Top Tech Jobs & Startup Jobs in Los Angeles, CA

Coach development teams in Scrum and Agile best practices, remove impediments, support project delivery, and ensure Scrum principles are understood by teams and stakeholders. The role includes gathering and documenting technical and business requirements, using Jira and Confluence, leading client delivery engagements, teaching Agile concepts, and collaborating with senior client management in a classified DoD or Space Force environment.

Conduct proactive, hypothesis-driven threat hunts across endpoint, network, identity, cloud, and security telemetry. Develop queries, correlate large datasets, map findings to MITRE ATT&CK, reconstruct attacker activity, and identify sophisticated or previously undetected compromises. Apply digital forensics and incident response practices, document findings, escalate validated incidents, and improve detection coverage through reusable methodologies and behavior-based detections.

Designs, implements, and optimizes secure, scalable cloud and hybrid-cloud architectures for mission-critical space sensing capabilities. Leads architecture, platform engineering, DevSecOps, and development teams; develops cloud strategies and platform roadmaps; evaluates emerging technologies; guides automation and modernization; and collaborates with technical and business stakeholders to deliver resilient enterprise systems.

Develop, test, optimize, reverse engineer, and maintain embedded software supporting hardware functionality across diverse devices and platforms. Troubleshoot operational issues, configure platform-specific solutions, collaborate with cybersecurity specialists, and create automated testing and workflow optimization solutions for mission-focused client systems.

Develop, test, deploy, and maintain deep learning computer vision models for space and missile warning applications. Build sensor fusion and target tracking solutions, optimize real-time systems with GPU programming, and contribute to embedded systems and fire control architectures using Python, C, C++, and Rust. Collaborate with multidisciplinary teams to deliver mission-critical AI capabilities.

Design and implement AI architectures and solutions for client business needs. Develop innovative solutions using generative and agentic AI, deep learning, computer vision, NLP, and related technologies. Apply software engineering expertise, work independently, mentor team members, and potentially lead Agile teams. The role requires a bachelor’s degree, Secret clearance eligibility, and at least two years of relevant experience.

Develops, trains, tests, deploys, and maintains production computer vision and machine learning models for mission-critical applications. Responsibilities include deep learning, transformer-based vision models, sensor fusion, target tracking, GPU optimization, embedded systems, and real-time missile defense software. The engineer collaborates with multidisciplinary space, military, intelligence, engineering, and AI teams to design and implement robust operational capabilities.

Analyze structured and unstructured data for U.S. Space Force stakeholders. Responsibilities include sourcing datasets, defining KPIs, developing analytical scripts and machine learning models, automating processes, building Tableau or Power BI dashboards, and communicating insights to senior government and military leaders. The role also involves applying generative AI tools and supporting data strategy and decision-making.

Develop end-to-end AI and machine learning software solutions for mission-critical systems. Responsibilities include full-stack LLM development, RAG implementation, model selection and registry management, inference engine integration, REST API and React development, and DevSecOps CI/CD pipeline management. The role also supports digital and systems engineering modernization, considers broader operational ecosystems, and applies innovative AI technologies. Candidates must have relevant software development experience, a STEM bachelor’s degree, and the ability to obtain a Secret clearance.

Design, implement, and train reinforcement learning and multi-agent algorithms; build scalable Python-based training pipelines and simulated environments; run distributed training with cloud and container orchestration; transition models to production, optimize system performance, and collaborate with domain experts to align rewards and evaluations with mission objectives.