Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Supports geospatial energy modeling and analysis through data preparation, processing, validation, cartography, literature reviews, and scientific programming. Uses Python and geospatial libraries to analyze and visualize data, develops analytical solutions for energy deployment and siting, and works with open-source geospatial tools, distributed computing environments, HPC systems, and cloud platforms.

Manages and tunes cybersecurity tools, including Splunk, SIEM, SOAR, firewalls, endpoint security, vulnerability detection, and cloud monitoring platforms. Designs and deploys secure on-premises and cloud environments, develops automation and integrations, leads security testing and infrastructure projects, and maintains technical documentation and procedures. The role also guides security policy decisions, supports cybersecurity operations, and leads initiatives improving automation, visibility, incident response, and security awareness.

Support development of software and data infrastructure for autonomous thin-film semiconductor experimentation. Develop Python-based instrument control and lab automation, implement APIs and messaging for distributed instruments, enable real-time data exchange and provenance, assist integration/testing/deployment, and build monitoring, logging, and visualization tools while collaborating with multidisciplinary teams.

Administers and develops Oracle EPM Cloud and Hyperion financial planning systems. Responsibilities include managing security and user access, maintaining nightly and close processes, troubleshooting integrations, developing enhancements with Groovy and EPM Automate, coordinating patching and regression testing, writing technical specifications and test plans, supporting data governance, analyzing issues, and creating stakeholder training materials. The role collaborates with IT and business teams to deliver reliable, scalable financial systems.

Conduct and lead adversarial cybersecurity research for energy systems: design and run threat emulation and cyber-range experiments, develop simulation and modeling tools, analyze IT/OT vulnerabilities, integrate results into resilience and risk models, publish findings, mentor junior staff, and support adversarial research infrastructure.

Graduate intern will research uncertainty quantification and hallucination detection for multi-turn LLM-based scientific assistants, develop probing methods for internal representations, build evaluation pipelines on HPC/multi-GPU systems, run experiments across scientific domains, and produce research code, documentation, and publications.

Implement and harden security controls across heterogeneous environments (AWS, HPC, OpenStack). Script and automate security tasks (Bash, Python), monitor vulnerabilities, analyze logs via SIEM, coordinate remediation, produce security artifacts and reporting, and partner with NLR Cyber Security, HPC, and Cloud teams to meet DOE cybersecurity requirements.

Conduct ML/AI research for power system operations, develop LLM/NLP-based solutions, collaborate with stakeholders, contribute to research papers, and work independently on projects.

Postdoctoral researcher will develop statistical and machine learning methods (combining statistics and deep learning) and software to model, fuse, and analyze large scientific datasets, characterize disruptive events impacting infrastructure, quantify uncertainty, design algorithms, and publish and present results.

Design, develop, and test AI/ML and optimization software for energy research on HPC systems. Build and evaluate models (deep learning, probabilistic methods, large-scale inference), productionize solutions, collaborate with researchers, mentor juniors, author technical publications, and support multiple projects across the research-to-implementation stack.