model serving, including load balancing, auto-scaling, batch scheduling, and 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.


SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

16th of 72 rated aerospace companies


Job description

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.


What SpaceX employees say

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Benefits

Hours and flexibility

Workplace

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About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US