Top Remote C++ Jobs in Washington, DC

Develop cross-platform native C++ abstractions for the Unity Editor across Windows, macOS, and Linux. Maintain and modernize the existing codebase, support new operating-system features and design guidelines, troubleshoot difficult platform issues using native debuggers, and collaborate with product managers and worldwide engineering teams to plan and deliver editor experiences.

Designs, develops, tests, documents, and maintains scalable software and bioinformatics pipelines. Builds data models, ETL processes, APIs, microservices, databases, dashboards, and workflow integrations supporting genomic analysis such as assembly, mapping, variant calling, and annotation. Collaborates with analysts, scientists, clinical reviewers, laboratory staff, and developers to translate requirements into production-ready solutions. Optimizes queries and performance, applies CI/CD and testing practices, and ensures maintainable, well-documented software.

Own and improve ARM and AArch64 emulation support, including instruction semantics, operating-system behavior, ABI variants, system calls, memory management, and execution environments. Diagnose differences between native, QEMU, and analysis-engine execution; improve performance, determinism, observability, and reliability; and develop regression testing. Debug complex binaries and firmware while contributing expertise in low-level systems, binary analysis, fuzzing, and symbolic execution.

Develop and improve Azure Kubernetes Service capabilities across Linux and Windows, building reliable container orchestration and cloud infrastructure at global scale. Responsibilities include advancing Kubernetes components, improving service quality, accelerating engineering velocity, automating incident prevention and remediation, and integrating AI tools into development workflows. The role focuses on distributed systems, containers, Kubernetes, DevOps tooling, and AI/ML workload infrastructure.

Design, build, test, deploy, and operate secure, reliable, scalable software and production services. Partner with customers and stakeholders to translate business needs into technical solutions, lead technical workstreams, and deliver outcomes end-to-end. Apply engineering best practices including code review, automated testing, CI/CD, observability, and documentation. Preferred work includes deploying AI or LLM solutions using cloud AI platforms, model evaluation, monitoring, and data-quality practices.

Design and develop silicon photonics integrated circuits and optical engines for coherent optical transport systems. Lead PIC architecture, link budget optimization, device characterization, design verification, design-for-test, and design-for-manufacturing activities. Collaborate across photonics, RFIC/EIC, DSP, packaging, product engineering, foundry, and testing teams. Apply optical engineering, RF testing, programming, and physics expertise to deliver high-performance, manufacturable photonic solutions.

Leads architecture, development, deployment, and operations for Python backend services supporting internal penetration testing. Designs scalable ETL pipelines, distributed workflows, relational data models, SQL queries, GraphQL APIs, and graph-based attack-path data systems. Owns reliability, observability, performance, and production operations while coordinating cross-team initiatives. Provides technical direction, writes architecture documentation, mentors engineers, and partners with frontend, product, data, and attack teams to deliver customer-facing security results.

Provides technical leadership for architecture and evolution of large-scale distributed data platforms supporting Azure network telemetry. Designs streaming and batch systems, establishes reusable engineering patterns, drives cross-team technical strategy, and owns capabilities from design through production operations. Ensures scalability, reliability, security, performance, data quality, and operational excellence while mentoring engineers and influencing technical leaders. The role also involves architectural reviews, dependency management, risk reduction, and applying AI or machine learning approaches to operational systems.

Designs and implements compiler, runtime, and system software for Microsoft AI accelerator devices. Responsibilities include transforming code through LLVM IR, developing JIT compilation and dynamic code-generation features, deploying application code, and collaborating with hardware architects and ML developers. The role requires hands-on C/C++ and Python development, optimized systems-level programming, Unix-like platforms, and compiler framework experience.

Designs and develops software to automate onboarding, validation, management, tracking, and lifecycle operations for new hardware deployed in Microsoft datacenters. Responsibilities include requirements analysis, system design, coding, debugging, optimization, reliability engineering, monitoring, on-call support, and incident response. The role collaborates with Azure teams and stakeholders while improving scalability, security, availability, observability, and performance across cloud and distributed systems.

Leads architecture and production delivery of a near-real-time observability platform for large-scale AI supercomputers. Responsibilities include telemetry ingestion, processing, storage, querying, topology and health modeling, 1P/3P data convergence, AI-assisted anomaly detection, technician dashboards, repair validation, security, reliability, cross-team technical leadership, and mentoring.

Develop and maintain software integrations connecting Cribl’s stream processing engine with systems such as Splunk, Elasticsearch, Kafka, and cloud storage platforms. Research third-party technologies, build robust Node.js and TypeScript code, create automated and integration tests, and collaborate with engineering, product, design, and business teams. Participate in code reviews, documentation, customer support, and a 24/7 on-call rotation.

Designs, develops, and supports scalable backend services, REST and gRPC APIs, automated testing, monitoring, and continuous delivery. Leads system architecture and technical initiatives, performs code reviews, mentors engineers, troubleshoots production issues, and documents designs and operational procedures. The role also supports major customer implementations and integrations on the IBM iSeries platform while collaborating with product, engineering, and customer stakeholders.

Designs and integrates tactical networked communications solutions involving SATCOM, terrestrial wireless, SD-WAN, and open system interfaces. Supports rapid prototyping, systems engineering, cybersecurity infrastructure, and customer-focused troubleshooting. Develops technical designs and white papers, monitors emerging technologies, collaborates with engineering teams and customers, and briefs senior leadership on complex technical matters. The role requires a Secret clearance, U.S. citizenship, technical certifications, and 25–30% travel.

Develop, integrate, debug, and maintain embedded software on Linux platforms using C, C++, and Python. Support processor and board bring-up, device control, networking, hardware interfaces, automated testing, documentation, laboratory and field testing, and customer demonstrations. Collaborate with software, hardware, RF, FPGA, DSP, systems, and test engineers across xG and mixed-signal product development.

Develop and optimize embedded Linux software for Xilinx Zynq UltraScale+ platforms using PetaLinux. Responsibilities include BSP and kernel configuration, device-driver development, FPGA/software integration, hardware bring-up, board validation, performance tuning, diagnostics, and system testing. The engineer collaborates with FPGA, DSP, RF, and hardware teams on mission-critical military communications systems, supports lab and field integration, and produces technical documentation. Travel of 25–30% may be required.

Design, simulate, implement, and verify FPGA logic for wireless, mixed-signal, RF, and embedded platforms. Develop reusable hardware modules, testbenches, and verification procedures; use vendor tools for synthesis, timing analysis, programming, and debugging. Support FPGA and board bring-up, high-speed interfaces, signal-processing implementations, embedded Linux integration, laboratory testing, documentation, and customer-funded R&D. Collaborate with DSP, RF, software, systems, and test engineers across the product lifecycle.

Research and analyze vehicle network signals, OEM telematics data, wiring diagrams, and field logs to expand vehicle telemetry coverage. Capture and interpret vehicle network data using live debugging, log analysis, scraping, reverse engineering, and custom scripts. Validate solutions on vehicles and at customer locations, document findings, and collaborate with global engineering and product teams to support new telematics capabilities.

Lead architecture and hands-on development for Microsoft's virtualization platform, focusing on hypervisor and VMM capabilities. Design, implement, and optimize systems software across Windows, Linux, macOS, Azure, and containers. Improve performance, security, reliability, testing, and operational readiness; diagnose low-level hardware/software issues; enable virtualization on new silicon; mentor engineers; and influence platform strategy across teams and hardware partners.

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.

Lead the design and development of Azure Compute Fleet capabilities that orchestrate Virtual Machine Scale Sets across regions. Build distributed control-plane services, APIs, and workflows for capacity placement, scaling, failover, and lifecycle management. Collaborate across Azure engineering teams, drive AI-enabled engineering improvements, participate in on-call operations, and improve reliability, observability, performance, and recovery for hyperscale cloud services.

Design and maintain distributed Lance dataset operations, develop high-performance indices and data formats, and improve query performance across Spark, Ray, and Trino. Contribute Rust-based table formats and encodings, integrate Lance with major open-source data infrastructure systems, operate internal data processing infrastructure, and promote the project through open-source communities and conferences.

Leads systems engineering for embedded, electro-mechanical medical devices. Defines requirements, architecture, interfaces, and traceability; leads design reviews, risk management, verification and validation; collaborates across mechanical, electrical, software, quality, and regulatory teams; and supports FDA 510(k), PMA, and EU MDR submissions.

Build and improve Azure Kubernetes Service capabilities for Linux and Windows containers. Develop distributed cloud infrastructure, automation, observability tooling, and reliability improvements at global scale. Support AI-native infrastructure, including GPU orchestration, model deployment, inference, and platform operations. Accelerate engineering workflows, prevent production incidents, integrate AI tools, and contribute to Kubernetes and cloud-native platform innovation.

Develop and modify Android system services, privileged APIs, and OS-level AI integrations. Build interfaces for AI agents to interact with Android functionality while managing permissions, IPC, application lifecycles, background execution, performance, and resource consumption. Collaborate with agent engineers and debug Android Framework or AOSP components. Preferred experience includes custom ROMs, AOSP contributions, C++, System UI, background services, and power management.