DSP Software Engineer

Wallach Search Group
Monterey, CA, United States
26 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

C++ (Programming Language) Data Structures Linux Revision Control Systems Design of User Interfaces Python (Programming Language) Regression Testing Signal Processing Software Engineering Software Systems SQL Databases Information Technology

Requirements

Seeking superior engineering professionals. This is an opportunity to join a small team of exceptional researchers in developing and implementing cutting-edge signal processing technologies. The position is open to qualified software engineering professionals with experience designing, implementing, and maintaining large software systems. Demonstrated experience with Linux, C/C++, SQL, Python, and GUI design are required. The ideal candidate should have experience with the design and implementation of data structures and algorithms. Experience with unit/regression testing, revision control systems, defensive coding practices, and providing external support for large software systems is a plus. Some experience with statistical signal processing and communications systems is desirable, but not required.

Design, implement, and maintain large software systems. Demonstrated experience with Linux, C/C++, SQL, Python, and GUI design. Design and implementation of data structures and algorithms, unit/regression testing, revision control systems, defensive coding practices, and providing external support for large software systems. Experience with statistical signal processing and communications systems is desirable, but not required.

B.S. or M.S. degree in a Computer Science or Electrical Engineering is required. Minimum of two years of work related experience is required with five or more years desirable. TS/SCI clearance required so you must meet eligibility requirements for access to classified information.

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