Experienced AI - ML Engineer developing and implementing analytics solutions for aerospace applications at Boeing. Delivering cutting - edge R&D and high - quality engineering work in global markets.
About the role
- Wireless Protocols Software Engineer working on digital signal processing and software-defined protocols at CACI. Involves team collaboration, testing, and system-level engineering solutions.
Responsibilities
- Define, design, implement, and test components of wireless protocol stacks, ranging from physical layer (PHY) algorithms to layer 2/layer 3 procedures.
- Contribute to systems-level engineering discussions that reconcile the various use cases for our software in pursuit of best-in-class solutions.
- Work with customers (both internal and external to CACI) to help integrate our solutions into a wide variety of applications and use cases.
- Debug, test, and validate our capabilities using both unit tests as well as scenarios reported by our end users.
- Travel to other CACI locations and/or customer sites in the US as necessary (travel requirement is typically 0 - 15%).
Requirements
- A bachelor’s degree (or higher) in Computer Science or Electrical Engineering or equivalent technical degree or an additional 4+ years of experience in lieu of degree.
- 5-10+ years of related experience in industry.
- Experience with Signal Processing or DSP.
- Experience writing software for Linux-based operating systems.
- Strong C/C++ programming experience (or proven ability in an alternate object-oriented language) shown through project work or code examples.
- Demonstrated ability to read and understand technical specifications, and create software-based implementations of the procedures and methods described therein.
- Excellent communication and interpersonal skills.
- Previous experience with wireless protocols (e.g., 3GPP cellular protocols, IEEE wireless standards, and/or ITU/ETSI-defined mobile radio standards).
- Previous experience in developing applications with cellular LTE and NR protocols.
- Ability to work independently and solve technical challenges with minimal oversight.
Benefits
- healthcare
- wellness
- financial
- retirement
- family support
- continuing education
- time off benefits
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