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Staff Software Engineer, ML Training and Inference Infrastructure

Rivian Automotive

London

On-site

GBP 70,000 - 90,000

Full time

6 days ago
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Job summary

A leading company in electric vehicles seeks a Deep Learning Engineer to optimize and deploy AI models. The successful candidate will leverage their PhD expertise to tackle complex challenges in performance optimization and distributed training within state-of-the-art infrastructure. This position offers the opportunity to engage in innovative projects that shape the future of emissions-free transport.

Qualifications

  • PhD or equivalent experience required.
  • Deep knowledge of PyTorch and large-scale training frameworks.
  • Experience improving model performance through profiling.

Responsibilities

  • Optimize performance of deep learning training workload on NVIDIA GPU systems.
  • Design, train, and deploy large deep learning models leveraging vast data.
  • Optimize latency of model inference on onboard systems.

Skills

Deep knowledge of PyTorch
Knowledge of model training framework
In-depth knowledge of transformer architecture
Experience of performing large scale distributed training
Profiling models

Education

PhD in CS/CE/EE or equivalent in industry

Job description

About Us

Rivianis on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.

As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.

Responsibilities
  • Optimize the performance of Deep Learning training workload on NVIDIA GPU systems on a large scale
  • Optimize the latency of model inference and model pre- and post-processing on onboard systems
  • Design, train, and deploy large deep learning models that can leverage the vast amount of labeled and unlabeled data
Qualifications
  • PhD in CS/CE/EE, or equivalent, in industry experience
  • Deep knowledge of PyTorch
  • Knowledge of model training framework (e.g. PyTorch Lightning, ray, etc.)
  • In-depth knowledge of transformer architecture and ways to accelerate the training and inference of transformer models
  • Experience of performing large scale distributed training of models
  • A track record of profiling models and doing detective work to improve model training and inference speed
Company Statements
Equal Opportunity

Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.

Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us atcandidateaccommodations@rivian.com.

Candidate Data Privacy

Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.

Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services.

Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.

Please note that we are currently not accepting applications from third party application services.

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