Hardware and Embedded Systems Engineer

The Position:

We are looking for an electrical or computer engineer to become an expert in how our current and future products work. The candidate will help with hardware debugging as well as testing algorithm and various software features as they become available. Based on your level of experience, this position can rapidly evolve into various different facets of our product development efforts. Additionally, you will act as the customer’s advocate and help reproduce any issues they may be experiencing. Candidate must have experience with digital signal processing for radio frequency systems.
 

What you’ll do:

• Work with team to design, develop, and test RF hardware/firmware including RF components, FPGA, embedded processors, and graphics processing units (40%)
• Work with team to develop, test, and maintain software products (35%)
• Act as the customer’s advocate and help reproduce any issues they may be experiencing (25%)

What you bring:

• Bachelor's degree in electrical engineering, computer engineering, or equivalent
• Proficient in digital signal processing for RF systems
• Proficient with VHDL and FPGA debugging tools
• Proficient with Linux
• Experience with one of the following: Python, C, or C++
• Experience with prototyping, troubleshooting, qualifying, and optimizing circuits
• Hardware debugging skills and experience operating signal generators, logic analyzers, digital oscilloscopes, etc.
• Positive attitude and ability to communicate through challenging technical issues

What we offer:

• Flexible time off
• Equity
• Great working environment (People, product, culture)
• Opportunity to work on groundbreaking technology in emerging field, bringing AI to RF where what you do has impact.

Who we are:

Located in Philadelphia, Deepwave Digital is a well-funded startup on the absolute bleeding edge of software defined radio and signal processing. We are pioneers in using artificial intelligence and leveraging GPU hardware to more efficiently process the radio frequency (RF) spectrum. Our hardware and software technology moves the AI computation engine to the edge of the wireless system to reduce network bandwidth, latency, and human-driven analysis requirements.