Engineer Software Dev I - Part Time

Study and write modifications of existing code, BOM set up for new software, validation of software code, and manufacturing support.

Responsibilities:

• Design, write, code and document programs for various embedded CPU system.
• Have knowledge and understanding of CPU architectures as used in embedded systems.
• Write code in assembly and in C languages.
• Be able to test and debug embedded code using simulators, emulators, and target systems.
• Debug, test and modify code written by others.
• Use various compilers, linkers, and locators to generate embedded code.
• Use PROM, EPROM, EEPROM programmers to generate parts prototypes.
• Provide documentation on code and write design documents and validation procedures.
• Work with NEC V853 RISK processor and the 80C251 processor.
• Should have experience/understanding of firmware (interface with hardware), peripheral electrical circuits.
• Computer, Emulators

Travel:

• None

Requirements:

• Bachelor's degree in computer engineering or computer science
• Extensive knowledge and understanding of JavaScript.
• Sound understanding of web markup, such as HTML.
• Proficiency in browser rendering behavior and performance.
• Understand the agile software development methodology to solve complex problems
• Experience in developing asynchronous web applications using Ajax
• Experience in usability engineering (user interface design for great UX/UI)
• Experience using CGI/APIs objects to use in different applications
• Experience software testing techniques
• Experience with Git version control software
• Basic knowledge and understanding of computer network protocols (e.g., TCP/IP, UDP, HTTP).
• Basic knowledge and understanding of industrial/utility communication systems and protocols (e.g., Modbus, SNMP, BACnet)
• Basic knowledge and understanding of Uninterruptible Power Systems (UPS)
• Basic knowledge and understanding of Energy Storage Systems (ESS)
• Ability to work 24+ hours per week, with approximately 60% in-office and 40% remote.
• Great communication skills (written and verbal)
• Proven experience in developing, optimizing, and deploying machine learning models on embedded systems, including resource-constrained microcontrollers and edge devices.

Desired Skills but not Required:

• Have working/education experience developing cloud-based applications using AWS, Azure, and Google Cloud.
• Have a basic understanding of developing machine learning models
• Have basic knowledge of big data, analytics, and IoT and their usage
• Experience using and managing a Linux machine
• Understanding of NIST Cybersecurity Framework is a plus