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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 As a Software Engineer in the Perception team, you will apply your strong skills in software engineering, deep learning, 3D computer vision to implement, optimize and deploy robust and reliable perception capabilities for industrial robots. You will be instrumental in developing and deploying advanced AI models for object detection, object pose estimation, 3D reconstruction, and grasping. Your work will enable robots to intelligently interact with their environment in real-world industrial settings, translating cutting-edge deep learning research into robust, deployable solutions that make industrial robotics more intelligent and accessible. How your work moves the mission forward Develop and implement robust deep learning models for 3D computer vision tasks, including object detection, object pose estimation, and 3D reconstruction. Optimize and deploy algorithms for reliable grasping and manipulation in complex industrial robotics environments. Enhance robot perception capabilities, enabling more complex and reliable interactions in dynamic manufacturing settings. Contribute to the design, implementation and documentation of core perception software skills within Intrinsic's platform. Support users in applying perception skills in production applications. Skills you will need to be successful A 4 year degree in Computer Science, Electrical Engineering, Robotics, or a closely related technical field. 1-2 years of experience in AI, machine learning, computer vision, or robotics, with a strong focus on deep learning, including transformer based models. Demonstrated experience with deploying computer vision, along with at least one of the following topics: object detection, 6dof pose estimation, or 3D reconstruction. Proficiency in at least one modern deep learning framework (e.g., PyTorch, TensorFlow, JAX). Strong programming skills in Python or C++. Skills that will differentiate your candidacy Expertise in computer vision and robotics. Experience with GPU kernel programming in CUDA. Experience with optimizing or quantizing ML models for deployment. Experience developing algorithms for robotic perception, grasping and/or manipulation. 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: candidate-support@intrinsic.ai.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
