Mid-Level Software Engineer (C++)

We are seeking an experienced and highly skilled Software Engineer to join our team in developing next-generation AI-powered surgical imaging applications on NVIDIA IGX embedded devices, leveraging NVIDIA Holoscan SDK, DeepStream SDK, and both C++ and Python Operator SDKs. This role requires a solid understanding of real-time systems, embedded programming, GPU acceleration, and AI pipeline orchestration in a clinical setting.

You should have at least four years of software development experience, including significant expertise in C++ and working knowledge of Python, ideally in the context of computer vision, medical imaging, or edge computing.

Responsibilities

As a Software Engineer, you will be expected to:

• Collaborate with cross-disciplinary teams including AI researchers, imaging scientists, and clinical stakeholders to define and implement robust software solutions for intraoperative AI guidance and image analysis.

• Design, develop, test, and maintain high-performance software pipelines using C++ on NVIDIA IGX platforms, integrating with the NVIDIA Holoscan SDK and DeepStream SDK.

• Implement, integrate, and optimize C++ and Python Holoscan operators to enable real-time video processing, AI inference, and visualization.

• Ensure software components meet reliability, latency, and safety requirements for real-time embedded surgical environments.

• Participate in code reviews, provide constructive feedback, and ensure code quality, safety, and maintainability across the software stack.

• Troubleshoot, profile, and optimize system performance using NVIDIA development tools (e.g., Nsight, nvprof, Jetson utilities).

• Continuously stay current with advances in edge AI, embedded GPU programming, and medical imaging technologies.

Qualifications

To be considered for this role, you should possess:

• A Bachelor’s or Master’s degree in Computer Science, Biomedical Engineering, Electrical Engineering, or a related field.

• At least four years of professional experience in software development, with a strong emphasis on modern C++ (C++14/17/20).

• Solid understanding of object-oriented design, multi-threading, real-time systems, and memory-efficient programming.

• Experience with GStreamer, DeepStream SDK, or NVIDIA Holoscan SDK is highly desirable.

• Proficiency in Python for scripting, rapid prototyping, and integration of AI models is a plus.

• Familiarity with CUDA programming, TensorRT, or other GPU-accelerated frameworks is a strong advantage.

• Experience developing on Linux-based embedded systems, especially NVIDIA Jetson/IGX platforms.

• Understanding of AI model inference, image/video processing pipelines, and deployment in clinical or regulated environments is a bonus.

• Prior exposure to Agile development, DevOps, or CI/CD for embedded systems is beneficial.

• Strong analytical and problem-solving skills, with an ability to work independently or within a cross-functional team.

• Excellent verbal and written communication skills.
  
• If you are a passionate Software Engineer with a desire to work on challenging projects and a proven track record of success, we encourage you to apply.

Working Visa:

• candidate must be a permanent resident or Citizen of Taiwan. We do not open this position for candidates required to apply for a Working Visa in Taiwan.

Stage 1 - Initial Call

• Conduct an initial phone call: This initial conversation assesses the candidate’s communication skills and motivation
  

Stage 2 - Technical Assessment

• Conduct a take-home assignment, and evaluate candidates' technical skills by relevant coding tests. The test will be based on an open-source project, and candidates have to create unit tests to demonstrate their ability to write code using best practices such as null safety, error handling, documentation, and coding standards.

Stage 3 - Technical Interviews

• Fundamental Skill: based on the take-home assignment, conduct code review sessions focusing on principles, system design, and areas relevant to the company’s tech stack. Include problem-solving sessions and coding exercises.

• Leadership and Design Skills: For senior positions, include discussions around system design, architecture, and leadership experiences. Assess their ability to mentor others, lead projects, and make high-level design decisions.

Stage 4 - Behavioral Interview

• Soft Skills: problem-solving abilities, and how the candidate has handled past challenges on teamwork, conflict, and project management.

• Team Fit and Culture Fit: Include interviews or informal chats with potential team members to assess cultural and team fit. This helps ensure the candidate can work well within the team and aligns with the company’s values.

Stage 5 - Reference Checks

• Conduct Reference Checks: Speak with former managers to verify the candidate’s experiences, strengths, and areas for improvement.