S
SambaNova Systems
Compiler Architect
Skills
Deep LearningPyTorchTensorFlowMachine Learning
2 months ago
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Important information
Contract type:
Permanent
Salary:
$210,000 – $280,000 / year
Location:
San Jose, CA, USA
Work mode:
Onsite
Published on:
20 August 2026
What they need
- As a Compiler Architect you will be responsible for working with the different layers of the compiler stack and coordinating with other development teams here at SambaNova
- It is a critical role responsible for driving innovation in compiler infrastructure and optimization algorithms that enable state-of-the-art ML model performance on the SambaNova platform
- This can involve anything from digging through PyTorch and machine learning models to determining how to map operations on to our underlying hardware
- Lead compiler engineering through ensuring standard methodologies, enterprise product insertion and process evolution
- Work with peers, domain experts, developers, customers, and work across the enterprise seeking optimal solutions
- Develop, integrate, and implement products
- Provide support for proposals in key areas aligned with core team competencies
Benefits
- Flexible PTO in US
- Parental Leave
- Benefits (medical, dental and vision)
- Flexible Spending Accounts
- 401k/Pensions
- Gym Access
- Flexible Working Hours- Experience with common compiler development practices and methodologies
- An appreciation for process and developing cross-disciplinary collaboration
- Deep theoretical understanding of compiler fundamentals
- Experience building and deploying software products
- Excitement about high-performance systems engineering and performance debugging
- Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or equivalent with 5-10 years of industry experience
- Experience with one or more deep learning frameworks (i.e. TensorFlow, PyTorch) is a plus
- Familiarity with machine learning models and frameworks
- Familiarity with accelerated computing
- Exposure to dataflow architectures
- Experience with MLIR
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