Full-Time

Software Engineer

Confirmed live in the last 24 hours

Nominal

Nominal

11-50 employees

Software tools for engineering hardware systems

Industrial & Manufacturing
Enterprise Software
Aerospace
Defense

Compensation Overview

$120k - $180kAnnually

Entry, Junior, Mid

New York, NY, USA

Position requires onsite presence in Soho, NY.

Category
Full-Stack Engineering
Software Engineering
Required Skills
Kubernetes
React.js
D3.js
Apache Kafka
Java
Postgres
TypeScript
AWS
Next.js
Requirements
  • Experience developing and deploying infrastructure for high-scale- distributed systems or complex internal tools
  • Excitement to be a foundational member of the early team building software tools to amplify the capabilities of remarkable hardware engineering teams
  • Interest in occasionally traveling to spend time with end-users on-site (e.g. rocket test stands, spacecraft clean rooms, automated manufacturing facilities)
  • Relevant data technologies: Apache Arrow, DataFusion, Flink, Beam, Kafka, D3.js, Superset, DuckDB, Plotly.js, TimescaleDB, QuestDB, Druid, Parquet, InfluxDB
  • Modern technologies: Typescript, Next.js, tRPC, Java, Wasm, WebGL, ZeroMQ, serverless functions, React, Postgres
  • DevOps tools and infrastructure: AWS, K8s, EKS, Helm, FluxCD
Responsibilities
  • Innovate at the cutting edge of data infrastructure, considering high frequency, high volume, streaming data with transformation and alerting capabilities
  • Design and build scalable APIs to power a low-friction user experience while fetching and transforming massive volumes of data
  • Help grow the team by sourcing, interviewing, and onboarding new engineers

Nominal.io provides software tools designed specifically for engineering teams working with complex hardware systems. Their platform allows these teams to test and deploy hardware systems significantly faster than traditional methods, making it particularly beneficial for industries such as aerospace, defense, energy, and telecommunications, where hardware performance is critical. The platform consolidates data from various sources, enabling engineers to explore, monitor, and analyze the information necessary for optimal system performance. Unlike many competitors, Nominal.io focuses on a secure, unified environment for data handling, which enhances the resilience and efficiency of hardware systems. The company operates on a software-as-a-service (SaaS) model, allowing clients to subscribe for continuous access to the platform and its updates. Nominal.io aims to be a valuable partner for engineering teams, helping them accelerate their hardware deployment processes.

Company Stage

Series A

Total Funding

$26.7M

Headquarters

Austin, Texas

Founded

2022

Growth & Insights
Headcount

6 month growth

187%

1 year growth

187%

2 year growth

187%
Simplify Jobs

Simplify's Take

What believers are saying

  • Nominal.io's recent $27.5M funding rounds from prominent investors like General Catalyst and Lux Capital indicate strong financial backing and growth potential.
  • The company's partnerships with the U.S. government and experience from founders with backgrounds at SpaceX, Palantir, and NASA enhance its credibility and industry connections.
  • Emerging from stealth mode with significant funding and a specialized focus positions Nominal.io for rapid market penetration and innovation.

What critics are saying

  • Operating in highly specialized sectors like aerospace and defense may limit Nominal.io's market size and growth opportunities.
  • The need for continuous innovation to stay ahead in the competitive industrial and technological sectors could strain resources and focus.

What makes Nominal unique

  • Nominal.io focuses on mission-critical hardware systems in sectors like aerospace and defense, setting it apart from competitors who may target broader markets.
  • Their SaaS model ensures continuous revenue and allows for regular updates and feature enhancements, providing a competitive edge in customer satisfaction.
  • The platform's ability to consolidate and secure data from various sources offers a unique value proposition for engineering teams dealing with complex hardware systems.

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