Machine Learning Signal Processing Engineer @ DeepSig Inc
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Overview
DeepSig Inc. is a venture-backed technology company pioneering AI in wireless applications by replacing traditional signal processing with machine-learning algorithms. Our focus is on improving performance and reducing power consumption, providing significant value to customers.
Role Summary
As a Machine Learning Signal Processing Engineer, you will work at the intersection of machine learning, wireless signal processing/DSP, and 3GPP standards to develop AI-RAN components for next-generation RAN systems. You will design optimized algorithms, create training pipelines, and integrate modules into RAN stacks.
Key Responsibilities
- AI-RAN Development: Design and implement AI/ML models for receivers, spectrum sensing, ISAC, and resource optimization.
- Algorithm Optimization: Improve MU-MIMO/mMIMO functions including user pairing and beamforming.
- Reference Design: Build ML module interfaces and integrate them into RAN software stacks.
- Dataset & Training Infrastructure: Develop data collection tools, training pipelines, and KPI benchmarking tools.
- Accelerated Compute: Optimize algorithms for GPU, NPU, and TPU with real-time constraints.
- Integration: Work with O-DU stacks and ensure interoperability through open data interfaces.
- Research & Collaboration: Stay updated on ML and wireless research, and collaborate with partners and industry alliances.
Minimum Qualifications
- BS, MS, or PhD in Engineering, Computer Science or related field
- Proficiency in Python or C++
- Experience with Deep Learning frameworks such as PyTorch or TensorFlow
- Background in deep learning, RF sensing, DSP, wireless fundamentals
- Strong communication and teamwork skills
Preferred Qualifications
- Experience with ML model deployment on accelerated hardware platforms
- Familiarity with 3GPP 5G NR and ORAN architecture
- Expertise in digital signal processing techniques
- Knowledge of tools like CUDA, TensorRT, OpenCL, and ONNX
- Experience with edge deployment and accelerator toolchains
Working at DeepSig
DeepSig offers a collaborative, agile environment with competitive salaries, employee stock options, flexible schedules, and a strong focus on professional growth and work/life balance.
Equal Opportunity Statement
DeepSig is an equal opportunity employer committed to diversity and inclusion.
Key skills/competency
- Machine Learning
- Signal Processing
- Wireless
- DSP
- 3GPP
- AI-RAN
- Algorithm
- GPU
- Development
- Integration
How to Get Hired at DeepSig Inc
🎯 Tips for Getting Hired
- Customize Your Resume: Tailor experience to ML, DSP, and wireless projects.
- Highlight Technical Skills: Emphasize Python, C++, and deep learning frameworks.
- Research DeepSig Inc: Understand their AI-RAN vision and wireless innovations.
- Prepare for Technical Interviews: Practice algorithm and integration challenges.