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Remote Digital Signal Processing Engineer Jobs in Missouri

Jobgether

Process and transform high-volume platform data into reliable datasets and signals that can support ... Benefits * 100% remote work with flexible working hours and designated core collaboration hours.

Steris Corporation

Director, Engineering (Remote)

MO · On-site +1

Address process capability, throughput, yield, scrap, downtime, or reliability issues * Perform ... Certified Reliability Engineer Other: * Must have excellent leadership, interpersonal and ...

Jobgether

This fractional, remote leadership role offers the opportunity to shape digital strategy across a ... Opportunity to shape digital strategy, processes, standards, and growth systems across multiple ...

Varsity Tutors

Biomedical Engineering Tutor

Columbia, MO · Remote

$18 - $40/hr

Ability to explain signal processing for biosignals, finite element analysis, drug delivery systems, and medical device design principles while preparing students for biomedical engineering ...

Jobgether

You'll work closely with experienced engineers in a remote, collaborative environment where ... We use an AI-powered matching process to ensure your application is reviewed quickly, objectively ...

Stefanini Group

Security Engineer

Kansas City, MO · Remote

Stefanini is looking for a Security Engineer - Remote . For quick Apply, please reach out to ... processes, and creating documentation. * The Security Engineer will collaborate with the team to ...

Stefanini Group

Security Engineer

Kansas City, MO · Remote

Stefanini is looking for a Security Engineer - Remote . For quick Apply, please reach out to ... processes, and creating documentation. * The Security Engineer will collaborate with the team to ...

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All JobsDigital Signal Processing Engineer JobsRemote Digital Signal Processing Engineer JobsRemote Digital Signal Processing Engineer Jobs in Missouri

Remote Digital Signal Processing Engineer information

What is a remote digital signal processing engineer?

A Remote Digital Signal Processing (DSP) Engineer is a professional who designs, develops, and implements algorithms and systems for processing digital signals such as audio, video, radar, or sensor data, while working from a remote location. They use mathematical and computational techniques to analyze and manipulate signals to achieve desired outcomes, such as noise reduction, data compression, or feature extraction. Remote DSP Engineers typically collaborate with teams using digital tools, contribute to product development, and may work in industries such as telecommunications, audio engineering, medical imaging, or defense. Their role often involves programming, simulation, and testing of algorithms using languages like MATLAB, Python, or C/C++.

What are the key skills and qualifications needed to thrive as a remote digital signal processing engineer?

To thrive as a Remote Digital Signal Processing (DSP) Engineer, you need a solid background in electrical engineering, mathematics, and DSP theory, often supported by a bachelor's or master's degree in a related field. Familiarity with tools such as MATLAB, Python, C/C++, and DSP development environments, as well as experience with relevant certifications, is essential. Strong problem-solving abilities, self-motivation, and effective remote communication are standout soft skills for this role. These skills ensure accurate signal analysis, efficient project delivery, and seamless collaboration with distributed engineering teams.

What are some common challenges faced by remote digital signal processing engineers and how can they be addressed?

Remote Digital Signal Processing (DSP) Engineers often face challenges such as effective real-time collaboration with cross-functional teams, accessing specialized hardware for testing, and managing complex project documentation. To address these, many teams use collaborative platforms for code reviews, version control, and communication, as well as remote access to lab equipment or simulation tools. Proactive communication and clear documentation are essential for staying aligned with team goals and timelines, enabling remote DSP engineers to contribute effectively despite geographical distance.

What is the difference between Remote Digital Signal Processing Engineer vs Remote Audio Signal Processing Engineer?

AspectRemote Digital Signal Processing EngineerRemote Audio Signal Processing Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of DSP algorithmsBachelor's or Master's in Audio Engineering, Electrical Engineering, or related fields; expertise in audio processing
Work EnvironmentRemote, often in tech or telecommunications companiesRemote, mainly in music, media, or audio technology companies
Industry UsageTelecommunications, defense, consumer electronicsMusic production, broadcasting, audio hardware/software

The main difference is that Remote Digital Signal Processing Engineers focus on a broad range of signals like radio, radar, or telecommunications, while Remote Audio Signal Processing Engineers specialize in audio signals for music, media, and broadcasting. Both roles require strong DSP knowledge and often work remotely in tech-driven industries.

What are popular job titles related to Remote Digital Signal Processing Engineer jobs in Missouri?

For Remote Digital Signal Processing Engineer jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Remote Digital Signal Processing Engineer jobs in Missouri look for?

The top searched job categories for Remote Digital Signal Processing Engineer jobs in Missouri are:

What cities in Missouri are hiring for Remote Digital Signal Processing Engineer jobs?

Cities in Missouri with the most Remote Digital Signal Processing Engineer job openings:

Remote Digital Signal Processing Engineer jobs near you
Infographic showing various Remote Digital Signal Processing Engineer job openings in Missouri as of August 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 100% Remote job distribution.

Staff Engineer - Recommendations

Jobgether

On-site, Remote

Full-time

Medical, Retirement, PTO

Posted 11 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Engineer - Recommendations based in Netherlands.

This role focuses on building the data and machine learning foundations that power personalized discovery and social experiences at scale.
You will help evolve recommendation systems that connect users with relevant content, communities, groups, and events.
Working across data engineering, backend development, and personalization, you will design systems capable of processing large volumes of platform-generated data.
You will collaborate closely with data scientists, product managers, and engineers to turn behavioral signals into meaningful user experiences.
The role offers significant technical scope across cloud infrastructure, data pipelines, APIs, distributed systems, and ML-enabled applications.
You will also help advance personalization from simple heuristics toward increasingly sophisticated, data-driven recommendations.
This is an opportunity to make a direct impact on a highly interactive consumer platform within a distributed, collaborative engineering environment.

Accountabilities
  • Design, develop, maintain, and optimize scalable data pipelines, backend services, and APIs supporting recommendations, content discovery, groups, events, and other data-driven experiences.
  • Build data models and schemas that support both analytical workloads and real-time personalization and recommendation systems.
  • Partner with data scientists, product managers, and engineering teams to ensure relevant user and platform data is accurately captured, processed, and made available for product experiences.
  • Develop and maintain large-scale data processing workflows using technologies such as Spark and Kafka.
  • Help evolve recommendation capabilities from basic heuristics toward more sophisticated, data-backed personalization models.
  • Contribute to backend architecture and implementation, including REST and WebSocket APIs, caching systems, queueing infrastructure, and cloud orchestration.
  • Process and transform high-volume platform data into reliable datasets and signals that can support machine learning and personalization use cases.
  • Optimize data storage, processing, and database performance for both analytical workloads and high-throughput real-time applications.
  • Collaborate across a full-stack engineering environment to deliver reliable, scalable features from data layer through user-facing experiences.
  • Contribute to technical strategy and the evolution of engineering and product capabilities as recommendation and personalization needs grow.
  • Monitor production systems and participate in incident response, including occasionally supporting urgent troubleshooting during outages.
  • Promote strong engineering practices around scalability, reliability, maintainability, observability, and data quality.
Requirements
  • 3+ years of professional software engineering experience, with a strong focus on data engineering, backend systems, or scalable SaaS and online platforms.
  • Proven experience designing, building, and optimizing production-grade ETL/ELT data pipelines.
  • Strong SQL skills, including database optimization for analytical workloads and high-throughput real-time access.
  • Hands-on experience with big data technologies such as Spark, Kafka, Hadoop, or Beam.
  • Experience working with cloud platforms at scale, particularly AWS or Google Cloud.
  • Programming experience across technologies such as Python, JavaScript/Node.js, MongoDB, and Redis, with the ability to work effectively across multiple languages and systems.
  • Experience with Elasticsearch, data warehousing, and machine learning systems.
  • Strong understanding of scalable backend architecture, distributed data processing, APIs, caching, queues, and cloud infrastructure.
  • Ability to collaborate effectively with data scientists, product managers, engineers, and other cross-functional stakeholders.
  • Strong communication skills and an agile, collaborative mindset suited to a distributed engineering environment.
  • Bonus experience with content discovery, recommendation engines, personalization, social graphs, online communities, or user-generated content.
  • Experience building consumer products, e-commerce platforms, marketplaces, or social products is highly valued.
  • Interest or experience in virtual reality, online communities, or creator-driven platforms is a plus.
Benefits
  • 100% remote work with flexible working hours and designated core collaboration hours.
  • Health benefits.
  • 401(k) plan for eligible U.S. employees.
  • Stock options.
  • Generous paid holiday schedule.
  • Unlimited and flexible vacation time.
  • Paid parental leave.
  • Opportunity to work on large-scale recommendation, data, and personalization systems.
  • Collaborative and distributed environment where engineers can contribute to projects and influence technical direction.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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