ML Tech Lead Manager: LLM/TPU Optimization & Leadership

Socket.dev; Sunnyvale (CA); On-site; USD 215,000 - 292,000; Full time

Benefits offered by this job

Equity

Benefits

Bonus target

Job summary

Socket.dev is seeking a Software Engineering Manager focused on ML/LLM systems to lead multiple teams, shaping strategy and delivery on Google Cloud. You will drive bring-up and performance tuning for LLM/Non-LLM workloads on TPUs, manage up to six engineers as a TLM, and guide model onboarding and optimization efforts across the org.

Responsibilities include implementing advanced sharding, TorchTPU support, disaggregated serving, RL inference, and close collaboration with ML research and

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of software development experience.
• 5 years of experience with one or more ML areas (speech/audio, reinforcement learning, ML infrastructure, or related field).
• 5 years of experience leading ML design and optimizing ML infrastructure (model deployment, evaluation, data processing, debugging, fine tuning).
• 3 years of experience in a technical leadership role.
• 2 years of experience in people management or team leadership.

Responsibilities

• Work with LLM/Non-LLM models bringup to performance tuning/optimization on Google Cloud TPUs. Manage up to 6 engineers to drive and deliver results as a TLM.
• Manage onboarding emerging open-weights models in industry.
• Drive performance optimization for massive-scale models by engineering advanced sharding strategies (2D/3D parallelism), developing custom Pallas kernels, and maximizing utilization across single-host and multi-host TPU.
• Design and implement key features such as TorchTPU support, disaggregated serving, RL inference, etc.
• Collaborate with the ML research, ML performance, model optimization tooling, and other optimization teams. Participate in ML Perf Inference submissions.

Skills

Software development

ML design leadership

Technical leadership

People management

Cross-functional collaboration

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in Engineering/CS or related field

Job description

Socket.dev is seeking a Software Engineering Manager focused on ML/LLM systems to lead multiple teams, shaping strategy and delivery on Google Cloud. You will drive bring-up and performance tuning for LLM/Non-LLM workloads on TPUs, manage up to six engineers as a TLM, and guide model onboarding and optimization efforts across the org.

Responsibilities include implementing advanced sharding, TorchTPU support, disaggregated serving, RL inference, and close collaboration with ML research and