DeepSig, Inc. · 3 months ago
Machine Learning Signal Processing Engineer
Arlington, VA
Full-time
Onsite
Mid LevelDeepSig Inc. is a venture-backed technology company pioneering the use of AI in wireless applications. They are seeking a Machine Learning Signal Processing Engineer to develop AI-RAN components for next-generation RAN systems, focusing on algorithm design, dataset pipelines, and software integration.
Artificial Intelligence (AI)Machine LearningWireless
Responsibilities
Design and implement AI/ML models for multiple key RAN functions including receivers, spectrum sensing, ISAC/active sensing, schedule and resource optimization, and other use cases
Contribute to algorithm optimizations for MU-MIMO/mMIMO optimization functions (e.g. user-pairing, prediction, beamforming, etc.)
Build reference ML module interfaces (data capture, online inference, scoring/benchmarking, simulation, performance validation) to integrate into RAN software stacks
Develop measurement and dataset collection tools and pipelines for training and scoring AI-RAN models and performance
Build model training and KPI benchmarking tools for reproducible comparison across models and use cases and interoperable model testing
Lead and contribute to commercial and open-source software for NextG AI-RAN capabilities
Implement and optimize critical baseband and AI/ML algorithms on accelerated compute platforms (e.g. GPU, NPU, TPU) with an emphasis on real-time deployment, latency, energy
Explore model compression, quantization, and deployment on specialized accelerators
Work with O-DU stacks (FlexRAN, OAI, SRS, Aerial) to integrate & benchmark AI-RAN modules
Ensure interoperability through open data interfaces that allow model insertion, data collection, performance measurement, and comparison across multiple parties
Stay current on the latest ML and wireless research; assess applicability to 3GPP AI-RAN and ISAC use cases, contributing to research, development, and standardization efforts
Collaborate with internal product teams and external partners (AI-RAN Alliance, 3GPP studies, OpenRAN Alliance) to drive adoption of AI-RAN modules and publish findings
Contribute to publications, standardization, research items, conferences, and open-source software aligned with the OpenRAN and the Open AI-RAN vision
Qualification
Required
BS, MS, or PhD in Electrical/Computer Engineering, Computer Science, or related field
Proficiency in at least one programming language (Python or C++ preferred)
Familiarity with Deep Learning frameworks (e.g. – PyTorch, TensorFlow)
Experience in some of the following areas: deep learning, RF Sensing, statistical signal processing/DSP, wireless/communications systems fundamentals, time/frequency analysis of signals, machine learning, channel estimation and equalization, MIMO systems, beamforming
Ability to work on open-ended and self-guided problems, building candidate solutions and coming up with appropriate metrics for comparison, system designs, and rigorous customer centric validation
Strong communication and teaming skills to work collaboratively and productively in a small company environment – allowing for broader and proactive scope of engagement across business functions
Preferred
Experience in building machine learning models optimized deployment hardware platforms
Familiarity with communications systems and/or 3GPP 5G NR physical layer and ORAN architecture
Background in digital signal processing (multi-rate, polyphase filters, equalization, synchronization.)
Experience in building & optimization ML / Deep Learning models for efficiency deployment
Familiarity with widely used SW ML tools such as C++, CUDA, TensorRT, OpenCL, ONNX, etc
Experience in edge deployment of ML models and accelerator toolchains (TensorRT, CUDA, ONNX, Ryzen-AI, OpenCL, oneDNN, FPGA/AI implementation, etc)
Prior work with Sionna PHY/RT, MATLAB, and other link and system level wireless tools/sims
Contributions to communications software or standards (e.g., AI-RAN Alliance, 3GPP, IEEE, etc.)
Benefits
Competitive salaries and benefits
Employee stock option grant program
Flexible schedule
Great work / life balance
Company
DeepSig, Inc.
DeepSig is a pioneer in AI native wireless communications.
Founded in 2016
11-50 employees
H1B Sponsorship
DeepSig, Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (2)
2023 (1)
2021 (2)
Funding
Current Stage
Early StageTotal Funding
$7.68MKey Investors
National Telecommunications and Information AdministrationLeawood Venture Capital
2025-01-13Grant
2023-08-09Grant
2020-02-28Series A· $5M
Leadership Team
Jim Shea
CEO
Tim O'Shea
Chief Technology Officer
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