Nominal Logo

Nominal

Forward Deployed Engineer, AI

Posted Yesterday
Be an Early Applicant
In-Office
New York, NY, USA
Mid level
In-Office
New York, NY, USA
Mid level
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.
The summary above was generated by AI
About Nominal

Our mission is to accelerate how the world engineers new hardware. Nominal's connected test and operations platform powers the world's most advanced hardware programs and its most ambitious startups, from spacecraft, racecars, and autonomous vehicles to next-generation defense and energy programs. Our customers include Anduril, Shield AI, Hermeus, Albedo, Shinkei, and Pratt Miller Motorsports, as well as U.S. Navy and U.S. Air Force programs. Now we're expanding across the entire hardware lifecycle, building the foundation, AI-native applications, and agents that accelerate innovators' work and change what's possible to build.

We're backed by Sequoia, General Catalyst, Founders Fund, Lux Capital, and Lightspeed, and our team comes from SpaceX, Apple, Palantir, Anduril, Applied Intuition, and other leading companies.

About Hardware Intelligence

We're the team behind Nominal's agents, AI-native applications, and MCP, and its forward-leaning AI bets. Our mission is to unlock the bottlenecks of the hardware lifecycle with AI. Our agents reason over physical reality, from high-rate telemetry and test campaigns to designs and simulations, where real test results are the ground truth their work is checked against. We believe opinionated AI, built for the real work of hardware programs, will change how the world engineers.

We're collaborative, iterative, and high-agency, and we're human-centered and customer-focused. We build with the newest AI tools every day, and because those tools keep changing, so do we: we stay curious and keep looking for the better way. Our team spans data science and ML, distributed systems, search, and knowledge systems, and we obsess over how agents can be genuinely useful to the engineers who rely on them.

The Role:

As an AI Forward Deployed Engineer, you'll embed with hardware teams, build agentic workflows and skills on Nominal, and bring back the patterns that should become product.

💼 What You'll Do:

  • Embed with hardware engineering teams at build-partner programs, on site and alongside them.
  • Build custom agentic workflows and skills for each partner's programs that do real engineering work: turning requirements and test plans into checks, running analyses, and investigating issues.
  • Spot the patterns across customers and bring them back as product: new skills, agent capabilities, and eval tasks.
  • Win build partners by proving value: measured before-and-after results on real programs.
  • Be the technical voice of the customer inside the Hardware Intelligence team.

🚀 What you'll bring:

  • 4+ years as a software engineer, with strong Python and data skills.
  • Hands-on experience building agentic workflows: tool use, prompting, skills, and checking whether they actually work.
  • Comfort in front of customers: you can run a working session with senior engineers and earn their trust.
  • A builder's instinct for what's reusable and what's one-off.
  • Willingness to travel to customer sites.
  • You build with modern AI coding agents (Claude Code, Cursor, Codex) every day, and stay curious and open to better ways of working. The tools keep changing, and so do we.

⚡️ Nice to have:

  • You've been a test, flight test, controls, or hardware engineer before moving into software.
  • You've been a forward-deployed or solutions engineer at an AI or data company.
  • You've turned a one-off customer build into a reusable product feature.
  • You hold an active security clearance, or can obtain one.

Benefits/Perks

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

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

ITAR Requirements
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. Learn more about the ITAR here.
HQ

Nominal New York, New York, USA Office

New York, NY, United States

Nominal New York, New York, USA Office

New York, NY, United States

Similar Jobs

2 Days Ago
In-Office
138K-208K Annually
Senior level
138K-208K Annually
Senior level
Cloud • Information Technology • Security • Software
Leads technical onboarding, implementation, and post-sales customer relationships for AI cybersecurity solutions. Develops implementation plans, manages milestones and risks, coordinates technical support, documents repeatable processes, and collaborates with Sales, Engineering, Services, Product, and Support. Serves as the primary technical contact for customer engineering and security teams, drives adoption and time-to-value, and provides customer feedback to inform product roadmaps. Requires extensive post-sales technical experience, AI deployment expertise, enterprise infrastructure knowledge, and complex deployment experience.
Top Skills: Ai ApplicationsAi SystemsContainersEnterprise InfrastructureHybrid InfrastructureNetworkingOn-Premises InfrastructureRed Hat OpenshiftSaas IntegrationsSecurity Protocols
6 Days Ago
In-Office
New York, NY, USA
122K-241K Annually
Junior
122K-241K Annually
Junior
Biotech • Pharmaceutical
Build AI-powered finance applications using Databricks, Python, LLMs, and governed financial data. Develop tools for variance commentary, financial close checklists, reconciliation, FP&A, natural-language data exploration, and financial analysis. Partner with finance stakeholders, measure adoption and productivity gains, and maintain governance separating AI recommendations from financial controls. The role requires software engineering, finance process knowledge, and experience with Databricks, LLM applications, finance systems, and production-ready applications.
Top Skills: CertiniaContext EngineeringDatabricksDatabricks GenieDatabricks Vector SearchGenie CodeGenieoneLarge Language Models (Llms)Microsoft 365Microsoft CopilotMlflowNetSuitePrompt EngineeringPythonRetrieval-Augmented GenerationStructured OutputsWorkday Adaptive Planning
Senior level
Big Data • Analytics • Business Intelligence • Big Data Analytics
Build and deploy production-grade Generative AI and Agentic AI solutions for enterprise clients. Responsibilities include designing LLM applications, RAG systems, AI agents, and multi-agent workflows; integrating enterprise data and applications; deploying and scaling cloud-based systems; and optimizing reliability, security, performance, and cost. The role requires direct client engagement, strong software engineering skills, cloud expertise, and hands-on experience with LLM frameworks, agent orchestration, and production AI operations.
Top Skills: A2AAi AgentsAmazon BedrockAnthropic ClaudeAPIsAWSAzureAzure Ai FoundryAzure Ai SearchAzure Openai ServiceBedrock GuardrailsBigQueryCloud-Native ApplicationsDatabasesEmbeddingsGCPGoogle AdkGoogle GeminiJavaScriptLangchainLanggraphLlamaindexLlmsMcpOpenaiOpensearch ServerlessPythonRagSemantic KernelTypescriptVector DatabasesVertex AiVertex Ai Vector Search

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account