Gauss Labs is looking for a Staff or Senior 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 software systems throughout their lifecycle, from design and implementation through release and ongoing operation in production. You will turn open-ended requirements into designs and delivery plans, resolve dependencies across teams, and keep the systems you own reliable in production. 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.
Own the design, implementation, release, and production operation of reliable, scalable software systems
Turn requirements from Product, customer engagement, and AI science partners into designs and delivery plans, and drive the resulting work to release
Lead delivery of changes that require work from other teams; agree on interfaces and dependencies, and resolve technical disagreements
Review designs and 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 engineers through design, debugging, and code review
Bachelor's degree in Computer Science or a related field
8+ years of professional software development, building scalable, reliable, high-performance systems
Experience owning a production system end-to-end through design, release, and operation
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
English writing and speaking skills, with the ability to produce technical documentation, clearly explain technical concepts, and lead technical discussions in English.
Track record of setting long-term technical direction that other teams adopted
Experience leading architecture and delivery across teams, including interface contracts and system migrations
Experience identifying recurring reliability or delivery problems and leading fixes across teams
Experience mentoring senior engineers to lead designs independently
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
