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About the Role
Gauss Labs is seeking a Staff or Senior Software Engineer to design, implement, release, and operate ML-based software systems for industrial customers, including semiconductor manufacturers. This role involves turning open-ended requirements into actionable plans, managing dependencies, and ensuring system reliability in production, collaborating with cross-functional teams globally.
Responsibilities
- 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
Requirements
- 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
Skills
- Python
- Java
- C/C++
- Go
- Rust
- MLflow
- Ray
- Kubeflow
- Kafka
- Flink
- Spark
- MongoDB
- PostgreSQL
- Kubernetes
Location
- Seoul
Work Type
- Full-time
Experience Level
- Staff
- Senior
- 8+ years
Education Level
- Bachelor's degree in Computer Science or related field
- Master's degree or PhD in Computer Science or related field
About the Company
- Gauss Labs builds ML-based software products for industrial customers, including semiconductor manufacturers.