Top C++ Jobs in Houston, TX

Develop complex, scalable public safety software using C#, Angular, databases, APIs, cloud infrastructure, and AI integrations. Lead design and code reviews, guide developers, contribute to architecture, improve frameworks, address technical debt, create automated testing strategies, optimize database and application performance, and diagnose escalated production issues. Serve as a technical subject matter expert while coordinating with internal teams, customers, and external entities.

Design, implement, and tune real-time motor and actuator control systems for humanoid robots. Develop embedded C/C++ firmware on microcontrollers or DSPs, model actuator dynamics, and apply PID, cascaded-loop, feedforward, and state-observer techniques. Bring up and characterize hardware, debug control issues with laboratory instrumentation, and collaborate with electrical, mechanical, autonomy, motion-planning, and software teams. Document control architectures and tuning procedures while supporting reliable, safe robot performance.

Provides regional technical support for AVEVA Pipeline Simulation products, troubleshooting complex customer software issues, reproducing defects, researching workarounds, and coordinating solutions with Development. Documents cases, supports junior engineers, delivers customer and internal training, creates technical knowledge materials, and presents at conferences. Requires pipeline simulation expertise, engineering knowledge of thermodynamics, fluid dynamics, and hydraulics, strong communication, customer service skills, and 5–15% travel.

Design and implement autonomy and behavior coordination algorithms for industrial humanoid robots. Integrate manipulation, locomotion, and perception capabilities; develop safe, reactive plan execution using classical control and learned policies; build data curation, synthetic data generation, behavior evaluation, benchmarking, and regression-testing pipelines. The role supports simulation and deployment at live industrial sites and requires expertise in robotics autonomy, world models, NVIDIA Cosmos, and Isaac Sim.

The Senior LLVM Compiler Engineer will contribute to upstream LLVM development, lead design discussions, and ensure high-quality compiler solutions in collaboration with open-source communities.

Develop and implement core firmware features for Mellanox NICs supporting cloud, HPC, and storage networking. Collaborate with architecture and software teams, create verification tests, debug complex hardware/software systems, and contribute to firmware maintenance, qualification, and releases. The role requires strong C/C++ development, networking knowledge, PCIe and virtualization experience, scripting skills, and familiarity with distributed, high-performance computing environments.

Own the developer infrastructure supporting a robotics software organization, including large-scale CI, reproducible builds, cross-compilation, release delivery, developer environments, fleet rollouts, observability, and hybrid cloud/on-prem infrastructure. The role also manages physical lab and deployment-site systems, offline-capable registries, networking, robot updates, and secure artifact provenance.

Build scalable full-stack applications integrating healthcare insights with browser-based and Windows EHR systems. Develop products using FHIR and HL7 interoperability standards, collaborate on technical roadmaps, and implement performant solutions. Mentor junior engineers, conduct code reviews, make technical decisions, and partner with engineering, product, and business stakeholders using Agile processes.

Support PCBA design and testing, cabling and grounding prototyping, embedded software development and validation, and produce technical documentation for humanoid robotics projects while collaborating with mechanical and electrical teams.

Own and evolve Argo Workflows and Argo Events, make major architectural decisions, and build Pipekit’s enterprise control-plane product. The role includes shaping the roadmap, shipping customer-focused features, engaging with open-source contributors and customers, participating in an on-call rotation, and speaking at cloud-native conferences. Candidates should have strong statically typed programming skills, Kubernetes expertise, production-systems experience, excellent written communication, and a self-directed, customer-focused approach.

Develops, evaluates, integrates, tests, and debugs safety-critical Orion GN&C flight software supporting NASA’s JETS II contract. The role uses MATLAB, Simulink, C/C++, Python, and TRICK/JEOD for software development, simulation analysis, verification, and troubleshooting. It also improves flight software processes, procedures, build management, and integration activities while collaborating onsite with NASA personnel and contractor teams at Johnson Space Center.

Develop and maintain high-fidelity spacecraft simulation models and infrastructure, including environmental, vehicle, sensor, effector, I/O, real-time, faster-than-real-time, and hardware-in-the-loop simulations. Collaborate with software, GNC, and subsystem engineers; create verification tests and unit tests; support FDIR testing; maintain SQA tools; and provide simulation support to flight software, ground software, and operations teams.

Design, develop, integrate, and test guidance, navigation, and controls systems for lunar spacecraft. Responsibilities include real-time C/C++ flight software, sensor and effector integration, HWIL and SWIL testing, six-degree-of-freedom simulations, navigation analysis, flight control performance evaluation, and collaboration across hardware and software teams.

Develop and test real-time flight software for positioning, navigation, and timing systems supporting lunar relay satellites. Integrate navigation sensors and software in software- and hardware-in-the-loop environments, develop high-fidelity simulation and testing capabilities, model spacecraft dynamics and sensors, and collaborate with multidisciplinary teams on flight and ground support software through testing and on-orbit operations.

Design, develop, test, and integrate guidance, navigation, and controls automation for lunar spacecraft. Develop and review real-time C/C++ flight software, integrate navigation sensors and effectors, perform six-degree-of-freedom simulations, support HWIL/SWIL testing, and analyze spacecraft performance and stability. Collaborate with software and hardware teams on flight software integration and satellite testing.

Design, implement, maintain, and test flight software for lunar spacecraft and data network systems. The role involves hardware/software integration, I/O performance analysis, serial and packetized communications, unit and integration testing, and collaboration with hardware engineering teams. Engineers will support high-quality software development in a fast-paced spaceflight environment, with preferred experience in CFS, device drivers, SpaceWire, testing frameworks, operating systems, Docker, Agile/Scrum, and Gitflow.

Build scalable simulation and planning systems for complex communications networks. Model hypothetical scenarios, allow users to vary configurations and assumptions, evaluate impacts, compare tradeoffs, identify risks, and integrate simulation capabilities into broader product workflows. The role involves full-stack engineering across design, development, testing, and operations, with emphasis on distributed systems, algorithms, network modeling, and computational reliability.

Develop innovative physical design methodologies for GPUs and SOCs, focusing on PPA improvements and collaboration across multiple teams. Use AI/ML to enhance design efficiency.

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.

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.

Support NASA human spaceflight programs by developing software for spacecraft simulations and integrating with various systems. Requires strong problem-solving skills.

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.