Top Remote C++ Jobs in Atlanta, GA

Build and optimize Azure Storage’s hyperscale distributed file system. Responsibilities include designing and implementing storage features, analyzing performance, ensuring availability, security, reliability, and durability, creating technical designs, estimating work, monitoring services on call, and improving observability and operational efficiency at scale.

Develop and maintain Microsoft's custom Linux operating system platform at hyperscale. Responsibilities include improving reliability, performance, and security; troubleshooting OS health and deployment issues; reviewing OS component code; integrating Linux technologies with datacenter hardware; contributing to open-source projects; and collaborating with Linux and systemd communities across Azure infrastructure.

Build simulation and modeling infrastructure for AI inference accelerators before silicon availability. Develop analytical performance models, functional and timing simulators, virtual platforms, and software integrations. Validate functionality and performance against reference implementations and hardware, improve simulator speed and usability, and create automated regression coverage. Collaborate with hardware, compiler, firmware, runtime, performance, and test engineers to support architecture exploration and realistic software workloads.

Lead end-to-end design and delivery of AI-infused, enterprise full-stack applications on Azure. Architect resilient solutions, build Copilot/agentic features, enforce engineering best practices, mentor engineers, collaborate with PM/UX teams, ensure quality/reliability, and support production services and integrations.

Lead a backend engineering team owning the creative pipeline for high-throughput, low-latency adtech services. Drive roadmap execution, run agile rituals, mentor engineers, participate in architecture and code reviews, handle incidents and on-call, coordinate cross-team dependencies, and support hiring and onboarding.

Architects, develops, and maintains high-performance C++ applications with advanced memory management and multithreaded architectures. Owns critical system components, build systems, CI/CD pipelines, containerization, debugging, profiling, and performance tuning. Leads code reviews, technical planning, and system design while mentoring engineers. Works in Linux environments with Python, shell scripting, SQL, and Git, and collaborates across teams to improve reliability, scalability, and technical growth.

Software engineering intern responsible for owning a scoped project and building production-quality features across frontend, backend, full-stack, real-time, or forward-deployed systems. Duties include developing telemetry and geospatial interfaces, backend services, APIs, event-driven systems, tests, developer tooling, and data pipelines. The intern will support integration and test events, debug distributed systems and networks, explain technical tradeoffs, and present their work at the end of the internship.

Design, build, test, document, and optimize Tailscale’s client-side networking software. Develop connectivity features involving routing, VPNs, subnet routers, exit nodes, and NAT traversal; apply secure, scalable architectures; diagnose complex customer network issues; support escalations; collaborate across product and engineering teams; and contribute to open-source networking projects.

Design and implement PostgreSQL internals, indexing, query engine extensions, and storage-layer features to support large-scale document workloads on Azure. Profile distributed systems, tune performance, collaborate with open-source communities, conduct design/code reviews, and drive cross-team alignment for mission-critical database features.

Develop scalable, secure, performant web applications and data pipelines for healthcare technology. Partner with engineering, product, and business stakeholders on technical roadmaps, use Agile practices, improve observability and reliability, and mentor junior engineers through coaching and code reviews. Responsibilities include database querying, technical decision-making, API development, data ingestion, cloud technologies, containerization, CI/CD, and handling sensitive data.

Design, develop, test, and optimize safe, scalable real-time software for production autonomous vehicle systems. Architect continuous learning infrastructure for ML model deployment and monitoring, analyze algorithms, and collaborate with embedded, platform, AI, sensor, and compute teams. Support perception, prediction, and planning integration while contributing to highway and urban autonomous driving capabilities.

Design and implement motion-planning software for autonomous vehicles, including behavior planning, trajectory generation, safety constraints, and real-time embedded performance. Integrate planning with perception, prediction, localization, and control systems. Validate solutions through simulation, closed-course trials, and on-road testing while addressing complex edge cases and collaborating with vendors, AI teams, and customers.

Own end-to-end firmware for safety-critical ARM Cortex-M systems, including drivers, state machines, communication protocols, hardware bring-up, qualification, testing, and programming flows. Build host-testable simulation layers and define firmware safety cases. Collaborate closely with hardware and mechanical engineers through environmental testing and board iterations. Rust, C, and C++ embedded experience are accepted, with emphasis on bare-metal systems, peripheral debugging, testability, and safety-relevant development.

Build and own production software systems spanning embedded systems, real-time control, cloud services, and data pipelines. Responsibilities include architecture, coding, testing, reliability engineering, observability, incident response, technical design reviews, cross-functional hardware collaboration, hiring, and mentoring. The role requires strong systems fundamentals, distributed systems experience, debugging ability, and proficiency in at least one major programming language.

Designs, operates, and improves large-scale Microsoft 365 and Purview services. Responsibilities include developing automation scripts, building telemetry pipelines and monitoring tools, troubleshooting production issues, optimizing code and services, participating in engineering reviews, and responding to incidents through on-call rotations. The role focuses on cloud engineering, service reliability, observability, resiliency, security, and operational excellence for enterprise and government customers.

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.

Lead as a customer‑embedded principal engineer to design, build, and ship production-grade solutions. Translate business needs into technical approaches, influence senior stakeholders, accelerate delivery in ambiguous environments, and transition work to FDE crews while driving long-term account impact.

Designs, develops, and optimizes high-performance networking infrastructure for large-scale distributed AI training and inference in Azure. Responsibilities include building low-latency communication frameworks, benchmarking scalability, debugging complex networking issues, improving code performance and reliability, creating technical designs, participating in on-call operations, and guiding engineers. The role emphasizes observability, availability, scalability, and performance across diverse network architectures and accelerator technologies.

Designs scalable, production-grade architectures for enterprise applications, distributed systems, cloud platforms, APIs, integrations, and data flows. Defines architectural standards, evaluates technology trade-offs, and guides cloud engineering, modernization, CI/CD, infrastructure as code, observability, security, and reliability practices. Provides technical leadership through design reviews, mentoring, client collaboration, solution shaping, and technical planning while supporting scalable and maintainable software delivery.

Develop and maintain OpenBMC firmware features, support platform bring-up, porting, migration, integration, debugging, and upstream changeset adoption. Implement and validate management protocols and hardware interfaces, troubleshoot firmware-hardware issues, and collaborate with platform, hardware, and validation teams through testing and release activities.

Lead the architecture and technical direction of large-scale Azure cloud infrastructure and machine learning platforms. Design distributed systems for model training, inference, data processing, and platform services; improve compute efficiency, reliability, security, scalability, and observability; guide Kubernetes and AI workloads in production; support MLOps practices; establish engineering standards; and mentor engineers across teams.

Lead the architecture and development of a multi-RAT Open RAN digital twin supporting LTE and 5G NR simulation. Integrate production MAC and scheduler software with PHY, channel, UE, traffic, mobility, interference, and network models. Build fidelity tiers, AI/ML evaluation pipelines, reproducible experiments, calibration and validation practices, automated testing, and CI/CD workflows. Improve simulation scalability and reliability while collaborating across wireless, PHY, AI/ML, software, and lab-validation teams.

Own integration, performance, reliability, and lifecycle testing for a cross-platform endpoint agent across Windows, macOS, and Linux. Build and maintain VM-based device test infrastructure, CI test farms, and reporting. Define resource limits, investigate high-severity OS-level defects, improve regression coverage, and ensure test suites reliably gate releases. Partner closely with endpoint engineers to provide actionable diagnostics and trusted release-quality evidence.

Designs and implements scalable software architecture and web-based systems using Java EE and related technologies. Responsibilities include developing front-end and backend functionality, evaluating tools and designs, troubleshooting, conducting root-cause analysis, collaborating with QA and project teams, participating in code reviews, documenting solutions, mentoring engineers, and serving as a technical lead across multiple projects.

Lead and mentor the embedded software team developing safety-critical vehicle firmware. Set technical direction, architecture, priorities, and delivery milestones while remaining hands-on with real-time systems, fault handling, diagnostics, testing, and hardware bring-up. Partner cross-functionally through integration, validation, and production deployment, and establish reliable practices for code review, CI, release readiness, debugging, and safe multi-device deployment.