FuriosaAI

2 months ago

Software Engineer, Compiler (Front-end)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Design and implement the front-end pipeline to translate models from major deep learning frameworks into the compiler’s internal IR, develop graph-level optimizations, and evolve a tensor-level kernel language for FuriosaAI hardware. Collaborate across teams to ensure correctness and extensibility from model ingestion to user-facing language design.

Location: Seoul

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design and implement the front-end pipeline that transforms models from major deep learning frameworks such as PyTorch into the compiler's internal IR.
•Develop graph-level optimizations, including operator fusion, constant folding, shape inference, and layout transformations.
•Build extensible model ingestion structures that can accommodate new architectures such as LLM, VLA, and Multimodal models, and custom operators, while maintaining consistency and correctness.
•Design and evolve a tensor-level kernel language that exposes the capabilities of the internal IR and DSL through a consistent, well-abstracted user interface.
•Establish verification mechanisms to ensure correctness throughout the translation process.

Key Requirements

•Bachelor's degree in Computer Science, Mathematics, or a related field.
•Experience or familiarity with compilers, program transformation systems, or related infrastructure.
•Understanding of deep learning frameworks such as PyTorch, TensorFlow, and ONNX — and their model representations.
•Ability to abstract complex system constraints into consistent, user-friendly programming interfaces.
•Proficiency in Python and experience with at least one systems programming language such as Rust or C++.

Experience:AIDeep learningCompilers

Education:Bachelor's

Skills:Problem-solvingCollaborationCommunication

Tech Stack:PythonRustC++PyTorchTensorFlowONNXLLVMMLIR

Company Brief

FuriosaAI

Designs and develops data‑center AI inference accelerators (RNGD) and a full stack hardware‑software platform to deliver energy‑efficient, high‑performance AI compute for enterprise and cloud customers.

Industry: Hardware Devices

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: USD 500M to 1B

Funding: Series C

Headquarters: Seoul, South Korea

Founded: 2017

Glassdoor: 4.6

Website LinkedIn Glassdoor

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FuriosaAI

2 months ago

Software Engineer, Compiler (Front-end)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Seoul

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design and implement the front-end pipeline that transforms models from major deep learning frameworks such as PyTorch into the compiler's internal IR.
•Develop graph-level optimizations, including operator fusion, constant folding, shape inference, and layout transformations.
•Build extensible model ingestion structures that can accommodate new architectures such as LLM, VLA, and Multimodal models, and custom operators, while maintaining consistency and correctness.
•Design and evolve a tensor-level kernel language that exposes the capabilities of the internal IR and DSL through a consistent, well-abstracted user interface.
•Establish verification mechanisms to ensure correctness throughout the translation process.

Key Requirements

•Bachelor's degree in Computer Science, Mathematics, or a related field.
•Experience or familiarity with compilers, program transformation systems, or related infrastructure.
•Understanding of deep learning frameworks such as PyTorch, TensorFlow, and ONNX — and their model representations.
•Ability to abstract complex system constraints into consistent, user-friendly programming interfaces.
•Proficiency in Python and experience with at least one systems programming language such as Rust or C++.

Experience:AIDeep learningCompilers

Education:Bachelor's

Skills:Problem-solvingCollaborationCommunication

Tech Stack:PythonRustC++PyTorchTensorFlowONNXLLVMMLIR

Company Brief

FuriosaAI

Industry: Hardware Devices

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: USD 500M to 1B

Funding: Series C

Headquarters: Seoul, South Korea

Founded: 2017

Glassdoor: 4.6

Website LinkedIn Glassdoor