Top C++ Jobs in Houston, TX

Design, develop, and optimize high-performance C++ systems for ultra-low-latency media streaming. Build and improve streaming pipelines (WebRTC, GStreamer, RTP/RTCP), analyze performance across server, network, and media pipelines, and collaborate with encoding, cloud networking, and systems teams to define KPIs and reduce latency for cloud gaming and related use cases.

Design, develop, test, review, and maintain high-availability EMS and grid automation software (load flow, contingency evaluation, state estimation, operator training simulators). Apply power system modeling, simulation, optimization, and numerical methods; collaborate in Agile teams across Linux and Windows; troubleshoot technical issues and ensure regulatory compliance.

Optimize end-to-end GPU performance for real-time autonomous driving workloads: develop and optimize parallel GPU algorithms and inference pipelines, profile and eliminate bottlenecks across computation and memory, debug GPU software for latency/throughput improvements, and collaborate on onboard GPU software architectures for embedded platforms.

Develop on-vehicle and simulation software across the autonomy stack: planning behaviors, sensor and payload integration, embedded/vehicle platforms, realistic UxS simulation, and electronics prototyping. Ensure reliable, testable code and support onsite test/integration events (up to 25% travel).

As a Datacenter System Software Architect at SiFive, you'll design RISC-V Linux systems for datacenters, engage with customers, and optimize performance across software and hardware.

The Firmware Engineer will design and implement firmware for the Roadio camera system, develop driver-level and application-level firmware, and work with mobile teams to ensure low-latency functionality in embedded systems.

Lead mission formulation and architecture for EO/IR and persistent infrared/MW missions. Perform mission-level analyses, define requirements and top-level budgets, design payloads and constellations, run trade studies using software/code, and coordinate with instrument, engineering, and science teams to deliver cost-effective space mission solutions.

Develop and maintain embedded firmware and kernel/user-mode device drivers for Ethernet-based networking devices. Design, implement, test, and integrate drivers into a Linux and AUTOSAR communication stack, build SDK components, and create debug/test utilities and automated unit/system tests for safety-critical automotive applications.

Lead mission formulation and architecture: develop mission concepts from customer needs, perform mission-level analyses and top-level budgets, define requirements and design for spacecraft and RF/optical instruments, run engineering trade studies using code/tools, evaluate constellation configurations, and coordinate across disciplines.

Design, build, scale, and operate a Kafka-compatible, object-storage-backed streaming platform. Own backend services, storage engine, multi-tenant control plane, transactions and multi-region features. Troubleshoot complex distributed systems, ensure operational readiness and SLAs, participate in on-call rotation, and contribute across the full stack including developer console UI.

Own design, implementation, and production support of Windows kernel-mode enforcement drivers (filesystem, process/thread, handles, registry) and the kernel/user-mode enforcement boundary. Reduce enforcement latency at scale, extend enforcement to containers and isolation, ensure compatibility across Windows builds, handle driver signing and deployment, collaborate cross-platform on policy and the Rust userspace agent, and mentor engineers while driving technical direction and operational stability.

Lead development of the robot platform software: real-time control loops, hardware abstraction, deterministic messaging, and robot API/SDK. Ensure timing guarantees, fault recovery, diagnostics, and long-term API stability. Set platform architecture, mentor engineers, and collaborate with controls, perception, and operations teams to produce reliable on-robot systems for industrial deployments.

Design and optimize high-performance C++/CUDA libraries for GPU-based data processing. Improve multi-node GPU communication (UcxExchange), optimize Presto GPU query performance, and lead enhancements across Presto, Velox, and cuDF projects for efficient DataFrame and database acceleration.

Analyze and optimize HPC application performance across CPU and multi-node multi-GPU systems by driving compiler and library improvements. Port and tune applications, evaluate compiler/runtime/driver impacts, and collaborate with compiler development and application engineering teams to deliver performance enhancements.

Lead cross-stack adoption of modern toolchains, build and code-health practices, and performance workflows on NVIDIA CPU platforms. Integrate and validate compilers, linkers, cross-compilation, and CI; profile and optimize large codebases; build automation and playbooks; drive integration blockers to owners and communicate measurable before-and-after results to engineering teams and leadership.

Work as the US-based technical face for Bitmovin's Encoding team: contribute production C++/Java/Kotlin code, triage and resolve customer encoding incidents during US hours, run on-site integrations and workshops, and feed field learnings into sprint planning and the product roadmap.

Build and maintain the GG App across Windows, macOS, and iOS including installers, background services, auto-update systems, enterprise deployment paths, health reporting, AWS backend, and documentation. Lead architecture decisions, mentor engineers, participate in on-call support, and champion AI adoption and automation across engineering.

Build, integrate, and stress-test full-stack applications and backend services that leverage advanced AI models. Develop production APIs, front-end features, databases, and cloud infrastructure; troubleshoot integrations; prototype rapidly and deliver high-quality code and documentation in fast-moving environments.

Contract GPU kernel optimization role: analyze profiler metrics, identify bottlenecks, and improve kernel performance across modern GPU hardware. Implement and modify C++17, Python, and GPU code using CUDA/HIP/shaders, document optimization decisions, and collaborate as a freelance specialist (20+ hrs/week preferred).

Participate in full SDLC building and integrating software for DoD customers. Develop C++/Python systems, curate synthetic geospatial raster data, apply TDD, operate in DevSecOps pipelines, and use containerization and CI/CD for deployment and testing.

Define and execute verification plans for block-to-full-chip ASICs using SystemVerilog/UVM. Build testbenches, assertions, constrained-random and directed tests, manage regressions and CI, run simulations, triage failures, close coverage, and support silicon bring-up and post-silicon debug while collaborating across architecture, RTL, DFT, firmware, and physical design teams.

As a Windows Engineer at Upwind, you will develop security modules, lead projects from inception to production, and collaborate across teams.

The role involves modeling and verifying analog/mixed-signal IPs, collaborating with teams for optimal performance in communication SoCs.

Develop and optimize CUDA kernels and GPU-accelerated software for latency-sensitive, high-throughput workloads. Profile and tune GPU performance, scale multi-GPU/multi-node systems, build tooling to correlate GPU utilization with real-time energy/grid signals, collaborate with infrastructure and ML teams, and contribute to libraries and best practices for GPU performance in data center environments.

The role involves designing and optimizing GPU architectures for AI Inference, analyzing hardware-software relationships, and developing performance models.