Staff Systems Engineer, Signal-Path Performance & Modeling

What you'll do

• Build and maintain optical/electrical link and power budgets and a behavioral model of the full TX-channel-RX signal path.
• Analyze signal impairments and allocate accuracy targets; run Monte Carlo and time-domain simulations to quantify margins.
• Correlate models with lab and silicon measurements, and advise architecture decisions on throughput, efficiency, latency, and power.

What they ask for

• MS or PhD in Electrical Engineering, Applied Physics, or a closely related field, emphasizing communication theory, signal processing, or mixed-signal systems.
• 5+ years of professional experience in communication systems architecture, link-budget/signal-chain modeling, or performance modeling of optical or high-speed electrical communication systems.
• Deep knowledge of communication theory and signal processing, including modulation, equalization, synchronization and estimation, quantization, and coding gain.
• Expert-level proficiency in Python (NumPy/SciPy) and/or MATLAB/Simulink; demonstrated ownership of an end-to-end optical or RF link budget (or equivalent SNR/noise budget).

Nice to have

• Experience with optical communication links, coherent or direct-detection architectures, or high-speed SerDes/networking standards (Ethernet, PCIe, OIF-CEI).
• System-level modeling of high-speed data converters (ADC/DAC), Cadence Virtuoso and Spectre, lab characterization or bring-up, or photonic integrated circuits/silicon photonics.

Pay

$185K – $215K USD base salary

Tools

Python (NumPy/SciPy), MATLAB/Simulink, Ethernet, PCIe, OIF-CEI, Cadence Virtuoso, Spectre

AI focus

Models and optimizes the performance, efficiency, and accuracy of photonic computing hardware for large-scale AI inference; no AI model development is specified.