software engineer

Space X
United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$220,000
Working hours
Regular working hours
Job source

Tech stack

Automation of Tests C++ (Programming Language) Computer Engineering Distributed Computing Environment Distributed Data Store Python (Programming Language) Language Modeling Performance Tuning Software Engineering Reinforcement Learning Pytorch Apache Spark
+4 more
Kubernetes Information Technology Low Latency Production Code

Job description

  • Design, build, and maintain large-scale distributed data pipelines that ingest, process, and annotate real-world and synthetic audio, so the training and evaluation systems get reliable, high-quality data
  • Build and optimize the distributed training infrastructure and software for speech-language models in JAX and PyTorch, including the systems that run supervised fine-tuning and reinforcement learning at scale
  • Build automated evaluation and testing systems that measure accuracy, audio quality, latency, and real-time performance, plus the experimentation infrastructure used to validate every model release
  • Integrate voice models into production applications and real-time services, write the technical specifications for spoken interactions, and own deployment from prototype to global scale with a focus on stability, low latency, and reliability
  • Profile and optimize system performance across training and inference, including throughput, latency, memory use, and compute efficiency

Requirements

  • Bachelor’s degree in computer science, software engineering, computer engineering, electrical engineering, or another engineering discipline
  • Experience writing production-quality code in Python, PyTorch, JAX, Rust, or C++
  • 2+ years of experience working with large scale voice related products, * Experience building and running large-scale distributed training and inference systems on Kubernetes
  • Expert-level Python, writing clean, efficient, production-quality code for large-scale systems
  • Experience implementing and optimizing model training and inference software in JAX or PyTorch
  • Experience building automated testing, evaluation, and A/B experimentation pipelines for production systems
  • Hands-on experience building distributed data processing systems with tools like Spark and Ray
  • A proactive, self-driven attitude and the ability to deliver in a fast-paced, high-caliber team

Benefits & conditions

$220,000 - $357,000 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.

About the company

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 help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including 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.

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