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MACHINE LEARNING TECHNOLOGIES LLC is seeking an Embedded Software Engineer in California to design and implement software for real-time embedded devices, interfacing with hardware like displays and telematics. You will work from requirements to production, write efficient ANSI C, and use Git for version control, with RTOS environments.
This is a hands-on role focusing on low-level development for industrial hardware.
Job ID: J53211
Job Title: Embedded Software Engineer
Location: sanfransico, CA
Duration: 12 Months + Extension
Domain Exposure: Healthcare
Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD
Client: To Be Discussed Later
Employment Type: W-2, 1099, C2C
Education: Bachelor's degree in Computer Engineering, Electrical Engineering, or a highly relevant Computer Science degree. Must-Haves (Non-Negotiable)
Experience: 5-8 years of professional experience in real-time embedded systems.
Design and implement software of embedded devices and systems from requirements to production and commercial deployment for product lines.
Write and code logical and physical database descriptions and specify identifiers of database to management system or direct others in coding descriptions.
Analyze and enhance efficiency, stability and scalability of system resources.
Review project requests describing database user needs to estimate time and cost required to accomplish project.
The core function of this role is low-level embedded software development. You will be designing, coding, and testing software that directly interfaces with hardware components (like displays and telematics) for Caterpillar's products. This is not a role focused on high-level applications, cloud, or web development.
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.