Digital Signal Processing (DSP) Engineer

MACOM Technology Solutions Holdings, Inc.

3d•$95,000 - $135,000

About The Position

We are seeking a highly motivated MLSD Algorithm Engineer to develop a MATLAB or PYTHON program to optimize analog circuits for high-speed communication systems. The successful candidate will design, implement, and optimize Maximum Likelihood Sequence Detection (MLSD) algorithms for PAM4 receivers used in optical and electrical interconnects operating at 200G, 400G and beyond. We are primarily targeting a senior-level engineer, but we will also consider highly motivated entry-level candidates.

Requirements

Bachelor's or Master’s Degree in Electrical Engineering, Computer Engineering, or Physics.
10+ years’ experience in an engineering related field preferred.
Solid foundation in digital communications, filter design, convolution, and linear algebra.
Strong proficiency in Python, and/or MATLAB.
Strong proficiency in Viterbi decoder implementation, FFE Adaptation algorithms, channel estimation, and PAM4 signaling.
Able to work in and foster a teamwork environment with a demonstrated ability to coordinate activities across multiple functional areas.
Must be an effective communicator with the ability to interface at all levels within the organization, possessing a thorough command of the English language, written as well as verbal.

Responsibilities

Understand what DSP companies are implementing when it comes to FFE, DFE and MLSD equalization.
Predict bit error ratio (BER) of measured or simulated data using FFE, DFE and MLSD equalization.
Find figure of merits for analog design to speed up the development of analog circuits.
Create and simulate mathematical algorithms for improving bit error rate by using filtering, and advance equalization techniques e.g. CTLE, FFE, DFE and MLSD using tools like MATLAB or Python.
Troubleshoot and analyze distortion, interference, or bandwidth issues to improve system performance.
Work alongside analog designers, hardware, software, and systems engineering teams to guide them and solicit feedback from them for best-in-class system level performance.