Embedded Software Engineer - 5G

DeepSig Inc. is a venture-backed technology company pioneering the use of AI in 5G and other wireless systems by replacing traditional signal processing with machine learning. DeepSig software products achieve significant performance increases while reducing power consumption to bring value to our customers.

We are seeking a full-time Embedded Software Engineer who will be an integral part of our growing team as DeepSig further deploys its AI/ML 5G/6G products into embedded devices. The role will work in the areas of algorithm optimization, embedded systems, accelerators, machine learning and wireless communications. The ideal candidate will have a proven track record of implementing wireless algorithms on an embedded device utilizing various SIMD, DSP, NN, or other accelerators.

Some of What You’ll be Doing:

• Design, develop, and optimize AI/ML and DSP algorithms for 5G Physical Layer
• Work with and integrate our software within Open RAN stacks such as Qualcomm L1, Nvidia Aerial, and Intel FlexRAN
• Collaborate with the ML team to ensure solutions can be effectively and efficiently implemented on embedded platforms to take advantage of on chip accelerators (SIMD, DSP, NN)
• Work with the rest of the 5G team to propose conventional DSP solutions to augment and improve our existing capabilities.
• Implement algorithms using mixed precision to achieve high accuracy and low latency requirements
• Work with DeepSig RAN engineers to deploy and validate DeepSig’s 5G capabilities

What We Need to See:

• Experience with development, debug, and simulation for an embedded platform
• Programming skills in C, C , or Python
• Experience with fixed and mixed precision algorithms
• Development in 5G NR and LTE physical layer.
• Proven experience utilizing on board accelerators such as SIMD, DSP cores, NPU cores, or FPGAs
• Ability to work in a flexible, fast-paced, and dynamic startup environment.
• Proficiency with modern software development practices such as version control, continuous integration, and testing

What We Would Like to See:

• Experience using Qualcomm QRU100 and X100 SoC
• In-depth knowledge of information theory, coding theory, adaptive filtering, channel estimation, beamforming, and digital communications.
• Exposure to AI/ML libraries such as PyTorch and TensorFlow
• ML model inferencing with low latency requirements

Working at DeepSig

DeepSig is growing its technical team while cultivating a collaborative, agile, and fun small-team culture. We value creativity, knowledge sharing, and employee growth, and we encourage participation in scientific publications, conferences, and open-source software. We offer competitive salaries and benefits, an employee stock option grant program, an environment where we are excited to be transforming and disrupting how signal processing is done with AI/ML, a welcoming and inclusive environment, a flexible schedule, and a great work / life balance.

Equal Opportunity Statement:

DeepSig is an equal opportunity employer and does not discriminate based on race, ethnicity, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. We are dedicated to cultivating an inclusive, diverse, and engaging workplace where individuals feel fulfilled, inspired, and motivated. We value the unique perspectives that our team brings.