Gauss Labs

Industrial AI for semiconductor manufacturing optimization

Software Engineer - KR

Software EngineeringConfirmed live in the last 24 hours

Full-timeSeoul, South KoreaNo salary listed

About the Job

Requirements

A bachelor's degree in Computer Science or a related field is required.
At least 3 years of professional software development experience building reliable systems is required.
A strong foundation in data structures, algorithms, and core computer science principles, including operating systems, concurrency, databases, and networking, is required.
Proficiency in at least one programming language, such as Python, Java, C/C++, Go, or Rust, is required.
Experience delivering complex features and owning major production components or services end to end, from design and implementation through release and operation, is required.
Experience leading technical discussions and mentoring junior or mid-level engineers is required.
English writing and speaking skills sufficient to produce technical documentation, explain design decisions, and participate effectively in technical discussions with engineers are required.

Responsibilities

Own the design, implementation, release, and production operation of major software components and services.
Clarify requirements with Product, customer engagement, and AI science partners, and drive complex features to release with minimal oversight.
Coordinate interfaces and dependencies with partner engineers, communicate risks early, and resolve technical disagreements constructively.
Lead design reviews, contribute to architectural decisions, review code, and write technical documentation that other engineers can implement from.
Respond to production incidents in customer environments, diagnose root causes, and complete follow-up work.
Improve testing, continuous integration and continuous delivery (CI/CD), and release checks to catch defects before deployment.
Mentor junior and mid-level engineers through design, debugging, and code review.

Desired Qualifications

Experience with machine learning systems in production, such as MLflow, Ray, or Kubeflow.
Experience with event-streaming and data-processing systems, such as Kafka, Flink, or Spark.
Experience building services on large databases, such as MongoDB or PostgreSQL.
Experience with Kubernetes and container platforms, including on-premises or air-gapped deployment.
Experience in semiconductor manufacturing or industrial data.
A master's degree or PhD in Computer Science or a related field.

Gauss Labs is looking for a Software Engineer to join our Software Engineering and AI Platform organization in Seoul. We build ML-based software products for industrial customers, including semiconductor manufacturers.

In this role, you will own major software components and services throughout their lifecycle, from design and implementation through release and ongoing operation in production. You will clarify requirements, deliver complex features with minimal oversight, and keep the components you own reliable in production. You will lead technical discussions within the team, contribute to architecture and planning, and mentor junior and mid-level engineers. You will work with Software Engineers, AI Scientists, Product, and customer engagement teams in Seoul, Vancouver, and Palo Alto.

We are looking for a hands-on engineer who works independently, reasons from fundamentals, and helps the engineers around them improve.

Responsibilities

Own the design, implementation, release, and production operation of major software components and services

Clarify requirements with Product, customer engagement, and AI science partners, and drive complex features to release with minimal oversight

Coordinate interfaces and dependencies with partner engineers, communicate risks early, and resolve technical disagreements constructively

Lead design reviews, contribute to architectural decisions, review code, and write technical documentation that other engineers can implement from

Respond to production incidents in customer environments, diagnose root causes, and complete the follow-up work

Improve testing, CI/CD, and release checks to catch defects before deployment

Mentor junior and mid-level engineers through design, debugging, and code review

Basic Qualifications

Bachelor's degree in Computer Science or a related field

3+ years of professional software development, building reliable systems

Strong foundation in data structures, algorithms, and core CS principles (operating systems, concurrency, databases, networking)

Proficiency in at least one programming language, such as Python, Java, C/C++, Go, or Rust

Experience delivering complex features and taking end-to-end ownership of major production components or services, from design and implementation through release and operation.

Experience leading technical discussions and mentoring junior or mid-level engineers

English writing and speaking skills sufficient to produce technical documentation, explain design decisions, and participate effectively in technical discussions with engineers.

Preferred Qualifications

Experience with ML systems in production (for example, MLflow, Ray, Kubeflow)

Experience with event-streaming and data-processing systems (for example, Kafka, Flink, Spark)

Experience building services on large databases (for example, MongoDB, PostgreSQL)

Experience with Kubernetes and container platforms, including on-premises or air-gapped deployment

Experience in semiconductor manufacturing or industrial data

Master's degree or PhD in Computer Science or a related field

[Interview process]

Application review - Phone interview - Virtual onsite interview - VP interview/Core Value interview - CEO interview

About the Company

Gauss Labs

Industrial AI for semiconductor manufacturing optimization

Gauss Labs builds AI-powered software for manufacturing, with a focus on the semiconductor sector. Its products monitor and optimize factory processes by collecting machine-generated data from production lines and running AI models on scalable software infrastructure to detect anomalies, improve quality, and reduce downtime. The company differentiates itself through deep domain expertise in industrial AI, a leadership team with a background in enterprise ML and product development, and a cross‑border presence in Silicon Valley and Seoul to serve large manufacturing customers with enterprise-grade solutions. The goal is to make semiconductor factories more efficient and reliable by turning data into actionable insights and automated process improvements.

Company size: 51-200
Company stage: Late Stage VC
Total funding: $55M
Headquarters: Palo Alto, CA
Founded: 2020

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