Jobs at Nominal

Embeds with hardware engineering teams to build agentic workflows and AI skills that perform engineering tasks, including requirements checks, test-plan analysis, and issue investigation. Demonstrates value to customers, identifies reusable patterns, and translates customer needs into product capabilities. Requires strong Python and data skills, customer-facing communication, modern AI coding-agent experience, and willingness to travel. Hardware, test, controls, forward-deployed, solutions engineering, and security-clearance experience are advantageous.

Design and build the platform powering Nominal’s AI agents, MCP, workflows, integrations, and customer-facing tools. Develop LLM features involving prompting, tool design, retrieval, observability, and evaluation. Collaborate directly with hardware engineers and customer programs, convert field insights into scalable capabilities, and own agent functionality from concept through production. The role also involves shaping technical direction and improving how agents support hardware testing and operations.

Lead development of AI agent products and AI-native applications for hardware engineering workflows. Prototype ideas rapidly, build products end to end, improve agent user experiences, establish interaction patterns, and lead technical direction across product engineering. Partner with design, product, and platform teams while working closely with engineers and users.

Design and build the platform powering Nominal’s AI agents, including orchestration, planning, tool calling, memory, background execution, retrieval, context assembly, model routing, and fallbacks. Set technical direction, establish architecture, collaborate on evaluations and platform growth, mentor engineers, and deliver reliable LLM and agent systems to production.

Build and rapidly prototype AI-native product features for hardware engineers. Develop full-stack interfaces, APIs, streaming agent workflows, citations, editable outputs, and trustworthy human-agent handoffs. Own product decisions from concept through customer delivery, observe real users, and iterate on usability. The role requires strong front-end development with TypeScript and React, experience with AI-powered interfaces, rapid prototyping, product ownership, and modern AI coding-agent workflows.

Own complex technical customer issues from investigation through resolution by debugging logs, APIs, databases, code, and production systems. Partner with customers, product, and engineering to identify root causes, distinguish bugs from product gaps, and drive lasting improvements. Create documentation, troubleshooting guides, internal tools, and scalable support workflows. Strong Python and SQL skills are required, while hardware, testing, measurement, and technical data experience are valued.

As a Mission Operations Engineer, you'll deploy and integrate Nominal’s technology, enhance user experiences, provide training, and resolve operational challenges while building relationships with clients.

The Software Engineer on Mission Dev will build custom applications, design data pipelines, and collaborate closely with clients to solve complex challenges. Responsibilities include direct customer engagement and contributing to team growth.