Easo 2.0

Benefits:

• Significant stock options

• Health and dental insurance included

• 401(k) retirement plan included

Experience Requirements:

• 5 years

Other Requirements:

• Expert knowledge of using and configuring GCP (Vertex), AWS, Azure

• Python: 5+ years of experience

• Machine Learning libraries: Pytorch, Jax, model and data parallelism

• Development tools: Bash, Git

• Data Science frameworks: Databricks

• Agile Software development

• Cloud Management: Slurm, Kubernetes

• Data Logging: Weights and Biases

• Orchestration, Autoscaling: Ray, ClearnML, WandB etc

Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes to extract, transform, and load data at large scale (in the order of 100sTB)

• Setting up and maintaining cloud-database (e.g. DynamoDB, Postgres etc.)

• Manage containerized environments (e.g., Docker, Kubernetes) for running machine learning workloads.

• Setting up and Maintaining Cloud multi-GPU training infrastructure (GCP, AWS, Azure) with Pytorch and Jax, (both model and data parallelism)

• Setting up and Maintaining MLOps frameworks, e.g. ClearML, ZenML etc. Implement CI/CD pipelines and automation tools to streamline the model development and deployment process. Deploying ML Models on the cloud for low-latency production/serving

Benefits:

• $170-185k/year

• Significant stock options

• Health and dental insurance included

• 401(k) retirement plan included

Experience Requirements:

• 4-5 years

Other Requirements:

• Extensive C++ (>5 years) and python (>5 years) software engineering experience

• Extensive experience writing and debugging of ROS/ROS2, writing Rviz plugins

• Experience with CUDA and TensorRT

• Experience deriving robot arm and mobile base kinematics and inverse kinematics

• Understanding of motion planning algorithms for arm motion planning and robot navigation

• Expert-level understanding of 3D geometry, transformations, rotations, quaternions etc.

• Experience with Cloud Infrastructure (Google Cloud Platform, AWS, cloud databases, etc.)

• >3 years experience architecting and writing complex production quality software

• Git

• Agile Software development

Responsibilities:

• Develop controllers, motion planning algorithms, and teleoperation infrastructure for robot arms and mobile bases

• Optimize performance and run-time of robotics- and computer vision algorithms

• Set up data processing pipelines and cloud database for storing robot logs