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Full-Time

Security Engineer

Confirmed live in the last 24 hours

Intrinsic

Intrinsic

201-500 employees

Software solutions for industrial robotics accessibility

Robotics & Automation
Industrial & Manufacturing
AI & Machine Learning

Compensation Overview

$136k - $208.8kAnnually

+ Bonus + Equity + Benefits

Junior

Mountain View, CA, USA

Category
Cybersecurity
IT & Security
Required Skills
Kubernetes
Python
Go
Linux/Unix
Google Cloud Platform
Requirements
  • 4 year degree in Computer Science/Computer Engineering/Information Assurance/Cybersecurity or equivalent degree
  • 2 years experience working as part of a security team (application security, infrastructure security, D&R etc)
  • Proficient in conducting secure design reviews and prioritizing identified issues
  • Hands on experience with deploying and optimizing security scanners, triaging results and remediate findings
  • Familiarity with C++, Python, Golang, CI/CD, Kubernetes and GCP
  • Ability to work with multiple stakeholders from across the organization to implement security controls
  • Understanding of security concepts across multiple domains to make decisions that help reduce overall security risk for Intrinsic.
Responsibilities
  • Perform security assessment and secure design reviews to ensure security of Intrinsic products
  • Implement a SSDLC (secure software development lifecycle) by implementing tooling and secure policies
  • Triage, prioritize and help remediate misconfigurations and vulnerabilities
  • Help secure and harden infrastructure (GCP, K8s, Linux systems)
  • Monitor and respond to security incidents.
  • Be an enabler for the organization to be successful with security as a foundation.

Intrinsic.ai develops software that simplifies the programming and operation of industrial robots, making them more accessible to a wider range of businesses, including small and medium-sized enterprises (SMEs). Their software leverages advancements in artificial intelligence and simulation to allow robots to perform various tasks with less complex programming. This means that companies can easily adapt their robotic systems to new tasks without the high costs and time associated with traditional programming methods. Unlike many competitors, Intrinsic.ai focuses on enhancing existing robotic systems rather than creating new hardware, which allows clients to integrate advanced robotics into their operations more efficiently. The goal of Intrinsic.ai is to democratize the use of robotics, enabling more businesses to innovate and improve productivity through intelligent automation.

Company Stage

N/A

Total Funding

N/A

Headquarters

Rio de Janeiro, Brazil

Founded

2021

Growth & Insights
Headcount

6 month growth

5%

1 year growth

12%

2 year growth

18%
Simplify Jobs

Simplify's Take

What believers are saying

  • Intrinsic.ai's partnership with NVIDIA positions it at the forefront of advancements in robotic grasping and industrial scalability.
  • The integration of open-source platforms like ROS 2 Jazzy Jalisco with Intrinsic's software enhances interoperability and broadens its appeal to developers.
  • Intrinsic.ai's focus on making robotics more accessible can drive significant innovation and productivity gains across various industries.

What critics are saying

  • The competitive landscape in robotics and AI is intense, with major players like NVIDIA and Alphabet's other ventures potentially overshadowing Intrinsic.ai.
  • The success of Intrinsic.ai's mission to democratize robotics depends heavily on widespread adoption, which may be challenging without a cultural shift in the industry.

What makes Intrinsic unique

  • Intrinsic.ai leverages advanced AI and simulation to simplify the programming of industrial robots, making them more accessible and user-friendly compared to traditional robotics solutions.
  • The company's focus on software-driven systems and industry-agnostic technologies allows it to cater to a broader range of applications beyond traditional manufacturing.
  • Intrinsic.ai's strategic collaborations with industry leaders like NVIDIA enhance its capabilities in autonomous robotic manipulation, setting it apart from competitors.