About the Role 

We are looking for a strong software engineer to join our System Software Team. This is a broad system software role for engineers who are comfortable working across architecture, implementation, debugging, and long-term maintainability.

The work spans core software components, system interfaces, runtime behavior, and reliability issues across large C++ codebases. This is not a narrowly scoped feature role. We want someone who can understand a complex system end-to-end, make sound engineering decisions, and turn ambiguous problems into robust, production-grade software.

Responsibilities

• Design, implement, and maintain high-performance system software and middleware in Modern C++ as part of core system development.
• Drive system optimization by tuning the Linux environment to ensure maximum throughput and ultra-low latency for real-time perception stacks.
• Ensure reliability and maintainability by investigating complex, non-trivial failures and driving root-cause resolution across interacting modules and subsystems.
• Promote engineering excellence by improving code quality, testability, and debuggability while raising the technical bar through sound technical judgment.
• Facilitate cross-boundary collaboration with perception, infra, and product teams to design robust interfaces and make practical engineering tradeoffs.

Qualifications

• Bachelor’s degree or higher in Computer Science, Computer Engineering, or a related field.
• At least 3+ years of related work experience with strong proficiency in Modern C++ with a deep understanding of multi-threading and concurrency.
• Demonstrate a mastery of Linux systems with an in-depth understanding of IPC, networking, and system calls, combined with expertise in profiling and performance analysis tools.
• Possess strong problem-solving skills with experience debugging complex system-level issues in production or production-like environments.
• Apply sound engineering judgment to turn ambiguous requirements into well-structured software with a strong bias toward ownership.
• Business English proficiency for collaboration in a multinational team.

Preferred Qualifications

• Experience with real-time systems or autonomous driving architectures.
• Experience with containerization and orchestration technologies.
• Experience improving code health and maintainability in large-scale, multi-module systems.
• Knowledge of high-performance communication frameworks and networking protocols.
• In-depth knowledge of build systems and integration with CI/CD pipelines.

Recruitment Process

Application Review - Recruiter Screening - Tech Interviews - CEO Screening - Offer    

(Please be aware that the recruitment processes & schedules may be changed depending on the job and/or other circumstances)

About the Role

Under the mission of "Making Robots Intelligent," Seoul Robotics is developing the world's best perception technology for autonomous driving. We are looking for talented software engineers who can design, implement, and productize technologies that precisely perceive the world by fusing data from various sensors such as LiDAR and cameras. You will develop and optimize algorithms that process vast amounts of LiDAR point clouds and high-resolution camera images in real-time using deep learning and various cutting-edge technologies.

Responsibilities

• Develop and implement 3D object detection, tracking, segmentation, and classification algorithms using LiDAR and camera data.
• Convert and integrate deep learning models developed in PyTorch, TensorFlow, etc., into C++ based high-performance inference engines.
• Profiling and optimization for real-time processing.
• Implement Sensor Fusion algorithms for autonomous driving systems.
• Build data pipelines.
• Verify algorithms through simulation.

Qualifications

• Bachelor’s degree or higher in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, or a related field.
• Proficiency in Python or Modern C++ (C++14/17 or higher) programming.
• Fundamental knowledge of computer science such as data structures, algorithms, and operating systems.
• Related mathematical knowledge such as linear algebra, probability and statistics, and geometry.
• Basic knowledge of machine learning and deep learning (CNN, PointNet, Transformer, etc.).
• Business English proficiency (Collaboration with a multinational team is essential).

Preferred Qualifications

• Experience in LiDAR point cloud processing or 3D computer vision projects.
• Experience implementing tracking algorithms using Kalman Filter, etc.
• Experience in parallel computing and acceleration using CUDA, TensorRT, etc.

Experience using Git, Docker, CMake, and Linux environments.

Recruitment Process

Application Review - Assignment - Tech Interviews - CEO Screening - Reference Check - Offer    

(Please be aware that the recruitment processes & schedules may be changed depending on the job and/or other circumstances)

About the Role 

As a Senior Software Engineer in the System SW, you will serve as the architect of our core software infrastructure—the critical layer that keeps the entire autonomy stack running. This is a high-impact role for technical leaders who are comfortable working across architecture, implementation, and long-term system health.

You will go beyond individual feature implementation to design scalable, robust, and high-performance system architectures. This is not a support role; you will make design decisions that affect the entire engineering organization, identify structural risks before they become recurring problems, and turn ambiguous technical challenges into robust software that scales across thousands of sensors and vehicles.

Responsibilities

• Design and lead the development of robust, scalable system-level software and middleware in Modern C++ to support complex autonomy and perception stacks.
• Own and evolve foundational infrastructure including process management, resource isolation, and runtime stability across our deployed platforms.
• Drive safety and reliability engineering by implementing fault detection, graceful degradation, and system-level testing to ensure continuous operation under stress.
• Design and maintain data pipeline and streaming infrastructure for the efficient transport and delivery of high-bandwidth sensor data at scale.
• Identify and resolve complex system-wide bottlenecks by leading profiling and optimization efforts for CPU, GPU, memory, and network utilization.
• Facilitate technical mentorship by leading code and design reviews, establishing best practices for C++ development, and raising the technical bar across the organization.
• Collaborate closely with Perception, Motion, and Infra teams to define and enforce clean system interfaces and make practical engineering tradeoffs

Qualifications

• Bachelor’s degree or higher in Computer Science, Computer Engineering, or a related field.
• At least 6+ years of experience with strong proficiency in Modern C++ with a deep understanding of multi-threading and concurrency.
• Demonstrate a mastery of Linux systems with an in-depth understanding of IPC, networking, and system calls, combined with expertise in profiling and performance analysis tools.
• Possess strong problem-solving skills with experience debugging complex system-level issues in production or production-like environments.
• Apply sound engineering judgment to turn ambiguous requirements into well-structured software with a strong bias toward ownership.
• Business English proficiency for collaboration in a multinational team.

Preferred Qualifications

• Experience with real-time systems, autonomous driving architectures, or safety-critical systems.
• Familiarity with high-performance middleware or shared memory IPC for low-latency system tuning.
• Experience in Hardware-Software Co-design or customizing Linux distributions for edge computing deployments.
• In-depth knowledge of build systems and scaling CI/CD pipelines to improve long-term code health and maintainability.
• Background in fault tolerance, watchdog design, or formal reliability practices in fast-moving product environments.

Recruitment Process

Application Review - Recruiter Screening - Tech Interviews - CEO Screening - Reference Check -Offer    

(Please be aware that the recruitment processes & schedules may be changed depending on the job and/or other circumstances)

아래의 직군으로 전문연구요원 및 산업기능요원(보충역) 지원 가능합니다.

산업기능요원은 보충역만 지원 가능합니다.

현재 지원 가능한 직무는 아래와 같습니다. 아래의 직무명을 클릭하면 상세 공고 페이지로 연결됩니다. 

Positions

• Machine Learning Engineer - Computer Vision & Perception

*** 상기 링크에서 직무 세부내용 확인 하시고, 현재 페이지(전문연, 산기요 공고)로 돌아오셔서 지원해주셔야 병역특례 대상자로 구분할 수 있습니다. 착오 없으시기 바랍니다.

About the Role

We are looking for an Autonomy Software Engineer to help build and scale core autonomy capabilities.

This is a product engineering role for people who enjoy shipping real systems: designing clean software, developing new features, improving reliability, and delivering measurable impact in real operations.

The role is open to both mid-level and senior candidates. Strong robotics/autonomous driving experience is a plus, not a strict requirement.

Why Join Us

• Work on autonomy software that controls individual vehicles and entire fleets in real-world deployment, where your decisions directly affect safety and performance.
• Collaborate with a strong cross-functional team solving practical, high-value problems
• Grow from hands-on execution to larger technical ownership over time

Responsibilities

• Build and improve core autonomy functionality in planning, control, and estimation pipelines
• Design, implement, and maintain robust C++ software for production use
• Translate product and operational needs into practical technical solutions
• Improve system reliability, performance, and maintainability across modules
• Investigate complex issues using logs, simulation, and operational data, then deliver durable fixes
• Develop test and validation workflows to support safe and confident releases
• Contribute to engineering quality through design reviews, code reviews, and better development practices

Required Qualifications

• Strong software engineering fundamentals and hands-on C++ development experience
• Experience building and maintaining complex systems in production environments
• Ability to debug ambiguous problems and drive them to resolution
• Experience writing clean, testable, maintainable code
• Strong collaboration and communication skills in cross-functional teams
• Ownership mindset and ability to deliver end-to-end results

Preferred Qualifications

• Robotics, autonomous driving, or other real-time/safety-critical system experience
• Practical understanding of planning, control, and/or state estimation systems
• Experience with simulation-based development and validation
• Experience with Linux-based development and CI/CD workflows
• Senior-level experience leading technical design, mentoring others, or owning large components

Leveling (Mid/Senior)

• Mid-level candidates are expected to own features/modules with guidance on architecture
• Senior candidates are expected to lead technical direction for major components and elevate team-wide engineering standards

Recruitment Process

Application Review - Recruiter Screening - Tech Interviews - CEO Screening - Reference Check - Offer    

(Please be aware that the recruitment processes & schedules may be changed depending on the job and/or other circumstances)

About the Role

Under the mission of "Making Robots Intelligent," Seoul Robotics is developing the best perception technology for autonomous driving. We are looking for talented software engineers who can design, implement, and productize technologies that precisely perceive the world by fusing data from various sensors such as LiDAR and cameras.

As a senior engineer, you will be expected to design a 3D perception pipeline that works robustly even in complex and unpredictable real-world situations, going beyond simple feature implementation. We are looking for someone who can solve various and challenging edge cases based on technical depth, from lightweighting deep learning models to synchronizing data from numerous sensors, and elevate the team's engineering standards to the next level.

Responsibilities

• Design and lead high-performance perception architectures utilizing numerous LiDAR/camera sensors.
• Research and productize (Prototyping to Production) the latest computer vision and deep learning papers (CVPR, ICCV, IROS, etc.).
• Advance multi-sensor fusion (LiDAR-LiDAR, LiDAR-Camera) algorithms and resolve complex edge cases.
• Lead code reviews and design reviews, and provide technical mentoring for junior engineers.
• Analyze system performance bottlenecks and establish optimization strategies utilizing various techniques including hardware acceleration (e.g., CUDA, TensorRT).
• Collaborate with product teams and other departments to define technical requirements and support roadmap establishment.

Qualifications

• Bachelor’s degree or higher in a related field with 5+ years of professional engineering experience (or equivalent Master’s/Ph.D. research experience).
• Experience in developing AI/ML-centric high-performance commercial software and deploying to production.
• Deep understanding of deep learning frameworks (PyTorch, etc.) and inference optimization.
• Expertise in 3D geometry, calibration, state estimation, SLAM, etc.
• Excellent problem-solving skills to debug and resolve complex system issues.
• Experience leading technical decision-making at a team level.
• Fluent English communication skills.

Preferred Qualifications

• Experience in full-stack autonomous driving development.
• Experience developing precise calibration algorithms between heterogeneous sensors.
• Experience optimizing deep learning models on embedded systems (e.g., NVIDIA Jetson).
• Experience contributing to open source projects or publishing papers in major conferences in related fields.

Recruitment Process

Application Review - Recruiter Screening - Tech Interviews - CEO Interview - Reference Check - Offer    

(Please be aware that the recruitment processes & schedules may be changed depending on the job and/or other circumstances)

About the Role

Under the mission of "Making Robots Intelligent," Seoul Robotics is developing the best perception technology for autonomous driving. We are looking for talented software engineers who can design, implement, and productize technologies that precisely perceive the world by fusing data from various sensors such as LiDAR and cameras.

As a senior engineer, you will be expected to design a 3D perception pipeline that works robustly even in complex and unpredictable real-world situations, going beyond simple feature implementation. We are looking for someone who can solve various and challenging edge cases based on technical depth, from lightweighting deep learning models to synchronizing data from numerous sensors, and elevate the team's engineering standards to the next level.

Responsibilities

• Design and lead high-performance perception architectures utilizing numerous LiDAR/camera sensors.
• Research and productize (Prototyping to Production) the latest computer vision and deep learning papers (CVPR, ICCV, IROS, etc.).
• Advance multi-sensor fusion (LiDAR-LiDAR, LiDAR-Camera) algorithms and resolve complex edge cases.
• Lead code reviews and design reviews, and provide technical mentoring for junior engineers.
• Analyze system performance bottlenecks and establish optimization strategies utilizing various techniques including hardware acceleration (e.g., CUDA, TensorRT).
• Collaborate with product teams and other departments to define technical requirements and support roadmap establishment.

Qualifications

• Bachelor’s degree or higher in a related field with 5+ years of professional engineering experience (or equivalent Master’s/Ph.D. research experience).
• Experience in developing AI/ML-centric high-performance commercial software and deploying to production.
• Deep understanding of deep learning frameworks (PyTorch, etc.) and inference optimization.
• Expertise in 3D geometry, calibration, state estimation, SLAM, etc.
• Excellent problem-solving skills to debug and resolve complex system issues.
• Experience leading technical decision-making at a team level.
• Fluent English communication skills.

Preferred Qualifications

• Experience in full-stack autonomous driving development.
• Experience developing precise calibration algorithms between heterogeneous sensors.
• Experience optimizing deep learning models on embedded systems (e.g., NVIDIA Jetson).
• Experience contributing to open source projects or publishing papers in major conferences in related fields.
  
  

Recruitment Process

Application Review - Assignment - Tech Interviews - CEO Screening - Reference Check - Offer    

(Please be aware that the recruitment processes & schedules may be changed depending on the job and/or other circumstances)