Top Senior C++ Jobs in Houston, TX

Build and maintain onboard and platform software for autonomous mining vehicles, including sensor drivers, data pipelines, synchronization, calibration, deployment, monitoring, simulation, testing, drive-by-wire integration, low-level controls, and safety systems. Collaborate with machine learning, hardware, controls, and mine operations teams through field validation on real equipment.

Build and optimize distributed Lance dataset operations, high-performance indices, table formats, and data encodings in Rust. Develop integrations with Spark, Hive Metastore, Presto, Trino, Ray, and other data infrastructure systems. Improve internal data processing infrastructure, contribute to open-source communities, and promote Lance through technical conferences. The role requires deep distributed systems expertise and extensive experience with high-performance databases, big data, or AI training systems.

Lead architecture, product definition, design, fabrication, testing, and validation of silicon photonic integrated circuits for coherent optical transport systems. Develop link budgets, optimize system performance, and establish design-for-test and design-for-manufacturing strategies. Collaborate across photonics, RFIC/EIC, DSP, packaging, foundry, testing, and product teams to deliver scalable, manufacturable optical engines and integrated transceiver solutions.

Develop and optimize NVIDIA’s proprietary C++ GPU compiler backend. Responsibilities include designing compiler passes, improving code generation and machine instruction performance, supporting GPU architectures, and collaborating with compiler, hardware, and application teams. The role requires strong C++ and compiler code-generation expertise, with preferred experience in LLVM, instruction scheduling, register allocation, CUDA, DirectX, OpenGL, and Vulkan.

Develop and maintain high-performance, standards-compliant Firefox layout and rendering functionality, with a focus on Asynchronous Pan and Zoom. Responsibilities include implementing algorithms and user interaction techniques, debugging and optimizing multithreaded code, reviewing code, testing and triaging bugs, and collaborating on long-term platform development across Android, Windows, Linux, and macOS.

Develop performant, standards-compliant Firefox layout and Asynchronous Pan and Zoom features across multiple platforms. Responsibilities include writing and optimizing multithreaded C, C++, or Rust code; debugging rendering and interaction issues; developing layout, graphics, algorithms, and tools; reviewing code; testing and triaging bugs; and contributing to long-term open-source projects.

Build and operate Linux and Kubernetes infrastructure for Azure Front Door’s globally distributed edge fleet. Design, implement, validate, and deploy platform capabilities; optimize performance, reliability, scalability, security, and operations; investigate production issues; develop automation and engineering tools; and provide technical guidance through reviews and knowledge sharing.

Design and scale Cohere’s Model Vault backend and inference platform. Lead architecture for authentication, deployments, billing, metering, customer lifecycle, and cloud control-plane services. Build reliable distributed systems with strong guarantees for security, privacy, consistency, isolation, observability, and failure recovery. Drive technically complex initiatives from threat modeling and architecture through implementation, production rollout, operations, and iteration at enterprise scale.

Leads end-to-end development of software that validates and accepts hardware racks into Microsoft datacenters. Designs reliable, observable, and scalable workflows; translates hardware and operational requirements into platform capabilities; diagnoses production issues; improves automation and performance; and collaborates with software, hardware, networking, manufacturing, and datacenter teams. The role includes architectural design, implementation, testing, rollout, monitoring, documentation, and mentoring.

Develop, optimize, and maintain Unreal Engine 5 rendering systems, shaders, lighting workflows, and visual tools for a high-profile horror game. Profile GPU and CPU performance, resolve rendering and platform-specific issues, support artists through internal tooling, and establish visual fidelity and performance standards. Collaborate with engineering, technical art, lighting, and environment teams while evaluating new UE5 rendering technologies.

Own the networking architecture and roadmap for AKS Flex and Unbounded, enabling secure, reliable, high-performance Kubernetes connectivity across sites, clouds, edge environments, and on-premises infrastructure. Design overlay and underlay networks, routing, encrypted tunnels, eBPF dataplanes, and distributed systems for high-latency and partitioned environments. Integrate InfiniBand and RDMA for AI workloads, lead cross-team architecture efforts, improve global fleet performance and reliability, and participate in production operations and on-call rotations.

Design, develop, optimize, and maintain core game engine systems using modern C++. Collaborate with external programmers, evaluate technologies, improve runtime performance, and resolve crashes and bottlenecks across PC and console platforms. The role requires commercial game development experience, strong computer science fundamentals, multithreading expertise, and GPU/CPU profiling knowledge. This is an engine programming position rather than gameplay engineering.

Analyze and benchmark HPC applications across CPUs, GPUs, and distributed heterogeneous systems. Identify performance bottlenecks and optimization opportunities, assist customers with GPU acceleration, and advise compiler and application engineering teams. The role requires expertise in Fortran, C/C++, parallel programming, OpenACC, OpenMP, MPI, CUDA, performance tuning, numerical methods, and HPC development tools. Knowledge of architectures, debugging, porting, and assembly is advantageous.

Designs, builds, scales, and operates distributed CI/CD services supporting millions of builds, tests, and releases. Develops code for Azure-based infrastructure spanning virtual machines, containers, and custom lab environments. Responsibilities include requirements analysis, architecture and design documentation, estimation, debugging, optimization, operational playbooks, on-call incident response, monitoring, reliability improvements, and mentoring engineers.

Provides technical leadership for architecture and evolution of large-scale distributed data platforms supporting Azure network telemetry. Designs streaming and batch systems, establishes reusable engineering patterns, drives cross-team technical strategy, and owns capabilities from design through production operations. Ensures scalability, reliability, security, performance, data quality, and operational excellence while mentoring engineers and influencing technical leaders. The role also involves architectural reviews, dependency management, risk reduction, and applying AI or machine learning approaches to operational systems.

Develop and improve Azure Kubernetes Service capabilities across Linux and Windows, building reliable container orchestration and cloud infrastructure at global scale. Responsibilities include advancing Kubernetes components, improving service quality, accelerating engineering velocity, automating incident prevention and remediation, and integrating AI tools into development workflows. The role focuses on distributed systems, containers, Kubernetes, DevOps tooling, and AI/ML workload infrastructure.

Own technical direction and complex projects for Tempo, Grafana’s distributed tracing backend. Build and optimize ingestion, storage, query, metrics, and API components; improve performance, scalability, reliability, and operational excellence. Collaborate across product and engineering teams, write design documentation, participate in on-call and incident response, mentor engineers, and contribute to the open-source Tempo project.

Build and lead high-performance browser features in modern C++ and Chromium, including tracker blocking, subscription integrations, and responsiveness monitoring. Own complex projects from proposal through post-mortem, solve ambiguous technical problems, make architecture decisions, collaborate asynchronously with product and design, and use metrics to evaluate outcomes in a large-scale consumer codebase.

Design and optimize networking infrastructure for Azure AI supercomputing clusters. Develop RDMA communication libraries, transport protocols, distributed systems, observability tools, and performance optimizations. Analyze latency, throughput, congestion, scalability, and fault tolerance across large GPU and accelerator environments. Lead technical architecture, write design specifications, resolve complex production networking challenges, and collaborate with hardware, silicon, AI framework, and infrastructure teams.

Designs, develops, deploys, and sustains Azure infrastructure for AI training and inference workloads. Responsibilities include coding, hardware and software integration, distributed systems, networking, GPU and cluster design, performance optimization, debugging, automation, test-driven engineering, documentation, partner collaboration, and on-call incident response. The role drives scalable, reliable infrastructure and mentors engineers while improving quality, maintainability, and customer outcomes.

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.

Design, implement, test, and modernize backend services and integrations (TypeScript/Node.js and C++). Lead large projects, write technical specifications and API contracts, enforce coding standards, coach engineers, and drive legacy-to-modern migrations within online banking and core systems.

Lead architecture and roadmap for Azure PostgreSQL systems; design and review scalable, maintainable database engine features (query processing, storage, transaction logging, recovery, versioning, IO, scale-out). Influence coding standards and run code reviews, write proof-of-concept or production code, contribute to open-source PostgreSQL/Linux, and participate in rotational on-call operations.

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.

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.