ZipRecruiter

Log In

1

Computer Engineering Research Assistant Jobs in Missouri

Pro Energy Services

CAD Designer

Sedalia, MO · On-site

$24.75 - $34/hr

CAD Designer About PROENERGY PROENERGY is an engineering, R&D, and manufacturing powerhouse. The company addresses every need for fast-start power generation: turbine and package manufacturing ...

Pro Energy Services

CAD Designer

Sedalia, MO · On-site

$24.75 - $34/hr

CAD Designer About PROENERGY PROENERGY is an engineering, R&D, and manufacturing powerhouse. The company addresses every need for fast-start power generation: turbine and package manufacturing ...

Jobtailor

Staff AI Engineer

California, MO · On-site

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related ... Passion for current AI research and AI systems, and ability to apply novel techniques in production

New

Cerebras

Staff Research Engineer

California, MO · On-site

Turing accelerates frontier research with high-quality data, specialized talent, and training ... Environments for Software Engineering / coding agents * UI-Environments for Computer-Use/Browser ...

New

previous pagenext page

Showing results 21-40

All JobsComputer Engineering Research JobsComputer Engineering Research Assistant JobsComputer Engineering Research Assistant Jobs in Missouri

Computer Engineering Research Assistant information

What does a computer engineering research assistant do?

A Computer Engineering Research Assistant supports senior researchers and faculty by helping design, conduct, and analyze experiments related to computer engineering topics such as hardware, software, embedded systems, or networking. Their tasks often include programming, data collection, setting up laboratory equipment, and reviewing technical literature. They may also assist in writing research papers, preparing presentations, and managing project documentation. This role provides hands-on experience in advanced computer engineering concepts while contributing to research advancements.

What types of projects do computer engineering research assistants typically contribute to, and how do they collaborate with faculty and graduate students?

Computer Engineering Research Assistants often work on projects involving hardware design, embedded systems, machine learning applications, or network protocols. They typically assist with experimental setups, data collection, coding, and literature reviews. Collaboration is key; research assistants regularly meet with faculty and graduate students to discuss progress, troubleshoot challenges, and refine research objectives. This teamwork fosters a supportive environment and offers valuable learning opportunities, helping assistants build both technical and communication skills that are essential for career advancement.

What are the key skills and qualifications needed to thrive as a computer engineering research assistant, and why are they important?

To thrive as a Computer Engineering Research Assistant, you need a strong background in computer engineering fundamentals, programming, and data analysis, typically supported by progress toward a relevant degree. Familiarity with tools such as MATLAB, Python, simulation software, and version control systems is often required, along with experience using laboratory equipment. Excellent problem-solving abilities, attention to detail, and effective communication skills help you collaborate with research teams and present findings clearly. These skills and qualities are crucial for contributing meaningfully to research projects, ensuring accurate results, and supporting innovation within the field.

What is the difference between Computer Engineering Research Assistant vs Electrical Engineering Research Assistant?

AspectComputer Engineering Research AssistantElectrical Engineering Research Assistant
Required CredentialsBachelor's or Master's in Computer Engineering or related fieldBachelor's or Master's in Electrical Engineering or related field
Work EnvironmentLaboratories, research centers, academic institutionsLaboratories, research centers, academic institutions
Employer & Industry UsageUniversities, tech companies, research labsUniversities, power companies, electronics firms
Common Search & ComparisonYesYes

The main difference between a Computer Engineering Research Assistant and an Electrical Engineering Research Assistant lies in their specialization. Computer Engineering RAs focus on hardware-software integration, embedded systems, and computer architecture, while Electrical Engineering RAs work on circuits, power systems, and electronics. Both roles typically require similar educational backgrounds and are found in academic and research settings, but their specific projects and industry applications differ.

What cities in Missouri are hiring for Computer Engineering Research Assistant jobs?

Cities in Missouri with the most Computer Engineering Research Assistant job openings:

Infographic showing various Computer Engineering Research Assistant job openings in Missouri as of June 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 100% In-person job distribution.

Senior Manager, AI Engineer - Gen AI Platform Services, Agentic AI, Guardrails, Evaluation

California, MO • On-site

Jobtailor
See more jobs at Jobtailorexternal

Other

Posted 4 days ago

Job description

  • Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
  • Oversee design, development, testing, deployment, and support of AI software components, including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
  • Make build-vs-buy decisions across open-source and SaaS AI technologies
  • Invent and introduce LLM optimization techniques to improve scalability, cost, latency, and throughput of production AI systems
  • Contribute to the technical vision and long-term roadmap of foundational AI systems
  • Attract and retain AI talent and nurture the personal and professional development of the team
  • Foster a culture of learning and staying abreast of the state of the art in AI
Requirements
  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in those fields plus at least 4 years of experience
  • At least 1 year of people leadership experience
  • 3 years of experience managing and leading an engineering team (preferred)
  • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (preferred)
  • Experience developing AI and ML algorithms or technologies using Python, C++, C#, Java, or Golang (preferred)
  • Passion for staying abreast of the latest AI research and AI systems and applying novel techniques in production (preferred)
  • Excellent communication and presentation skills (preferred)
  • Capital One will consider sponsoring a new qualified applicant for employment authorization
Core Competencies

Demonstrates expertise in developing and deploying AI and ML algorithms, with a strong focus on scalability, cost optimization, and team leadership. Proven ability to foster a culture of innovation and continuous learning in AI technologies.

Highest-signal resume keywords
  • AI And ML Algorithm Development
  • People Leadership Experience
  • Cloud Platform Deployment
  • Python Programming
  • LLM Optimization Techniques
Hard Skills
  • AI Software Development
  • Machine Learning Algorithms
  • Foundation Model Training
  • LLM Inference
  • Similarity Search
  • Model Evaluation
  • Experimentation
  • Governance
  • Observability
  • Scalable AI Solutions
Soft Skills
  • Excellent Communication Skills
  • Team Development
  • Collaboration
  • Presentation Skills
  • Culture of Learning
Industry Keywords
  • AI-Powered Products
  • Technical Vision
  • Long-Term Roadmap
  • Build-Vs-Buy Decisions
Tools & Technologies
  • Open-Source AI Technologies
  • SaaS AI Technologies
  • Cloud Platforms
  • AI Research Techniques
#J-18808-Ljbffr

Apply