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Staff Software Engineer, Sensing and Perception

California, United States (On-site)

Staff Software Engineer, Sensing and Perception

1 Week ago • 8-13 Years • Artificial Intelligence

About the job

Summary_{By Outscal}

10 skills required for this role

Boost these skills to join the top 1% applicants for this job

unity

algorithms

computer-vision

deep-learning

object-detection

image-classification

data-structures

foundation

networking

cross-functional

Must have:

Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Physics, or equivalent practical experience.
8 years of experience in software development, and with data structures/algorithms
5 years of experience in software development (e.g., deep learning, perception, or computer vision).
Experience with computer vision (e.g., image classification, image processing, object detection), video generation, or signal processing in either an academic or industry setting.
Experience in machine learning frameworks leveraging deep learning models in the domain of computer vision or machine vision (e.g., object detection, semantic segmentation, depth estimation, 3D vision).

Good to have:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.

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Minimum qualifications:

Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Physics, or equivalent practical experience.
8 years of experience in software development, and with data structures/algorithms
5 years of experience in software development (e.g., deep learning, perception, or computer vision).
Experience with computer vision (e.g., image classification, image processing, object detection), video generation, or signal processing in either an academic or industry setting.
Experience in machine learning frameworks leveraging deep learning models in the domain of computer vision or machine vision (e.g., object detection, semantic segmentation, depth estimation, 3D vision).

Preferred qualifications:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

EdgeSense processes sensor data from OEM vehicles to improve coverage and freshness of map-related data and improve the user experience.

EdgeSense is building out an algorithmic foundation to enable a deeper local scene understanding based on available sensors on current vehicle platforms, which also includes perception. The local scene understanding is leveraged to understand map churn and drive automated map maintenance.

The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.

The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.

The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
Design and deploy end-to-end machine learning perception systems for resource-constrained devices.
Guide other partner teams on data acquisition and labeling efforts in a cross-functional setting.
Develop strategies to measure the real-world performance of our models.
Collaborate effectively with teams across Google and external partners.

View Full Job Description

$189.0K - $284.0K/yr (Outscal est.)

$236.5K/yr avg.

Mountain View, California, United States

About The Company

Google

2172 Active Jobs

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.