Top Remote C++ Jobs in Atlanta, GA

Build secure, reliable cloud and AI software solutions from prototype through production. Partner directly with customers and multidisciplinary teams to translate business goals into technical requirements, architect scalable services, and deliver measurable outcomes. Provide technical leadership, mentor engineers, establish reusable frameworks, apply responsible engineering practices, and support deployment, observability, adoption, and knowledge transfer. The role may involve designing and operating AI or LLM-based systems and traveling up to 25%.

Build and maintain developer workflows, CI/CD and deployment automation, containerized development environments, SDK packaging and release pipelines, AI performance dashboards, and productivity tools. Design scalable software and developer tools for novel hardware platforms, collaborate with hardware and ML teams, manage C++ codebases, establish engineering standards, and optimize software delivery and production readiness.

Lead development of AI infrastructure for large-scale GPU training and inference. Design workload scheduling, serving, orchestration, resource governance, failover, and multitenant Kubernetes platforms. Build reliable C# and Go services, optimize GPU fleet performance, and drive observability, diagnostics, and production operations. Provide technical leadership, architectural direction, mentoring, and cross-team collaboration across cloud infrastructure, hardware, networking, and AI deployment teams.

Design and develop silicon photonic integrated circuits and optical engines for coherent transport and pluggable optics. Responsibilities include PIC architecture, link-budget analysis, device characterization, design-for-test and manufacturability, RF and optical testing, simulation, and cross-functional collaboration with packaging, DSP, foundry, and product engineering teams.

Build and operate production-grade software, APIs, workflows, and user experiences for Microsoft’s cloud datacenter inventory and asset management platforms. Responsibilities include translating ambiguous operational needs into technical solutions, applying AI-native engineering practices, improving automation, ensuring reliability and security, and owning features through design, implementation, deployment, monitoring, and continuous improvement. The role collaborates with product, program, datacenter operations, supply-chain, and engineering teams.

Build and operate AI-powered automation, CI/CD systems, distributed services, developer tooling, validation platforms, and code-intelligence capabilities. Deliver features across the full engineering lifecycle, improve build and deployment workflows, develop evaluation systems, scale reliable production services, integrate APIs and MCP, and participate in testing, observability, security, incident response, and on-call operations.

Design and implement experiments in browser engine subsystems, investigate DOM, layout, rendering, navigation, events, and execution behavior, and evaluate performance, correctness, and compatibility. Prototype new engine capabilities, instrument and profile browser behavior, develop repeatable tests, document results, and optimize validated improvements. Collaborate with technical leadership while using AI coding and analysis tools and verifying outputs through debugging, testing, and measurement.

Leads the design and implementation of highly scalable Azure messaging and PubSub services. Defines architecture, testing strategies, coding standards, and reusable engineering frameworks; mentors engineers and conducts design and code reviews. Drives incident response, root-cause analysis, service reliability, SLA compliance, and operational improvements. Partners with stakeholders and customers to shape requirements and product direction, while advancing responsible AI practices throughout the software development lifecycle.

Review, debug, execute, and annotate code across Python, JavaScript, C++, Java, and SQL to help train and improve AI systems. Evaluate AI-generated software solutions, compare long-form coding responses, document findings, and provide actionable feedback. The role requires careful analysis of technical documentation and multi-turn conversations, strong written English, and independent remote work.

Design, build, test, and ship features for internal content workflow and distribution systems. Collaborate with product and engineering partners to plan work, participate in code reviews, debug production issues, support on-call operations, and use AI tools to improve development efficiency.

Build and maintain Haskell services for a regulated derivatives exchange, clearinghouse, and brokerage. Design database schemas, constraints, indexes, queries, and reversible migrations for financial data. Optimize production queries, monitor systems, respond to alerts, support settlement operations, and resolve production issues. Collaborate across engineering, operations, risk, and compliance while ensuring correctness, auditability, and reliability of systems handling orders, trades, and settlements.

Build and operate DevOps infrastructure for regulated digital-asset exchange, clearinghouse, and brokerage systems. Responsibilities include improving CI/CD pipelines, managing AWS infrastructure with Terraform, running containerized services on Nomad, developing deployment tooling with health checks and rollback, monitoring systems, responding to production alerts, supporting settlement operations, and contributing to Haskell-based services. The role requires on-call participation, distributed-systems expertise, and collaboration across engineering, operations, risk, and compliance.

Develop and integrate blockchain features for Brave Wallet and Brave Core. Collaborate with backend, frontend, product design, and privacy/security teams; monitor protocol upgrades and investigate blockchain edge cases. The role requires strong C++ development, open-source contributions, distributed-team collaboration, and knowledge of blockchain protocols, cryptocurrency wallets, and the DeFi ecosystem.

Analyzes large-scale telemetry and datasets to identify content delivery performance and reliability issues. Builds software tools to automate analytical workflows and enable autonomous diagnosis. Applies statistical analysis, machine learning, networking, and distributed-systems expertise to develop targeted platform improvements. Defines and mines internal data feeds, establishes performance indicators, and partners with Engineering, Operations, and Product teams to guide feature and process adoption.

Build and operate highly scalable, multi-regional cloud infrastructure supporting millions of concurrent chess games. Responsibilities include Kubernetes and Terraform platform management, bare-metal and cloud operations, performance optimization, incident response, CI/CD and GitOps automation, distributed systems engineering, and observability. The role collaborates with development teams to improve deployment architectures, reliability, scalability, and application performance across global infrastructure.

Develops and maintains Azure-based full-stack software, CI/CD infrastructure, testing frameworks, and reliable skilling platform services. Responsibilities include application and database design, coding, deployment, site reliability, security, automation, AI-assisted Copilot features, LLM-based test failure analysis, and cross-team collaboration. The role requires building scalable cloud and hybrid solutions using microservices, DevOps practices, infrastructure as code, and Azure data services.

Leads architecture and development of scalable Azure capacity infrastructure platforms and tools. Guides cross-team requirements, system design, dependencies, project and release planning, and operational monitoring. Optimizes and refactors code, drives product scaling and performance, and applies AI/Copilot to expand Azure into new locations safely, efficiently, and predictably. Requires deep software engineering experience, distributed systems expertise, and cloud infrastructure knowledge.

Lead technical strategy and architecture for Azure Storage geo-replication, data protection, failover orchestration, and business continuity. Drive cross-team delivery, operational excellence, telemetry, automation, AI-assisted operations, and represent the team in executive and customer engagements.

Leads digital and RF subsystem integration, testing, architecture, and control design for advanced antenna and mission systems. Responsibilities include integrating receiver/exciter hardware, developing automated test software, troubleshooting RF and digital issues, analyzing test data, verifying requirements, supporting readiness reviews, and coordinating corrective actions with engineering teams. The role requires technical leadership across hardware, firmware, embedded software, RF, and systems testing.

Develop, test, optimize, document, and troubleshoot distributed robotics software for agricultural and construction equipment. The role uses C++ in Linux environments and involves deployment support, system debugging, API and architecture documentation, work estimation, and collaboration with embedded software, QA, mechatronics, computer vision, and machine learning teams. Preferred experience includes sensor integration, vision systems, GPU computing on edge devices, Python robotics development, and autonomous vehicles.

Leads architecture, development, testing, and deployment of hyperscale distributed storage systems optimized for AI and machine learning workloads. Drives innovations in scalability, performance, security, durability, and efficiency; collaborates with AI and cloud infrastructure teams; mentors engineers; and evaluates emerging technologies for AI-native storage.

Develop, design, integrate, test, and maintain software for radiation therapy medical devices. Build treatment-planning systems, implement automated tests, troubleshoot issues, contribute to architecture and requirements, and support high-performance computational solutions. Collaborate across software, systems, testing, product, and clinical teams while following rigorous quality and regulatory processes. Some travel under 10% may be required.

Develop and optimize Mojo kernels and implement support for new accelerator architectures across Modular’s AI software stack. Build portability infrastructure, integration tests, and debugging workflows; collaborate with hardware vendors to triage platform issues. Engineers will study ISAs, memory hierarchies, and vendor toolchains while contributing to compiler, model-serving, and inference optimization efforts.

Design and implement Mojo language features, compiler optimizations, and multi-target compilation for CPUs, GPUs, and AI accelerators using MLIR and LLVM. Collaborate with kernel authors, hardware engineers, researchers, and the open-source community to improve language design, code generation, performance, developer experience, and the broader Mojo SDK.

Develops and owns real-time embedded firmware for single-phase UPS and power conversion systems. Responsibilities include C/C++ firmware, digital control, DSP/MCU platforms, PWM, ADC acquisition, protection algorithms, synchronization, multi-processor communication, hardware integration, testing, troubleshooting, CI/CD, documentation, and cybersecurity. Provides technical guidance and mentorship while supporting product development, sustaining engineering, qualification, and production activities.