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Signal Integrity Engineer Remote Jobs in Virginia

DeepSig Inc

Senior Software Engineer

Arlington, VA · On-site +1

$141K - $185K/yr

... Remote option available for the right candidate) DeepSig is the industry leader in ML-based signal ... We are seeking a Senior Software Engineer to expand that portfolio utilizing the latest technology ...

Oteemo, Inc

Software Engineer, Angular

Reston, VA · Remote

Angular 20 preferred), including signals-based reactivity, standalone components, and the modern ... shell/remote application patterns, and cross-microfrontend communication strategies. * Strong ...

Oteemo, Inc

Software Engineer, Angular

Reston, VA · Remote

Angular 20 preferred), including signals-based reactivity, standalone components, and the modern ... shell/remote application patterns, and cross-microfrontend communication strategies. * Strong ...

iDirect GOVERNMENT

Senior FPGA Engineer

Herndon, VA · On-site +1

$133K - $171K/yr

... Communication Signal Interference Removal (CSIR™) anti-jam technology and Open Antenna Modem ... This position is based out of our Herndon, VA location with the option of a remote work schedule.

ICF

Lead ServiceNow Developer (Remote) TT

Reston, VA · Remote

$56.25 - $77.25/hr

* Remote flexible if outside of Washington DC 50-mile radius * ICF's Digital Modernization Division ... Conduct thorough testing of ServiceNow configurations tovalidatefunctionality, data integrity, and ...

Pae

Senior Radio Frequency Engineer

Dahlgren, VA · On-site +1

Provide technical expertise in signal processing, direction finding, signal exploitation ... Classic Reach and Aggregate Remote Capability (ARC). * Finder Family of Systems. * Digital Receiver ...

SAIC

Systems Engineer

Hampton, VA · Remote

$80K - $120K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is looking for a Data Integrity Associate System Engineer to join our team of the Air Operations Center Weapons System (AOC WS) Falconer ...

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Signal Integrity Engineer Remote information

What engineer makes $500,000 a year?

Highly experienced senior engineers in specialized fields such as software engineering, data science, or certain engineering management roles can earn $500,000 or more annually, especially with bonuses, stock options, or in high-demand industries. Achieving this level typically requires advanced skills, extensive experience, and often leadership responsibilities or working in high-paying sectors like technology or finance.

What are some common challenges Signal Integrity Engineers face when working remotely, and how can they be addressed?

Signal Integrity Engineers working remotely often face challenges such as coordinating with cross-functional teams across different locations, accessing specialized lab equipment, and troubleshooting complex hardware issues without in-person collaboration. To address these, engineers typically rely on advanced simulation tools, regular virtual meetings, and detailed documentation to ensure clear communication. Establishing strong lines of communication with on-site team members and leveraging remote access to lab setups can also help mitigate these challenges and maintain productivity.

How much do signal integrity engineers make?

Signal integrity engineers typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in high-speed digital design or RF may have higher salaries, especially with certifications or advanced degrees. Remote positions often offer competitive compensation aligned with industry standards.

What are the key skills and qualifications needed to thrive as a Signal Integrity Engineer (Remote), and why are they important?

To thrive as a Signal Integrity Engineer working remotely, you need a solid background in electrical engineering, expertise in signal and power integrity analysis, and experience with high-speed digital design, usually supported by a relevant degree. Familiarity with technical tools such as simulation software (e.g., Ansys HFSS, Cadence Sigrity), PCB layout tools, and measurement equipment is essential. Strong problem-solving abilities, clear communication, and self-motivation are standout soft skills for remote collaboration and troubleshooting. These competencies ensure accurate analysis, effective remote teamwork, and the reliable performance of electronic systems.

How much does Apple signal integrity engineer make?

Signal Integrity Engineers at Apple typically earn between $100,000 and $160,000 annually, depending on experience, location, and level. Senior roles or those with specialized skills in high-speed circuit design and simulation tools may earn higher salaries, often supplemented with bonuses and stock options.

How can I make $100,000 a year working from home?

A Signal Integrity Engineer working remotely can reach a $100,000 annual salary by gaining specialized skills in high-speed digital and RF design, obtaining relevant certifications, and accumulating several years of experience. Many companies offer remote roles with competitive pay for engineers with expertise in signal integrity analysis, simulation tools, and industry standards, often requiring a bachelor's or master's degree in electrical engineering. Building a strong professional network and continuously updating technical skills can also help achieve higher compensation levels.

What is a Signal Integrity Engineer?

A Signal Integrity Engineer is a professional who specializes in ensuring the quality and reliability of electrical signals in high-speed digital circuits and systems. They analyze and address issues such as noise, interference, crosstalk, and electromagnetic compatibility to prevent signal degradation. Their work often involves modeling, simulation, testing, and troubleshooting to optimize the performance of printed circuit boards (PCBs) and interconnects. Signal Integrity Engineers play a crucial role in industries like telecommunications, consumer electronics, and automotive systems, especially as data rates and system complexity increase.
What are the most commonly searched types of Signal Integrity Engineer jobs in Virginia? The most popular types of Signal Integrity Engineer jobs in Virginia are:
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Signal Integrity Engineer Remote jobs near you
AI/ML Engineer, Senior - WFH1659

AI/ML Engineer, Senior - WFH1659

Global InfoTek, Inc.

Reston, VA • On-site, Remote

$150 - $200/hr

Full-time

Posted 16 days ago

Job description

Clearance Level: Public Trust
US Citizenship: Required
Job Classification: 1099/Consultant ($150 - $200 per hour)
Location: Remote
Years of Experience: 5-7 years of relevant experience
Education Level: BS or MS in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related quantitative field. Experience may be considered in place of education requirement.
Briefly Describe the Work:
GITI is seeking a Senior AI/ML Engineer to support an R&D program focused on passive RF emitter identification and network analysis from real-time sensor data streams. The Senior AI/ML Engineer designs, builds, and validates machine learning models for RF emitter identification, conducts hands-on exploratory data analysis on NDF (Network Description File) sensor datasets, and implements ML data pipelines that operate on constrained tactical edge hardware. Working under the direction of the Principal AI/ML Engineer and program technical lead, the candidate collaborates closely with research scientists and software engineers to translate analytical findings into reproducible, well-documented ML experiments and pipeline components. The role requires strong Python and deep learning skills, comfort with real-world noisy sensor data, and the ability to work in air-gapped Linux environments without cloud infrastructure or GPU acceleration.
Responsibilities:
  • Design, build, and validate machine learning models for RF emitter identification - including feature engineering from sensor data, training pipeline development, model evaluation, and iterative refinement based on results
  • Conduct hands-on exploratory data analysis on RF sensor datasets using Python and Jupyter notebooks - writing and running analytical code, characterizing feature distributions, identifying data quality issues, and producing documented findings
  • Implement and maintain ML data pipelines - ingesting NDF sensor streams, applying rollup and preprocessing logic, constructing training datasets, and ensuring pipeline correctness on constrained edge hardware with no cloud dependency
  • Collaborate with the technical lead and Principal AI/ML Engineer to investigate RF sensor data quality, attribution reliability, and feature behavior under contention - writing code to characterize error sources, validate assumptions, and reproduce findings
  • Produce clear technical documentation of experiments, model configurations, and results - maintaining reproducibility through disciplined versioning, and contributing to monthly status reports and team knowledge sharing

Career level with a complete understanding and wide application of machine learning principles and data science techniques. Working under general direction from the Principal AI/ML Engineer, executes independently on assigned modeling and analysis tasks, contributes to pipeline development, and produces reproducible, well-documented results. Bachelor's or Master's (or equivalent) with 5-7 years of hands-on applied experience.
Required Skills:
  • 5+ years of hands-on applied experience in machine learning, data science, or RF signal processing
  • Demonstrated proficiency in Python for ML and data science work - PyTorch or TensorFlow for model development, Pandas/NumPy for data manipulation, and scikit-learn or similar for evaluation and baseline modeling
  • Hands-on experience designing, training, and evaluating deep learning models - particularly metric learning, Siamese networks, or other similarity-learning architectures - on real-world, noisy, imbalanced datasets
  • Practical experience handling real-world data quality problems - missing values, label noise, class imbalance, systematic bias, and sensor artifacts - and the ability to diagnose and address them without discarding valid data
  • Ability to develop and run ML pipelines on Linux-based systems without cloud infrastructure or GPU acceleration - optimizing for CPU-only inference and multi-threaded data processing on resource-constrained x86 hardware

Desired Skills:
  • Familiarity with RF signal characteristics, passive receiver phenomenology, and sensor data interpretation - including awareness of processing artifacts, attribution ambiguities, and measurement limits common in signals intelligence datasets
  • Hands-on experience applying machine learning - particularly metric learning, deep learning networks, or similarity-learning architectures - to RF or time-series signal data, including feature engineering, training pipeline development, and model validation
  • Exposure to TDMA network protocols or military datalink systems, and interest in learning the signal processing challenges of dense, contested electromagnetic environments
  • Familiarity with direction-finding, time-difference-of-arrival (TDOA), or related passive geolocation concepts - understanding of their mathematical foundations and common failure modes is more important than operational experience
  • Experience with binary serialization formats (FlatBuffers, Protocol Buffers) and high-throughput sensor data pipelines operating in near-real-time on resource-constrained hardware
  • Background in statistical signal processing - error ellipses, bearing estimation uncertainty, feature reliability under noise - with the ability to distinguish statistically significant findings from artifacts of small sample size or improper normalization

Relevant Certifications:
  • Certifications in machine learning, data science, or related technical fields (e.g., TensorFlow Developer Certificate; PyTorch Certified Associate; AWS Certified Machine Learning - Specialty; Microsoft Certified: Azure AI Engineer Associate; Certified Analytics Professional (CAP); etc.)

Global InfoTek, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
About Global InfoTek, Inc. Global InfoTek Inc. has an award-winning track record of designing, developing, and deploying best-of-breed technologies that address the nation's pressing cyber and advanced technology needs. GITI has rapidly merged pioneering technologies, operational effectiveness, and best business practices for over two decades.

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