Software Engineer

Job Description Software Engineer I

This role will be working in-office at our Canton, MA location.

This role focuses on designing, developing, testing, and supporting software solutions across SICK products lifecycle. The Software Engineer I contributes to innovative development projects, collaborates with cross-functional global teams, and helps build high-quality applications aligned with SICK’s technology strategy.

Software Development

• Execute project‑assigned software development tasks while following SICK’s product development processes and ensuring compliance with all design control, quality, and regulatory requirements.
• Support enhancements, maintenance, updates, and major and minor releases across the entire software product lifecycle.
• Use prototypes, proofs of concept, and MVPs to test, refine, verify, and validate new ideas.
• Collaborate with internal and external resources to ensure all project technical, cost, and schedule requirements are met.

Testing & Quality Assurance

• Plan, develop, and execute tests to verify functionality, performance, and reliability of software.
• Participate in code reviews, contributing constructive technical feedback.
• Ensure secure coding practices and adherence to quality standards.

Cross-Functional Collaboration

• Collaborate with Product Management, Engineering, and Quality teams to support business and technical requirements.
• Assist in refining and interpreting technical requirements and user stories.
• Communicate progress, risks, and technical decisions effectively.

Documentation & Reporting

• Create and maintain technical documentation including specifications, test plans, correspondence, and reports.
• Support release documentation and software change management.

Continuous Improvement & Learning

• Develop working knowledge of SICK products, platforms, and development tools.
• Stay current with emerging technologies and software engineering practices.
• Contribute suggestions for product and process improvements.

Machine Vision, Algorithms & Emerging Technologies

• Design, specify, and implement algorithms, machine learning approaches, and machine vision solutions for object detection, inspection, automation, classification, tracking, and prediction using SICK 2D and 3D cameras, scanners, and programmable devices.
• Employ emerging technologies - including deep learning - to enhance system performance and capability.
• Consult with internal partners to evaluate applications and identify high‑value use cases for machine vision integration.
• Maintain current knowledge of hardware technologies, programming languages, and industry‑leading techniques.
• Leverage existing hardware and software components to design scalable new products and solutions.
• Perform full software engineering responsibilities including design, requirement analysis, estimation, and scheduling for machine‑vision‑related tasks.

Perform other duties as may be assigned or required by management.

• Experience
  : 0+ years of software development experience.
• Education
  :
  Bachelor’s degree in Computer Science, Electrical Engineering, Software Engineering, or equivalent experience is required.
• Position-specific Qualifications
  :
  • Strong problem‑solving, analytical thinking, and debugging skills.
  • Solid understanding of algorithms, data structures, and design patterns.
  • Experience with programming languages such as C++, Python, or Lua.
  • Familiarity with Git version control, code review workflows, and issue‑tracking systems.
  • Familiarity with multithreading, multiprocessing, inter‑process communication, networking (IP protocols), and real‑time or distributed systems.
  • Basic understanding of web development fundamentals such as HTML, CSS, JavaScript, REST/JSON, HTTP. Familiarity with front‑end frameworks.
  • Ability to generate simple user interface applications, prototypes, or internal tools using lightweight frameworks or UI libraries.
  • Ability to assess, integrate, and evaluate third‑party and open‑source software.
  • Ability to monitor, troubleshoot, and improve system efficiency and stability.
  • Experience developing machine vision or computer vision systems.
  • Familiarity with image processing concepts and modern CV…