Senior Software Engineer, Blue River Technology

• The ideal candidate is an experienced platform builder and data wrangler who enjoys optimizing data and ML systems and building them from the ground up
• The Engineer should be comfortable with the MLOps approach and related technologies and be able to design and implement software applications, APIs, and data pipelines
• They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products
• The right candidate will be excited by the prospect of optimizing or even redesigning our company’s data and ML platform to support our next generation of products and data initiatives
• We would be interested in hearing from you if you are a driven Software Engineer with a solid background in data/ML and a desire to develop effective and scalable data solutions
• 5+ years of experience building data platforms/data backends
• 5+ years experience developing software applications and tooling
• Strong programming skills in Python. C++ knowledge will be a huge plus
• Experience building and optimizing ‘big data’ data pipelines using Spark, architectures, and data sets
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Familiar with best practices in building CVML pipelines
• Strong analytical skills related to working with unstructured datasets
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
• Experience supporting and working with cross-functional teams in a dynamic environment
• They should have experience using the following software/tools:
• Experience with AWS cloud services: EC2, Lambda, Kinesis, RDS
• Experience with big data tools: DataBricks, Spark, Kafka
• Experience with relational SQL and NoSQL databases
• Experience with data pipeline and workflow orchestration tooling such as Airflow
• Has experience with distributed computing, preferably Spark
• Knows how to use git and/or other versioning systems
• Strong problem-solving skills and ability to troubleshoot complex data-related issues
• Excellent communication skills to collaborate effectively with technical and non-technical stakeholders
• Attention to detail and commitment to producing high-quality, well-documented code
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes) is a plus

Desirable

• We are looking for a Sr Software Engineer to join our Data/CVML platform team at Blue River
• You will play a key role in building the foundational platform for developing our next generation of autonomy and automation products at BRT
• This role puts you at the intersection of robotics, Computer Vision, and Machine Learning, where you'll bridge the gap between our physical robots and the power of data science
• You'll be building the software, data pipelines, and APIs that empower our product teams to create innovative Computer Vision and Machine Learning applications using data from our robots
• This includes everything from data acquisition and processing to model training and deployment, with a specific focus on creating scalable and efficient solutions for the entire organization
• You will work closely with both robotics engineers, ML Engineers, and data scientists to ensure our robots are learning and improving continuously
• The Engineer will support our software developers, data analysts, data scientists, robotics, and ML Engineers on data/ML initiatives
• Design and develop software systems for collecting, processing, and analyzing data from robots and IoT devices
• Develop and maintain APIs and SDKs that allow product teams to seamlessly integrate robotics data into their CVML workflows
• Build tools and applications that facilitate the development, deployment, and monitoring of CVML models for robotics applications
• Collaborate with robotics and ML engineers to define data requirements for ML model training and validation
• Develop and implement data pipelines for efficient data flow between robots and ML models
• Translate ML requirements into actionable insights for robotics engineers to improve robot design and performance
• Work with data scientists to optimize model performance and ensure data quality
• Stay up-to-date with the latest advancements in robotics, IoT, and ML
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
• Work with stakeholders, including Product Managers and CVML engineers/data scientists
• Collaboration: Work closely with cross-functional teams, including data scientists, analysts, software engineers, and product managers, to understand data requirements and deliver data solutions that align with business goals
• Documentation: Create and maintain technical documentation, including data flow diagrams, architecture designs, and standard operating procedures
• Technology Evaluation: Stay up-to-date with industry trends and emerging technologies related to data engineering, recommending and implementing new tools and frameworks as appropriate