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Remote Assembly Language Programmer Jobs (NOW HIRING)

Trend Micro

Reverse engineer and research network protocols, file formats, and software * Develop and verify ... At least two of C/C++, assembly language, Java, Python, and .NET * Ability to produce reliable ...

TMTG

Senior AI Engineer (Remote)

Sarasota, FL · Remote

$125K - $165K/yr

What We're Looking For * 5+ years of backend engineering experience in a statically typed language ... Experience building retrieval systems: vector search, embedding pipelines, context assembly, and ...

MatX

Software Engineer - Kernels

Mountain View, CA · On-site +1

$175K - $400K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Language: at least one of assembly, C++, C, Zig, or Rust * This is a hybrid role that will require ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

Vrtx

Principal Statistical Programmer

Boston, MA · Remote

$149K - $223K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Proficiency in all SAS language, procedures, and functions commonly used in clinical trial ... Remote-Eligible Flex Eligibility Status: In this Remote-Eligible role, you can choose to be ...

Muon Space

Senior Optomechanical Engineer

Mountain View, CA · On-site +1

$166K - $223K/yr

... infrared remote sensing instruments. The ideal candidate is a self-motivated engineer with a ... Support optical instrument assembly, integration, and test (AI&T) planning and implementation ...

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How much do remote assembly language programmer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for remote assembly language programmer in the United States is $39.54, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $51.44 per hour, depending on experience, location, and employer.

What is a remote assembly language programmer?

A Remote Assembly Language Programmer is a software developer who specializes in writing and maintaining code in assembly language while working from a remote location. Assembly language is a low-level programming language that is closely tied to a computer's hardware architecture, making it ideal for tasks that require high speed or direct hardware manipulation. These programmers typically work on embedded systems, device drivers, performance-critical applications, or legacy system maintenance. Being remote allows them to collaborate with teams worldwide using communication and version control tools. Strong knowledge of computer architecture and debugging tools is essential for this role.

What are the key skills and qualifications needed to thrive as a remote assembly language programmer?

To excel as a Remote Assembly Language Programmer, you need deep expertise in low-level programming, computer architecture, and debugging, often backed by a degree in computer science or related field. Familiarity with development tools like assemblers, debuggers, emulators, and version control systems such as Git is essential. Strong problem-solving skills, attention to detail, and self-motivation are crucial soft skills for working independently and troubleshooting complex code remotely. These abilities ensure reliable, efficient code development and successful collaboration in distributed technical teams.

How does collaboration typically work for remote assembly language programmers working with distributed teams?

As a remote Assembly Language Programmer, you will often collaborate with development teams, hardware engineers, and QA specialists through virtual meetings, code repositories, and project management tools. Clear communication is crucial, as you may need to clarify low-level technical requirements, review code, and troubleshoot issues together despite different time zones. Many teams use version control systems and documentation platforms to streamline code sharing and feedback. This setup allows for both independent focus and regular check-ins, ensuring alignment and productivity even when team members are geographically dispersed.

What is the difference between Remote Assembly Language Programmer vs Embedded Systems Developer?

AspectRemote Assembly Language ProgrammerEmbedded Systems Developer
Required CredentialsAssembly language proficiency, technical certificationsEmbedded systems knowledge, certifications in embedded development
Work EnvironmentRemote, software-focusedOn-site or remote, hardware and software integration
Industry UsageTech, defense, aerospaceConsumer electronics, automotive, medical devices
Common Search IntentAssembly programming, low-level coding jobsEmbedded system design, firmware development

The Remote Assembly Language Programmer primarily focuses on writing low-level code in assembly language, often for hardware-specific tasks, typically working remotely in tech or defense industries. In contrast, Embedded Systems Developers work on designing and implementing firmware for embedded devices, which may involve both hardware and software work, often in industries like automotive or consumer electronics. While both roles require technical certifications and knowledge of low-level programming, their work environments and industry applications differ.

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Remote Assembly Language Programmer jobs near you
Infographic showing various Remote Assembly Language Programmer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 1% Temporary, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $82,234 per year, or $39.5 per hour.

AI Programmer Analyst - Remote

Cyber Resource

New York, NY • Remote

Contractor

Posted 18 days ago

Job description

JOB DESCRIPTION
Designs, develops, evaluates, and implements enterprise AI solutions that address business challenges and improve operational outcomes. Possesses both a strong understanding of AI concepts, model architectures, and emerging technologies, as well as hands-on experience developing AI applications using enterprise-approved AI platforms, frameworks, and development tools. Demonstrates the ability to assess and apply diverse AI model types including large language models (LLMs), machine learning models, agent-based frameworks, retrieval-augmented generation (RAG), and other AI technologies to deliver practical business value. Has real-world experience taking AI initiatives from problem definition and requirements gathering through solution design, model selection, implementation, testing, deployment, monitoring, and continuous improvement.

Primary Responsibilities:
Partner with business and technology teams to identify and evaluate opportunities for AI-driven solutions
Design, prototype, develop, test, and deploy AI applications and intelligent automation solutions
Evaluate and select appropriate AI models, frameworks, and architectures to meet specific business objectives
Develop and refine prompts, workflows, agents, and retrieval strategies to improve AI solution effectiveness
Integrate AI capabilities with enterprise systems, databases, APIs, and business processes
Monitor AI solution performance, accuracy, reliability, and adoption, and recommend improvements as needed
Ensure compliance with enterprise security, governance, privacy, and Responsible AI standards
Document solution designs, technical specifications, key decisions, testing results, and implementation procedures
Stay current with emerging AI technologies, tools, and industry best practices, and recommend adoption where appropriate
Achieve assigned deliverables with high quality within defined budgets and timelines
Ability to interface with technology managers and business users throughout the company
Design and implement AI-driven monitoring pipelines that ingest server, database, and application logs to predict system anomalies, suggest real-time resolutions, and automate post-incident root-cause analysis


Experience 2 - 10 years
Job Site Remote
Organization Unit IT WORK
Management Solutions IT Solutions Delivery
Job Category Information Technology

TECHNICAL SKILLS
Must Have Ability to evaluate, compare, and select appropriate AI technologies based on business and technical requirements
Experience integrating AI solutions with enterprise systems, APIs, databases, and business applications
Experience with cloud-based AI services and enterprise AI platforms
Experience working with Large Language Models (LLMs), Retrieval Augmented Generation (RAG), AI Agents, prompt engineering, and model orchestration frameworks
Git, DevOps, CI/CD practices, and version control
Hands-on experience with Azure AI, Microsoft Copilot Studio, Gemini Enterprise, Spark AI development platforms, frameworks, and tools
Python development and AI-related libraries/frameworks SQL and data analysis skills
Strong understanding of AI/ML concepts, model evaluation techniques, model limitations, and responsible AI practices

Nice To Have
Experience applying AI/ML to IT operations (AIOps), specifically in predictive log analysis, automated incident remediation, and automated root-cause analysis