Principal Wireless Algorithms Engineer (MAC Layer Scheduling)

Invent. Solve challenging problems in scheduling, resource allocation, link adaptation, interference management, spectrum coordination, latency, and fairness. Many problems will begin with a hunch or observed performance issue—not a detailed specification.

Define the problem. Turn ambiguous performance issues into clear, tractable problems, and use sound judgment to determine which ones are worth solving.

Validate before building. Use simulations, offline analysis, and real field data to evaluate ideas before committing to implementation.

Design for robustness. Think beyond standard test cases and ensure algorithms behave reliably across a wide range of operating conditions, including difficult-to-reproduce edge cases.

Ship your work. Write production C++ for the systems you design and stay involved through integration, field validation, and real-world deployment.

Raise the bar. Review designs and code rigorously, asking hard questions about edge cases, tradeoffs, and failure modes.

Close the loop. Work closely with systems engineering, DSP, and field teams to understand how algorithms perform in real-world networks at scale.

Explore new approaches. Evaluate where machine learning can outperform traditional algorithms and understand the practical cost of running models within embedded, real-time constraints.

Mentor and lead. Help other engineers build strong technical judgment—not just implementation skills.

12+ years of experience designing algorithms for wireless systems, with significant ownership of scheduler, resource allocation, link adaptation, or related functionality in a production product.

Master of Science (MS) or doctoral degree (PhD) in Electrical Engineering, Computer Science, or a related field or equivalent work experience.

Strong foundation in wireless communications, including OFDM, MIMO, beamforming, interference modeling, and an understanding of the practical tradeoffs between theoretical models and deployed hardware.