2

Remote Biomedical Signal Processing Engineer Jobs in Spring, TX

We are headquartered in the greater Miami region, with remote teams spanning the U.S., Europe, and ... Strong understanding of digital communication systems, RF signal theory, IP network design, and ...

We are headquartered in the greater Miami region, with remote teams spanning the U.S., Europe, and ... Strong understanding of digital communication systems, RF signal theory, IP network design, and ...

... engineering applications. * Conceptual Teaching & Problem-Solving: Skilled at breaking down ... signal processing. * Curriculum Awareness & Adaptive Instruction: Familiar with trigonometry ...

Remote - Industrial Engineer

Houston, TX · Remote

$105K - $179K/yr

Support the design of storage and processing areas, develop new workflows and procedures, work ... Bachelor's Degree in Industrial Engineering or equivalent work experience. * Minimum of at least 3 ...

... engineering, physics, finance, and computational science applications. * Conceptual Teaching ... fluid dynamics, signal processing, and operations research contexts. * Curriculum Awareness ...

next page

Showing results 1-20

Remote Biomedical Signal Processing Engineer information

See Spring, TX salary details

$47.6K

$116.9K

$172.2K

How much do remote biomedical signal processing engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote biomedical signal processing engineer in Spring, TX is $116,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,600.00 and $131,300.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by remote Biomedical Signal Processing Engineers, and how can they be addressed?

Remote Biomedical Signal Processing Engineers often face challenges related to collaborating with interdisciplinary teams, ensuring data security, and accessing necessary hardware for testing algorithms. To overcome these, it's important to establish clear communication channels with colleagues, make use of secure data transfer protocols, and leverage remote access to lab equipment or simulators when possible. Regular virtual meetings and documentation can help maintain alignment with project goals and facilitate effective teamwork.

What does a Remote Biomedical Signal Processing Engineer do?

A Remote Biomedical Signal Processing Engineer analyzes and interprets physiological signals—such as ECG, EEG, or EMG—using advanced computational and mathematical methods. They work remotely to develop algorithms and software that aid in medical diagnostics, patient monitoring, and healthcare research. Their role often involves cleaning, filtering, and extracting meaningful information from complex biological data to support clinical decisions or scientific studies. Collaboration with medical professionals and teams is common, and strong knowledge of signal processing, biomedical engineering, and programming is essential.

What is the difference between Remote Biomedical Signal Processing Engineer vs Remote Medical Data Analyst?

AspectRemote Biomedical Signal Processing EngineerRemote Medical Data Analyst
Required CredentialsBachelor's or Master's in Biomedical Engineering, Electrical Engineering, or related fields; knowledge of signal processingBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentResearch labs, healthcare tech companies, hospitals; focus on signal dataHealthcare organizations, research institutions; focus on large datasets
Employer & Industry UsageMedical device companies, biotech firms, hospitalsHealthcare providers, research organizations, health tech startups

While both roles involve working with healthcare data, Remote Biomedical Signal Processing Engineers focus on analyzing and developing algorithms for biomedical signals like ECG or EEG. Remote Medical Data Analysts interpret large health datasets to derive insights. The roles differ mainly in technical focus and data types but often collaborate within healthcare tech environments.

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

To thrive as a Remote Biomedical Signal Processing Engineer, you need expertise in signal processing, biomedical engineering, and a strong background in mathematics and statistics, usually supported by a relevant degree. Familiarity with tools like MATLAB, Python (NumPy, SciPy), and experience with medical device data protocols and regulatory standards are commonly required. Strong problem-solving, self-motivation, and clear communication skills help you work effectively in a remote, interdisciplinary environment. These abilities are crucial for developing accurate, regulatory-compliant solutions that improve healthcare outcomes while collaborating remotely with diverse teams.
What are popular job titles related to Remote Biomedical Signal Processing Engineer jobs in Spring, TX? For Remote Biomedical Signal Processing Engineer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Remote Biomedical Signal Processing Engineer jobs in Spring, TX look for? The top searched job categories for Remote Biomedical Signal Processing Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Remote Biomedical Signal Processing Engineer jobs? Cities near Spring, TX with the most Remote Biomedical Signal Processing Engineer job openings:
Infographic showing various Remote Biomedical Signal Processing Engineer job openings in Spring, TX as of June 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $116,886 per year, or $56.2 per hour.

Sales Engineer, Energy

Quvia

Houston, TX • Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

Salary:

Job Title: Sales Engineer, Energy

Group:Energy


About Quvia:

Quvia is building the digital fabric between edge and cloud. Our platform uses AI and machine learning to orchestrate connectivity across satellite, terrestrial, and hybrid networks so customers can move and manage data in the world's most network constrained environments.


We partner with global leaders in aviation, maritime, energy and other industries where connectivity is variable and complex, and digital services depend on reliable data movement. As companies deploy AI, automation and data-driven systems at the edge, Quvia provides the platform needed to unlock the full potential of their data and build value above the network.


Quvia is a fast growing, Series A company backed by Colombia Capital ($5B+ in fund commitments. It is headquartered in the greater Miami are with offices in the UK and India.


Learn more atwww.quvia.aiandwww.linkedin.com/company/quvia.


Why Quvia?

  • Founded in 2019, we are a fast-growing, Series A tech startup passionate about making connectivity experiences better for everyone.
  • Our industry-first solutions are already addressing major challenges for companies in the travel and transportation industries-and we're just getting started.
  • As an early-stage company, new hires will have the opportunity to make a significant impact on our growth trajectory.
  • We are headquartered in the greater Miami region, with remote teams spanning the U.S., Europe, and India.
  • Quvia is backed by Columbia Capital, a respected venture capital firm founded in 1989 that has raised over $5 Bn of fund commitments.


About the Role

Quvia is seeking a Sales Engineer to lead the technical lifecycle of network and connectivity solutions for customers across the Energy & Shipping vertical in the US region. This is a customer-facing engineering role that blends deep technical expertise with commercial awareness, supporting the full solution lifecyclefrom requirements discovery, design, and proof of concept through deployment, validation, and post-implementation optimization.

You will serve as the technical lead and subject matter expert for Quvias products and network solutions. Working in close partnership with Sales, Product, and Engineering teams, youll ensure solutions are robust, scalable, and aligned to each customers operational and business needs. This role is ideal for someone who thrives at the intersection of engineering and customer engagement and is motivated by bringing technically elegant, high-performance solutions to production.


What You'll Do

  • Lead all technical phases of the customer journey, including discovery, system design, deployment planning, and post-launch optimization.
  • Act as a senior technical advisor to customers and partners, architecting IP-based and satellite-enabled network solutions tailored to their requirements.
  • Conduct in-depth technology assessments, feasibility analyses, and proof-of-concept testing for proposed designs.
  • Collaborate with cross-functional internal teamsSales, Product, Engineering, and Operationsto ensure solution integrity and seamless handoffs from design through execution.
  • Develop detailed technical documentation, design specifications, configuration guides, and performance evaluations.
  • Support deployments by providing technical oversight, troubleshooting support, and validation testing during implementation and go-live phases.
  • Analyze post-sales system performance data and customer feedback to identify optimization and future improvement opportunities.
  • Capture evolving technical requirements and field feedback to inform product roadmaps, network design refinements, and emerging technology adoption.
  • Participate in technical presentations, workshops, and customer training to build technical understanding and system adoption.
  • Maintain up-to-date knowledge of network infrastructure technologies, wireless communications, satellite systems, and IP networking best practices.


What Youll Need

  • Bachelors degree (or equivalent experience) in Electrical, Telecommunications, or Systems Engineering, or a related technical field.
  • At least 5 years of hands-on experience in telecommunications, mobile networks, or broadcast systems engineering.
  • Strong understanding of digital communication systems, RF signal theory, IP network design, and traffic management (QoS).
  • Experience deploying or managing VSAT platforms, IP routing, and transmission technologies (unicast/multicast, VoIP, IPsec).
  • Familiarity with wireless communications systems including Wi-Fi and cellular architectures.
  • Proven experience across both pre- and post-sales technical activities, with direct ownership of system design, deployment, and performance outcomes.
  • Excellent technical communication and documentation skills, able to convey complex engineering concepts clearly to both technical and non-technical audiences.
  • Comfort operating in multicultural, customer-facing environments, with the ability to travel up to 20% across the US.
  • High attention to detail and a solution-oriented mindset aimed at achieving long-term customer success.


What We'll Offer

  • Connectivity and content engineering and business knowledge
  • Opportunity to work in cross-functional teams
  • Competitive Salary
  • 401(k) with 100% match up to 4.0% after one year of service
  • Competitive health benefits, including optical and dental
  • Life Insurance
  • Performance Bonus
  • Flexible paid time off policy
  • Monthly Phone Allowance


Quvia will never ask to interview job applicants via text message or ask for personal banking information as part of the interview process. Quvia will never ask job applicants or new hires to send money or deposit checks for the company. In case of doubt, please contact us directly at katy@quvia.ai.


Quvia Inc. is an Equal Opportunity Employer. Employment opportunities at Quvia Inc. are based upon one's qualifications and capabilities to perform the essential functions of a particular job. All employment opportunities are provided without regard to race, religion, sex (including sexual orientation and transgender status), pregnancy, childbirth or related medical conditions, national origin, age, veteran status, disability, genetic information, or any other characteristic protected by law.