Top Remote C++ Jobs in Washington, DC

Lead firmware and embedded software development for AI-powered video safety products. Architect scalable embedded systems, integrate camera and real-time edge computing capabilities, deploy CV/ML models, and guide technical decisions. Collaborate with hardware, cloud, machine learning, and product teams on next-generation devices and complex multi-team projects. Maintain production systems, improve testing and release infrastructure, mentor engineers, and support products from development through mass production.

Lead a team of firmware and ML engineers developing, optimizing, and deploying AI models on edge devices. Set technical strategy for embedded systems, latency, power, memory, and model performance; provide hands-on leadership; partner with Product and Hardware teams to ship mass-production products; shape roadmaps; and hire, mentor, and develop engineering talent.

Design, implement, and optimize MongoDB database integrations, Change Data Capture and streaming capabilities, and observability systems. Develop high-performance C++ services, contribute to query engine and distributed systems architecture, lead projects from design through production support, and collaborate with product and engineering teams on technical roadmaps.

Lead development of scalable Java backend applications and high-availability cloud services. Design architectures, REST APIs, databases, caching systems, and distributed session infrastructure. Mentor engineers, drive technical initiatives, address performance and scalability challenges, and uphold quality and automation practices for endpoint management products.

Design, build, operate, and scale cloud-native systems supporting Falcon Complete cybersecurity analysts. Responsibilities include developing web services and data pipelines, improving monitoring and reliability, automating operational tasks, collaborating with stakeholders, translating feature requests into requirements, and participating in 24/7 on-call rotations. The role involves distributed systems, microservices, databases, messaging platforms, container orchestration, and AI-enabled workflow improvements in a remote, asynchronous environment.

Lead the MinuteClinic Product Engineering team in building reliable, cloud-native software for patient and provider experiences. Own engineering roadmaps, technical direction, distributed systems architecture, AI capabilities, production reliability, and modernization across applications, APIs, and kiosks. Hire, coach, and develop engineers while partnering with product, clinical, security, and infrastructure stakeholders. Remain hands-on through architecture, coding, prototyping, code reviews, and complex production investigations.

Develop and optimize GPU-accelerated quantum computing simulators for NVIDIA CUDA-Q. Build simulation components, quantum circuit and operator representations, execution interfaces, Python bindings, and resource management. Improve performance, memory use, CPU-GPU movement, and multi-GPU scaling. Collaborate with SDK, research, product, and open-source teams while implementing simulation methods such as state-vector, tensor-network, stabilizer, and open-system dynamics approaches.

Designs and delivers cloud-based software solutions for government customers using modern engineering practices. Partners with customers, Microsoft product teams, and open-source communities to develop scalable solutions. Leads architecture and design, mentors engineers, drives cross-product project and release plans, and serves as a designated responsible individual for system reliability, monitoring, and on-call support.

A 12-week unpaid fellowship providing hands-on training in Palantir Foundry and AIP. Participants attend live virtual instruction, complete technical projects, engage with Palantir engineers and leadership, and earn a professional certification. The program seeks builders with technical experience in software, data, automation, process improvement, prototyping, or related fields. Exceptional performers may interview for roles at Palantir or partner companies.

Designs and delivers cloud-based software solutions with strategic customers and Microsoft product teams. Leads requirements definition, architecture, dependency identification, design documentation, and development of maintainable code. Mentors engineers, contributes to open-source assets, coordinates project and release plans, and serves as a designated responsible individual for system reliability, monitoring, on-call support, performance, and operational improvements.

Leads the technical vision, architecture, and execution of AI performance, framework, benchmarking, and developer-productivity initiatives. Drives cross-team architecture, resolves complex systems trade-offs, mentors technical leaders, and contributes hands-on through prototyping, implementation, reviews, debugging, observability, and automation. Delivers measurable improvements in model onboarding speed, runtime performance, reliability, hardware utilization, and Azure capacity efficiency across models, frameworks, compilers, runtimes, systems, services, and hardware.

Own rapid-response experiments and integration across AI hardware, software, and customer teams. Run LLM inference workloads on simulators and hardware emulators, profile performance, analyze counters and traces, and explain bottlenecks. Support host-side runtime and driver integration, then convert investigations into reusable models, scripts, experiments, and regression tests. The role requires strong systems programming, hardware proximity, Linux proficiency, and the ability to deliver repeatable results from loosely defined requests.

Build the developer platform enabling AI coding agents to operate Positron AI’s chip simulators. Responsibilities include designing MCP servers, APIs, CLIs, agent workflows, CI guardrails, golden-reference testing, static analysis, reproducible runs, provenance tracking, and evaluation systems. The role partners with architecture and engineering teams to automate model bring-up and ensure agent-produced changes are verified before integration.

Design and own multi-chip distributed simulation infrastructure for AI inference accelerators. Build host-to-chip and chip-to-chip simulators, model communication timing and failure modes, compose simulations across fidelity levels, scale runs to full racks, and correlate results with emulation and hardware measurements. Collaborate with chip modeling, SDK, and runtime teams while developing primarily in Rust, C/C++, and Python.

Provides principal-level technical leadership for scalable learning and skilling platforms. Designs architectures, writes and reviews production software, leads full software lifecycles, and applies Azure, AI, Copilot, Power Platform, and custom solutions. Responsibilities include secure integrations, CI/CD, infrastructure as code, testing, observability, production support, Responsible AI, reusable components, cross-team technical alignment, and engineering mentorship.

Build and deliver business services, APIs, customer-facing applications, and integrations for mission-critical space analytics products. Develop both backend services and rich interactive user interfaces, deploy software to cloud and on-site environments, integrate with data platforms, and contribute across the full software development lifecycle. Collaborate within an Agile team, participate in code reviews, support production operations, and provide on-call coverage during critical escalations.

Provides technical leadership for designing, coding, and operating hyperscale Azure Storage services. Builds high-performance storage servers, supports emerging hardware and AI workloads, improves efficiency, availability, durability, resiliency, observability, and performance, and resolves system bottlenecks. The role requires hands-on expertise in low-level storage systems, datapath, kernel-mode programming, distributed systems, and operating systems, along with independent architecture and technical decision-making.

Supports semiconductor product and test engineering across product development, qualification, manufacturing, cost optimization, and quality. Responsibilities include troubleshooting, developing test specifications, managing documentation, designing and debugging test hardware and software, correlating test results, creating interface and measurement circuits, and collaborating cross-functionally to resolve product and customer issues.

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.

Design and build distributed services for Azure Storage deployment orchestration and the Armada platform. Develop automated deployment workflows with validation, rollout controls, failure recovery, and monitoring. Own technical designs, write secure and tested code, conduct reviews, diagnose production issues using telemetry, and improve reliability, scalability, and performance. Collaborate across teams, provide operational support, and apply AI tools responsibly throughout the software development lifecycle.

Design and develop software to onboard hardware accelerators and improve cluster-level storage performance. Collaborate across teams, produce design docs, implement and optimize code, perform tuning and RCA, act as DRI, and participate in on-call operations and scaling/validation efforts.

Lead and mentor software engineering teams building scalable AI-enabled learning and skilling platforms. Own architecture, software delivery, quality, security, reliability, and operational excellence across the full lifecycle. Partner with product, operations, and engineering stakeholders to define roadmaps, manage dependencies, and deliver Azure-based solutions. Guide responsible AI adoption, CI/CD, automated testing, infrastructure as code, observability, and production support while remaining hands-on in technical design and code reviews.

Develop and evaluate embedded systems, firmware, kernel, device driver, RTOS, and hardware engineering tasks for generative AI model development. Create reference solutions, benchmarks, and evaluation rubrics; assess AI-generated technical outputs for correctness, performance, reliability, safety, and feasibility. Collaborate with AI research and engineering teams to identify knowledge gaps and improve model performance.

Create and evaluate repository-based backend coding tasks for advanced AI models. Responsibilities include designing debugging, feature, API, refactoring, and performance challenges; building reproducible environments and deterministic verifiers; developing reference solutions; evaluating task quality; and documenting requirements and verification criteria.

Build and ship reliable full-stack software for high-stakes hospital workflows. Own projects end-to-end across product, machine learning, data pipelines, cloud and on-prem infrastructure. Develop backend and frontend features, APIs, integrations, and database systems while collaborating with product and clinical users. Contribute to prototyping, testing, weekly enhancements, and team culture. The role is remote-first across Europe and the US, with international travel to hospitals required.