Software Engineer - Training/Inference (C++)
- Status
- Open
- Remote policy
- Not stated
- Employment type
- Not stated
- Salary
- Not stated
- Categories
- Infrastructure
- Source
- xai
- First observed
- 2026-08-18 21:02 UTC
- Last seen
- 2026-10-13 05:08 UTC
- Source claims posted
- 2024-10-05 00:14 UTC
- Consecutive misses
- 0 of 3
What the posting says
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. 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.
SpaceXSI 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.
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 SpaceXSI, 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.
SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
Quality
- x Salary range stated weight 35%
- x Remote policy stated weight 20%
- + Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Based on 18 observation(s).
- + Days open - fineOpen for 55 days so far
- + Reopen count - fineNever reopened
- + Salary range removed after publication - fineSalary range has not been removed since publication
- + Salary range narrowed - fineSalary range has not narrowed since publication
- + Missing/reappear cycles - fineNo missing-then-reappeared cycles observed
Timeline
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#161948 2026-08-18 21:02 UTCPublished
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#167675 2026-08-19 01:02 UTCModified
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#231345 2026-08-21 04:27 UTCModified
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#557820 2026-09-03 21:32 UTCModified
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#963302 2026-09-24 06:03 UTCModified
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#1189391 2026-10-05 18:50 UTCModified
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#1295389 2026-10-12 13:22 UTCModified
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Description
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our...->SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where...
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#1311462 2026-10-13 01:08 UTCModified
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SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where...->SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where... -
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#1314436 2026-10-13 05:08 UTCModified
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SpaceXAI->SpaceXSI
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