Top Remote C++ Jobs in Washington, DC

Lead the design, development, testing, deployment, and maintenance of software applications. Collaborate with cross-functional teams, translate requirements into technical specifications, improve existing codebases, conduct peer reviews, and mentor junior developers. The role requires software development, programming, SQL databases, cloud services, CI/CD pipelines, DevOps practices, and Agile experience.

Develop and implement embedded software and systems for aerospace devices. Responsibilities include coding, testing, troubleshooting, software quality assurance, system efficiency and stability analysis, and I/O performance optimization. Interns work with hardware and embedded technologies while receiving mentorship and professional development. The role is available at multiple U.S. locations and includes relocation benefits and short-term housing for eligible interns.

Develop and implement embedded software and devices for aerospace systems. Responsibilities include analyzing system efficiency and stability, optimizing I/O performance, supporting software quality assurance, and coding, testing, and troubleshooting system software. The intern will work with embedded hardware and software technologies while receiving hands-on experience, mentorship, relocation benefits, and short-term housing when eligible.

Design and own Ditto’s networking and transport stack for mesh systems, including routing, connectivity, protocols, and edge platforms. Re-architect networking components for scalability and performance, debug reliability and synchronization issues, optimize concurrency and resource usage, and develop resilient protocol abstractions for unreliable networks. Establish observability for production diagnostics while collaborating in a distributed team.

Join MongoDB's Query Execution team to improve the database's core execution engine, build high-performance query features, and mentor team members. You will drive roadmap initiatives and ensure production-ready code for complex analytical workloads.

Deploy and integrate Shield AIs Hivemind autonomy software with customers worldwide. Provide on-site technical support, training, debugging, and documentation. Collaborate with sales and product engineering to support pre- and post-sales activities and improve autonomy products.

Design and implement secure, scalable backend services for voice agents, integrate AI models and telephony, improve inference, debug concurrent systems, and collaborate with Product to deliver features end-to-end.

R&D intern developing and validating compiler features for high-performance computing. Responsibilities include analyzing CPU/GPU performance, reading PTX and LLVM assembly, implementing hardware intrinsics and mathematical algorithms, fixing compiler bugs, creating benchmarks and demos, and writing technical documentation. The role requires strong C++ or C# skills, understanding of memory management and object-oriented programming, and interest in CUDA, OpenMP, GPU architecture, algorithms, and numerical methods.

Develop compiler and high-performance computing solutions that translate .NET and Java bytecode into optimized CUDA and ROCm code for CPUs and GPUs. Analyze customer algorithms, design parallel implementations, extend compilation infrastructure, build reusable libraries, and optimize throughput and latency. Apply expertise in GPU programming, compiler architecture, mathematics, and software engineering to deliver performance matching or exceeding hand-tuned binaries.

Own and maintain native C++ build systems for autonomous aircraft. Improve developer velocity by reducing build/test cycle time, integrate CI with HIL and simulation, implement monitoring and alerts, troubleshoot build/test failures, and collaborate with engineers to design and deploy DevEx/DevOps solutions.

Design and implement secure, scalable backend services for speech inference and audio processing. Optimize networking, transcoding, latency, memory, and distributed compute orchestration. Measure and improve system performance, debug complex networking/scheduling/HPC issues, customize services for customers, and partner with Product to deliver features end-to-end.

Provide advanced technical support for large MongoDB customers across the full MongoDB ecosystem (server, drivers, Atlas, Cloud Manager). Troubleshoot performance, architecture, recovery, security and storage issues end-to-end, develop support tools, mentor new hires, and liaise with product and engineering teams. Work EST shifts with a weekend shift expectation after ramp and participate in occasional off-hours coverage or regional events.

Design, develop, and modernize enterprise-scale applications, RESTful APIs, microservices, and distributed systems. Build cloud-neutral solutions across AWS and Azure, support legacy application migrations, participate in architecture and code reviews, troubleshoot production issues, document technical designs, and mentor engineers. The role emphasizes scalable, secure, high-performance backend systems, technical leadership, and engineering best practices.

Develop and operate high-throughput, low-latency telemetry pipelines and cloud services for Azure AI/HPC infrastructure. Build observability, monitoring, analytics, and automation capabilities; own architecture through deployment and operations; and lead incident response, root-cause analysis, reliability improvements, and operational readiness. Partner across engineering and platform teams, influence technical roadmaps, mentor engineers, and apply distributed systems, AI infrastructure, and cloud operations practices at hyperscale.

Design, build, test, and operate production-grade, secure, and scalable software and services. Partner with customers to translate requirements into technical designs, drive engineering best practices (CI/CD, testing, observability), deliver end-to-end solutions, lead technical workstreams, and apply AI/LLM approaches where appropriate to produce production-ready outcomes.

Define architectural direction for Azure Specialized platform services and lead the design of highly available distributed cloud systems. Drive reliability, scalability, observability, security, diagnostics, and operational improvements across engineering organizations. Establish service health frameworks, SLOs, metrics, and governance for mission-critical services. Mentor engineers, influence technical strategy, resolve complex cross-system challenges, and advance AI-assisted troubleshooting and platform modernization.

Lead backend TypeScript development and maintain services used by ~5M users. Contribute to full-stack features, code reviews, architecture discussions, mentor engineers, and collaborate with PM/design to build React-based web and mobile experiences.

Develop and improve MongoDB’s distributed database networking and observability components. Responsibilities include writing production-level C++ code, enhancing performance, availability, scalability, and resource efficiency, integrating observability frameworks, leading medium-sized projects, collaborating across the product lifecycle, and participating in code reviews and technical design. The role requires strong software architecture fundamentals and an interest in networking, observability, and computer systems internals.

Design, implement, debug, and ship features for Azure Storage front end at cloud scale. Drive design, dependency identification, automation, reliability, observability, and on-call incident response while collaborating with stakeholders and mentoring engineers.

Develop and operate automation for Azure datacenter processes, including workload migration, server decommissioning, orchestration, planning, validation, and monitoring. Design, implement, optimize, debug, and refactor software while improving reliability, observability, efficiency, and performance. Collaborate with infrastructure and partner teams, act as an on-call designated responsible individual, resolve service issues, and guide other engineers.

Design, implement, and operate core components of Azure Storage, focusing on metadata and data services for a hyperscale distributed file system. Build reliable, durable, and cost-efficient storage platforms using DPUs, optimize OS and networking (TCP/RDMA), participate in design, on-call DRI duties, and drive reliability and performance improvements.

Lead modernization of a 30-year-old Store Management System by reverse engineering EZC file-based platforms, migrating data and applications to PostgreSQL, and developing enterprise C/C++ software. Responsibilities include architecture, systems integration, APIs, ETL, performance optimization, troubleshooting, documentation, and maintaining business continuity. The role also applies AI-assisted development tools for code analysis, documentation, testing, and modernization while mentoring teams and supporting legacy and modern environments.

Lead frontend architecture and implementation for Slate's digital customer experience. Drive design, code, testing, and delivery across web and mobile, mentor engineers, collaborate with UX/product, and make long-term technical trade-offs to ensure reliability and scalability.

Lead the design and evolution of cloud-native platforms, distributed systems, and infrastructure services at large scale. Define architecture across compute, networking, storage, datacenter, and AI infrastructure environments. Improve automation, lifecycle management, observability, reliability, security, and developer productivity. Guide technical strategy across engineering organizations while contributing to GPU, HPC, bare-metal, networking, and distributed computing platforms. Mentor engineers and foster technical excellence through architecture reviews and cross-organizational collaboration.

Leads technical initiatives and designs, builds, operates, and improves scalable distributed systems. Collaborates across organizations, drives maintainability and performance, evaluates emerging technologies, delivers iterative releases, and mentors engineers. Requires polyglot full-stack development, strong SQL and distributed systems expertise, cloud experience, communication skills, and quarterly or as-needed travel. Preferred experience includes event-driven architectures, AI-assisted development, Kafka, APIs, containers, infrastructure as code, monitoring, CI/CD, and agile methodologies.