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
