Job description

SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. About the Role 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. Responsibilities 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. Basic Qualifications Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or equivalent with 5-10 years of industry experience. Additional Qualifications Deep theoretical understanding of compiler fundamentals. Experience building and deploying software products. Experience with one or more deep learning frameworks (i.e. TensorFlow, PyTorch) is a plus. Experience with common compiler development practices and methodologies. Excitement about high-performance systems engineering and performance debugging. An appreciation for process and developing cross-disciplinary collaboration. Preferred Qualifications Experience with MLIR. Familiarity with machine learning models and frameworks. Familiarity with accelerated computing. Exposure to dataflow architectures. Base Salary Range: Base Pay Range $210,000 — $280,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

Requirements

Must-haves

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.
Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or equivalent with 5-10 years of industry experience.
Additional Qualifications
Deep theoretical understanding of compiler fundamentals.
Experience building and deploying software products.
Experience with common compiler development practices and methodologies.
Excitement about high-performance systems engineering and performance debugging.
An appreciation for process and developing cross-disciplinary collaboration.

Nice-to-haves

Experience with one or more deep learning frameworks (i.e. TensorFlow, PyTorch) is a plus.
Experience with MLIR.
Familiarity with machine learning models and frameworks.
Familiarity with accelerated computing.
Exposure to dataflow architectures.

Application prep

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Keywords to mirror

aimlmachine learning

Platform: greenhouse
Effort: quick

Benefits

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Dental

Vision