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Tesla Inc
Palo Alto, CA, United States
**Senior Software Engineer, Deep Learning - Autopilot AI** ????Engineering & Information Technology????Palo Alto, California?? ID111813???? **The Role** As a member of the Autopilot AI team you will design, implement, and optimize deep learning dataset generation, training, and evaluation tools and infrastructure to advance the state of the art in
Job Source: Tesla IncTesla Inc
Palo 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 con
Job Source: Tesla IncTesla
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: TeslaNVIDIA
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: NVIDIANVIDIA Corporation
Santa Clara, CA, United States
Senior Deep Learning Systems Software Engineer - AI Infrastructure page is loaded Senior Deep Learning Systems Software Engineer - AI Infrastructure Apply locations US, CA, Santa Clara US, Remote time type Full time posted on Posted 2 Days Ago job requisition id JR1980485 NVIDIA is an industry
Job Source: NVIDIA CorporationCocodelivery
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: CocodeliveryTesla Inc
Palo Alto, CA, United States
**Backend Software Engineer, Autopilot Infrastructure (IB)** ????Engineering & Information Technology????Palo Alto, California?? ID106229???? **The Role** As a member of the Autopilot Infrastructure team, you will design and implement a diverse set of backend services and tools that power Autopilot software and processes. The systems you build will
Job Source: Tesla IncByteDance
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: ByteDancePalo 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 capabilities, there are different neural networks that the Deep Learning team is designing to train large amounts of data. Robustly training jobs at scale, should it be for production models or quick experiments, and completing them in the shortest amount of time possible, is critical to our mission.
**Responsibilities:**
Write robust Python software code in our machine learning training repository while applying best software practices to support machine learning scientists in tasks such as fetching training data, preprocessing it, and orchestrating the training runs.
Integrate the training software into our continuous integration cluster to support metrics persistence across experiments, weekly/nightly neural network builds, and other unit / throughput tests.
Profile performance of training software in our training cluster, identify bottlenecks in and between CPU/GPU code execution, and work on optimizing its throughput and scalability within and across nodes to ultimately reduce convergence time.
Coordinate with the team managing the hardware cluster to maintain high availability / jobs throughput for Machine Learning.
**Requirements:**
Experience programming in Python and/or C/C++.
Proficient in system-level software, in particular hardware-software interactions and resource utilization.
Understanding of modern machine learning concepts and state of the art deep learning.
Experience working with training frameworks, ideally PyTorch.
Demonstrated experience scaling neural network training jobs across clusters of GPUs.
Optional: Experience programming in Cuda.
Optional: Profiling and optimizing CPU-GPU interactions (pipelining compute/transfers, etc).
Optional: Devops experience, in particular dealing with clusters of training nodes, and filesystems for very large amount of training data.
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Tesla ?????????????????????????????????????????????????????????????????????????????????????????????????????????????????
**Software Engineer, Deep Learning Infrastructure - Autopilot**
???? Engineering & Information Technology ???? Palo Alto, California ?? ID 104044 ???? 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 capabilities, there are different neural networks that the Deep Learning team is designing to train large amounts of data. Robustly training jobs at scale, should it be for production models or quick experiments, and completing them in the shortest amount of time possible, is critical to our mission.
**Responsibilities:**
Write robust Python software code in our machine learning training repository while applying best software practices to support machine learning scientists in tasks such as fetching training data, preprocessing it, and orchestrating the training runs.
Integrate the training software into our continuous integration cluster to support metrics persistence across experiments, weekly/nightly neural network builds, and other unit / throughput tests.
Profile performance of training software in our training cluster, identify bottlenecks in and between CPU/GPU code execution, and work on optimizing its throughput and scalability within and across nodes to ultimately reduce convergence time.
Coordinate with the team managing the hardware cluster to maintain high availability / jobs throughput for Machine Learning.
**Requirements:**
Experience programming in Python and/or C/C++.
Proficient in system-level software, in particular hardware-software interactions and resource utilization.
Understanding of modern machine learning concepts and state of the art deep learning.
Experience working with training frameworks, ideally PyTorch.
Demonstrated experience scaling neural network training jobs across clusters of GPUs.
Optional: Experience programming in Cuda.
Optional: Profiling and optimizing CPU-GPU interactions (pipelining compute/transfers, etc).
Optional: Devops experience, in particular dealing with clusters of training nodes, and filesystems for very large amount of training data.
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Email Alert for Software Engineer, Deep Learning Infrastructure - Autopilot jobs in Palo Alto, CA, United States
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
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Get ready to discover your next great opportunity.