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Temporary Computer Vision Deep Learning Engineer Jobs in Rockledge, FL

Bachelor's or Master's degree in Computer Science, Engineering, Geomatics, Physics, or a related ... Familiarity with 3D geometry, spatial analysis, and computer vision techniques. * Ability to ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of programming fundamentals including variables, data types, control structures ...

Deep knowledge of data structures, algorithms, object-oriented programming, computer architecture ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Deep knowledge of Java programming including primitive types, objects, boolean expressions ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

As a senior technical leader, you will leverage deep technical specialization, strategic vision ... Computer Science, Data Science, Engineering, Mathematics, or related technical field - Minimum of ...

Software Developer 1

Orlando, FL · On-site

$30 - $37/hr

A keen interest in learning new languages, frameworks, and technologies. Responsibilities: * As a ... Solid understanding of Computer Vision and Neural Network concepts. * Understanding of relational ...

Applications Engineer

Melbourne, FL · On-site

$75K - $100K/yr

This role demands a unique blend of technical proficiency, problem-solving skills, and a deep ... Bachelor's degree in Computer Science, Software Engineering, or a related field * Solid ...

Showing results 21-40

Temporary Computer Vision Deep Learning Engineer information

See Rockledge, FL salary details

$42.3K

$106K

$119.9K

How much do temporary computer vision deep learning engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for temporary computer vision deep learning engineer in Rockledge, FL is $105,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,300.00 and $114,700.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Computer Vision Deep Learning Engineer vs Computer Vision Engineer?

AspectTemporary Computer Vision Deep Learning EngineerComputer Vision Engineer
CredentialsBachelor's or Master's in CS, AI, or related; experience with deep learning frameworksBachelor's or Master's in CS, AI, or related; experience with computer vision tools
Work EnvironmentProject-based, short-term contracts, often in tech or research firmsFull-time, ongoing roles in tech companies, startups, or research labs
Industry UsageCommon in consulting, research projects, or temporary assignmentsStandard role in product development, AI solutions, and software engineering

The main difference is that a Temporary Computer Vision Deep Learning Engineer works on short-term projects focusing on deep learning techniques for computer vision, while a Computer Vision Engineer typically holds a permanent position involved in ongoing development of computer vision applications. The temporary role emphasizes flexibility and project-specific skills, whereas the full-time role involves continuous integration into a company's long-term projects.

Infographic showing various Temporary Computer Vision Deep Learning Engineer job openings in Rockledge, FL as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $105,987 per year, or $51 per hour.

Deep Space Logistics Engineering Support Spec

Qualis LLC

Merritt Island, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


Job description

Qualis LLC is seeking a Deep Space Logistics Engineering Support Specialist at NASA Kennedy Space Center (KSC) in Merritt Island, Florida. The Deep Space Logistics Engineering Support Specialist will provide technical expertise and insight, surveillance, systems engineering, analysis, and mission operations support to the Gateway Deep Space Logistics (DSL) Project at NASA KSC. This role will focus primarily on supporting NASA’s GLS IDIQ contract, delivering end-to-end services for cargo and payload delivery to cislunar destinations, including the Lunar Gateway, in line with the DSL Insight and Surveillance Plan.

Essential Duties:

  • Mission-Direct Support: Evaluate GLS Provider’s designs, analyses, testing, manufacturing, assembly, integration, verification, validation, and mission preparations for compliance with program requirements and industry best practices. Perform independent analyses, participate in engineering and logistics reviews, and present evaluations for requirements verification closure and mission readiness.
  • Fleet Management: Assess spacecraft and ground systems throughout the GLS mission lifecycle, conduct model-based systems engineering (MBSE) activities, and provide CAD/Geometric Dimensioning and Tolerancing capability. Support independent verification/validation of CAD and engineering models, failure trend evaluation, and participation in anomaly investigations.
  • Integrated System Performance: Develop and simulate vehicle and subsystem mathematical models using defensible, validated codes. Collaborate with program and project teams to ensure hardware qualification and test adequacy based on analytical findings.
  • Exploratory Concepts: Support the development of new mission concepts and services beyond the Gateway, leveraging current expertise to advance NASA’s exploration objectives.
  • (Optional) Project Management & Administrative Support: May include risk management coordination, logistics board/review management, documentation maintenance, administrative, integration, and coordination services as needed.

Required Qualifications:

  • Systems Engineering (including MBSE)
  • CAD design and analysis (2D/3D)
  • Expertise in at least one or more of the following disciplines: Avionics, Electrical, Propulsion, Mechanical, Thermal, Software, Quality, Safety, EMC/EMI, RF, Environmental Control, Human Systems
  • Technical writing and report generation
  • Strong communication and collaboration skills, with ability to interact with NASA, GLS Providers, international partners, and other stakeholders
  • Familiarity with NASA project documentation, systems, and risk management tools (e.g., ARM, ERBIS, SharePoint)
  • Analytical problem-solving and troubleshooting in a complex engineering environment

Preferred Qualifications:

  • Bachelor’s or Master’s degree in Engineering, Physics, or related technical field
  • Experience with deep space, cislunar, or ISS logistics operations
  • Experience supporting NASA or other governmental space programs
  • Proficiency in Model-Based Systems Engineering methodologies

Benefits


Qualis LLC has a comprehensive benefits package based on employment type, location, and applicable agreements that includes:


  • Health, dental, and vision insurance
  • 401(k) match
  • Paid time off and Holidays
  • Educational, professional development and certification reimbursement.
  • Tax-saving options
  • Disability and Life Insurance


Qualis LLC is committed to hiring and retaining a diverse and talented workforce who can contribute to the mission and vision of the Company. Our employees are our greatest asset, and we promote a positive work environment, teamwork, professional growth, innovation, community involvement, flexible scheduling and a family-friendly work environment.

Equal Opportunity Employer/M/F/Vet/Disabled and a Participant in E-Verify.