Top Tech Jobs & Startup Jobs in Los Angeles, CA

Design defined product features and improvements for a connected hardware testing platform. Translate complex data workflows into intuitive experiences, conduct user research, create flows and prototypes, collaborate with engineering and product through implementation, and contribute to reusable design-system components. The role also involves incorporating customer feedback, explaining design decisions, and supporting products used to test advanced hardware systems.

Summer 2027 Product Design Intern working with designers, engineers, and product partners on a scoped project for hardware engineering customers. Responsibilities include user research, workflow analysis, AI-assisted prototyping, detailed product design, design critiques, and contributing to design system components and documentation. Candidates should demonstrate visual design fundamentals, thoughtful problem-solving, prototyping ability, curiosity about technical problems, and openness to feedback.

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.

Support hardware-software integration for test stands, instrumentation systems, and live control environments. Develop Python or Rust software using instrumentation protocols and vendor SDKs, automate data collection and control, contribute drivers to an open-source instrumentation library, troubleshoot integrations on-site, and complete a scoped hardware integration project.

Mission Dev interns build forward-deployed software for complex hardware systems. Responsibilities include understanding customer testing workflows, developing integrations, data pipelines, and applications for high-volume hardware data, owning projects from discovery through deployment and support, iterating based on user feedback, and sharing customer insights with product and engineering teams.

Build forward-deployed software for engineers testing complex hardware systems. Responsibilities include understanding customer workflows, developing integrations, data pipelines, and applications for high-volume hardware data, owning solutions through deployment and support, iterating based on user feedback, and contributing reusable capabilities to the core product.