ByteDance

2 days ago

Edge ML Software Engineer (System Modeling-PICO) - San Jose

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 32 minutes agoStatus: Live

Job Summary

Build transaction-level, bit-accurate and approximate timing/power models for edge NPU architectures to simulate CNN and Transformer workloads. Analyze compute, memory footprint, bandwidth, and operator-level latency, then partner with compiler and algorithm teams to optimize ML workloads for latency, memory, and power targets. Work on computer architecture and electronic system modeling using strong C/C++ and SystemC skills.

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Develop transaction-level models of edge NPU architectures with bit accuracy and approximate timing/power accuracy, modeling compute units, interconnects, memory hierarchies, and data movements.
•Simulate execution of representative ML workloads for both CNNs and Transformers.
•Analyze ML model compute intensity, memory footprint and bandwidth requirements, and operator-level latency.
•Build analytical performance and power models for ML accelerators.
•Collaborate with compiler and algorithm teams to optimize ML workloads for latency, memory, and power targets.

Key Requirements

•Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience.
•3+ years of industry experience in computer architecture and electronic system modeling.
•Strong understanding of computer architecture concepts including memory, cache, DMA, tiling, vectorization, and systolic arrays.
•Strong C/C++ and System C proficiency.
•5+ years of relevant industry experience (preferred), including analytical performance and power modeling for ML accelerators.

Experience:Computer architectureML acceleratorsEdge AI

Education:Bachelor's

Skills:CollaborationProblem-solvingAnalytical thinking

Tech Stack:C/C++SystemCCNNTransformersNPUML acceleratorsVectorizationSystolic arrayDMATiling

Company Brief

ByteDance

Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

ByteDance

2 days ago

Edge ML Software Engineer (System Modeling-PICO) - San Jose

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 32 minutes agoStatus: Live

Job Summary

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Develop transaction-level models of edge NPU architectures with bit accuracy and approximate timing/power accuracy, modeling compute units, interconnects, memory hierarchies, and data movements.
•Simulate execution of representative ML workloads for both CNNs and Transformers.
•Analyze ML model compute intensity, memory footprint and bandwidth requirements, and operator-level latency.
•Build analytical performance and power models for ML accelerators.
•Collaborate with compiler and algorithm teams to optimize ML workloads for latency, memory, and power targets.

Key Requirements

•Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience.
•3+ years of industry experience in computer architecture and electronic system modeling.
•Strong understanding of computer architecture concepts including memory, cache, DMA, tiling, vectorization, and systolic arrays.
•Strong C/C++ and System C proficiency.
•5+ years of relevant industry experience (preferred), including analytical performance and power modeling for ML accelerators.

Experience:Computer architectureML acceleratorsEdge AI

Education:Bachelor's

Skills:CollaborationProblem-solvingAnalytical thinking

Tech Stack:C/C++SystemCCNNTransformersNPUML acceleratorsVectorizationSystolic arrayDMATiling

Company Brief

ByteDance

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn