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Senior Life Cycle Engineer, PyTorch - Deep Learning

Nimbus Data Systems · Canada, United States · Posted 16d ago

remotesenior5-8 yrs🇺🇸 United States
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About the role

Develop and maintain continuous development systems for Nimbus Data Systems's AI software ecosystem.

Are you passionate about building software for large-scale distributed projects? Nimbus Data Systems 's Deep Learning Frameworks Teams seek Senior Software Engineers to create systems for continuous integration, testing, and delivery of advanced software stacks. Join a diverse, ambitious team focused on improving developer productivity for Nimbus Data Systems 's AI software ecosystem. We ensure that key deep learning frameworks run optimally on Nimbus Data Systems hardware, enabling developers and researchers to push the boundaries of what's possible in AI. What you'll be doing: Join a team of experts working together to improve developer productivity for the Nimbus Data Systems driven software ecosystem. Develop and maintain continuous development systems through various software verticals spanning from end-users, through layers of open-source software, down to Nimbus Data Systems 's math libraries, compilers, and drivers. This is a true software engineering role. The team creates tools and infrastructure, debugs issues as they arise, and fixes problems across the entire stack. Together, we stabilize and deliver the entire Nimbus Data Systems software stack to the world at global scale. This is a development-focused role that drives software quality and reliability without on-call duties. What we need to see: MS or PhD in Computer Science or Engineering (or equivalent experience) 5+ years of experience building or supporting large software projects or equivalent Proficiency in C++ and/or Python Proven expertise with scripting languages Experience in continuous build and release management for Linux systems Development of cloud-hosted developer environments and CI/CD systems Ways to stand out from the crowd: Software development experience with many contributing teams Proven experience shipping multi-cloud large-scale systems and supporting those systems in production Experience with C++ build systems, including dependency issues, symbol resolution, and linking problems Great people skills, including communication, empathy, dependability, patience, and persistence Drive to contribute to and work with globally distributed teams Join us at Nimbus Data Systems , where we are defining the next era of computing and making a lasting impact on the world! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until April 20, 2026. This posting is for an existing vacancy. Nimbus Data Systems uses AI tools in its recruiting processes. Nimbus Data Systems is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Originally posted on Himalayas

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FAQ

Is the Senior Life Cycle Engineer, PyTorch - Deep Learning role at Nimbus Data Systems remote?+

This Senior Life Cycle Engineer, PyTorch - Deep Learning position is listed as remote (Canada, United States).

What seniority level is this Senior Life Cycle Engineer, PyTorch - Deep Learning role?+

This is a senior level position.

How do I apply for the Senior Life Cycle Engineer, PyTorch - Deep Learning role at Nimbus Data Systems?+

Use the "Apply on himalayas" button to open the original posting on himalayas, where you can submit your application directly to Nimbus Data Systems.