Hardcore Engineer - Pre-training Infrastructure
xAI
Hardcore Engineer - Pre-training Infrastructure
Job Description
About xAI
xAI’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 engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
Tech Stack
- Python / Rust / C++
- Linux and POSIX
- JAX and XLA
- ibverbs, NVLink (NCCL)
- CUDA (C++ and Triton)
Location
The role is based in Palo Alto, CA. Candidates are expected to be located near the Bay Area or open to relocation.
Focus
- Design, build, and implement large-scale distributed training systems.
- Profiling, debugging, and optimizing multi-host GPU utilization.
- Hardware / Software / Algorithm co-design.
- Maintain and innovate on the codebase.
- Build tools to boost the productivity of the team.
Ideal Experiences
- Experience in configuring and troubleshooting operating systems for maximum performance.
- Built scalable training framework for AI models in HPC clusters, including but not limited to
- Scalable orchestration framework and tools
- Machine learning compilers and runtime such as XLA, MLIR, and Triton
- Distributed training strategies such as FSDP, Megatron, and pipeline parallelism
- NCCL or custom communication libraries for performant communication collectives
Interview Process
After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews:
- Coding assessment in a language of your choice.
- Systems hands-on: Demonstrate practical skills in a live problem-solving session.
- Project deep-dive: Present your past exceptional work to a small audience.
- Meet and greet with the wider team.
Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet.
Annual Salary Range
$180,000 - $440,000 USD
Benefits
Base salary is just one part of our total rewards package at xAI, 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.
xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
Locations
- Palo Alto, CA,
Salary
180,000 - 440,000 USD / yearly
Skills Required
- Python / Rust / C++intermediate
- Linux and POSIXintermediate
- JAX and XLAintermediate
- ibverbs, NVLink (NCCL)intermediate
- CUDA (C++ and Triton)intermediate
- configuring and troubleshooting operating systems for maximum performanceintermediate
- scalable training framework for AI models in HPC clustersintermediate
- scalable orchestration framework and toolsintermediate
- machine learning compilers and runtime such as XLA, MLIR, and Tritonintermediate
- distributed training strategies such as FSDP, Megatron, and pipeline parallelismintermediate
- NCCL or custom communication librariesintermediate
- strong communication skillsintermediate
- work ethic and strong prioritization skillsintermediate
Required Qualifications
- Experience in configuring and troubleshooting operating systems for maximum performance (experience)
- Built scalable training framework for AI models in HPC clusters, including but not limited to Scalable orchestration framework and tools, Machine learning compilers and runtime such as XLA, MLIR, and Triton, Distributed training strategies such as FSDP, Megatron, and pipeline parallelism, NCCL or custom communication libraries for performant communication collectives (experience)
Responsibilities
- Design, build, and implement large-scale distributed training systems
- Profiling, debugging, and optimizing multi-host GPU utilization
- Hardware / Software / Algorithm co-design
- Maintain and innovate on the codebase
- Build tools to boost the productivity of the team
Benefits
- general: equity
- general: comprehensive medical, vision, and dental coverage
- general: access to a 401(k) retirement plan
- general: short & long-term disability insurance
- general: life insurance
- general: various other discounts and perks
Tags & Categories
Answer 10 quick questions to check your fit for Hardcore Engineer - Pre-training Infrastructure @ xAI.
Hardcore Engineer - Pre-training Infrastructure
xAI
Hardcore Engineer - Pre-training Infrastructure
Job Description
About xAI
xAI’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 engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
Tech Stack
- Python / Rust / C++
- Linux and POSIX
- JAX and XLA
- ibverbs, NVLink (NCCL)
- CUDA (C++ and Triton)
Location
The role is based in Palo Alto, CA. Candidates are expected to be located near the Bay Area or open to relocation.
Focus
- Design, build, and implement large-scale distributed training systems.
- Profiling, debugging, and optimizing multi-host GPU utilization.
- Hardware / Software / Algorithm co-design.
- Maintain and innovate on the codebase.
- Build tools to boost the productivity of the team.
Ideal Experiences
- Experience in configuring and troubleshooting operating systems for maximum performance.
- Built scalable training framework for AI models in HPC clusters, including but not limited to
- Scalable orchestration framework and tools
- Machine learning compilers and runtime such as XLA, MLIR, and Triton
- Distributed training strategies such as FSDP, Megatron, and pipeline parallelism
- NCCL or custom communication libraries for performant communication collectives
Interview Process
After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews:
- Coding assessment in a language of your choice.
- Systems hands-on: Demonstrate practical skills in a live problem-solving session.
- Project deep-dive: Present your past exceptional work to a small audience.
- Meet and greet with the wider team.
Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet.
Annual Salary Range
$180,000 - $440,000 USD
Benefits
Base salary is just one part of our total rewards package at xAI, 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.
xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
Locations
- Palo Alto, CA,
Salary
180,000 - 440,000 USD / yearly
Skills Required
- Python / Rust / C++intermediate
- Linux and POSIXintermediate
- JAX and XLAintermediate
- ibverbs, NVLink (NCCL)intermediate
- CUDA (C++ and Triton)intermediate
- configuring and troubleshooting operating systems for maximum performanceintermediate
- scalable training framework for AI models in HPC clustersintermediate
- scalable orchestration framework and toolsintermediate
- machine learning compilers and runtime such as XLA, MLIR, and Tritonintermediate
- distributed training strategies such as FSDP, Megatron, and pipeline parallelismintermediate
- NCCL or custom communication librariesintermediate
- strong communication skillsintermediate
- work ethic and strong prioritization skillsintermediate
Required Qualifications
- Experience in configuring and troubleshooting operating systems for maximum performance (experience)
- Built scalable training framework for AI models in HPC clusters, including but not limited to Scalable orchestration framework and tools, Machine learning compilers and runtime such as XLA, MLIR, and Triton, Distributed training strategies such as FSDP, Megatron, and pipeline parallelism, NCCL or custom communication libraries for performant communication collectives (experience)
Responsibilities
- Design, build, and implement large-scale distributed training systems
- Profiling, debugging, and optimizing multi-host GPU utilization
- Hardware / Software / Algorithm co-design
- Maintain and innovate on the codebase
- Build tools to boost the productivity of the team
Benefits
- general: equity
- general: comprehensive medical, vision, and dental coverage
- general: access to a 401(k) retirement plan
- general: short & long-term disability insurance
- general: life insurance
- general: various other discounts and perks
Tags & Categories
Answer 10 quick questions to check your fit for Hardcore Engineer - Pre-training Infrastructure @ xAI.