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

Education Requirements:

• Bachelor’s degree in artificial intelligence, math, statistics, physics, economics, computer science, or equivalent in related technical experience

Experience Requirements:

• Current knowledge of deep learning concepts (e.g. transformer models, data parallelism, model parallelism)

• Coding proficiency in at least one modern deep learning framework such as PyTorch or Tensorflow

• Hands-on programming experience with Python

• Experience with hardware accelerators (e.g. GPU) is a plus

• Experience in optimizing deep learning training and inference is a plus

Responsibilities:

• Learn new domains and problems

• Experiment with models and data

• Collaborate with other experts

• Develop reference and production implementation of models and pipelines

• Present at weekly demos and various sessions Support production engineering teams and develop automated tests Build things

Experience Requirements:

• Hands on experience with Azure cloud implementation and deployments

• Hands on experience with at least one programming language such as Python, C#, or Java

• Experience with modern CI/CD tools such as GitLab, Jenkins or Azure DevOps

• Azure Administrator, Azure Solutions Architect, Azure Developer, or Azure DevOps Engineer Certification is a big plus

Responsibilities:

• Implement and modernize cloud applications and technical solutions using the combination of Azure IaaS, PaaS, serverless services, or microservices patterns

• Design, develop, test, and debug Azure cloud solution components

• Build and manage container apps using products like AKS, Kubernetes, and Docker

• Develop automation for deployment, management, and administration processes

• Design, develop and implement data collection, transformation, and data integration solution for analytics Present at weekly demos and various sessions Build things

Education Requirements:

• Bachelor’s degree in computer science or equivalent in related technical experience

Experience Requirements:

• Hands on experience in building large-scale data architecture systems

• Hands on experience managing people and distributed teams

• Excellent programming with Python or C#

• Abundant knowledge on large scale distributed systems

• Experience with a modern deep learning framework such as PyTorch or Tensorflow is a plus

Responsibilities:

• Provide technical leadership and direction for software engineer and AI engineer teams

• Design and build modern enterprise data architectures and data abstraction service layers

• Design and build cloud applications with high security, high transaction rate and high availability

• Design and build test harnesses to evaluate product progress and accuracy

• Work with customers to clarify requirements and deliver business solutions Design and build sophisticated machine learning automated test harnesses Write system specification documents such as Concept of Operations (CONOPS), system level requirements, and Interface Control Documents (ICD) for complex systems Present at weekly demos and various sessions Build things

Benefits:

• Full Health

• Dental

• Vision

• 401K matching

Experience Requirements:

• Experience with Linux systems

Other Requirements:

• Well-presented and personable with excellent communication skills

• Close proximity to our office in Lake Oswego, Oregon

• Handy with basic hand tools

• In a position to travel extensively across North America

• US Citizens only who can pass a full background check

Responsibilities:

• Onsite customer training

• Deliver train the trainer programs

• Provide technical support

• Kitting and customer system preparation

• Assembling industrial parts into customer kits