Top C++ Jobs in Atlanta, GA

Design and develop backend distributed systems for 5G non-terrestrial networks, Direct-to-Cell services, satellite orchestration, and terrestrial network coordination. Build scalable cloud-native software using C++, Golang, Java, gRPC, Protocol Buffers, and Kubernetes. Translate 3GPP and O-RAN specifications into reliable software, integrate platform components, document implementations, troubleshoot issues, and collaborate with telecom solution architects.

Leads globally distributed software development and Agile teams supporting warehouse control, warehouse execution, and optimization products. Oversees software strategy, architecture, delivery, technical quality, integrations, troubleshooting, R&D, budgets, and continuous improvement. Develops engineering talent, mentors leaders, coordinates QA and infrastructure teams, and ensures scalable, resilient distributed systems meet client and business objectives. Requires supply chain execution expertise, strong software engineering knowledge, supervisory experience, and up to 20% domestic and international travel.

Develop firmware for microcontrollers and embedded Linux systems supporting medical device hardware. Responsibilities include hardware control, sensor and motor interfacing, real-time control systems, bootloaders, firmware upgrades, system integration, diagnostics, and fault handling. The role also integrates .NET applications with firmware and hardware, and may involve embedded Linux security and Docker containerization.

Lead embedded application integration across firmware, hardware, Linux, and cloud systems. Develop embedded applications in C#, design system architectures, perform end-to-end testing, debug complex firmware and Linux issues, and support fault handling and diagnostics. The role requires integration experience with control-system protocols, RTOS, bare-metal systems, Yocto-based embedded Linux, and medical-domain projects.

Design and build Azure Kubernetes Service features and AI-native infrastructure, improve service reliability and developer velocity, automate incident prevention/remediation, integrate AI tools, and operate distributed, containerized systems at cloud scale.

Lead technical ownership of InfiniBand and GPU interconnect fabric operations for hyperscale AI supercomputers. Drive incident response, deep multi-layer debugging across hardware/firmware/drivers/OS, and define failure models, playbooks, telemetry, and automation to improve reliability, observability, and scalability of GPU clusters and platform SLAs.

Design and implement PostgreSQL internals and indexing/query features for large-scale document workloads, extend query engine with BSON-aware operators and custom scan nodes, tune index pruning and storage, profile distributed systems for performance, collaborate with open-source DocumentDB/PostgreSQL communities, and participate in design/code reviews.

Build and maintain high-performance, reliable backend systems for Yahoo Mail AntiSpam and Delivery. Design and develop complex server applications on Unix, leverage cloud platforms (GCP/AWS), containerization (Docker/Kubernetes), and ML/AI models to detect and deliver messages. Troubleshoot, optimize performance, and collaborate cross-functionally to ensure scalability and uptime.

Design and evolve core data models and durable APIs for complex communications networks. Build, test, operate, and maintain production-grade interfaces and abstractions for heterogeneous physical and logical networks while ensuring compatibility, consistency, quality, and performance. Manage project priorities, timelines, and deliverables within the Spacetime engineering team.

Design, evolve, and operate core data models and APIs for complex communications networks. Build durable abstractions for heterogeneous physical and logical networks, while maintaining interface quality, compatibility, consistency, and performance. Collaborate with experienced engineers to manage priorities, timelines, and deliverables across production systems. The role requires strong software engineering fundamentals and proficiency in Golang, C/C++, Rust, or Java.

Lead development of high-performance Rust parsers, compilers, automata, indexes, and data structures for structured language-model generation. Optimize decoding-loop performance through profiling and benchmarking, integrate Python bindings and C++/CUDA components into inference engines, collaborate across teams, and maintain production-quality code through testing and CI/CD.

Develop high-performance parsers, compilers, and data structures that constrain LLM decoding according to schemas, grammars, policies, and function definitions. Research parser, compiler, and symbolic methods; write reliable, efficient code; and optimize implementations through rigorous testing and automation. The role requires professional Python expertise, lower-level programming experience, strong formal language knowledge, and clear written communication. It is fully remote with at least three hours of daily overlap with Eastern Time business hours.

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.

Design and deliver scalable control-plane and management services for Azure Storage at hyperscale. Lead architecture, reliability, and performance work for storage platforms that support AI workloads, adopt AI-assisted engineering practices, and own system health, incident response, and long-term technical roadmaps.

Develop production hardware and software test solutions for RF mobile network products. Build and support test fixtures, test applications, equipment integrations, and design-for-test recommendations. Collaborate with R&D, software, supply chain, manufacturing, services, and external factories from new product introduction through volume production. Analyze tester performance, resolve design issues, and create documentation and test plans.

Design and implement scalable first-mile networking solutions for Microsoft 365 Substrate and COSMIC. Drive design, dependency identification, coding, optimization, debugging, and on-call monitoring. Analyze production telemetry to improve reliability, performance, and observability. Act as a DRI, lead design and release plans, and collaborate with stakeholders to meet product requirements at global scale.

Maintain and improve build and release processes across mobile, console, and PC platforms. Develop automation tools, support continuous integration, manage branches and environments, coordinate releases with Production and Live-Ops teams, enable automated testing, and document build pipelines. The role requires Perforce, scripting, build systems, CI, C++, and strong collaboration skills.

Architect and develop foundational edge-computing runtime and integration platforms for connected-home devices. Build software models for device, spatial, and occupancy data; prototype and productionize new concepts; evaluate architectures; and provide technical leadership through design reviews, coding standards, mentoring, and cross-functional collaboration. The role spans edge computing, IoT, distributed systems, embedded environments, intelligent agents, networking, and secure systems within an exploratory R&D organization.

Build and operate Azure platforms integrating specialized partner technologies with cloud services. Responsibilities include writing maintainable code, contributing to architecture and design decisions, testing features, supporting safe deployments, monitoring dependencies, using AI-assisted development tools, and maintaining live-site operations. The role emphasizes scalable, reliable, secure, and resilient distributed cloud services while collaborating with engineers, product managers, architects, and partners.

Design, develop, and operate distributed services for Azure Storage geo-replication. Improve durability, regional resiliency, failover readiness and disaster recovery. Collaborate across teams, analyze telemetry, diagnose production issues, act as a DRI, and leverage AI-assisted engineering tools to improve productivity and reliability.

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.

Develop and operate hyperscale Azure Managed Disk distributed storage systems. Investigate complex faults, bottlenecks, degraded hardware, concurrency, availability, and performance issues; develop reliable and scalable capabilities; create monitoring, metrics, queries, and automated load-balancing solutions; support safe deployments, cross-team debugging, on-call operations, and engineer mentoring.

Design and operate large-scale, AI-native cloud infrastructure (especially Kubernetes/AKS). Improve service quality, automate incident prevention/remediation, accelerate engineering productivity, and integrate AI tools into development workflows.

Design and develop high-performance optimization and scheduling systems for complex network-resource allocation problems. Translate network and product requirements into computational models, improve solution quality, runtime, scalability, and explainability, and evolve solver architecture for reliability under increasing complexity and load. The role also involves managing priorities, timelines, deliverables, and maintaining production software.

Build and maintain backend services, APIs, relational database integrations, automated tests, and Blazor web interfaces. Implement features and bug fixes, participate in code reviews, improve observability, and help operate deployments using containers, CI/CD pipelines, and Kubernetes. The role is designed for early-career engineers who will collaborate with senior team members, use AI coding assistants, document their work, and progressively take ownership of larger platform components.