Software Engineer, AI Platform

Nominal is building a connected test and operations platform for advanced hardware systems, combining AI, distributed systems, and physical engineering. The Software Engineer, AI Platform will build infrastructure, data systems, and AI capabilities for intelligent engineering tools, including agent infrastructure, retrieval systems, evaluation pipelines, and AI-powered workflows for anomaly investigation and root cause analysis.

Responsibilities

• Build the systems that power Hardware Intelligence, including agent infrastructure, evaluation pipelines, retrieval systems, and tooling for reasoning over engineering data
• Design and ship AI-powered workflows that help engineers investigate anomalies, perform root cause analysis, and understand complex hardware behavior
• Work across large-scale time series, telemetry, logs, and other engineering datasets to build robust, production-ready systems
• Prototype new approaches quickly, evaluate them with customers, and iterate based on real-world feedback
• Partner closely with engineers and product leaders to determine where the team should invest next
• Help establish engineering patterns, infrastructure, and best practices as Hardware Intelligence scales
• Engage directly with customers to understand how complex engineering problems are solved today and translate those workflows into product capabilities

Preferred

• Experience working with telemetry, sensors, robotics, aerospace, industrial systems, autonomous systems, or other hardware domains
• Experience building agentic systems, LLM applications, retrieval pipelines, or evaluation infrastructure
• Familiarity with time series databases, observability tooling, or data platforms
• Experience supporting engineers or scientists working with large-scale operational data
• Prior startup founding experience or experience on an incubation/new products team
• Telemetry Systems
• Sensor Systems
• Robotics
• Aerospace Systems
• Industrial Systems
• Autonomous Systems
• Hardware Systems
• Agentic Systems
• LLM Applications
• Retrieval Pipelines
• Evaluation Infrastructure
• Time Series Databases
• Observability Tooling
• Data Platforms
• Operational Data
• Large-Scale Data
• Startup Founding
• Incubation Teams
• New Product Development

Benefits

• 100% coverage of medical, dental, and vision insurance
• Unlimited PTO and sick leave
• Free lunch, snacks, and coffee
• Professional Development Stipend
• Annual company retreat

Company

• Software for hardware testing, monitoring, and analysis
• Los Angeles, California, USA
• https://www.nominal.io/
• Founded in 2022
• 201-500 employees

Qualifications

• 5+ years of experience building AI or machine learning products that shipped to production
• Experience working with large datasets, time series data, observability platforms, data infrastructure, or machine learning systems
• A background in ML, data science, applied AI, or adjacent fields that gives you strong intuition for working with data-intensive systems
• Strong software engineering fundamentals, with experience designing scalable backend or distributed systems
• Experience taking products from zero-to-one, whether at a startup or inside an entrepreneurial team within a larger company
• Strong product instincts and curiosity about customer problems
• To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State
• Experience working with telemetry, sensors, robotics, aerospace, industrial systems, autonomous systems, or other hardware domains
• Experience building agentic systems, LLM applications, retrieval pipelines, or evaluation infrastructure
• Familiarity with time series databases, observability tooling, or data platforms
• Experience supporting engineers or scientists working with large-scale operational data
• Prior startup founding experience or experience on an incubation/new products team
• 5+ years of experience building AI or machine learning products that shipped to production.

Required skills

• AI Product Development, Agentic Systems, Data Infrastructure, Distributed Systems, Evaluation Infrastructure, Large Language Model Applications, Large-Scale Data Processing, Machine Learning, Observability Platforms, Retrieval Pipelines, Scalable Backend Systems, Time Series Data

Experience

• 5+ years