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Remote Computer Science Teaching Jobs in Longmont, CO

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related ... However, we are open to remote candidates who meet the qualifications and can work effectively from ...

Integration Developer

Westminster, CO ยท Remote

$50.75 - $67.25/hr

Remote Reports to: Director, Business Systems Employment Type: Full-Time FLSA Classification ... Bachelor's degree in Computer Science, Information Systems, Software Engineering, or equivalent ...

New

Aerospace, Mechanical, Electrical, Systems), Computer Science, Physics, or equivalent combination ... Familiarity with satellite-based remote sensing and Earth observations techniques. * Familiarity ...

Aerospace, Mechanical, Electrical, Systems), Computer Science, Physics, or equivalent combination ... Familiarity with satellite-based remote sensing and Earth observations techniques. * Familiarity ...

Senior Controls Engineer

Fort Collins, CO ยท On-site +1

$115K - $155K/yr

Lead onsite and remote startup and commissioning activities, including development and execution of ... Formalized training and/or education in Industrial Automation, Engineering, Computer Science or MIS ...

Bachelor's degree in a technical field (e.g., Computer Science, Information Systems, Cybersecurity). * 5+ years of experience in Information Security, with at least 3 years focused on application ...

AI Training Specialist - Physics

Boulder, CO ยท On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Delineate between substantive scientific issues and stylistic or cosmetic matters, providing ...

Senior Network Automation Engineer

Boulder, CO ยท Remote

$107K - $147K/yr

This position is remote and can be based anywhere in the US or Canada** Responsibilities: Alarming ... Bachelor's degree in Computer Science, Network Engineering, or a related field. * Minimum of eight ...

Showing results 41-60

Remote Computer Science Teaching information

See Longmont, CO salary details

$36.1K

$64.7K

$120.1K

How much do remote computer science teaching jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote computer science teaching in Longmont, CO is $64,721.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,900.00 and $68,700.00 per year, depending on experience, location, and employer.

What is remote computer science teaching?

A Remote Computer Science Teaching job involves instructing students in computer science topics through online platforms. Teachers may create lesson plans, deliver lectures, assign and grade coursework, and provide support to students virtually. This role can be found in schools, universities, coding bootcamps, or private tutoring. Strong communication skills, technical expertise, and proficiency with online teaching tools are essential.

What are the key skills and qualifications needed for remote computer science teaching?

To thrive as a Remote Computer Science Teacher, you need a deep understanding of programming languages, algorithms, and pedagogy, typically supported by a degree in computer science or a related field and teaching credentials. Familiarity with online learning platforms such as Zoom, Google Classroom, and course management systems, along with certifications like CompTIA or teaching licenses, is beneficial. Exceptional communication, patience, and organizational skills help engage students and facilitate effective online instruction. These skills ensure quality virtual education, student engagement, and the ability to adapt to diverse learning needs in a remote environment.

What are some common challenges faced in remote computer science teaching, and how can they be addressed?

Remote computer science teaching often presents challenges such as maintaining student engagement, ensuring academic integrity, and managing varied technical skill levels. Instructors can address these by incorporating interactive lessons, using real-time coding platforms for hands-on practice, and offering frequent virtual office hours for student support. Additionally, clear communication of expectations and leveraging collaborative tools like shared documents or discussion boards can foster a supportive online classroom environment. Embracing flexibility and continuous learning about new educational technologies also greatly contributes to a positive teaching and learning experience.

What are popular job titles related to Remote Computer Science Teaching jobs in Longmont, CO?

For Remote Computer Science Teaching jobs in Longmont, CO, the most frequently searched job titles are:

What job categories do people searching Remote Computer Science Teaching jobs in Longmont, CO look for?

The top searched job categories for Remote Computer Science Teaching jobs in Longmont, CO are:

What cities near Longmont, CO are hiring for Remote Computer Science Teaching jobs?

Cities near Longmont, CO with the most Remote Computer Science Teaching job openings:

Infographic showing various Remote Computer Science Teaching job openings in Longmont, CO as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $64,721 per year, or $31.1 per hour.

Systems Engineer, Platform

VDURA

Longmont, CO โ€ข On-site, Remote

Full-time

Re-posted 21 days ago


Job description

VDURA is redefining high-performance data infrastructure for AI, HPC, and data-intensive workloads. Building on our heritage as the creators of PanFS, VDURA is delivering next-generation parallel file system solutions designed for extreme scale, performance, and reliability across modern compute environments. Our platforms integrate cutting-edge server, storage, and networking technologies to power some of the most demanding workloads in the world.
 
Role Overview
VDURA is seeking a Senior System Engineer to lead the specification, selection, and qualification of server, storage, and networking platforms used in VDURA parallel file system solutions. This role is critical to ensuring our hardware platforms meet the performance, scalability, reliability, and cost objectives required for AI and HPC workloads.
 
You will work closely with software engineering, QA, product management, and external partners to define reference architectures, evaluate emerging technologies, and qualify platforms for both internal development and customer deployment.
 
Key Responsibilities
  • Define and own system architectures for VDURA parallel file system solutions, including compute, storage, and networking components
  • Specify, evaluate, and select server, storage, and networking platforms from OEMs and technology partners for current and next-generation products
  • Lead hardware bring-up, qualification, and validation efforts in collaboration with software, QA, and lab teams
  • Recommend continuous improvement changes to the platform definition based on vendor roadmaps and customer feedback.
  • Develop build and test instructions for integration and manufacturing partners.
  • Drive performance characterization of platforms, including throughput, latency, IOPS, failover behavior, and scalability under real-world workloads
  • Partner with software teams to ensure optimal alignment between hardware capabilities and PanFS datapath and control planes
  • Work directly with OEMs, IHVs, and component vendors on roadmap alignment, issue resolution, and joint qualification efforts
  • Support customer engagements by providing platform guidance, configuration recommendations, and technical deep dives as needed
  • Contribute to lab infrastructure planning and ensure test environments reflect future customer-facing configurations
 
Required Qualifications
  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field (Master’s preferred)
  • 10+ years of experience in hardware engineering, systems engineering, or platform architecture roles
  • Strong hands-on experience specifying, benchmarking and qualifying servers, storage systems, and high-performance networking platforms
  • Engineering experience with: 
    • x86 server architectures
    • Storage – SAS, SATA, NVMe 
    • Networking – Ethernet, InfiniBand, RDMA, TCP, UDP 
    • Multicore – NUMA, memory management, caching 
    • PCIe Gen5/6
    • Hypervisor technologies – particularly KVM
  • Experience working with HPC, AI, or large-scale storage systems
  • Proven ability to collaborate cross-functionally with software, QA, and product teams
  • Comfortable working with vendors and partners at both technical and roadmap levels
  • Strong analytical, documentation, and communication skills
 
Preferred Qualifications
  • Experience with parallel file systems, distributed storage, or scale-out data platforms
  • Familiarity with GPU-accelerated systems and AI infrastructure requirements
  • Experience with storage benchmarking tools and workload characterization
  • Prior exposure to customer-facing technical roles or field engineering support
  • Experience building or managing lab environments for system qualification
 
Location: We strongly prefer candidates in Pittsburgh, PA or Denver, CO. However, we are open to remote candidates who meet the qualifications and can work effectively from a remote location.
 
VDURA Culture & Values
At VDURA, we’re committed to transforming data into the catalyst for groundbreaking human advancements. We’re looking for collaborative and innovative minds to join our team and help us drive this mission forward. If you’re passionate about mastering complex challenges, driving innovation, and making a tangible impact on the world, VDURA is the place for you. Join us and be part of a vibrant, “can do” culture where every individual has the potential to make a real impact on our business success.
 
At VDURA, we value diversity and are proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.