# Software Engineer, AI Platform

**Company:** [Nominal](https://hotfix.jobs/companies/nominal)
**Location:** New York, NY, Los Angeles, CA, Austin, TX, Seattle, WA
**Role:** Fullstack Engineering
**Skills:** artificial intelligence, Machine Learning, Python, Backend Systems, Distributed Systems, time series data, telemetry, Observability, Data Infrastructure, llm applications, retrieval pipelines, evaluation infrastructure, Agentic Systems, aerospace, Robotics
**Posted:** 2026-08-05

> Build zero-to-one AI infrastructure and workflows that help hardware engineers investigate anomalies, perform root-cause analysis, and reason over telemetry, time series, logs, and other engineering data. The role requires production AI experience, strong backend or distributed-systems fundamentals, and comfort working directly with customers.

## Job Description

## Responsibilities
- Build systems powering 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 with engineers and product leaders to determine where the team should invest next.
- Establish engineering patterns, infrastructure, and best practices as Hardware Intelligence scales.
- Engage directly with customers to understand complex engineering workflows and translate them into product capabilities.

## Requirements
- Experience building AI or machine-learning products shipped to production.
- Experience with large datasets, time series data, observability platforms, data infrastructure, or machine-learning systems.
- Background in ML, data science, applied AI, or an adjacent field involving data-intensive systems.
- Strong software engineering fundamentals and experience designing scalable backend or distributed systems.
- Experience taking products from zero to one, at a startup or within an entrepreneurial team.
- Strong product instincts and curiosity about customer problems.

## Nice to Have
- Experience 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 or new-products team.

## Compensation & 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.
- ITAR-related work may require U.S. citizenship or nationality, lawful permanent residency, refugee or asylee status, or eligibility to obtain required authorizations.

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