Operate and optimize large-scale LLM pre-training on 1,000+ GPU clusters using PyTorch, DeepSpeed, or Megatron-LM. Improve networking (InfiniBand/RDMA), memory management, checkpointing, and failure recovery. Manage SLURM/Kubernetes GPU clusters and apply systems engineering (C++, CUDA, Python) and 3D parallelism techniques.
We are seeking a highly skilled LLM Pre-training & Distributed Systems Engineer. This role is essential for orchestrating large-scale machine learning training runs and optimizing distributed infrastructure. The ideal candidate will have a deep understanding of GPU clusters and extensive experience in system engineering to ensure efficient and reliable training processes.
Responsibilities:
- Orchestrate distributed training runs across 1,000+ GPUs using PyTorch, DeepSpeed, or Megatron-LM.
- Optimize networking (InfiniBand/RDMA) and memory management to prevent out-of-memory errors.
- Automate checkpointing and failure recovery during month-long training runs.
Required Skills:
- Deep expertise in 3D parallelism (Data, Tensor, Pipeline).
- Experience managing SLURM or Kubernetes-based GPU clusters.
- Strong systems engineering background (C++, CUDA, Python).
Similar Jobs
.png)
Fintech • Information Technology • Payments • Productivity • Software • Travel • Automation
Provide end-to-end venue sourcing and high-touch client liaison for events across the US. Build client and internal partnerships, negotiate venue terms, maximize revenue and ROI, maintain project documentation, generate leads, and continually update product knowledge through site visits and training.
Top Skills:
CventGoogle WorkspaceMS OfficeNavan Systems
Fintech • Information Technology • Payments • Productivity • Software • Travel • Automation
Support Event Planners as primary client liaison for multi-element, mid and large projects. Manage small meetings (10–15 guests), negotiate with venues, track contracts and commissions, assist with PNRs/WEX cards, maintain documentation, take meeting minutes, support invoicing/reconciliation, escalate upsell opportunities, and provide occasional onsite/travel support. Use Cvent and internal systems for delegate management.
Top Skills:
CventGoogle SuiteMS Office
HR Tech • Information Technology • Professional Services • Sales • Software
Lead U.S. product efforts for Time Off & Attendance, owning vision, strategy, roadmap, and execution. Partner cross-functionally with Engineering, Design, Payroll, Sales, and Customer Success to build compliant, scalable workforce management and payroll integrations. Use customer research and data to define metrics, iterate, and embed AI capabilities. Serve as founding U.S. PM and work closely with global teams.
Top Skills:
AI
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
