Software Engineer, Resilience and Chaos Engineering

Intrinsic; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Intrinsic is seeking a Software Engineer in Singapore to enhance the resilience of our robotics software platform. You will design automated tests, improve stability against service interruptions, and collaborate with global teams.

Your background should include a degree in Computer Science and at least 3 years of software engineering experience. Proficiency in Go, Python, or C++ and knowledge of cloud computing are essential.

We support equality in the workplace and encourage all qualified candidates to apply.

Qualifications

• 4-year degree in Computer Science or equivalent professional experience.
• At least 3 years experience in software engineering.
• Demonstrable experience with cloud computing.
• Experience with one of Go, Python, or C++.
• Experience with comprehensive testing strategies, including testing paradigms such as fuzzing and property-based testing.

Responsibilities

• Design and execute automated resilience tests focusing on service boundaries and hybrid environments.
• Enhance the stability of tools against latency and service interruptions.
• Develop observability tools to monitor and analyze overall system health.

Skills

Software engineering

Cloud computing

Go

Python

C++

Comprehensive testing strategies

Education

4-year degree in Computer Science

Tools

Bazel

CI/CD systems

GitHub

Job description

Software Engineer, Resilience and Chaos Engineering

Intrinsic is an AI robotics group at Google aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core.

Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.

Role

In this role, you will work to improve the stability and endurance of our robotics software platform. You will contribute to systems that proactively identify potential problems within our APIs, SDKs, web interfaces, and cloud-to-edge communication layers. By simulating scenarios such as AI model inference timeouts, high network latency, data pipeline congestion, and malformed input, you will ensure the platform maintains a safe and predictable state even when the environment is not. You will be part of a specialized team in developing automated frameworks that replicate real-world disruptions, thus providing a dependable infrastructure for the developers building the next generation of AI-driven robotics. This responsibility includes developing the necessary monitoring tools to gain deep insights into overall system health. As a technical member of a distributed team, you will work directly with colleagues in Singapore and collaborate with world-class engineering teams in Mountain View and Munich to pursue resilience strategies and set global standards for software reliability.

How your work moves the mission forward

• Design and execute automated resilience tests focusing on service boundaries and hybrid environments (on-prem and Cloud).
• Enhance the stability of end user tools and frontend systems against latency and service interruptions.
• Contribute to platform-wide design guidelines to guarantee graceful degradation in the face of adverse conditions.
• Collaborate in developing observability tools to monitor and analyze holistic system health.

Skills you will need to be successful

• 4-year degree in Computer Science or equivalent professional experience.
• At least 3 years experience in software engineering.
• Demonstrable experience with cloud computing.
• Experience with one of Go, Python, or C++.
• Experience with comprehensive testing strategies, from conventional integration testing to advanced paradigms such as fuzzing and property-based testing.

Skills that will differentiate your candidacy

• Experience with systems involving physical hardware (e.g. robots, machinery, transportation, logistics).
• Experience with build (esp Bazel) and CI/CD systems (e.g. Jenkins, Travis, Circle CI, Spinnaker, Terraform).
• Experience with GitHub-based custom infrastructure and workflows (monorepo setups are a plus).

At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.

If you have a disability or special need that requires accommodation, please contact us at: [e-mail].