Top Python Jobs in Houston, TX

Develops and maintains Python and LabVIEW automation for production testing of high-speed optical transceivers and components. Integrates optical and electronic test instruments, debugs optical, electrical, and thermal systems, troubleshoots manufacturing failures, and improves yield and reliability. Creates SOPs and training materials, trains operators and technicians, maintains test documentation and revision control, and collaborates with R&D, QA, manufacturing, and IT teams. Requires occasional international travel for deployments and training.

Tests high-speed optical transceiver interoperability from 400G to 1.6Tbps, installs and operates high-density network switches, conducts communication link testing, troubleshoots failures, identifies root causes with cross-functional teams, supports production traffic testing, and generates test reports.

Optimize manufacturing efficiency, capacity, product costs, labor productivity, quality, and lead times. Develop performance metrics and dashboards, assess manufacturing capabilities, apply Lean principles, analyze production data, and lead cross-functional process improvement and new product introduction projects. The role collaborates with production, engineering, and production control teams and may require work in a cleanroom environment.

Administers Linux servers and Proxmox VE infrastructure, including clusters, virtual machines, containers, storage, backups, monitoring, security, and disaster recovery. Automates administration with scripting and configuration management, troubleshoots infrastructure issues, maintains documentation, supports critical incidents, and collaborates with IT teams in an onsite manufacturing environment. Participates in on-call coverage and planned maintenance.

Tests, debugs, and verifies high-speed optical transceivers from 800G to 1.6Tbps. Installs and maintains testing equipment, conducts communication link tests under MSA and IEEE standards, troubleshoots failures, identifies root causes, develops automated testing software in LabVIEW and Python, and documents qualification results. The role supports optoelectronics manufacturing operations and requires collaboration with cross-functional engineering teams.

Improves manufacturing and operational efficiency by analyzing workflows, calculating production capacity, developing performance dashboards, applying Lean Manufacturing principles, and using statistical modeling to support decisions. Manages cross-functional process-improvement and new-product-introduction projects within budget and schedule constraints. Collaborates with production control, procurement, supply chain, and leadership to enhance productivity and optimize operations.

Designs, develops, and owns full-stack software supporting manufacturing operations, including dashboards, equipment monitoring, MES/RMS integrations, and SECS/GEM automation. Builds C#/.NET applications, SQL data solutions, and REST services; troubleshoots equipment communication and production issues; collaborates with engineering, quality, IT, vendors, and manufacturing teams. Maintains documentation, supports equipment qualification, improves automation and throughput, and provides production support in office, warehouse, and cleanroom environments.

Support and improve manufacturing operations through automation, equipment qualification, troubleshooting, root cause analysis, data analysis, and production process optimization. Develop and validate hardware and software solutions using LabVIEW, SQL, Python, PLCs, and analytics tools. Support equipment testing, performance metrics, yield improvement, downtime reduction, and early production ramp activities. The role is on-site in Sugar Land, Texas, with 5–10% international travel.

Owns core platforms that deliver autonomous driving software from development through vehicle deployment. Responsibilities include C++ build and packaging systems, CI/CD, Docker and Kubernetes infrastructure, cloud and edge services, APIs, event-driven architecture, identity and access control, PKI, mTLS, secrets management, and fleet operations. The role also involves code review, architectural design, infrastructure on-call, mentoring, and cross-team technical leadership.

Lead technical vision and architecture for a cloud-native, low-latency global payments platform. Decompose complex systems, ensure performance/scalability/operability, drive reusable solutions, mentor engineers, evangelize best practices, and apply advanced AI tooling to accelerate development.

Develop and maintain a C++ automation QA framework for validating data center storage solutions. Create automated tests, improve framework capabilities, analyze specifications and source code, debug product and test failures, maintain testing hardware and software, and collaborate with QA and development teams using Agile practices.

Design, build, test, and operate production-grade, secure, and scalable software and services. Partner with customers to translate requirements into technical designs, drive engineering best practices (CI/CD, testing, observability), deliver end-to-end solutions, lead technical workstreams, and apply AI/LLM approaches where appropriate to produce production-ready outcomes.

Develop and support PLC-based automation software for drilling automation platforms. Translate operational requirements into control logic, troubleshoot complex software and system integration issues, analyze system data, implement corrective solutions, and collaborate with quality, product, engineering, operations, and field teams. Support validation, testing, releases, and sustaining engineering while improving drilling performance, reliability, and operational consistency.

Supports the Engineering Technical Services team with finite element analysis using Ansys, including model setup, meshing, boundary conditions, solver execution, and results evaluation. Analyzes engineering and operational data to identify improvement opportunities and evaluates AI-enabled tools for engineering workflows. The intern learns FEA, data-driven process improvement, and responsible AI application while collaborating with engineers and cross-functional teams.

Develop and test guidance, navigation, and control flight software for lunar satellite missions. Perform trajectory analysis, spacecraft dynamics and orbital mechanics analysis, 6-DOF simulations, sensor and effector integration, Kalman filtering, HWIL/SWIL testing, and real-time flight software development in C and C++. Collaborate with multidisciplinary teams to evaluate mission performance, support navigation hardware integration, and respond to customer and mission requirements.

Leads network architecture, Azure cloud infrastructure, Microsoft 365 administration, and operational support. Manages network and cloud engineering teams while remaining hands-on with architecture, escalated troubleshooting, hybrid connectivity, automation, security, cost management, monitoring, disaster recovery, and infrastructure roadmaps. Oversees hiring, mentoring, performance management, documentation, change management, incident response, and collaboration with Security, Engineering, Help Desk, and business stakeholders.

Design and own LLM inference runtime components, including engine integration, continuous batching, KV cache management, quantized execution, and distributed GPU execution. Build Kubernetes orchestration for scheduling, routing, admission, and autoscaling. Optimize latency, throughput, and GPU utilization; evaluate emerging inference technologies; resolve customer issues; conduct code reviews; and mentor engineers.

Designs, develops, deploys, and supports scalable enterprise applications, cloud platforms, APIs, and AI-powered solutions. Responsibilities include software architecture, system integrations, data pipelines, generative AI implementation, performance and security optimization, technical documentation, and collaboration with distributed teams. The role also mentors engineers and contributes to Agile delivery. Candidates must have extensive software engineering experience, strong architecture skills, and be available onsite in Houston five days per week.

Leads the design, operation, optimization, and governance of cloud, data, and AI platforms. Responsibilities include performance monitoring, incident response, disaster recovery, infrastructure design, automation, CI/CD, Azure DevOps workflows, and Azure Machine Learning and AI Foundry deployment pipelines. The role also establishes operational standards, improves observability, manages complex troubleshooting, supports security controls, documents platform processes, and mentors junior engineers.

Lead design and build of production-ready cloud and AI systems, prioritize security and reliability, ship solutions quickly using modern engineering practices, collaborate with cross-functional teams, mentor engineers, drive customer adoption, and deliver reusable assets and end-to-end complex deliveries.

Leads development of resilient, scalable Java and Python services, enterprise integrations, and AI-assisted engineering practices. Architects microservices, Kubernetes deployments, messaging, observability, and backend infrastructure. Builds ML pipeline and feature-store capabilities for fraud and risk models, operationalizes models, and creates agentic AI services with production guardrails, monitoring, governance, and auditability. Mentors engineers, coordinates delivery across stakeholders, and ensures security, performance, testing, and operational requirements.

As a Software Engineer at Citadel, you will build systems for investments, collaborate with researchers, and tackle complex problems.

Lead and deliver secure, scalable cloud-native software solutions; write and review code; drive AI-assisted engineering adoption; evaluate vendors; promote operational stability and engineering best practices.

Lead Software Engineer who designs, builds, and maintains Python services and data/AI pipelines; writes and optimizes SQL; triages and debugs production incidents; develops LLM-powered workflows and agentic systems; implements observability (logging, metrics, traces, alerts); drives adoption of enterprise AI-assisted engineering practices and SDLC automation; and documents system behavior and support procedures.

Develops and debugs firmware and systems software enhancements, executes testing protocols, troubleshoots issues, and collaborates with internal and outsourced engineering partners. The role supports reliable, cost-effective solutions for low- to moderately complex products and requires knowledge of Python, Rust, C/C++, Linux shell scripting, software design, testing, and debugging.