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Remote Machine Learning Compiler Engineer Jobs in Radford, VA

ABB

Sales Operations Specialist

Bland, VA · Remote

The work model for the role is : #LI-Remote on the Eastern/Central US with occasional travel to ... Partner with Sales, Supply Chain, Finance, Engineering, and Product Management to align forecasts ...

ABB

VFD Technical Support Specialist

Bland, VA · Remote

The work model for the role is: remote, in the United States, supporting the Motion Drive Products ... Collaborate with engineering, field service, sales, and product teams to resolve complex technical ...

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Remote Machine Learning Compiler Engineer information

See Radford, VA salary details

$71.2K

$159K

$194.7K

How much do remote machine learning compiler engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for remote machine learning compiler engineer in Radford, VA is $159,048.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,800.00 and $194,700.00 per year, depending on experience, location, and employer.

What is a remote machine learning compiler engineer?

A Remote Machine Learning Compiler Engineer is a software engineer who specializes in developing and optimizing compilers specifically for machine learning workloads, while working from a remote location. Their primary responsibilities include designing and implementing compiler features that translate machine learning models into efficient code for various hardware platforms, such as CPUs, GPUs, or specialized accelerators. They collaborate closely with machine learning researchers, hardware engineers, and software developers to ensure high performance and compatibility. In addition to strong programming skills, they typically require expertise in compiler theory, machine learning frameworks, and hardware architectures. This role allows for flexible, location-independent work while contributing to cutting-edge AI technologies.

How does a remote machine learning compiler engineer typically collaborate with cross-functional teams to optimize model deployment?

As a Remote Machine Learning Compiler Engineer, you will frequently collaborate with data scientists, hardware engineers, and software developers to ensure that machine learning models are efficiently compiled and deployed on target platforms. Communication often takes place through virtual meetings, code reviews, and shared documentation tools. You'll be responsible for translating research models into optimized code, troubleshooting performance bottlenecks, and integrating feedback from various stakeholders. Effective teamwork is crucial, as the success of deployments often depends on iterative feedback and close alignment with both the ML research and hardware teams.

What are the key skills and qualifications needed to thrive as a remote machine learning compiler engineer, and why are they important?

To thrive as a Remote Machine Learning Compiler Engineer, you need a strong background in computer science, proficiency in programming languages like C++ and Python, and expertise in compiler theory and machine learning frameworks. Familiarity with ML compilers such as TVM or XLA, and experience using version control and CI/CD systems are commonly required, along with a relevant bachelor's or master's degree. Outstanding problem-solving, collaboration, and communication skills are essential for working effectively in distributed teams and across technical domains. These skills and qualities enable the development of efficient, scalable ML solutions that bridge software and hardware, ensuring high performance and innovation.

What is the difference between Remote Machine Learning Compiler Engineer vs Remote Data Scientist?

AspectRemote Machine Learning Compiler EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Software Engineering, or related fields; knowledge of compiler design and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming, statistics, and data analysis
Work EnvironmentPrimarily software development, compiler optimization, and ML model deploymentData analysis, model building, and interpretation of results
Industry UsageTech companies, AI startups, hardware firms focusing on ML hardware accelerationTech, finance, healthcare, and research organizations

While both roles involve working with machine learning, the Remote Machine Learning Compiler Engineer focuses on developing and optimizing compilers for ML models, whereas the Remote Data Scientist concentrates on analyzing data and building predictive models. The roles share some technical skills but differ in their core responsibilities and work environments.

What are the most commonly searched types of Machine Learning Compiler Engineer jobs in Radford, VA?

The most popular types of Machine Learning Compiler Engineer jobs in Radford, VA are:

What job categories do people searching Remote Machine Learning Compiler Engineer jobs in Radford, VA look for?

The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Radford, VA are:

What cities near Radford, VA are hiring for Remote Machine Learning Compiler Engineer jobs?

Cities near Radford, VA with the most Remote Machine Learning Compiler Engineer job openings:

Remote Machine Learning Compiler Engineer jobs near you
Infographic showing various Remote Machine Learning Compiler Engineer job openings in Radford, VA as of June 2026, with employment types broken down into 87% Full Time, 8% Part Time, 2% Temporary, and 3% Contract. Highlights an 50% Physical, 3% Hybrid, and 47% Remote job distribution, with an average salary of $159,048 per year, or $76.5 per hour.

IT Help Desk Technician (Remote)

Radford, VA • Remote

Thompson & Litton Inc
Specialized Design Services • 51 - 200 employees
Learn more about Thompson & Litton Incexternal

$64K - $90K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Are you a mid-level IT professional looking to expand your foundation in systems administration, network engineering, and infrastructure? Thompson & Litton, an established multi-disciplined firm, has an immediate opening for an IT Support Technician. If you are ready to build on your core support experience and step into infrastructure management, we want a self-motivated individual to grow within our dynamic internal team.

While this role serves as a primary point of contact for our 9 offices and 400+ endpoints, it is designed with a strong technical growth trackoffering direct exposure to networking, server administration, and cybersecurity workflows alongside senior IT staff.

The Role: Support & Systems Administration

As part of our internal IT team, you will manage diverse technology environments and work directly with senior staff to maintain and scale our technical infrastructure. You will:

  • Provide Advanced Technical Support: Serve as a key escalation point for support requests via phone, ticketing system, and in-persondiagnosing and resolving complex Windows 10/11, hardware, and network-related issues.
  • Support AEC Production Workflows: Manage specialized production software environments, including AutoCAD, Revit, and Bluebeam (licensing, application integration, plugin conflicts, and large-format plotting workflows).
  • Manage Users & Workstations: Lead account administration in Active Directory / Entra ID, streamline workstation deployment and imaging, and manage hardware life cycles across the firm.
  • Maintain Infrastructure & Networks: Assist with wired and wireless network administration (Cisco, Ubiquiti), manage firewalls (pfSense), and support Windows Server and Linux (RHEL) configuration, maintenance, and security patching.
  • Maintain Systems & Security: Enforce IT security practices, verify system backup integrity, maintain detailed technical documentation, and participate in a rotating after-hours/on-call schedule to support critical operations.

What You Bring

  • Experience: Proven mid-level IT support experience in a professional or enterprise environment (3+ years preferred).
  • Technical Skills: Strong proficiency in Windows OS troubleshooting, Active Directory / Microsoft 365 administration, workstation hardware management, and core networking concepts (DNS, DHCP, IP routing, Wi-Fi, network printers).
  • Bonus Exposure: Familiarity with CAD/design environments (AutoCAD, Revit, Bluebeam), Cisco/Ubiquiti hardware, pfSense firewalls, or Windows/Linux server environments (CompTIA A+, Network+, or Microsoft certifications are a plus).
  • Communication & Logistics: Strong problem-solving and customer service skills, with the ability to clearly translate complex technical issues for non-technical staff; valid driver's license and willingness to travel occasionally between regional office sites.
  • Physical Ability: Capability to lift and move IT equipment up to 40 lbs.

The T&L Advantage: Why Join Us?

Joining our team means becoming part of a forward-thinking organization committed to providing an environment where our employees can thrive.

  • Flexible Working Environment: We prioritize work-life balance and offer a remote-hybrid opportunity that combines hands-on regional office collaboration with the flexibility of working remotely.
  • Tailored Career Development: We do not restrict you to basic ticket-closing; we focus on mentorship, giving you hands-on exposure to server, network, and security operations to help you build a full systems administrator skill set.
  • Innovative Work Environment: We foster a culture of innovation and collaboration, where ideas are valued and creativity is encouraged.
  • Professional Growth: We invest in your continuous learning, offering internal mentorship, skill development opportunities, and career advancement within our generalist IT team.
  • Competitive Compensation: We offer a competitive salary and comprehensive benefits package, including an Employee Stock Ownership Plan (ESOP), to reward your dedication