Principal Compiler Engineer - ML Systems
SambaNova Systems11 months ago
Responsibilities
- Lead compiler engineering, including standard methodologies, enterprise product insertion, and process evolution.
- Drive innovation in compiler infrastructure and optimization algorithms for ML model performance.
- Work across compiler-stack layers and determine how to map machine-learning operations onto underlying hardware.
- Collaborate with peers, domain experts, developers, customers, and cross-disciplinary enterprise teams.
- Develop, integrate, and implement products.
- Support proposals in areas aligned with core team competencies.
Requirements
- Bachelor’s or master’s degree in computer science, computer engineering, or equivalent experience.
- 5–10 years of industry experience.
- Deep theoretical understanding of compiler fundamentals and common compiler development practices.
- Experience building and deploying software products.
- Experience with high-performance systems engineering and performance debugging.
- Experience with TensorFlow or PyTorch is a plus.
- Preferred experience includes MLIR, machine-learning models and frameworks, accelerated computing, and dataflow architectures.
Benefits
- Base salary plus equity and benefits are included in the total rewards package, with 95% employee medical premium coverage and 77% dependent coverage.
- Benefits include an employer-contributed Health Savings Account, dental, vision, disability, life, AD&D, and Flexible Spending Account plans.
- Well-being benefits include Headspace, Gympass+ access to physical gyms, One Medical, counseling, and an Employee Assistance Program.
Tech Stack
PyTorchTensorFlow
Categories
About SambaNova Systems
SambaNova Systems builds full-stack AI infrastructure—custom accelerator chips, systems, and foundation models—delivered as on-prem appliances and cloud APIs for enterprises, governments, and data centers. Its offerings include the SambaNova Suite, Samba Cloud, and on-prem SambaStack, powered by its Reconfigurable Dataflow Unit (RDU) architecture, including the SN40L chip. Founded in 2017 and headquartered in San Jose, California, the company is privately held.