Role at a glance
- Salary
- Not Disclosed
- Location
- Palo Alto, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
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Qualifications
Required: Experience building, debugging, and optimizing large-scale distributed systems; experience in LLM inference; proficiency in Python, C++, and/or Rust, and frameworks such as PyTorch, Jax, and CUDA; willingness to dive deep and solve problems at all levels of the stack.
Preferred
- Strong knowledge of quantization and numerics in LLM inference and training.
- Experience developing inference engines, such as SGLang or vLLM.
About the role
Original posting provided by xAI
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:
The RL infrastructure team is looking for an engineer to help with low precision RL training and inference.
RESPONSIBILITIES:
- Design and optimize our inference stack for all shapes of RL workloads at SpaceXAI, from small scale ablations to production training runs.
- Analyze, profile and address performance bottlenecks in large scale RL systems
- Work closely with the modelling team to efficiently implement novel RL techniques and algorithms
BASIC QUALIFICATIONS:
- Experience in building, debugging, and optimizing efficiency of large-scale distributed systems
- Experience in LLM inference
- Proficiency in programming languages such as Python, C++ and/or Rust; frameworks such as PyTorch, Jax, CUDA
- Willingness to dive deep and solve hardcore problems at all levels of the stack
PREFERRED SKILLS AND EXPERIENCE:
- Strong knowledge in quantization and numerics in LLM inference and training
- Experience in developing inference engines, e.g. SGLang, vLLM
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.
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.