Southwest Research Institute · 11 hours ago
LEAD COMPUTER SCIENTIST - LEAD ENGINEER - SR. COMPUTER SCIENTIST - Medical AI Software Engineering
San Antonio, TX
Full-time
Onsite
Senior Level, Lead/Staff
8+ years expSouthwest Research Institute is focused on producing innovative solutions for sensing and understanding the world through Machine Learning techniques. The Lead Computer Scientist will lead the architecture and design of large-scale medical AI software systems, mentor staff, and drive technical strategy in the development of AI solutions.
Innovation ManagementMarket ResearchMechanical EngineeringNon ProfitProduct Research
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Lead architecture and design for complex, large-scale medical AI software systems and platforms for SwRI clients
Design and implement scalable, reliable, and efficient systems by integrating advanced system engineering and ML Ops practices
Drive technical strategy for the application of modern and traditional machine learning algorithms in decision support systems
Identify and architect opportunities to extend our automation and AI solutions into new industries and applications
Mentor engineering and research staff, raising the technical bar across projects
Work closely with engineers, researchers, and external partners to shape solutions that are flexible, modular, and adaptable to diverse applications
Foster innovation by integrating cutting-edge ML Ops techniques into the overall system architecture, ensuring seamless model deployment and monitoring
Define and oversee system and software architecture for advanced AI-enabled platforms, ensuring scalability, security, and compliance with medical and government standards
Partner with researchers and engineers to guide implementation of ML/AI software solutions and ensure alignment with system-level requirements
Collaborate with clients and stakeholders to shape requirements into technical roadmaps and proposals
Develop and maintain infrastructure for CI/CD pipelines tailored for machine learning model versions, experimenting with new frameworks and tools to optimize operations
Provide technical leadership across multiple concurrent projects, ensuring quality, performance, and maintainability
Implement robust monitoring and alerting mechanisms to ensure the reliability and performance of deployed ML models
Establish development best practices, including CI/CD, code quality standards, and security compliance
Stay current with emerging AI technologies and evaluate integration into existing platforms
Qualification
Required
Requires a Bachelors, Masters or a PhD in Computer Science, Data Science, Software Engineering, Data Engineering, Computer Engineering or Electrical Engineering
8+ years: Proven experience in ML Ops, including model deployment, CI/CD pipelines, model versioning, monitoring, and lifecycle management
3 years: Experience in a technical leadership or software architecture role
Deep expertise in software architecture for distributed systems, AI/ML platforms, and cloud-native environments
Strong proficiency in Python and modern development practices (Git, CI/CD, Agile)
Strong foundation in systems engineering principles, with the ability to design an
Experience with SQL/NoSQL databases, containerization (Docker, Kubernetes), and microservices architecture
Experience architecting systems with regulatory and security constraints (HIPAA, DoDI 8500.1, FedRAMP)
Familiarity with modern front-end frameworks (React.js, Flutter) and decision-support tool development
Demonstrated ability to lead teams, mentor engineers, and engage directly with clients at executive and technical levels
A valid/clear driver's license is required
Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information
Applicant must be a U.S. citizen
Company
Southwest Research Institute
Southwest Research Institute is an independent organization benefiting the government and others through innovative science and more.
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
$19.47MKey Investors
NASAUS Department of EnergyARPA-E
2025-03-11Grant· $3M
2023-06-09Grant· $2M
2022-12-14Series Unknown· $1.61M
Leadership Team
Walter D. Downing
Executive Vice President and COO
Alan Stern
Associate Vice President
Recent News
2025-12-17
2025-12-12
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