Staff Software Engineer, Perception Frameworks, Autonomy

at  Rivian

About Rivian:
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 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.
Role Summary:
We are seeking an experienced Staff Deep Learning Software Engineer to join our team at Rivian. As a member of the Deep Learning team, you will be responsible for building scalable deep learning data and model training pipelines, developing efficient frameworks for various aspects of the DL model lifecycle, and collaborating with infrastructure teams to support rapid benchmarking and optimization of our data and modeling pipelines.

Responsibilities:

• Design and deploy large-scale systems for supervised and unsupervised model training paradigms
• Develop highly scalable and efficient frameworks for different aspects of DL model lifecycle
• Understand and address shortcomings in existing MLOPs processes and contribute to multiple production data and ML pipelines
• Collaborate with infrastructure teams to develop tooling and interfaces for rapid benchmarking, analysis, and optimization of model training and serving workflows
• Work closely with cross-functional teams to integrate DL models into larger systems

Qualifications:

• MS or Ph.D. in Electrical, Mechanical, Aerospace Engineering, Computer Science, or a related field
• 5+ years of experience in training and deploying deep learning models for Computer Vision problems like object detection and segmentation
• Strong Python programming background and working knowledge of at least one modern DL framework (PyTorch, TensorFlow, Caffe2, or MXNet)
• Experience with containerization and job management using Kubernetes
• Research and development experience in large-scale distributed training pipelines, automating complex MLOPs pipelines, or related areas
• Excellent communication skills and ability to work in a fast-paced development environment
• Hands-on experience with PySpark, Petastorm, and Parquet is highly desirable

Preferred Qualifications:

• Experience developing and deploying ML pipelines using GCP, Azure ML, or AWS SageMaker
• Prior experience following industry-standard MLOps and DevOps principles in an automotive/ADAS setting
• Experience using DL frameworks like PyTorch Lightning or dl-catalyst

Pay Disclosure:
Salary Range for California Based Applicants: $228,000.00 - $285,000.00 (actual compensation will be determined based on experience, location, and other factors permitted by law).
Benefits Summary: Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums.
Company Statements:

• Design and deploy large-scale systems for supervised and unsupervised model training paradigms
• Develop highly scalable and efficient frameworks for different aspects of DL model lifecycle
• Understand and address shortcomings in existing MLOPs processes and contribute to multiple production data and ML pipelines
• Collaborate with infrastructure teams to develop tooling and interfaces for rapid benchmarking, analysis, and optimization of model training and serving workflows
• Work closely with cross-functional teams to integrate DL models into larger system