Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Optimise deep learning workloads and design large models on cutting-edge NVIDIA GPU systems.
- Company: Join Rivian, a pioneering company on a mission to keep the world adventurous and sustainable.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Make a real impact in AI while working with innovative technology in a dynamic environment.
- Qualifications: PhD or equivalent experience in CS/CE/EE, with deep knowledge of PyTorch and model training frameworks.
- Other info: Rivian values diversity and is committed to an accessible hiring process.
The predicted salary is between 36000 - 60000 £ per year.
About Us
Rivian is 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 whats 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 at candidateaccommodations@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) Rivians 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.
#J-18808-Ljbffr
Staff Software Engineer, ML Training and Inference Infrastructure employer: Rivian
Contact Detail:
Rivian Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Software Engineer, ML Training and Inference Infrastructure
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Rivian. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got projects or contributions that highlight your expertise in ML training and inference, make sure to showcase them. A portfolio can speak volumes!
✨Tip Number 3
Prepare for the interview by diving deep into Rivian's mission and values. Understand how your passion for the outdoors aligns with their goals. It’s all about connecting your story with theirs!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Staff Software Engineer, ML Training and Inference Infrastructure
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for the role and our mission shine through. We love candidates who are excited about what we do and can connect their skills to our adventurous spirit.
Tailor Your CV: Make sure your CV is tailored to highlight your experience with deep learning and model training. We want to see how your background aligns with the responsibilities of optimising performance on NVIDIA GPU systems and working with large datasets.
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re a great fit for the Staff Software Engineer role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the position. Plus, it helps us keep everything organised on our end.
How to prepare for a job interview at Rivian
✨Know Your Tech Inside Out
Make sure you’re well-versed in PyTorch and any model training frameworks like PyTorch Lightning or Ray. Brush up on transformer architectures and be ready to discuss how you’ve optimised deep learning workloads in the past.
✨Showcase Your Problem-Solving Skills
Rivian loves innovative thinkers! Prepare examples of how you've tackled complex problems, especially in optimising model training and inference speeds. Be ready to dive into the detective work behind your solutions.
✨Demonstrate Your Passion for the Outdoors
Since Rivian is all about adventure and protecting the environment, share your personal connection to the outdoors. Talk about how your values align with their mission and how you can contribute to their vision.
✨Prepare Questions That Matter
Think of insightful questions that show your interest in Rivian’s projects and culture. Ask about their approach to large-scale distributed training or how they envision the future of ML in their vehicles. This shows you’re not just interested in the job, but in the company as a whole.
