FuriosaAI

4 months ago

Software Engineer, Kernel Programming Model

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Design and implement the PyTorch-Native Kernel Programming Model, tensor-level abstractions, and a virtual ISA to enable high-performance, native-extensions kernels within PyTorch. Build the kernel developer ecosystem with tools, specs, and reference implementations, while optimizing for low-latency execution and high programmability in a collaborative open-source context.

Location: Seoul

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•PyTorch-Native Kernel Programming Model: Design the integration layer and runtime environments that enable custom kernels to execute as native extensions within the PyTorch ecosystem.
•Tensor-Level Kernel Language: Develop high-level abstractions and programming models to enable efficient model integration and expressive tensor operations.
•Virtual ISA: Implement architectural abstractions that resolve performance bottlenecks through direct hardware control while maintaining high-level programmability.
•Kernel Developer Ecosystem: Build core programming tools, technical specifications, and reference implementations to enable seamless kernel development and community contributions.

Key Requirements

•Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.
•Experience in systems programming such as Rust, C++, or Go with a deep understanding of computer architecture, including ISA, SIMD, and memory hierarchies.
•Experience in designing and building clean, robust, and well-defined programming interfaces.
•Master’s or PhD degree in Computer Science or a related technical field, or equivalent practical experience (preferred).
•Experience in designing low-latency asynchronous execution models, kernel-level performance optimizations, or hardware-software co-design (preferred).

Experience:AIMachine learningOpen sourceSoftware

Education:Bachelor's

Skills:CommunicationProblem-solving

Tech Stack:RustC++GoPyTorchLLVMMLIR

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

4 months ago

Software Engineer, Kernel Programming Model

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Location: Seoul

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•PyTorch-Native Kernel Programming Model: Design the integration layer and runtime environments that enable custom kernels to execute as native extensions within the PyTorch ecosystem.
•Tensor-Level Kernel Language: Develop high-level abstractions and programming models to enable efficient model integration and expressive tensor operations.
•Virtual ISA: Implement architectural abstractions that resolve performance bottlenecks through direct hardware control while maintaining high-level programmability.
•Kernel Developer Ecosystem: Build core programming tools, technical specifications, and reference implementations to enable seamless kernel development and community contributions.

Key Requirements

•Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.
•Experience in systems programming such as Rust, C++, or Go with a deep understanding of computer architecture, including ISA, SIMD, and memory hierarchies.
•Experience in designing and building clean, robust, and well-defined programming interfaces.
•Master’s or PhD degree in Computer Science or a related technical field, or equivalent practical experience (preferred).
•Experience in designing low-latency asynchronous execution models, kernel-level performance optimizations, or hardware-software co-design (preferred).

Experience:AIMachine learningOpen sourceSoftware

Education:Bachelor's

Skills:CommunicationProblem-solving

Tech Stack:RustC++GoPyTorchLLVMMLIR

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