Software Engineer, Applied Intuition

Cloud Infrastructure

$126-186k

React

AWS

Docker

Kubernetes

GCP

Python

Java

Bash

C++

Azure

Golang

Mid and Senior level

San Francisco Bay Area

5 days a week in office (Sunnyvale, CA)

Physical AI bringing intelligence to moving machines

Open for applications

Physical AI bringing intelligence to moving machines

1001+ employees

B2BArtificial IntelligenceTransportDeep TechAnalyticsMachine LearningSaaSAutomation

Open for applications

$126-186k

React

AWS

Docker

Kubernetes

GCP

Python

Java

Bash

C++

Azure

Golang

Mid and Senior level

San Francisco Bay Area

5 days a week in office (Sunnyvale, CA)

1001+ employees

B2BArtificial IntelligenceTransportDeep TechAnalyticsMachine LearningSaaSAutomation

Company mission

To build physical AI that create a safer, more prosperous world.

Job

Company

Role

Who you are

A Bachelor's degree in Computer Science, Software Engineering, or equivalent
3+ years of experience in a software engineering role working on infrastructure, monitoring, or a large scale software product
3+ years of coding experience from shell scripting (e.g., Bash) to higher-level languages (e.g., Python, C++)
Experience with microservice orchestration frameworks such as Kubernetes
Experience in the following: Golang, Python, Java, React, and C++
Experience working with containerized systems (e.g., Docker)
Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles

Desirable

Experience utilizing open source tooling
Experience with deploying software on either public clouds (e.g., AWS) or on-premise clusters

What the job involves

Modern autonomous system development is heavily reliant on daily, realistic, and large scale simulations to test constant software changes
Join our cloud platform team to ensure we're building efficient and reliable systems for managing these large-scale workloads
As a cloud infrastructure engineer you'll be improving the development and deployment of our large-scale simulation infrastructure
The compute and data generation scale of our product workloads pushes the boundaries of standard cluster deployments, and you'll be at the forefront of helping build out and ensure reliability of this system
All while ensuring the deployment infrastructure is interoperable with various custom autonomy software and infrastructure used across the world
You will work closely across the entirety of the engineering team to ensure the operational success of our backend and a variety of customer deployments
At Applied Intuition, we encourage all engineers to take ownership over technical and product decisions, interact closely with users to collect feedback, and contribute to a thoughtful, dynamic team culture
Create and implement best practices for deploying and maintaining software for multiple customers across all three major cloud providers (AWS, GCP, Azure) with minimal downtime and high reliability
Monitor Applied Intuition software on deployed machines and architect solutions to any bottlenecks that are encountered
Improve developer efficiency by building internal tooling and optimizing our CI/CD systems

Our take

Autonomous vehicles present a lot of challenging problems to engineers, particularly in terms of safety and reliability, and testing and development can be infamously slow. Applied Intuition provides software to run simulations and tests for autonomous vehicles more quickly and effectively, speeding up the development and launch of AVs for multiple industries.

With big companies such as Tesla and Google focused on developing automation, Applied Intuition has the scope to provide the software that makes it a reality. The company’s suite of simulation, validation, and drive log management software aids in the more efficient deployment of autonomous vehicles, with companies such as Toyota, Honda, Nissan, and General Motors relying on its solutions.

As the autonomous vehicles market accelerates, Applied Intuition is well set for growth, especially as it continues to expand its capabilities. Notable developments include the acquisitions of CarSim, Scenebox and Embark Trucks, as well as partnerships with AMBA and Valeo. All these efforts seek to bolster the company's offering towards supporting the faster and safer deployment of AVs. A $600 million Series F round, awarded in 2025, will go towards its next phase of product development, alongside key hires across its product team.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

68% employee growth in 12 months

Glassdoor (3.3)

Company

Funding (last 2 of 6 rounds)

Jun 2025

$600m

SERIES F

Mar 2024

$250m

SERIES E

Total funding: $1.2bn

Company HQ

Sunnyvale West, Sunnyvale, CA

Leadership

Peter Ludwig

(Co-Founder & CTO)

Prior to co-founding Applied Intuition in 2017, Peter was a Product Manager at Google for 5 years.

Qasar Younis

(Co-Founder & CEO)

Qasar previously founded TalkBin where they served as the CEO. They also served as the COO at Y Combinator and as a Group Product Manager of Google Maps at Google.

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