Autonomy Engineer

About the role

• 마스오토는 대형트럭 자율주행에 집중하는 스타트업입니다. 지금까지 국내 1위 200만km의 누적 자율주행 거리, 1,000만km의 대형트럭 실주행 데이터를 확보했습니다. 현재 한국과 미국에서 자율주행 트럭 15대를 운영하고 있습니다.
• 이 포지션은 차량에서 동작하는 전체 소프트웨어 스택에 깊이 관여할 수 있으며, 데모나 연구용이 아니라 한국과 미국에서 실제 화물을 운송하는 상용 Class-8 트럭에 자율주행 소프트웨어를 직접 배포할 수 있는 드문 기회입니다.
• 차량용 소프트웨어는 엄격한 compute, memory, power constraints 안에서 동작해야 하며, 소프트웨어 에러가 큰 사고로 이어질 수 있기 때문에 높은 신뢰성이 필수적입니다.

What you'll do

• Build and deploy real-time driving software that runs on production Class-8 trucks hauling freight daily in Korea and the United States
• Design systems that must operate continuously for hours at highway speeds under real-world conditions
• Run the entire autonomy stack on a resource-constrained onboard computer powered by the truck’s battery
• Build the on-vehicle system end-to-end, from sensors to controls
• Diagnose and resolve failures that occur during real-world operations
• Build and scale the data acquisition flywheel from trucks operating daily in production

Requirements

• You understand how computers actually work, including memory, threads, syscalls, caches, and hardware
• You can debug across the stack from Python down to kernel space
• You care deeply about performance, determinism, and reliability
• You are comfortable working close to hardware, including ARM, x86, and embedded systems
• You write clean, efficient C/C++ and Python

Preferred qualifications

• You have built systems that run continuously in production environments
• You have optimized systems under tight compute, memory, or power constraints
• You have debugged race conditions, memory corruption, or timing issues
• You have worked on embedded systems, robotics, or performance-critical infrastructure
• You have competitive programming experience, such as IOI, Topcoder, or Codeforces
• You have experience with CUDA or inference optimization

Benefits

• 출근 : 10~11시, 탄력적
• 근무지 : 역삼역 부근 (서울시 강남구 역삼로 17길 16)
• 연봉 : 2억원 이상
• 스톡옵션 지급

Hiring process

서류전형 ＞ 면접 ＞ 레퍼런스 체크 ＞ 최종합격