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Remote Software Engineering Intern Winter Jobs in Nevada

Controls Engineer III

Reno, NV · On-site +1

$83K - $107K/yr

Degree in Electrical, Mechanical, Electronics, or Software Engineering, or equivalent technical ... Flexibility & Remote Opportunities Whether in-office, hybrid, or fully remote, we offer the ...

Controls Engineer III

Sparks, NV · On-site +1

$83K - $108K/yr

Degree in Electrical, Mechanical, Electronics, or Software Engineering, or equivalent technical ... Flexibility & Remote Opportunities - Whether in-office, hybrid, or fully remote, we offer the ...

Product Manager

Las Vegas, NV · On-site +1

$125K - $170K/yr

Las Vegas or Remote US Summary: The Product Manager is responsible for managing assigned products ... Experience working with software engineering teams in Agile environments * Strong understanding of ...

AVP, Frontend Outsystems Manager

Las Vegas, NV · On-site +1

$110K - $140K/yr

Remote or Hybrid is not available. Axos Bank is looking for an experienced, product-oriented Assistant Vice President (AVP) Frontend Outsystems Manager to join our software engineering team and help ...

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Remote Software Engineering Intern Winter information

What types of projects and team collaborations can a Remote Software Engineering Intern expect during the winter term?

As a Remote Software Engineering Intern during the winter term, you will typically work on real-world projects that contribute to your team’s objectives, such as developing new features, fixing bugs, or improving existing systems. You can expect to collaborate closely with engineers, mentors, and sometimes product managers through virtual meetings, code reviews, and project management tools. Regular check-ins and pairing sessions are common to help you stay connected and receive feedback. This structure not only builds your technical skills but also helps you develop effective remote communication and teamwork abilities.

What are the key skills and qualifications needed to thrive as a Remote Software Engineering Intern in the winter term, and why are they important?

To thrive as a Remote Software Engineering Intern, you need a solid understanding of programming fundamentals, problem-solving abilities, and enrollment in or completion of a relevant degree program. Familiarity with version control systems like Git, common programming languages (such as Python, Java, or JavaScript), and collaboration tools like Slack or Jira is typically required. Strong communication, self-motivation, and time management are crucial soft skills for remote teamwork and learning. These skills and qualities ensure interns can effectively contribute, adapt to remote workflows, and maximize their learning experience.

What is a Remote Software Engineering Intern Winter?

A Remote Software Engineering Intern Winter is a student or recent graduate who works remotely, usually during the winter academic break, to gain practical experience in software development. These internships allow individuals to contribute to real-world projects, learn from experienced engineers, and develop technical and professional skills, all from a remote location. Companies typically offer these positions to help interns build industry knowledge and potentially transition into full-time roles after graduation.
What are popular job titles related to Remote Software Engineering Intern Winter jobs in Nevada? For Remote Software Engineering Intern Winter jobs in Nevada, the most frequently searched job titles are:
What cities in Nevada are hiring for Remote Software Engineering Intern Winter jobs? Cities in Nevada with the most Remote Software Engineering Intern Winter job openings:
Machine Learning Systems Engineer

Machine Learning Systems Engineer

Motional

Las Vegas, NV • On-site, Remote

Other

Posted 3 days ago


Job description

Mission Summary:

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost, reliability, and throughput. You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and reduce the time-to-convergence for our next generation of models.

What you'll be doing:

  • Performance Profiling & Optimization: Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time.
  • Distributed Training: Optimize distributed training pipelines using frameworks such as PyTorch Distributed.
  • Kernel Development: Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads.
  • Data Pipeline Engineering: Optimize robust data loading pipelines that maximize training throughput.

What we're looking for:

  • Education: Bachelor's, Master's degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline.
  • Software Engineering: Strong proficiency in Python.
  • ML Frameworks: Extensive hands-on experience with PyTorch.
  • ML Knowledge: Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes.
  • Problem Solving: Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges.

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.