We are a well-funded start-up located in San Jose, California with a new energy storage technology that will allow electric vehicles to outperform internal combustion cars. We have enabled a step-change in performance with a different chemistry and cell architecture that also benefits safety.Do you want to make a major contribution to this critical part of the future energy economy? As a deep learning specialist on the metrology team, you will lead efforts to build and develop advanced methods for analyzing image and characterization data collected on our key components at high volume manufacturing scales!

Develop state-of-the-art deep learning solutions for analysis of high resolution, high velocity image data, leading to improved understanding of device performance and improved yield.

Collaborate closely with hardware and metrology teams building high-performance, automated inspection technologies, and a multi-disciplinary team of engineers and scientists developing novel materials and products.

Build deep learning pipelines that scale.

Develop and deploy edge machine learning solutions for high-throughput, automated manufacturing steps.

Develop and deploy machine learning and analytical solutions for data collected with cutting edge materials characterization equipment.

Remain up to date on advances in deep learning and machine learning methodologies and bring the most promising methods into use.

Have a track record of building and deploying deep learning solutions in a materials research or manufacturing setting.

Thrive in a dynamic, technically-challenging environment, and quickly adapt to changes.

Enjoy working as part of a collaborative, multi-disciplinary team to tackle complex challenges.

BS in Computer Science, Materials Science, Physics, Mechanical Engineering, Electrical Engineering, or related field.

At least 3 years of combined professional and academic experience applying deep learning to quantitative image analysis.

Competence with one or more deep learning frameworks (PyTorch, TensorFlow, Keras, fastai).

Fluency in one or more general programming languages, including but not limited to Python, C/C++.

Domain expertise in one or more areas related to manufacturing or physical sciences. Expertise in applying deep learning approaches for complex image segmentation and object detection.Experience applying edge-based and continuous data stream processing for near real-time inference. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive benefits and privileges of employment. Please contact us to request an accommodation.*QuantumScape does not accept unsolicited resumes from individual recruiters or third party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers.&nbsp;

Come join us on our mission as we revolutionize energy storage to enable a sustainable future.

Deep Learning Expert

We are looking for a Deep Learning Library Software Engineering Intern:

NVIDIA is hiring software engineers for its GPU-accelerated deep learning Libraries team. Academic and commercial groups are relying on GPUs to enable breakthroughs in many domains using deep learning, our deep learning libraries (such as cuDNN) is used by enterprise customers, developers and researchers to unlocks new advances in applications in visual systems, language processing, speech and many others. Join the team that is building the underlying software used across the world to power the revolution in artificial intelligence.

In this role, you will be responsible for developing enterprise software,&nbsp; by applying modern software development and design practices on CPU and GPU codes&nbsp; to implement new features and building blocks, optimize existing functionality on existing and future hardware and develop performance tuning techniques. In addition you will collaborate with members of the deep learning software engineering organization at NVIDIA to deliver world leading software with unprecedented performance in deep learning using NVIDIA GPUS.

NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking, inventive, and hardworking people working here - we need your help to build our future. Are you creative, ambitious, and love challenges? We want to hear from you!

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning

Summer 2021

Deep Learning Library Software Engineering Intern

Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you’ll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. We’re big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits.

Dolby’s Applied AI group is looking for a Deep Learning researcher to contribute to Dolby’s focus on AI and machine learning for audio. The person in this role would create and improve entertainment technologies using machine learning and collaborate with Dolby’s world-class audio and vision experts to develop state-of-the-art solutions.

Dolby will consider qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco Police Code, Article 49, and Administrative Code, Article 12

Equal Employment Opportunity:Dolby is proud to be an equal opportunity employer. Our success depends on the combined skills and talents of all our employees. We are committed to making employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, religion, marital status, family status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state, and local laws and ordinances.

Nearest Major Market:&nbsp;San FranciscoNearest Secondary Market:&nbsp;Oakland

Deep Learning Research Jobs in San JoseJanuary - 2022

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Deep Learning Expertat QuantumScape

Come join us on our mission as we revolutionize energy storage to enable a sustainable future.

Deep Learning Library Software Engineering Internat Nvidia

Summer 2021

Deep Learning Researcherat Dolby Laboratories, Inc.

Join the leader in entertainment innovation and help us design the future.