2

Remote Audio Programmer Jobs in Virginia (NOW HIRING)

Our expertise spans traditional electrical contracting, security solutions, audio-visual ... Bachelor's Degree in Engineering "preferred" * Extensive experience in commercial construction ...

Our expertise spans traditional electrical contracting, security solutions, audio-visual ... Bachelor's Degree in Engineering "preferred" * Extensive experience in commercial construction ...

next page

Showing results 1-20

Remote Audio Programmer information

What are the key skills and qualifications needed to thrive as a Remote Audio Programmer, and why are they important?

To thrive as a Remote Audio Programmer, you need strong programming skills in languages like C++ or C#, a solid understanding of digital audio concepts, and a relevant degree or equivalent experience in computer science or audio engineering. Familiarity with audio middleware (such as FMOD or Wwise), version control systems (like Git), and digital audio workstations is typically required. Excellent problem-solving abilities, self-motivation, and effective remote communication skills help individuals excel in this role. These competencies are essential for developing robust audio solutions, collaborating efficiently with distributed teams, and ensuring high-quality sound integration in media projects.

How does a Remote Audio Programmer typically collaborate with team members across different locations?

Remote Audio Programmers regularly use project management tools, version control systems, and communication platforms to stay connected with audio designers, developers, and producers. Collaboration often involves participating in virtual meetings, sharing code and assets through repositories, and providing feedback on audio implementation. Clear documentation and proactive communication are crucial for ensuring that audio features align with project goals, especially when working across time zones. This remote setup fosters a flexible environment but requires strong self-motivation and organizational skills.

What is a Remote Audio Programmer?

A Remote Audio Programmer is a software developer who specializes in creating, implementing, and optimizing audio systems for digital products such as video games, mobile apps, or multimedia software, while working remotely. Their responsibilities may include developing audio engines, integrating sound effects and music, and ensuring high-quality audio performance across platforms. They often collaborate with audio designers, composers, and other developers to achieve the desired sound experience. Working remotely allows them to contribute from anywhere with a suitable internet connection. This role requires strong programming skills, typically in languages like C++ or C#, and a solid understanding of digital audio concepts.

What is the difference between Remote Audio Programmer vs Remote Sound Designer?

AspectRemote Audio ProgrammerRemote Sound Designer
Required SkillsProgramming, audio integration, scriptingSound creation, editing, mixing
Work EnvironmentGame development, software companies, multimedia projectsMedia production, gaming, advertising
Common CertificationsProgramming certifications, audio engineeringSound design courses, audio engineering certifications

While both roles involve working with audio, a Remote Audio Programmer focuses on coding and integrating audio into software or games, whereas a Remote Sound Designer specializes in creating and editing sound assets. The roles often collaborate but require different skill sets and certifications, with the programmer emphasizing technical skills and the designer emphasizing creative sound work.

What are the most commonly searched types of Audio Programmer jobs in Virginia? The most popular types of Audio Programmer jobs in Virginia are:
What job categories do people searching Remote Audio Programmer jobs in Virginia look for? The top searched job categories for Remote Audio Programmer jobs in Virginia are:
What cities in Virginia are hiring for Remote Audio Programmer jobs? Cities in Virginia with the most Remote Audio Programmer job openings:
Infographic showing various Remote Audio Programmer job openings in Virginia as of May 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 14% Physical, and 86% Remote job distribution.
Principal MLOps Engineer with Security Clearance

Principal MLOps Engineer with Security Clearance

Raft

Mclean, VA • Remote

Other

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Job description

Principal MLOps Engineer Remote, US; DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S. Who we are: Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans. We’re looking for an experienced Principal ML Ops Engineer to support our customers and join our passionate team of high-impact problem solvers. About the role: Raft is building mission-critical AI and data platforms for the Department of Defense (DoD). Our systems ingest and process massive volumes of real-time data from hundreds of sensors and operational sources, transform that data into usable intelligence, and deliver it to operators through mission applications and common operational pictures that support time-sensitive decision-making. Our platform operates at scale, processing billions of events per day with low-latency data pipelines and cloud-native infrastructure. As Raft expands its AI capabilities, we are investing in a more mature end-to-end machine learning platform to support model development, evaluation, deployment, monitoring, and lifecycle management across both cloud and constrained operational environments. In this role, you will help design, deploy, and mature Raft’s ML platform and MLOps infrastructure. You will work across Kubernetes-based deployment environments, GPU-enabled infrastructure, model serving systems, CI/CD pipelines, and secure production operations to enable rapid and reliable delivery of machine learning capabilities. This role is ideal for someone who understands both the infrastructure needed to run ML systems in production and the practical needs of ML engineers building and deploying models. What you’ll do: Design, build, and maintain secure, scalable MLOps infrastructure and deployment pipelines for production ML systems Help mature Raft’s internal ML platform and model lifecycle capabilities, including model packaging, registry/catalog workflows, deployment, monitoring, and operational support Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters Support model serving and inference infrastructure for a range of ML use cases, including traditional ML, computer vision, speech/audio, and LLM-based systems Build and maintain CI/CD workflows for ML services, model artifacts, and platform components Partner closely with ML engineers, software engineers, and product teams to move models from experimentation to reliable operational deployment Improve observability, reliability, security, and maintainability across ML infrastructure and services Help evaluate and standardize runtime patterns, serving frameworks, and deployment architectures for production ML workloads Contribute to infrastructure decisions across edge, on-prem, and cloud-hosted deployment environments Support compliance-driven deployment practices and secure software supply chain requirements in defense environments Get hands-on with customers at the most forward-leaning places in the Department of War What we are looking for: 7+ years of relevant hands-on experience in software engineering, platform engineering, DevOps, MLOps, or related technical roles 5+ years of experience with Docker and Kubernetes in production environments 5+ years of experience supporting enterprise cloud infrastructure or applications in AWS, Azure, or similar environments Strong experience provisioning, operating, and troubleshooting Kubernetes clusters in production Experience building and maintaining machine learning platforms, infrastructure, or pipelines used by engineering or data science teams Practical experience deploying machine learning workloads on Kubernetes Experience managing clusters or workloads that use GPUs Strong understanding of Helm and Kubernetes deployment patterns Strong scripting or programming skills, preferably in Python Experience with modern software engineering practices including Git, CI/CD, DevOps, and Agile/Scrum workflows Strong troubleshooting, systems thinking, and communication skills Ability to work independently and collaboratively in a fast-moving environment Ability to obtain and maintain a Top Secret clearance Ability to obtain Security+ certification within the first 90 days of employment Highly preferred: Experience with ML model serving and inference platforms such as Triton Inference Server, KServe, Ray Serve, vLLM, or similar technologies Experience with secure and compliant deployment practices in regulated or government environments Experience with Kubernetes-based ML platforms such as Kubeflow Familiarity with service mesh technologies such as Istio Experience provisioning and debugging complex CI/CD systems Experience with infrastructure as code tools such as Terraform Familiarity with software supply chain security, container hardening, vulnerability management, and runtime scanning Experience supporting ML systems across multiple deployment environments, including cloud, on-prem, and edge Background working with machine learning engineers on model training, evaluation, packaging, and release workflows Familiarity with storage and artifact systems used in ML platforms, such as S3-compatible object stores, registries, and metadata/catalog system What success looks like: You help Raft stand up a more mature and repeatable ML platform for deploying and managing models in production ML engineers can move faster because deployment, serving, and platform workflows are clearer, more reliable, and easier to use Model deployments become more secure, observable, and supportable across real-world mission environments The organization gains stronger infrastructure for model lifecycle management, including deployment standards, runtime patterns, and platform ownership Clearance Requirements: Ability to obtain and maintain a Top Secret clearance  Work Type:  Remote in DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI Locations ONLY May require up to 40% travel Salary Range: $150,000.00 - $200,000.00 What we will offer you: Highly competitive salary Fully covered healthcare, dental, and vision coverage 401(k) and company match Take as you need PTO + 11 paid holidays Education & training benefits Annual budget for your tech/gadgets needs Monthly box of yummy snacks to eat while doing meaningful work Remote, hybrid, and flexible work options Team off-site in fun places! Generous Referral Bonuses * And More! Our Vision Statement:  We bridge the gap between humans and data through radical transparency and our obsession with the mission.  Our Customer Obsession:  We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies. How do we get there?  Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm.  Raft’s core philosophy is Ubuntu: I Am, Because We are. We support our “nadi” by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration.  We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Create a Job Alert Interested in building your career at Raft Company Website? Get future opportunities sent straight to your email.
Create alert Apply for this job indicates a required field Autofill with MyGreenhouse First Name Last Name Email Phone Country Phone 244 results found
No results found Afghanistan+93 Åland Islands+358 Albania+355 Algeria+213 American Samoa+1 Andorra+376 Angola+244 Anguilla+1 Antigua & Barbuda+1 Argentina+54 Armenia+374 Aruba+297 Ascension Island+247 Australia+61 Austria+43 Azerbaijan+994 Bahamas+1 Bahrain+973 Bangladesh+880 Barbados+1 Belarus+375 Belgium+32 Belize+501 Benin+229 Bermuda+1 Bhutan+975 Bolivia+591 Bosnia & Herzegovina+387 Botswana+267 Brazil+55 British Indian Ocean Territory+246 British Virgin Islands+1 Brunei+673 Bulgaria+359 Burkina Faso+226 Burundi+257 Cambodia+855 Cameroon+237 Canada+1 Cape Verde+238 Caribbean Netherlands+599 Cayman Islands+1 Central African Republic+236 Chad+235 Chile+56 China+86 Christmas Island+61 Cocos (Keeling) Islands+61 * Colombia+5