Jobs at Nominal

Build infrastructure and AI systems for Hardware Intelligence: agent infrastructure, retrieval and evaluation pipelines, and tooling to reason over large-scale time series, telemetry, and engineering datasets. Prototype and ship AI-powered workflows for anomaly investigation and root cause analysis, work directly with customers, and establish engineering patterns as the platform scales.

Build and maintain GTM revenue infrastructure: Salesforce data model, data pipelines between sales tools, internal tooling (forecast trackers, comp calculators, dashboards), AI-driven workflows, and code repos. Partner with Sales, Marketing, and CS to improve data quality, automation, and tooling reliability while prototyping new integrations and maintaining governance.

Manage enterprise sales, build relationships with clients, develop strategies to meet testing outcomes, and lead a sales team.

The Frontend Engineer will develop features using React and TypeScript, collaborating with teams to enhance user experience and manage large data efficiently.

As a Software Engineer on the Mission Dev team, you will deploy software in federal environments, manage integrations, and support mission-critical programs for government agencies.

The Program Manager will oversee strategic federal accounts, ensure program success, maintain customer relationships, coordinate teams, drive planning, communicate progress, and identify growth opportunities, requiring strong program management and technical skills.

As a Software Engineer on the Mission Dev team, you'll build and deploy custom applications, design data pipelines, and support customer engagement to meet specific data challenges in dynamic environments.

As a Mission Operations Engineer, you will deploy and integrate solutions, build relationships with clients, provide training, enhance products, and solve operational issues.

The Backend Software Engineer will design and build Nominal's distributed infrastructure for telemetry and validation, focusing on performance, reliability, and scalability.

Own deployment and operation of Nominal's self-hosted, air-gapped, and on-prem infrastructure. Troubleshoot Linux, networking, Kubernetes, and storage in production, work directly with customer IT and security teams, build provisioning automation, runbooks, and observability, and support critical onsite implementations while shaping strategy for regulated deployments.

Support the Growth Enablement team by managing sales content, learning platforms, and program logistics. Curate and QA enablement content, build and maintain the internal sales hub, run onboarding bootcamps, coordinate cross-functional stakeholders, and maintain enablement calendars to improve seller productivity and training outcomes.

The Deployment Systems Engineer will deploy and monitor infrastructure for advanced hardware systems, manage projects, and innovate in air-gapped environments.

Build, optimize, and maintain large-scale build systems (Bazel), CI/CD pipelines, and release automation. Own developer infrastructure, observability, telemetry, logging, and metrics. Partner with product teams to remove developer friction and improve engineering productivity as the monorepo and organization scale.

Build scalable React/TypeScript frontends to visualize and interact with large-scale, real-time telemetry. Define data models and workflows, optimize rendering and performance, collaborate with product, design, and backend teams, and turn ambiguous requirements into intuitive, mission-critical interfaces for technical users.

Lead Federal mission deployments of Nominal's platform: own project lifecycles, translate technical and bureaucratic complexity into program plans, deploy and integrate software on government networks, train and support users, build stakeholder relationships, and drive product improvements. Frequent customer engagement and up to 50% travel; must be eligible for U.S. Top Secret clearance.

Lead full-cycle recruiting for commercial sales, RevOps, G&A, and marketing roles. Build sourcing pipelines, partner with hiring managers, use data-driven strategies, and improve recruiting operations while supporting other hiring needs.

Lead a product area enabling hardware engineers to review test data: define vision, gather evidence, translate ambiguity into requirements, partner with engineering and design, and ship AI-native analytics and review workflows that scale across customers.