Machine Learning Signal Processing Engineer
@ DeepSig Inc

Arlington, Virginia, United States
$150,000
On Site
Full Time
Posted 24 days ago

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XXXXXXXX XXXXXXXXXXX XXXXXXXXX***** @deepsig.com
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Job Details

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
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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.

📝 Interview Preparation Advice

Technical Preparation

Review ML model implementation techniques.
Practice signal processing algorithm coding.
Study GPU and hardware acceleration basics.
Experiment with Python, C++, and CUDA.

Behavioral Questions

Describe a challenging project collaboration.
Explain problem-solving under tight deadlines.
Discuss teamwork in complex system integration.
Share experience with self-guided projects.

Frequently Asked Questions