Software Engineer I

SICK Sensor Intelligence is focused on designing and developing innovative software solutions. The Software Engineer I will contribute to software development projects, collaborate with cross-functional teams, and ensure high-quality applications throughout the product lifecycle.

Responsibilities

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

Skills

• 0+ years of software development experience
• Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or equivalent experience is required
• 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 algorithms, both classical and ML‑based
• Exposure to developing, training, or operationalizing deep learning or AI models
• Comfort using AI‑assisted development tools such as GitHub Copilot, Claude Code to accelerate coding, testing, documentation, and learning
• Experience troubleshooting and improving system stability and efficiency
• Strong ability to articulate technical details, non-technical information, and project updates to cross‑functional partners
• Professional written and spoken fluency in English required
• Legally permitted to work in the country you are applying and willing to undergo an employment background check
• Legally permitted to work in the United States

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