Location: Pittsburgh, Pennsylvania
The National Robotics Engineering Center (NREC) at Carnegie Mellon University is seeking software engineers to develop machine learning algorithms and applications for commercial and industry applications. Prior applications of our machine learning software currently give vision to autonomous mining vehicles, safeguard industrial automation systems, and reduce waste in agricultural platforms, among other exciting systems. You will bring together open-source, internal, and your own tools to support diverse machine learning applications. You will work with data from both commercial and government organizations. You will help us to support programs in autonomous vehicle safety and in AI for defense.
Your primary responsibilities include:
- Develop machine learning software for real world perception applications.
- Build new tools for Machine Learning Operations, including data analysis, transformation, model training, deployment, validation, and monitoring
- Transition applications to deployment with production quality CPU/GPU/FPGA code.
- Interact with sponsors for both planning, application support, and reporting purposes.
- Survey literature and implement state of the art techniques to solve challenging problems.
- Following best practices for team software development (peer reviews of designs and code, unit and system testing, version control, bug tracking, integrated documentation)
- Reporting complex technical detail to specialists and non-specialists
- Adapting and integrating proprietary and open source software packages and APIs
- M. S. in Computer Science, Engineering, Mathematics or equivalent experience (PhD is a bonus).
- 3-5 years combined graduate academic and professional software development experience.
- Experience with practical applications of deep learning (perception, language, sequences, or robotics)
- Knowledge of basic computer vision principles.
- Strong Python skills for developing reusable application code
- Linux development experience.
- Knowledge of basic software engineering principles.
- Solid technical communication skills.
- Demonstrated success working as part of a cross-functional team.
- Reporting complex technical detail to specialists and non-specialists.
- Demonstrated understanding and use of software engineering concepts, practices, and procedures
We especially want to hear from you if you have experience or qualifications in ANY of the following areas:
- Computer vision development
- Active learning
- Anomaly detection
- Few-shot or transfer learning
- Multi-modal data
- Structural learning / graphical models
- Proficiency with C or C++
- Data science or data management
- Model testing and evaluation
- Professional software development processes
- Software Architecture
- Leadership and supervision of engineers
- Management of data labelers
- Technical mentorship
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.
Have an Impact!
- Remove waste from farming = more food (link)
- Make industrial processes environmentally friendly (link)
- Make hazardous jobs safer (link)
- Improve efficiency in industry & manufacturing (link)
- Accelerate screening of pharmaceuticals (link)
Take Control of Your Career!
- Select the career pathway that interests you
- Influence the direction of projects
- Supportive of a non-standard schedule
- Maintain work/life balance
- Switch between part-time and full-time as life demands
NREC is at the center of the robotics ecosystem in Pittsburgh, PA. With over 100 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 25+ 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 160 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.
Opportunities people at NREC have seized:
As a member of NREC, you take control of your career. People in similar roles have shaped their careers to suit their interests and their needs.
- Publishing in conferences and journals
- Guest lecturing in university courses
- Becoming an in-depth expert in a technical area
- Leading projects and fostering client relationships
- Receiving mentoring from principal investigators
- Mentoring junior engineers
- Taking courses at Carnegie Mellon
- Stay connected with academic activities at Carnegie Mellon
- Performing consulting during off time
- Outreach to K-12 and college-level students
At NREC, we value diversity, support it, and thrive on it for the benefits of our organization, our employees and our community. Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
CMU's COVID-19 Vaccination Requirements: As a condition of employment, Carnegie Mellon University requires all staff and faculty working in the United States to be fully vaccinated, including a booster when eligible, against COVID-19. Prior to commencement of employment, new hires in the United States must provide proof of vaccination or obtain an approved exemption. (Exemptions may be requested for medical reasons or for religious or strong moral or ethical conviction.) Those granted an exemption must comply with all applicable COVID-19 mitigation requirements. The most up-to-date information on CMU's COVID-19 mitigation requirements can be found here: Minimum Requirements to Return to Campus.
Engineering, Research and Project Scientists
Staff - Regular
Full Time/Part time
Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
Click here to view a listing of employee benefits
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
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