A complete application in a minute
Tailored resume and cover letter, ready to send.
Machine Learning Technologies LLC in Raleigh, NC is seeking a firmware engineer to migrate enterprise server platforms from Broadcom Atlas 2 to Atlas 3 PCIe switches. You will work on firmware development, embedded systems, C/C++, and platform bring‑up.
The role involves hardware‑software integration, debugging, validation, and documentation, with opportunities to influence next‑gen server capabilities across multiple platforms.
Job ID: J54521
Job Title: Firmware Engineer
Location: Raleigh, NC
Duration: 12 Months + Extension
Domain Exposure: Healthcare
Client: To Be Discussed Later
Employment Type: W-2, 1099, C2C
Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other
Bill Rate: $84/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other
We are seeking a highly experienced Firmware Engineer to support the migration of multiple enterprise server platforms from Broadcom Atlas 2 to Atlas 3 PCIe switch technology. The ideal candidate will have strong expertise in firmware development, embedded systems, C/C++, Embedded Linux, and PCIe architecture. This role involves firmware adaptation, hardware-software integration, platform bring‑up, validation, troubleshooting, and sustainment to ensure compatibility with existing platforms while enabling next‑generation capabilities.
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.
© 2004-2026, Machine Learning Technologies LLC, or its affiliates