DeepSig, Inc.
Machine Learning Signal Processing/Wireless Engineer
DeepSig, Inc., Arlington, Virginia, United States, 22201
Overview
Machine Learning Signal Processing Engineer at DeepSig, Inc. DeepSig is a venture-backed technology company pioneering the use of AI in wireless applications (physical layer communications, sensing, and others) by replacing traditional signal processing with algorithms derived by machine learning (ML). DeepSig software products are achieving significant performance increases while reducing power consumption, which brings significant value to our customers.
Responsibilities
AI-RAN Algorithm and Software-Module Development
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.
Dataset & Training Infrastructure: 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.
Accelerated Compute Functions: Implement and optimize critical baseband and AI/ML algorithms on accelerated compute platforms (e.g. GPU, NPU, TPU) with emphasis on real-time deployment, latency, energy efficiency. Explore model compression, quantization, and deployment on specialized accelerators.
Integration & Interoperability: Work with O-DU stacks (FlexRAN, OAI, SRS, Aerial) to integrate & benchmark AI-RAN modules and ensure interoperability through open data interfaces for model insertion, data collection, performance measurement, and cross-party comparison.
Research & Collaboration: Stay current on ML and wireless research; contribute to 3GPP AI-RAN and ISAC use cases, publishing findings and collaborating with internal product teams and external partners (AI-RAN Alliance, 3GPP studies, OpenRAN Alliance).
Contribute to publications, standardization, research items, conferences, and open-source software aligned with OpenRAN and Open AI-RAN vision.
Minimum Qualifications
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, build candidate solutions, and establish metrics for comparison and system designs with customer-centric validation
Strong communication and collaboration skills to work in a small company environment
Qualifications Of The Ideal Candidate
Experience in building machine learning models optimized for deployment on 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 & optimizing ML/Deep Learning models for efficient deployment
Familiarity with SW ML tools such as C++, CUDA, TensorRT, OpenCL, ONNX
Experience in edge deployment of ML models and accelerator toolchains
Prior work with Sionna PHY/RT, MATLAB, and other link/system-level wireless tools
Contributions to communications software or standards (e.g., AI-RAN Alliance, 3GPP, IEEE)
Working at DeepSig DeepSig is growing its technical team in a collaborative, agile, small-team environment. We value creativity, knowledge sharing, and employee growth, and encourage participation in scientific publications, conferences, and open-source software. We offer competitive salaries and benefits, an employee stock option grant program, and a flexible, inclusive environment with a strong 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 and motivated.
Location & Availability Arlington, VA (as applicable to the role). This description reflects the current responsibilities and requirements for the role.
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Responsibilities
AI-RAN Algorithm and Software-Module Development
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.
Dataset & Training Infrastructure: 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.
Accelerated Compute Functions: Implement and optimize critical baseband and AI/ML algorithms on accelerated compute platforms (e.g. GPU, NPU, TPU) with emphasis on real-time deployment, latency, energy efficiency. Explore model compression, quantization, and deployment on specialized accelerators.
Integration & Interoperability: Work with O-DU stacks (FlexRAN, OAI, SRS, Aerial) to integrate & benchmark AI-RAN modules and ensure interoperability through open data interfaces for model insertion, data collection, performance measurement, and cross-party comparison.
Research & Collaboration: Stay current on ML and wireless research; contribute to 3GPP AI-RAN and ISAC use cases, publishing findings and collaborating with internal product teams and external partners (AI-RAN Alliance, 3GPP studies, OpenRAN Alliance).
Contribute to publications, standardization, research items, conferences, and open-source software aligned with OpenRAN and Open AI-RAN vision.
Minimum Qualifications
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, build candidate solutions, and establish metrics for comparison and system designs with customer-centric validation
Strong communication and collaboration skills to work in a small company environment
Qualifications Of The Ideal Candidate
Experience in building machine learning models optimized for deployment on 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 & optimizing ML/Deep Learning models for efficient deployment
Familiarity with SW ML tools such as C++, CUDA, TensorRT, OpenCL, ONNX
Experience in edge deployment of ML models and accelerator toolchains
Prior work with Sionna PHY/RT, MATLAB, and other link/system-level wireless tools
Contributions to communications software or standards (e.g., AI-RAN Alliance, 3GPP, IEEE)
Working at DeepSig DeepSig is growing its technical team in a collaborative, agile, small-team environment. We value creativity, knowledge sharing, and employee growth, and encourage participation in scientific publications, conferences, and open-source software. We offer competitive salaries and benefits, an employee stock option grant program, and a flexible, inclusive environment with a strong 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 and motivated.
Location & Availability Arlington, VA (as applicable to the role). This description reflects the current responsibilities and requirements for the role.
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