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Tesla Inc
Palo Alto, CA, United States
**Software Engineer, Deep Learning Infrastructure - Autopilot** ????Engineering & Information Technology????Palo Alto, California?? ID104044????Full-time **THE ROLE:** As a Software Engineer within Autopilot, you will work on reinforcing, optimizing, and scaling our neural network training infrastructure. At the core of our self-driving capabilitie
Job Source: Tesla IncTesla Inc
Palo Alto, CA, United States
**Senior Deep Learning Engineer/Scientist, Autopilot** ????Engineering & Information Technology????Palo Alto, California?? ID78229???? **The Role** As a member of the Autopilot AI team you will research, design, implement, optimize and deploy deep learning models that advance the state of the art in perception and control for autonomous driving. A
Job Source: Tesla IncNVIDIA
Santa Clara, CA, United States
NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the
Job Source: NVIDIAByteDance
San Jose, CA, United States
Responsibilities Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and cr
Job Source: ByteDanceNVIDIA
Santa Clara, CA, United States
NVIDIA’s Deep Learning Architecture and Libraries group is seeking excellent Software Engineers to design and develop the software stack for our next generation test and development cluster, the core infrastructure that provides a foundation for every stage of our product development. Our mission, which spans both hardware and software, is to consi
Job Source: NVIDIAMatroid
Palo Alto, CA, United States
About Matroid With the rapid growth of artificial intelligence, more and more expert knowledge is required to use cutting-edge AI techniques to solve real-world problems. At Matroid, we're building an intuitive product that allows anyone to train and deploy computer vision (CV) models without needing to know how to write a line of code. Founded i
Job Source: MatroidMatroid
Palo Alto, CA, United States
About Matroid With the rapid growth of artificial intelligence, more and more expert knowledge is required to use cutting-edge AI techniques to solve real-world problems. At Matroid, we're building an intuitive product that allows anyone to train and deploy computer vision (CV) models without needing to know how to write a line of code. Founded i
Job Source: MatroidCocodelivery
San Jose, CA, United States
**Software Engineer, Autopilot** San Jose, CA / Engineering Software / Full-time At Coco, were dedicated to perfecting the last-mile delivery experience. We strongly believe the delivery service industry in its current state is massively under-serving merchants, and we are committed to creating a frictionless, reliable, consistent, and sustainabl
Job Source: CocodeliveryPalo Alto, CA, United States
**Full Stack Deep Learning Infrastructure Engineer, Autopilot**
????Engineering & Information Technology????Palo Alto, California?? ID104041????Full-time **The Role**
As a Software Engineer within Autopilot, you will work on reinforcing, optimizing and scaling our neural network training infrastructure.
The core of our self-driving capabilities consists of different neural networks that require training with large amounts of data. Robustly training jobs at scale and completing them in the shortest amount of time possible is critical to our mission.
We are building out the machine learning platform that our team uses to schedule, track, and monitor their jobs, datasets and artifacts.
**Responsibilities**
* Connect our machine learning code to databases, and these databases to the frontend. Our machine learning engineers and leadership use this stack to schedule, launch, monitor, track and debug experiments, jobs and models.
* Work on the platform of tools and infrastructure of whatever the machine learning team needs to be effective. This spans the scope from the machine learning code in Python to back-end and front-end work in JavaScript.
* Coordinate required hardware resources with the team managing the cluster hardware to maintain high availability.
* Work with the Machine Learning team directly to understand requirements and priorities.
**Requirements**
* BS/MS in Computer Science or the equivalent in experience with evidence of exceptional ability.
* Strong understanding of JavaScript (ES6+), Python, and Linux.
* Experience building modern web applications using React/Redux or similar component based libraries.
* UI and graphic design sensibilities.
* Interest in machine learning, computer vision or neural networks.
****Extra but not required****
* Experience working with large computer clusters.
* Knowledge of machine learning, computer vision, or neural networks is a plus.
**?????**
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Tesla ?????????????????????????????????????????????????????????????????????
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Tesla ?????????????????????????????????????????????????????????????????????????????????????????????????????????????????
**Full Stack Deep Learning Infrastructure Engineer, Autopilot**
???? Engineering & Information Technology ???? Palo Alto, California ?? ID 104041 ???? Full-time **The Role**
As a Software Engineer within Autopilot, you will work on reinforcing, optimizing and scaling our neural network training infrastructure.
The core of our self-driving capabilities consists of different neural networks that require training with large amounts of data. Robustly training jobs at scale and completing them in the shortest amount of time possible is critical to our mission.
We are building out the machine learning platform that our team uses to schedule, track, and monitor their jobs, datasets and artifacts.
**Responsibilities**
* Connect our machine learning code to databases, and these databases to the frontend. Our machine learning engineers and leadership use this stack to schedule, launch, monitor, track and debug experiments, jobs and models.
* Work on the platform of tools and infrastructure of whatever the machine learning team needs to be effective. This spans the scope from the machine learning code in Python to back-end and front-end work in JavaScript.
* Coordinate required hardware resources with the team managing the cluster hardware to maintain high availability.
* Work with the Machine Learning team directly to understand requirements and priorities.
**Requirements**
* BS/MS in Computer Science or the equivalent in experience with evidence of exceptional ability.
* Strong understanding of JavaScript (ES6+), Python, and Linux.
* Experience building modern web applications using React/Redux or similar component based libraries.
* UI and graphic design sensibilities.
* Interest in machine learning, computer vision or neural networks.
****Extra but not required****
* Experience working with large computer clusters.
* Knowledge of machine learning, computer vision, or neural networks is a plus.
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Email Alert for Full Stack Deep Learning Infrastructure Engineer, Autopilot jobs in Palo Alto, CA, United States
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Please refresh the page and try again.
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Get ready to discover your next great opportunity.