Hardware & Software Developer Intern / Entry Level
Job Description
We are proud to be able to open up a new paid entry-level/internship position for hardware and software development! If you are interested in machine learning?especially Multiple Discriminant Analysis (MDA)? and signal processing as well as LLMs, agents, and Agentic AI, we are looking for you! (Must Be a U.S. Person)
This is a unique opportunity to immerse yourself in an environment that blends cutting-edge technology with innovative problem-solving. You?ll contribute to exciting projects and work with an exceptional team while developing skills in areas like hardware design, software engineering, and advanced AI systems.
If you meet the following qualifications, we encourage you to apply:
Minimum Qualifications
Strong capacity for programming in at least one language (e.g., C#, C++, Python).
A solid understanding of hardware or software fundamentals.
An interest in machine learning, artificial intelligence, and hardware related fields.
Nice-to-Have Skills and Experiences:
Familiarity with SCADA systems and their real-time monitoring applications.
Understanding of signal processing techniques and optimization strategies.
Exposure to machine learning models, particularly Multiple Discriminant Analysis (MDA).
Experience or coursework in hardware design and prototyping.
If you?re eager to take your first step into a challenging and rewarding career while working on impactful technologies, this opportunity is for you. We?re excited to see what you can bring to the table!
This position must meet Export Control compliance requirements, therefore a ?U.S. Person? as defined by 22 C.F.R. ?120.15 is required. ?U.S. Person? includes U.S. Citizen, lawful permanent resident, refugee, or asylee.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Job Types: Part-time, Internship
Pay: $7.25 - $20.00 per hour
Work Location: Remote
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