Senior Signal Processing & ML Engineer - SDR & Field Tests

Black River Systems Company; City of Utica (NY); On-site; USD 85,000 - 120,000; Full time

Job summary

Black River Systems Company, a small, employee-owned firm in Utica, NY, seeks a Signal Processing Engineer to develop algorithms for detecting, decoding, and processing digital communication signals. You will participate in field tests and model signal behavior for operational planning, building and testing COTS systems such as SDRs.

The role emphasizes combining traditional signal processing with ML/AI techniques and advancing algorithms from research toward practical hardware implementations.

Qualifications

• Bachelor's degree in math, electrical engineering or related field.
• Familiarity with SDR hardware and software interfaces.
• Experience in receiver design including digital filtering, channel estimation, equalization, demodulation, and decoding.
• Proficiency in MATLAB and Python; C/C++ is a plus.
• Strong communication skills to explain complex signaling systems and provide technical support.
• U.S. citizenship or eligibility for DoD clearance.

Responsibilities

• Incorporating traditional signal processing as well as Machine Learning (ML) and Artificial Intelligence (AI) techniques.
• Implementing algorithms in hardware systems as research progresses toward operational implementation.

Skills

Digital signal processing

Receiver design

Channel estimation

Demodulation

C/C++ familiarity

Education

Bachelor's degree in math, electrical engineering or related field

Tools

MATLAB

Python

C/C++

SDR interfaces

Job description

Black River Systems Company, a small, employee-owned firm in Utica, NY, seeks a Signal Processing Engineer to develop algorithms for detecting, decoding, and processing digital communication signals. You will participate in field tests and model signal behavior for operational planning, building and testing COTS systems such as SDRs.

The role emphasizes combining traditional signal processing with ML/AI techniques and advancing algorithms from research toward practical hardware implementations.