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Applied Research Engineer, Project Spectre

Posted date: Apr 16, 2021

Location: Santa Clara, CA, US

Company: Ericsson

Applied Research Engineer

Location: Santa Clara, CA

 

Our Exciting Opportunity

As the tech firm that created the mobile world, and with more than 54,000 patents to our name, we’ve made it our business to make a mark. When joining our team at Ericsson you are empowered to learn, lead and perform at your best, shaping the future of technology. This is a place where you're welcomed as your own perfectly unique self, and celebrated for the skills, talent, and perspective you bring to the team. Are you in? Come, and be where it begins.

 

Ericsson One, an internal venture studio that brings ground-breaking ideas and new products to market is now looking for a Applied Research Engineer to help build the 3D future of human connection. 

Our team is built to innovate, adapt quickly, and craft the future for Ericsson. In other words, we have the best of both worlds: the energy of a startup and the impact of a global leader. 

 

Project Spectre has recently been awarded Ericsson’s 2020 Top Performance Award for Innovation and is now coming out of stealth. Spectre plans to use Ericsson’s worldwide scale to launch a ground-breaking product that sits at the intersection of deep learning, computer vision, computer graphics and XR (VR/AR). 

 We are looking for people who have a start-up mentality; people who are creative, passionate, inventive, and capable of helping us launch this innovative business globally. Our vision is to enable a new generation of genuine, connected experiences through the democratization of digital humans. Join us for the adventure of a lifetime. 

 

You will

  • Work closely with research scientists to implement novel deep generative modeling, deep audio and language modeling, deep and traditional computer vision algorithms pushing the boundaries of digital human technologies 
  • Work closely with product teams to optimize and transfer technology for real-time application in resource-constrained settings 
  • Collaborate with researchers and engineers from other domains on the digital human platform team (e.g. 3D graphics, cloud infrastructure) to develop and deploy end-to-end systems democratizing digital humans at world scale  

 

To be successful in the role you must have

  • 3+ years of hands-on experience implementing machine learning and deep learning algorithms and systems 
  • Experience collaborating with research teams to drive cutting-edge research from prototype to production 
  • Extensive knowledge of neural networks 
  • Extensive experience carrying out large-scale neural architecture and hyperparameter searches, particularly with a system like Ray 
  • Experience with deep learning frameworks, such as PyTorch 
  • Comfortable operating with on-prem or custom machine learning infrastructure 
  • Experience deploying machine learning systems at scale to the public cloud 
  • Experience optimizing GPU-based machine learning for real-time applications and resource-constrained devices 
  • Experience with Python 
  • Experience developing and deploying real-time software in C++ 
  • Experience with CUDA 
  • M.S. in relevant technical field 

 

Additional Qualifications

  • Experience with nonlinear optimization 
  • Experience with the 3D graphics pipeline 

What´s in it for you?

Here at Ericsson, our culture is built on over a century of courageous decisions. With us, you will no longer be dreaming of what the future holds – you will be redefining it. You won’t develop for the status-quo, but will build what replaces it. Joining us is a way to move your career in any direction you want; with hundreds of career opportunities in locations all over the world, in a place where co-creation and collaboration are embedded into the walls. You will find yourself in a speak-up environment where empathy and humanness serve as cornerstones for how we work, and where work-life balance is a priority. Welcome to an inclusive, global company where your opportunity to make an impact is endless.

 

What happens once you apply?

To prepare yourself for next steps, please explore here: https://www.ericsson.com/en/careers/job-opportunities/hiring-process

 

DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and may be required to perform additional job tasks required by the manager.

We are proud to be an EEO/AA employer M/F/Disabled/Veterans. We maintain a drug-free workplace and perform pre-employment substance abuse testing.

We provide equal employment opportunities without regard to race, color, gender, sexual orientation, transgender status, gender identity, gender expression, marital status, pregnancy, parental status, religion, political opinion, nationality, ethnic background, social origin, social status, indigenous status, disability, age, union membership or employee representation and any other characteristic protected by local law or Ericsson’s Code of Business Ethics.

Ericsson will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by Ericsson or (c) consistent with Ericsson’s legal duty to furnish information. 41 CFR 60-1.35(c)

If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.dallas@ericsson.com or (866) 374-2272 for further assistance.

 

Primary country and city: United States (US)  ||  || Santa Clara  || [[mfield2]]

 


Nearest Major Market: San Jose
Nearest Secondary Market: Palo Alto

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