Top Remote Python Jobs in Houston, TX

Lead invention of AI-driven ASIC development methodology, identify cross-stage bottlenecks, build scalable data pipelines, define metrics, mentor engineers, and evaluate AI/EDA research to improve predictability and cycle time.

As an Engineer at Archer, you will work on advanced aerospace programs, focusing on survivability technologies and Operations Analysis, leading cross-disciplinary teams.

Lead and mentor SRE teams; partner with engineering, operations and product; apply statistical analysis and networking expertise to diagnose performance and reliability issues; define and implement data feeds; influence technical decisions and investments; build tooling to automate analytical workflows and increase platform reliability.

Lead Leap's engineering function: hire and scale a high-performing team, own the technical roadmap and architecture, build AI-native data and production ML systems (LLMs/agents), and deliver correct, auditable healthcare workflows for drug identity, causal attribution, and intervention automation.

The Staff Software Engineer will lead AI integration into software design, develop scalable systems, and mentor other engineers while improving best practices.

Design, build, and own end-to-end features for AI-powered finance agents and agent orchestration. Implement integrations with accounting and payment platforms, create dashboards and reporting, ensure security and data integrity, make architectural choices, monitor production, and drive AI-assisted, agentic development workflows.

Join our remote R&D team to innovate in graphics and spatial computing, implementing advanced techniques for immersive streaming applications.

Support and optimize products migrated to AWS, implement cloud best practices, maintain operational coverage, enhance automation, observability, CI/CD/GitOps, and security. Collaborate with development and platform teams to scale, troubleshoot, and ensure reliable SaaS operations.

The Senior Solutions Engineer supports technical implementation and advisory for complex customer integrations, ensuring successful onboarding and troubleshooting while collaborating with cross-functional teams.

The DevOps Engineer at TensorWave will develop platform integrations, build services and tools for automation, and ensure reliable system performance across multiple infrastructure systems, focusing on production-quality software development.

Support customer and partner relationships by demonstrating radar value, lead integrations with C2/VMS/autonomous platforms, plan and execute installations, tune systems, provide technical support, analyze post-demo data, create training materials, collect feedback, and travel up to 50%.

As an Infrastructure Engineer at Tempo, you'll build and manage infrastructure to enhance engineering efficiency and tackle challenges in the devops process.

Build and scale ML-optimized HPC infrastructure, manage Kubernetes-based GPU/TPU superclusters, optimize for AI/ML training, and mentor teams while innovating in ML infrastructure.

Lead the development of AI-powered trading systems, focusing on building pipelines, enhancing research with AI, filtering signals, and managing infrastructure for data processing in a fast-paced trading environment.

The Software Development Engineer II will develop navigation solutions, balance rapid development with reliability, and optimize performance while promoting operational excellence at Mapbox.

As a Full-Stack Engineer, you'll design and build AI-powered applications, develop front-end interfaces, and scalable back-end services for enterprise users while collaborating with research and product teams.

As VP of Engineering, you'll architect and oversee decentralized trading features, microservices, and DevOps while mentoring engineers and driving tech choices.

Embed with enterprise customers to scope, build, and deploy automations on the Kognitos platform. Translate undocumented processes into production-grade automations, build integrations with ERPs/APIs/databases, debug production issues, own technical relationships, and feed field learnings into product and engineering. Travel to customer sites as needed.

The Backend Engineer will develop high-performance trading systems, optimize algorithms, work with distributed architectures, and ensure system reliability and scalability while collaborating on blockchain-related technologies.

The Senior Full-Stack Engineer will develop and ship features across frontend and backend systems, work with various frameworks and databases, write specifications, and improve development processes.

Lead the quality engineering efforts for Replicant's AI platform by defining standards, improving testing strategies, and mentoring a QA team to ensure high-quality outputs across software systems.

Design and deploy AI-driven automation solutions for revenue teams. Enhance productivity tools, integrate systems, and analyze performance metrics.

The Senior Data Infrastructure Engineer designs and scales data platforms on AWS, optimizing performance, cost, and security while mentoring junior engineers.

Own quality engineering and test automation for BRINC's LiveOps web platform and backend services. Design and maintain automated API, integration, and end-to-end test frameworks, validate security/IAM controls and ML/vision outputs, build test infrastructure, run performance/load testing for real-time streaming and teleoperation, integrate tests into CI/CD, triage failures, and produce quality metrics and release-readiness reports.

Lead QA strategy and execution for ARBI and Athena: audit QA, define test architecture, build automated frontend/API/integration/regression suites, validate AI/LLM behaviors and data workflows, integrate tests into CI/CD, perform performance and reliability testing, and own release readiness, metrics, and QA operating rhythms across the product.