Top Remote C++ Jobs in Houston, TX

Join Azure PostgreSQL to design, implement, and test features in a relational database engine (query processing, logging, storage, IO, scale-out). Collaborate with stakeholders, write maintainable code, define test plans, operate live services (on-call), and contribute to open-source PostgreSQL and Linux.

Lead the architecture, development, testing, and deployment of hyperscale distributed storage systems optimized for AI and machine learning workloads. Drive innovations in scalability, performance, security, durability, and efficiency while collaborating with AI researchers and cloud infrastructure teams. Mentor engineers, guide technical strategy, and help shape Azure Blob Storage into an AI-native platform supporting zettabyte-scale storage.

Develop and deploy onboard swarm autonomy: perception, planning, control, multi-target tracking, inter-robot/C2 protocols, on-vehicle software integration, realistic UxS simulation, train and test ML-based target recognition, and electronics prototyping. Travel for test events up to 25%.

Develop and implement digital pre-distortion algorithms and production software for radio hardware. Model nonlinear power amplifier behavior, select DPD engines, collaborate with hardware design teams on DFE, AFE, and feedback paths, troubleshoot radio performance, and test hardware robustness. The role requires advanced DSP, nonlinear system modeling, RF expertise, FPGA or ASIC experience, programming in Matlab, Python, and C++, and at least three years of relevant industry experience.

Designs and builds highly scalable, fault-tolerant Azure compute services, microservices, REST APIs, billing pipelines, and distributed systems. Responsibilities include improving availability, security, scalability, performance, disaster recovery, and compute utilization; using telemetry and data-driven insights; developing cloud-native solutions with containers, NoSQL, and Big Data technologies; and leveraging AI-assisted development in an Agile environment.

Design and lead development of high-performance networking infrastructure for large-scale AI training and inference in Azure. Architect low-latency, low-jitter communication frameworks, optimize distributed systems, benchmark scalability, resolve complex networking issues, and improve reliability, observability, and performance. Mentor engineers, create technical designs, manage dependencies, and participate in on-call operations for critical services.

Leads the design, implementation, optimization, and support of highly scalable Azure Storage services. Responsibilities include end-to-end performance testing, benchmarking, automation, profiling, bottleneck and root-cause analysis across compute, storage, and networking layers, KPI definition, scaling recommendations, and operational incident response. The role collaborates across teams, drives project and release plans, supports reliable and secure services, and mentors engineers while participating in on-call responsibilities.

Develop and operate software for Azure’s hyperscale networking infrastructure and SONiC switch and router platforms. Responsibilities include designing, coding, optimizing, debugging, and maintaining network software; supporting packet forwarding, telemetry, observability, reliability, and performance; creating design and release plans; responding to incidents; and mentoring engineers. The role requires expertise in software engineering, IP networking, distributed systems, Linux, SDN technologies, and container-based environments.

Develops and maintains high-quality systems software and microservices for Azure Messaging services, including data storage and replication. Drives product and engineering-process innovation, applies AI to software development, ensures software quality and stability, and uses rigorous development practices including requirements, testing, and efficient coding techniques.

Designs, develops, tests, deploys, monitors, and operates large-scale distributed cloud services for Azure Arc. Builds software across agents, Kubernetes environments, and globally distributed Azure services using languages such as C# and Go. Responsibilities include automation, debugging, performance optimization, reliability improvements, telemetry, live-site operations, and cross-team collaboration. The role requires participation across the full software development lifecycle and ownership of features from design through production support.

Leads architecture and development of Azure Storage table, metadata, and indexing systems at massive cloud scale. Designs distributed-system primitives for partitioning, indexing, transactions, consistency, replication, caching, and high-performance data access. Drives architectural decisions, prototypes innovations through production, and improves performance, scalability, reliability, and cost efficiency. Requires deep expertise in distributed storage, databases, or large-scale systems.

Early-career Software Engineer developing and maintaining Windows desktop fluid-flow simulation applications. Responsibilities span user interfaces, application logic, data models, integrations, testing, debugging, build automation, CI/CD, and modernization. The role involves collaboration with engineering, QA, product, and domain experts while contributing clean, maintainable code and participating in reviews, bug triage, and build pipeline rotations.

Define architectural direction for Azure Specialized platform services and lead the design of highly available distributed cloud systems. Drive reliability, scalability, observability, security, diagnostics, and operational improvements across engineering organizations. Establish service health frameworks, SLOs, metrics, and governance for mission-critical services. Mentor engineers, influence technical strategy, resolve complex cross-system challenges, and advance AI-assisted troubleshooting and platform modernization.

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.

Create and evaluate game development challenges for AI training. Build small game projects, introduce and resolve gameplay bugs, design multi-system features, write task briefs and acceptance criteria, develop verified reference solutions, and conduct end-to-end playtesting. Candidates must demonstrate hands-on experience with a major game engine, relevant programming or scripting technologies, gameplay debugging, interactive feature design, technical documentation, and a verifiable game development portfolio.

Design and build advanced applications, integrate external APIs, and contribute to large open-source codebases for global clients. The role requires strong systems programming, networking, memory management, concurrency, operating-system concepts, data modeling, parallelism, API design, and technical documentation skills. Candidates should learn quickly, take ownership, navigate unfamiliar codebases, identify edge cases, and continuously improve through feedback. The process includes a technical assessment, interview, and OSS hackweek.

Design, build, and operate distributed storage and file-system platforms for cloud-scale AI training and inference. Architect storage and caching for Kubernetes and GPU workloads, improve performance, reliability, observability, and resiliency, diagnose cross-layer production issues, and lead architecture reviews. Partner across infrastructure, networking, operating systems, and AI platform teams while mentoring engineers and shaping long-term storage strategy.

Develop and support Veeam Backup for Microsoft 365, collaborate across product development, and help plan and implement product features. The role requires strong C# expertise, knowledge of algorithms and data structures, relational database development, and public cloud experience. Familiarity with Windows, Linux, Exchange, SharePoint, Office 365, event-driven systems, and commercial software products is advantageous.

Designs and develops foundational Azure compute platform technologies. Leads architecture and design for complex systems, writes secure and performant production code, establishes test strategies, performs code reviews, debugs system issues, and drives cross-team technical alignment. The role also applies AI-enabled engineering practices, improves engineering quality, and supports security hardening across cloud infrastructure solutions.

Own and improve Glydways’ Bazel monorepo infrastructure across C++, Python, and Go. Responsibilities include implementing remote caching and remote build execution, optimizing build and test performance, maintaining toolchains and dependencies, supporting embedded cross-compilation, improving CI/CD workflows with AWS and Buildkite, developing developer automation, monitoring build health, and participating in on-call support.

Develop and assure safety-critical software for autonomous ground vehicles. Perform hazard analyses including FHA, FMEA, FMECA, FTA, and robotic capability assessments; define safety architectures, requirements, mechanisms, and verification activities; support testing, technical reviews, and safety audits. Collaborate across engineering teams on MIL-STD-882E processes, model-based safety, embedded systems, AI/ML, and autonomous vehicle capabilities while communicating safety considerations and technical progress.

Build and maintain edge software that controls pharmacy automation hardware. Responsibilities include hardware communication over CAN, serial, USB, and Ethernet; fill-sequencing state machines; versioned contracts with microcontrollers and vision systems; and fail-closed behavior. The role requires production C, C++, or Rust on Linux, hardware-bus debugging, real-time orchestration, and embedded-device integration. Preferred experience includes industrial ARM/x86 platforms, field diagnostics, embedded Linux, NVIDIA Jetson, and robotics or medical devices.

Develop and optimize Firefox performance across Windows, Android, Linux, and macOS. Write code, tests, prototypes, and tooling; profile and diagnose bottlenecks; improve benchmarks; and lead performance initiatives. Collaborate across engineering teams, educate developers, drive projects to completion, own browser performance areas, and contribute to the team’s technical roadmap.

Leads and manages an 8–10-person storage engineering team responsible for MongoDB’s transactional read/write path, durability, availability, performance, indexing, and storage architecture. Owns the roadmap, customer escalations, cross-team initiatives, engineering quality, hiring, coaching, and execution. Partners with Replication, Query, Sharding, Atlas, and other teams on distributed systems and workload-management improvements.

Design and implement experiments deep within browser engine subsystems, including DOM, layout, rendering, accessibility, JavaScript runtimes, and networking. Investigate browser behavior, prototype capabilities for programmatic web interaction, measure performance and correctness, profile overhead, and document results. The role requires hands-on systems engineering, browser platform expertise, large-codebase development, and collaboration on AI-agent tooling.