Data Engineer/Machine Learning Infrastructure Engineer - NREC-2011503
The National Robotics Engineering Center (NREC) at Carnegie Mellon University is looking for data scientists to develop tools to support machine learning and data-intensive applications. We are people with a desire to make robust software using agile development processes. You will work on a variety of software for commercial and government organizations. You will bring together open-source, commercial, internal, and your own tools to support diverse data processing workflows. Some of our machine learning software keeps self-driving vehicles safe, automatically discovers new pharmaceuticals, and leads to less waste in agriculture. You will support programs in deep learning for agriculture, artificial intelligence for defense, and autonomous manipulation.
You will have an impact in shaping the robotics revolution , collaborate with and learn from experts, and build your career in a very fast-growing field . As part of our team, you will develop solutions to solve industrial and government challenges, deploy your technology in real-world situations, work side-by-side with elite robotics experts, and develop a variety of cutting-edge technologies.
Switch between part-time and full-time as life demands
NREC is at the center of the robotics ecosystem in Pittsburgh, PA. With over 60 robotics companies, Pittsburgh has become the robotics capital of the world. Geek Wire calls it Robotics Row ; others call it Roboburgh . Join the leader in the most exciting time in robotics!
Join the best robotics R&D group
Join our talented team at NREC, an operating unit within the world-renowned Robotics Institute at Carnegie Mellon University. NREC has 20+ years of experience and is globally renowned for developing and deploying robots into many applications across multiple sectors, such as agriculture, mining, defense, energy, and manufacturing. We strive to provide solutions for real world challenges where automation and robots have greater impact on productivity and improve the safety and comfort of the labor force. Our unique expertise places us at the forefront of unmanned ground vehicle design, autonomy, sensing and perception, machine learning, machine vision, operator assistance, 3D mapping and position estimation. With over 120 robotics professionals, we can solve challenges that no other organization can.
NREC also leads in educational outreach through its Robotics Academy, which builds robotics curricula and software for K-12 and college-level students.
Your primary responsibilities include:
Developing software for machine learning and data-science applications
Architecting big-data pipelines
Adapting and integrating proprietary and open source software packages and APIs
Data preparation, integration, verification
Participating in the software process: design, code reviews, etc.
Developing, documenting, testing, and fixing software
Supporting development and acquisition of training and inference hardware
Development in a Linux environment
You must be willing to travel for extended periods for field testing.
B.S. in Computer Science, Engineering, Mathematics is required (Any more is a bonus)
3-5 years relevant experience is required.
Demonstrated understanding and use of software engineering concepts, practices, and procedures.
Proficient development skills (Python preferred)
Linux development experience
Technical communication skills
Ability to participate in a multi-disciplinary team
We especially want to hear from you if you have experience or qualifications in ANY of the following areas:
Data infrastructure tools (SQL, NoSQL, data version control, etc.)
High performance computing tools (Hadoop, AWS, Azure, etc.)
Model training infrastructure tools (tensorflow, caffe, Petuum, etc.)
Inference model deployment tools (Docker or other containerization, etc.)
Cloud, high performance, and distributed computing
Ingestion and integration of disparate sources
Data processing (pre-processing, augmentation, post-processing)
Tools and protocols for reproducible research and data analysis
Front end (Data visualization, exploration, labeling)
Proficient Matlab or R skills
Proficient C or C++ skills
Professional software development processes
Networking interfaces and applications
Mixed software and hardware architecture
CMake, Valgrind, and other development tools
Computer vision, robotics, machine learning, scientific computing, simulation, or graphics
At NREC, we value diversity, support it, and thrive on it for the benefits of our organization, our employees and our community.
Please visit "Why Carnegie Mellon
Internal Number: 2011503
About Carnegie Mellon University
Carnegie Mellon (www.cmu.edu) is a private, internationally ranked research university with programs in areas ranging from science, technology and business, to public policy, the humanities and the arts. More than 12,000 students in the university’s seven schools and colleges benefit from a small student-to-faculty ratio and an education characterized by its focus on creating and implementing solutions for real problems, interdisciplinary collaboration and innovation. A global university, Carnegie Mellon’s main campus in the United States is in Pittsburgh, Pa. It has campuses in California’s Silicon Valley and Qatar, and programs in Africa, Asia, Australia, Europe and Mexico.