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Executive Google Robotics Engineer Jobs (NOW HIRING)

Judit Inc

Robotics/UAS Project Engineer

Wilmington, MA · On-site

S. in Robotics, Mechatronics, Aerospace Engineering, or related field; 18+ years of experience in ... executive stakeholders, customers, and engineering teams. * Possesses or has ability to obtain a ...

Textron

Robotics/UAS Project Engineer

Wilmington, MA · On-site

S. in Robotics, Mechatronics, Aerospace Engineering, or related field; 18+ years of experience in ... executive stakeholders, customers, and engineering teams. * Possesses or has ability to obtain a ...

Textron

Robotics/UAS Project Engineer

Wilmington, MA

S. in Robotics, Mechatronics, Aerospace Engineering, or related field; 18 years of experience in ... executive stakeholders, customers, and engineering teams. * Possesses or has ability to obtain a ...

Textron

Robotics/UAS Project Engineer

Wilmington, MA · On-site

S. in Robotics, Mechatronics, Aerospace Engineering, or related field; 18 years of experience in ... executive stakeholders, customers, and engineering teams. * Possesses or has ability to obtain a ...

ICON

Robotics Framework Engineer II

Austin, TX · On-site

ICON is looking for a Robotics Framework Engineer II to join our Software team in Austin, TX. This ... Executive Order 11246, Section 503 of the Rehabilitation Act of 1973 (as amended) and the Vietnam ...

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Executive Google Robotics Engineer information

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How much do executive google robotics engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for executive google robotics engineer in the United States is $105,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $127,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Executive Google Robotics Engineer?

To thrive as an Executive Google Robotics Engineer, you need advanced expertise in robotics engineering, computer science, and leadership, typically backed by a relevant graduate degree and significant industry experience. Mastery of robotics software platforms (like ROS), AI/ML frameworks, programming languages (Python, C++), and experience with cloud-based systems are essential, along with certifications in robotics or project management. Exceptional strategic thinking, communication, and cross-functional collaboration skills distinguish top performers in this leadership role. These combined abilities are crucial for driving innovation, leading large engineering teams, and delivering scalable robotics solutions at the enterprise level.

What is the difference between Executive Google Robotics Engineer vs Robotics Software Engineer?

AspectExecutive Google Robotics EngineerRobotics Software Engineer
CredentialsBachelor's/Master's in Robotics, Computer Science, or related fields; extensive experienceBachelor's/Master's in Computer Science, Robotics, or related fields; some experience
Work EnvironmentLeadership roles, strategic planning, cross-department collaborationDevelopment, coding, testing robotics software
Employer & Industry UsageGoogle, tech innovation, robotics projectsTech companies, robotics startups, research labs
Search & Comparison IntentHigh-level roles, leadership, strategyTechnical development, coding, software design

The Executive Google Robotics Engineer typically holds leadership responsibilities, focusing on strategic planning and overseeing robotics projects at Google. In contrast, a Robotics Software Engineer concentrates on developing and coding robotics software. Both roles require strong technical credentials, but the executive position emphasizes management and vision, while the software engineer role is more hands-on technical work.

What are some common challenges faced by an Executive Google Robotics Engineer in leading multidisciplinary teams?

As an Executive Google Robotics Engineer, you will often manage teams with diverse backgrounds, including mechanical, electrical, and software engineers. One common challenge is ensuring clear communication and alignment across specialties to keep projects on track and meet technical goals. Balancing strategic planning with hands-on problem-solving, while fostering innovation and collaboration, is also critical. Navigating shifting priorities and integrating feedback from various stakeholders can require strong leadership and adaptability.

What is an Executive Google Robotics Engineer?

Executive Google Robotics Engineers are senior-level professionals at Google who lead teams in the development, deployment, and management of advanced robotics systems. They combine technical expertise in robotics, artificial intelligence, and machine learning with leadership skills to drive innovation and oversee large-scale projects. These executives collaborate with cross-functional teams, set strategic direction, and ensure that robotics initiatives align with Google's overall goals. Their work shapes the future of robotics technology at Google and often involves research, design, and implementation of cutting-edge solutions.
What cities are hiring for Executive Google Robotics Engineer jobs? Cities with the most Executive Google Robotics Engineer job openings:
What are the most commonly searched types of Google Robotics Engineer jobs? The most popular types of Google Robotics Engineer jobs are:
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Executive Google Robotics Engineer jobs near you

Research Robotics/Computer Vision Engineer

Skild AI

San Mateo, CA • On-site

Full-time

Re-posted 7 days ago

Job description

Position Overview

Skild AI, Inc. seeks a Research Robotics/Computer Vision Engineer in San Mateo, CA responsible for developing perceptive, intelligent, and adaptable robotic systems capable of learning and performing tasks with a focus on 3D computer vision and autonomous navigation. This includes designing perception pipelines, optimizing SLAM systems, and creating learning-based algorithms for robust robotic control in real-world environments. Specific duties include: (i) implementing perception on robots to enable safe exploration and navigation in real world environments in collaboration with the locomotion team; (ii) reconstructing an entire scene in 3D using monocular images, estimating camera poses, optimizing and streamlining 3D SLAM; (iii) developing a set of software tools for localization of a robot using only visual inputs; (iv) building robust software to enable life-long mapping on a robot via optimally merged pose-graphs; (v) visual servoing wrt objects detected/ tracked to control robot motion; (vi) researching novel techniques to detect and cater to glare during robotic mapping and navigation; (vii) building infrastructure and pipeline and collecting data to enable streaming of hand movements for training robot manipulation tasks such as pick and place; and (viii) maintaining a camera and 2D lidar based navigation stack, including fixing bugs, adding new customer feature requests, and ensuring successful deployments.

Responsibilities
  • (i) implementing perception on robots to enable safe exploration and navigation in real world environments in collaboration with the locomotion team
  • (ii) reconstructing an entire scene in 3D using monocular images, estimating camera poses, optimizing and streamlining 3D SLAM
  • (iii) developing a set of software tools for localization of a robot using only visual inputs
  • (iv) building robust software to enable life-long mapping on a robot via optimally merged pose-graphs
  • (v) visual servoing wrt objects detected/ tracked to control robot motion
  • (vi) researching novel techniques to detect and cater to glare during robotic mapping and navigation
  • (vii) building infrastructure and pipeline and collecting data to enable streaming of hand movements for training robot manipulation tasks such as pick and place
  • (viii) maintaining a camera and 2D lidar based navigation stack, including fixing bugs, adding new customer feature requests, and ensuring successful deployments.
Minimum Requirements
  • Must have a master's degree (or foreign equivalent) in Computer Vision, Robotics, or a directly related discipline and one (1) year of experience in Machine Learning or Data Science.
  • Must have any experience with or knowledge of each of the following: (i) reconstructing 3D scenes using monocular videos, meshes, pointclouds, Neural Radiance Fields, and Gaussian Splats; (ii) reconstructing rigid and articulated hand-held objects from videos, including inferring the time-varying hand configurations and relative poses of the objects; (iii) using generative computer vision, including diffusion models to guide reconstruction, or addressing occlusion and limited viewpoint variations in videos via data driven priors; (iv) optimizing attention-based models for perception used in autonomous navigation systems; (v) using Neural Architectural Search (NAS) to find better perception backbone architectures with higher accuracies and lower latencies; and (vi) cloud-based training in AWS, Google cloud, or Vetex AI and optimized data loading for cloud based distributed training for deep learning workloads (e.g. Pytorch dataloader, or sharding) with hardware-in-loop.
  • Experience can be concurrent.

Apply online at skild.ai/career.

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