Job description

Type: Full-Time (W2) On-Site/Hybrid, Arlington, VA DeepSig Inc. is a venture backed and product centric technology startup building revolutionary wireless processing software solutions using cutting edge machine learning techniques to transform baseband processing, wireless sensing, and other key wireless applications. We are seeking Full-time Machine Learning DSP Engineer who will help combine elements of software digital signal processing and software-defined modems with state of the art machine learning techniques to create the next generation of AI-Native wireless communications systems in simulation and in real deployed products at scale. This person will be responsible for developing and validating machine learning and communications system algorithms and software across modem and/or wireless sensing system solutions. What You'll be Doing • Build cutting edge Machine Learning models for RF sensing applications • Keep up with the latest developments in the field of Machine Learning and assess their viability for RF sensing applications • Utilize both Software and DSP techniques to optimize training and inference pipelines • Work closely with product managers and business development teams to improve our RF sensing capabilities based on customer feedback • Working with real-world RF datasets and ML driven RF systems which are unique and unrivaled anywhere else in the world Requirements: • MS or PhD in Electrical/Computer Engineering, Computer Science, or related field • Proficient in at least one programming language (Python preferred) • Familiarity with at least one of the Deep Learning frameworks (e.g. – PyTorch, Tensorflow etc.) • Experience in one or more of the following areas: Deep Learning, RF Sensing, Statistical Signal Processing, Wireless Systems fundamentals, Time/Frequency analysis of signals • Ability to work on open ended problems, building candidate solutions and coming up with appropriate metrics for comparison • Strong communication and teaming skills to work collaboratively and productively in a small company environment Bonus: • Experience with advanced signal processing concepts such as multirate signal processing, polyphase filterbanks etc. • Prior experience in building Deep Learning models for edge deployment • Familiarity with TensorRT • Proficiency in C++ and/or CUDA In compliance with pay transparency requirements, the salary range for this role is $110,000-$170,000 annually. This range represents DeepSig’s good-faith estimate of the compensation for the role at the time of posting. Actual compensation within this range may vary based on factors such as relevant experience, skills, education, job responsibilities, internal equity, and other job-related considerations. 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 a comprehensive benefits package, including health, dental and vision insurance, employee stock options, a 401(k) match, performance-based bonuses, commuter benefits, referral bonuses, education assistance, parental leave, paid time off, and holidays. At DeepSig, you’ll have the opportunity to help transform and redefine signal processing through cutting-edge AI/ML technologies in a welcoming, inclusive, and collaborative environment that values flexibility and work-life balance. 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. DeepSig is an E-Verify Employer. Please click here for the E-Verify Poster in English(opens in new window) or Spanish(opens in new window) . For information regarding your Right To Work, please click here for English(opens in new window) or Spanish(opens in new window) .

Requirements

Must-haves

Type: Full-Time (W2) On-Site/Hybrid, Arlington, VA
What You'll be Doing
Build cutting edge Machine Learning models for RF sensing applications
Keep up with the latest developments in the field of Machine Learning and assess their viability for RF sensing applications
Utilize both Software and DSP techniques to optimize training and inference pipelines
Work closely with product managers and business development teams to improve our RF sensing capabilities based on customer feedback
Working with real-world RF datasets and ML driven RF systems which are unique and unrivaled anywhere else in the world
MS or PhD in Electrical/Computer Engineering, Computer Science, or related field
Familiarity with at least one of the Deep Learning frameworks (e.g. – PyTorch, Tensorflow etc.)
Experience in one or more of the following areas: Deep Learning, RF Sensing, Statistical Signal Processing, Wireless Systems fundamentals, Time/Frequency analysis of signals
Ability to work on open ended problems, building candidate solutions and coming up with appropriate metrics for comparison
Strong communication and teaming skills to work collaboratively and productively in a small company environment

Nice-to-haves

Proficient in at least one programming language (Python preferred)
Experience with advanced signal processing concepts such as multirate signal processing, polyphase filterbanks etc.
Prior experience in building Deep Learning models for edge deployment
Familiarity with TensorRT
Proficiency in C++ and/or CUDA

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaimlpythonagile

Platform: paylocity
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave