Software Engineer, Applied AI

• Build applied AI systems across CHAOS product lines, including model integration, inference services, evaluation pipelines, and production-facing AI capabilities
• Perform research and build products by working with product and mission teams to research, collect data, verify hypothesis and create robust, testable, maintainable, and deployable models
• Evaluate and improve model performance under real-world conditions, including adversarial GPS denied environments, low-power or edge deployments, and degraded or noisy inputs
• Develop production-quality software for data pipelines for acquisition, model serving, monitoring, lifecycle management, data processing, and system integration.
• Create rapid prototypes with mission and product teams, other relevant stakeholders and iterate toward production-ready implementations.
• Contribute to AI system reliability, by conducting testing, benchmarking, observability, interpretability, failure analysis, and performance optimization.
• Learn quickly from existing codebases, documentation, research artifacts, and domain experts, then use that knowledge to drive execution.
• Manage time effectively across meetings, technical discovery, implementation, experimentation, and production support.

• Travel: 10-20%, mostly domestic.
• Location: Must work on-site at least 2 days per week from our San Francisco office; 2–4 days per week preferred.

• BS/MS in Computer Science, Engineering, Machine Learning, Applied Mathematics, Physics, or a related technical field.
• 2+ years of professional software development experience.
• Strong Python programming skills.
• Experience building, testing, deploying, and supporting production software systems.
• Experience with AI/ML model integration, model serving infrastructure, or model lifecycle management.
• Experience with model evaluation, benchmarking, robustness testing, interpretability, or ML observability.
• Familiarity with APIs, distributed systems, containers, CI/CD, observability, and edge deployment environments/GPU optimization
• Excited to learn unfamiliar technical domains

• Experience with analog or digital RF signal processing
• Experience with digital picture or video processing
• Experience productizing machine learning models, LLM applications, computer vision systems, signal-processing systems, or autonomous/robotic systems.
• Experience building AI agents or agentic workflows
• Experience with drone, robotics, sensor fusion, tracking, or moving-target detection systems.
• Contributions to open-source projects or technically significant public work.
• Experience in aerospace, defense, critical infrastructure, robotics, or other mission-critical environments is a strong plus
• Familiarity with edge deployment, low-latency inference, hardware-constrained systems, or degraded-connectivity environments.

Why CHAOS?

• Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
• Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
• Our Perks: Free daily lunch, ‘No meeting Fridays’, unlimited PTO, casual dress code
• Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
• Team Growth: 250 employees and counting across 5 global offices

The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. 

Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.

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