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Nominal Tech Stack

Test automation and data platform for hardware teams

Software Development Los Angeles, CA 51–200 employees Founded 2022 Privately Held
nominal.io LinkedIn

Nominal builds a test execution and real-time analytics platform for hardware engineering teams. The stack reveals a company handling mission-critical, air-gapped environments: heavy use of embedded OSes (QNX, RTEMS, FreeRTOS, VxWorks), industrial protocols (EtherCAT, MIL-STD-1553), and time-series infrastructure (Druid, InfluxDB, ClickHouse, TimescaleDB) alongside cloud deployment (AWS, Azure, GCP). Current adoption of React/Tailwind/shadcn suggests a UI/UX investment phase. Pain points cluster around high-frequency telemetry, distributed system complexity, and air-gapped deployment — all pointing toward a platform solving real-time validation at scale in defense and regulated hardware contexts.

Tech Stack 66 technologies

Core StackC++ Rust Python Java Go AWS Docker Kubernetes Terraform InfluxDB ClickHouse TimescaleDB Kafka Apache Spark Apache Flink PostgreSQL gRPC QNX RTEMS FreeRTOS VxWorks EtherCAT MIL-STD-1553 PyVISA Azure GCP Parquet Druid Apache Arrow Redpanda+36 more
AdoptingReact Tailwind CSS shadcn/ui Framer Motion Lottie

What Nominal Is Building

◆Challenges

  • Complex distributed systems
  • High-rate telemetry ingestion
  • Optimizing ci/cd pipelines
  • Ensuring consistent environments
  • Critical testing outcomes
  • Real-time telemetry validation
  • Deploying on air-gapped environments
  • High-scale mission-critical problems
  • Accelerating software infrastructure
  • Optimizing test and validation workflows

▲Active Projects

  • Infrastructure scaling across air-gapped, cloud, on-prem
  • Core hil runtime
  • Developer tooling platform
  • High-frequency hardware data infrastructure
  • Resilient data pipelines and integration workflows
  • Deploy nominal on customer-owned cloud accounts
  • Real-time backbone of test automation and simulation platform
  • Pipeline creation for defense accounts
  • Integrating connect platform with real-world test environments
  • Automating release gating

Hiring Activity

Accelerating80 roles · 30 in 30d

Department

Engineering
46
Sales
15
HR
4
Ops
4
Product
3
Support
3
Design
2
Finance
2

Seniority

Mid
38
Senior
30
Junior
5
Lead
4
Manager
3
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About Nominal

Nominal provides test execution, simulation, and real-time data analytics for hardware engineering teams at mid-market and enterprise scale. Founded in 2022 and based in Los Angeles, the company operates across three areas: a hardware testing and simulation runtime (supporting embedded OSes and industrial protocols), a high-frequency data ingestion and telemetry pipeline, and a developer tooling interface for cross-functional collaboration. The platform addresses both cloud-native and air-gapped deployment models, with active expansion into customer-owned infrastructure and defense-sector automation. Engineering dominates the hiring profile, supported by a growing sales function and small ops/product/support teams.

HeadquartersLos Angeles, CA
Company Size51–200 employees
Founded2022
Hiring MarketsUnited States, United Kingdom

Frequently Asked Questions

What tech stack does Nominal use?

Nominal's stack spans embedded systems (C++, Rust, QNX, RTEMS, FreeRTOS, VxWorks), industrial protocols (EtherCAT, MIL-STD-1553), real-time databases (Druid, InfluxDB, ClickHouse, TimescaleDB), stream processing (Kafka, Apache Flink), and cloud platforms (AWS, Azure, GCP). Frontend is shifting to React with Tailwind and shadcn/ui.

What is Nominal working on?

Core projects include a real-time test automation backbone, high-frequency hardware data infrastructure, air-gapped and on-prem deployment models, developer tooling, resilient data pipelines, and release gating automation — with active expansion into defense and customer-owned cloud accounts.

How this profile is built

Nominal's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.