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

Lead and scale a team of People Business Partners to act as trusted advisors to executives. Build operating models, run talent calibrations, develop managers, translate people data into recommendations, handle complex employee relations, and partner with Talent, Total Rewards, and People Ops to align people programs with business needs.

Leads the Chief Engineering organization for multiple next-generation space vehicle programs. Sets technical standards, oversees systems engineering and design assurance, manages technical baselines and readiness reviews, resolves cross-program integration risks, and represents technical strategy to executives, customers, and stakeholders. Recruits and develops engineering leaders while ensuring disciplined execution across mechanical, electrical, software, test, and verification activities.

Develop and evaluate machine learning models for object classification, anomaly detection, and data-driven space mission tasks. Support data ingestion, preprocessing, feature engineering, experimentation, and model evaluation. Write clean, tested Python code while collaborating with senior engineers. The role is fully onsite in Denver or Long Beach and requires compliance with U.S. ITAR technology export regulations.

Develop, train, and evaluate machine learning models for space-domain applications including object classification and anomaly detection. Build data ingestion, preprocessing, feature engineering, and model evaluation pipelines; conduct experiments; track results; and write clean, testable Python code. Collaborate with senior engineers while contributing to AI capabilities supporting space security and autonomous systems.

Develop and maintain distributed spacecraft ground control software in Elixir, including satellite command and control, mission planning, mission data processing, and data analysis systems. Participate in architecture, design, and code reviews while collaborating across engineering disciplines. The role involves solving greenfield problems involving resilient, fault-tolerant, concurrent, and real-time distributed systems.

Own spacecraft and embedded-platform security architecture, threat modeling, PKI, cryptography, secure boot, firmware, FPGA, RF, and supply-chain security. Build production security tooling, foundational services, test frameworks, and validation platforms for resource-constrained systems. Lead penetration testing, security assessments, secure development practices, and organization-wide hardening initiatives while mentoring engineers and addressing novel space-based threats.

Owns security architecture and defensive controls for spacecraft, flight software, firmware, FPGA designs, RF systems, and hardware platforms. Designs embedded PKI, secure boot, cryptographic systems, key management, and supply-chain protections. Leads security assessments, penetration testing, tooling, and automated validation frameworks while driving secure development practices across engineering teams. Requires deep hardware, firmware, cryptography, and software expertise in high-assurance space systems.

Build and operate cloud security tooling, automation, and controls across AWS and Azure. Secure IAM, networks, infrastructure-as-code, CI/CD, PKI, certificates, Kubernetes integrations, and secrets management with HashiCorp Vault. Lead security projects from design through implementation, troubleshoot multi-account cloud networks, conduct CSPM and threat detection work, and support incident response. Collaborate with engineering teams on secure architectures and leverage AI to accelerate development. The role is onsite in Denver or Long Beach, may include on-call duties and occasional travel, and requires obtaining and maintaining a security clearance.

Build predictive failure models, real-time anomaly detection systems, diagnostic tools, and operational dashboards for spacecraft manufacturing, testing, and integration. Apply statistical modeling, causal inference, reliability analysis, and data mining to identify root causes, bottlenecks, quality issues, supplier risks, and process improvements. Develop reproducible Python and SQL analyses that support engineering decisions and mission reliability.

Build predictive models, anomaly detection systems, diagnostic tools, dashboards, and statistical quality-monitoring solutions for spacecraft manufacturing and testing. Analyze telemetry, production, supplier, and reliability data to identify failures, bottlenecks, delays, and root causes. Develop reproducible Python and SQL analyses and communicate actionable findings to engineering and operations stakeholders.