Top Tech Jobs & Startup Jobs in NYC, NY

Coordinate scheduling, travel, recurring leadership meetings, planning cycles, onboarding, events, and administrative requests for the Engineering, Product & Design organization. Maintain SOPs, templates, and trackers; refine AI-assisted coordination workflows; review outputs; prioritize requests; and identify process improvements. The role requires strong calendar management, clear communication, discretion, service orientation, and comfort supporting senior leaders in a fast-paced environment.

Build frontend experiences for authentication and authorization, including role management, user and group administration, workspaces, API keys, data access controls, and enterprise sign-in. Develop scalable React and TypeScript architecture, improve performance for complex workflows and large datasets, and make permission models understandable. Partner with product, design, and backend teams to solve ambiguous problems and shape intuitive, secure user experiences.

Develop Python and/or Rust software that interfaces with test instruments, embedded hardware, industrial controllers, and customer test systems. Automate data collection and control, build instrumentation drivers, contribute to the open-source instro library, and troubleshoot hardware-software integrations on-site. Own a scoped hardware-software integration project with mentorship. Applicants should be graduating by Summer 2027 and have hands-on experience with instrumentation, data acquisition, embedded hardware, or related engineering projects.

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.

Own U.S. Government business development across defense agencies, managing pipeline creation, customer engagement, opportunity shaping, negotiations, and deal execution. Build relationships with military and civilian stakeholders, acquisition officials, technical leaders, industry partners, and mission organizations. Translate mission needs into platform opportunities, inform growth strategy, develop partnerships, represent the company at industry events, and expand early engagements into lasting programs. The role requires defense-sector expertise, an active U.S. security clearance, and travel up to 50%.

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.