Software Engineer, Applied AI
CHAOS Industries2 months 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, validate hypotheses, and create robust, testable, maintainable, and deployable models with product and mission teams.
- Evaluate and improve model performance in adversarial GPS-denied, noisy, low-power, and edge deployment conditions.
- Develop production-quality software for data acquisition, model serving, monitoring, lifecycle management, data processing, and system integration.
- Prototype rapidly with stakeholders and iterate toward production-ready implementations.
- Improve AI system reliability through testing, benchmarking, observability, interpretability, failure analysis, and performance optimization.
- Learn unfamiliar codebases, research artifacts, documentation, and technical domains to drive execution independently.
- Balance technical discovery, experimentation, implementation, meetings, and production support.
Requirements
- A BS or MS 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 analog or digital RF signal processing, digital picture or video processing, LLM applications, computer vision, signal-processing systems, autonomous or robotic systems, AI agents, sensor fusion, tracking, or moving-target detection.
- Experience in aerospace, defense, critical infrastructure, robotics, or other mission-critical environments is preferred.
- Open-source contributions or technically significant public work are preferred.
- Familiarity with low-latency inference, hardware-constrained systems, or degraded-connectivity environments is preferred.
Benefits
- Medical, dental, and vision benefits 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; annual bonuses are planned.
- The role requires working onsite at least 2 days per week from the San Francisco office, with 2–4 days preferred.
- Travel is expected at 10–20%, mostly domestic.
Tech Stack
Categories
About CHAOS Industries
CHAOS Industries builds networked sensing, communications, and real-time software systems for defense, government security, commercial aviation, and critical infrastructure operators. It sells integrated hardware–software platforms and related services to government and industrial customers. Founded in 2022 and headquartered in Los Angeles, the privately held company also maintains offices in Washington, D.C., San Francisco, San Diego, Seattle, and London, and its products are designed for fielded, time-critical operations.