Systems Engineer job in Fort Collins

Colorado State University
Fort Collins, CO, United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Compensation
$41,600.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Systems Engineering Python (Programming Language) NumPy Pytorch Information Technology

Job description

The System Engineer will be responsible for supporting fundamental research and implementation in human-AI collaboration and task guidance in various domains, including education and Healthcase.

Requirements

  • BS in Computer Science or currently enrolled in a BS in Computer Science, * Experience in Python, Numpy, Pytorch, or ROS2

Benefits & conditions

Colorado State University is not just a workplace it’s a thriving community that’s transforming lives and improving the human condition through world-class teaching, research, and service. With a robust benefits package, collaborative atmosphere, and focus on work-life balance, CSU is where you can thrive, grow, and make a lasting impact.

  • Review our detailed benefits information here.
  • Explore the additional perks of working at CSU here.
  • For the total value of CSU benefits in addition to wages, use our compensation calculator.
  • Lastly, click here for more information about why Fort Collins is consistently ranked in the top cities to live in!

Background Check Policy Statement

Colorado State University strives to provide a safe study, work, and living environment for its faculty, staff, volunteers and students. To support this environment and comply with applicable laws and regulations, CSU conducts background checks for the finalist before a final offer. The type of background check conducted varies by position and can include, but is not limited to, criminal history, sex offender registry, motor vehicle history, financial history, and/or education verification. Background checks will also be conducted when required by law or contract and when, in the discretion of the University, it is reasonable and prudent to do so.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Maximizing execution memory effectively via python numpy broadcasting

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Preventing remote code execution in PyTorch models

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Bridging Fortran and Python in modern computing

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Balancing data science skillings alongside systems engineering rigor

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Replacing NumPy with cuPy for straightforward GPU acceleration

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