Top Senior C++ Jobs in Houston, TX

As a Senior Deep Learning Compiler Engineer, you will optimize neural networks and develop algorithms for Quadric’s architecture, focusing on performance enhancement through advanced mathematical and algorithmic techniques.

Develop and maintain checkers for competitive programming problems allowing multiple valid outputs, verify participant submissions, write clear C++ code, document logic, collaborate with customers, and provide feedback to improve test cases and checkers.

The Senior Software Engineer will develop high-performance software for executing open-source LLMs on custom hardware, focusing on optimizations and efficient libraries primarily in C++.

Pipeline for software engineering roles at multiple levels. Work may include design, development, testing of embedded or application software, firmware and hardware-software integration, code review, debugging, performance optimization, Agile/Scrum practices, and cross-functional collaboration with systems, controls, and hardware teams.

Develop user interface components for ArcGIS Pro using C# and WPF, work in an agile team, and design software solutions for raster and imagery processing.

The Staff Platform Engineer will lead the architecture, development, and scaling of API-based transaction processing systems, ensuring reliability and performance while mentoring other engineers.

Design and build core systems for a new application using Solana's infrastructure. Focus on low-latency, reliable services, and implement security measures.

As an Engineering Manager, lead a team of engineers, coaching their development while ensuring quality results and implementing engineering processes.

Lead the adoption of Rust at Canonical, design and implement Rust software, collaborate on technical specifications, and advocate for Rust within projects.

Lead and manage a distributed team of engineers in Sustaining Engineering, ensuring growth, performance, and customer-focused software solutions. Support timely delivery of technical solutions across various technology fields while promoting a collaborative culture.

As an Engineering Manager, you will lead a team to optimize engineering and operations processes, ensuring quality managed services while collaborating with customers and stakeholders.

The Python Engineer will write maintainable Python software, lead technical initiatives, collaborate globally, and contribute to community engagement at Canonical.

You will lead engineering teams, develop managers, hire staff, drive quality, and ensure disciplined processes while representing products to stakeholders.

The Performance Engineer drives software performance and correctness through collaboration, teaching, and advancing measurement tools in Canonical's engineering teams.

Manage engineering teams and operations for the BootStack service, ensuring quality and timely delivery of managed services while collaborating with stakeholders and optimizing team performance.

Lead architecture, delivery, and operation of large distributed telemetry databases. Define technical strategy, SLOs/SLIs, and reliability practices; drive performance, cost, and observability improvements; lead incident response and cross-team projects; mentor engineers; and represent engineering to stakeholders.

You will develop and maintain components of the LLVM based toolchain, collaborating with the community while ensuring platform-specific optimizations and tests.

The Senior Software Engineer will design and develop IMS TM and DB-compatible technologies, providing architectural leadership and mentoring while optimizing mission-critical applications for modern environments.

Lead electrical and instrumentation CAD design for power-generation and industrial projects. Oversee drawing production, deliverables, constructability, safety, budgets, staffing, schedules, bills of materials, quantity takeoffs, and 3D model development. Integrate laser scans, LiDAR, vendor files, and survey data; coordinate with engineers, project managers, clients, and multidisciplinary teams. Check peer work, maintain standards, support proposals, lead remote CAD teams, and participate in meetings requiring occasional travel.

Design and build scalable backend components and indexing pipelines for semantic and hybrid retrieval, build retrieval orchestration and knowledge-graph services, improve retrieval quality via evaluation and observability, design APIs, and optimize latency, throughput, cost, reliability, and security for large-scale AI inference and retrieval workloads.

Design, build, and operate scalable backend services and APIs for LaunchDarkly’s experimentation platform. Own systems supporting experiment setup, event ingestion, metric computation, and results processing. Contribute to architecture, reliability, observability, deployment safety, incident response, and technical direction. Collaborate with product, design, data science, and engineering teams, investigate production issues, participate in on-call, and mentor teammates through reviews and knowledge sharing.

Lead design and implementation of high-throughput, low-latency programmatic bidding systems. Collaborate with ML engineers to deploy real-time inference, optimize distributed microservices, run experiments and quantitative analysis, and partner with product to ship scalable features. Foster operational excellence, mentor engineers, and continuously improve performance and reliability.

Own the architecture and technical direction of autonomy and vehicle software for autonomous underwater vehicles. Lead cross-disciplinary robotics challenges spanning onboard software, GNC, state estimation, sensing, fault management, testing, field operations, and fleet-scale deployment. Improve unattended mission reliability through FDIR, safe-state behaviors, telemetry, logging, sensor synchronization, OTA updates, and rollback. Mentor engineers, establish quality standards, manage the roadmap, support on-call operations, and drive practical AI adoption.

Lead the on-vehicle autonomy team to design, build, integrate, and field autonomy software for autonomous surface vessels. Own navigation, planning, control, behaviors, safety logic, and autonomy execution; drive architecture, testing, simulation, HIL, field deployments, and cross-functional integration while mentoring engineers and ensuring mission-ready, maintainable autonomy systems.

Lead implementation of software safety programs for underwater robotic/autonomous vehicles per MIL-STD-882. Produce safety plans and assessments, perform hazard analyses, track coverage metrics, catalog safety artifacts, review software independently, and present findings at reviews and customer meetings. Coordinate across programs and support demanding schedules with occasional travel.