Software Engineer, Applied AI
CHAOS Industriesabout 3 hours ago
Base Salary
$150k - $170k/yr
Responsibilities
- Build applied AI systems including model integration, inference services, evaluation pipelines, and production-facing AI capabilities.
- Research, collect data, verify hypotheses, and develop robust, testable, maintainable, and deployable models with product and mission teams.
- Evaluate and improve model performance in adversarial GPS-denied environments, low-power or edge deployments, and degraded or noisy conditions.
- Develop production-quality software for data acquisition, model serving, monitoring, lifecycle management, data processing, and system integration.
- Create rapid prototypes with stakeholders and iterate them toward production-ready implementations.
- Improve AI system reliability through testing, benchmarking, observability, interpretability, failure analysis, and performance optimization.
- Learn unfamiliar codebases, documentation, research artifacts, and technical domains to drive execution with limited oversight.
- Balance technical discovery, experimentation, implementation, meetings, and production support.
Requirements
- Bachelor’s or master’s degree in Computer Science, Engineering, Machine Learning, Applied Mathematics, Physics, or a related technical field.
- At least 2 years of professional software development experience.
- Strong Python programming skills and 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, edge deployment environments, and GPU optimization.
- Preferred experience includes RF signal processing, digital picture or video processing, machine learning productization, LLM applications, computer vision, signal processing, autonomous or robotic systems, AI agents, agentic workflows, drones, sensor fusion, tracking, moving-target detection, and mission-critical environments.
- Open-source contributions or other technically significant public work are preferred.
- Experience with edge deployment, low-latency inference, hardware-constrained systems, or degraded-connectivity environments is preferred.
Benefits
- Medical, dental, and vision benefits are fully paid by the company.
- 401(k) with a 50% company match up to 6% of pay, plus FSA, HSA, and life insurance.
- Free daily lunch, no-meeting Fridays, unlimited PTO, and casual dress code.
- Relocation assistance and pre-IPO stock option grants are available.
- The role requires working onsite at least 2 days per week from the San Francisco office, with 2–4 days preferred, and includes 10–20% mostly domestic travel.
About CHAOS Industries
CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage—domain dominance. CHAOS Industries’ products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats.