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Winter Remote Internship Jobs (NOW HIRING)

Winter Remote Internship information

See salary details

$9

$17

$23

How much do winter remote internship jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for winter remote internship in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Winter Remote Intern, and why are they important?

To excel as a Winter Remote Intern, you typically need strong organizational skills, academic knowledge relevant to the field, and enrollment in or recent completion of a degree program. Familiarity with collaboration tools like Zoom, Slack, and Google Workspace, as well as basic project management software, is often required. Outstanding self-motivation, communication, and time management set top candidates apart in a remote setting. These skills and qualities are crucial for delivering results, staying engaged, and building professional relationships while working independently.

What are winter remote internships?

Winter remote internships are short-term work experiences that take place virtually during the winter months, typically from December to February. These internships allow students or recent graduates to gain practical experience, develop professional skills, and build connections with employers from the comfort of their own homes. They often involve project-based work, flexible schedules, and regular communication with supervisors and team members via digital platforms. Winter remote internships are a great way to enhance your resume and explore potential career paths during the academic break.

What types of projects and responsibilities can I expect during a Winter Remote Internship?

During a Winter Remote Internship, you can expect to work on a variety of projects relevant to your field of study or interest, such as research, data analysis, content creation, or assisting with ongoing team initiatives. Interns often collaborate closely with supervisors and team members through virtual meetings, emails, and project management tools. You may also have opportunities to participate in training sessions, networking events, or mentorship programs offered by the organization. The work environment is typically flexible, but time management and proactive communication are key to succeeding in a remote setting.

What is the difference between Winter Remote Internship vs Winter Remote Marketing Assistant?

AspectWinter Remote InternshipWinter Remote Marketing Assistant
Required CredentialsEnrolled in or recent graduate of relevant fieldEnrolled in or recent graduate of marketing, communications, or related field
Work EnvironmentRemote, flexible hours, project-basedRemote, collaborative team setting, marketing-focused tasks
Employer & Industry UsageInternships offered by various industries, including tech, finance, nonprofitsMarketing departments across industries, advertising agencies
Search & Comparison IntentLooking for entry-level, short-term remote internshipsSeeking remote marketing support roles or internships

The Winter Remote Internship is a broad, entry-level position suitable for students or recent graduates across various industries. In contrast, the Winter Remote Marketing Assistant is specialized for those interested in marketing tasks within a remote work environment. Both roles often require similar educational backgrounds and are used by employers to develop skills in a flexible, remote setting.

Infographic showing various Winter Remote Internship job openings in the United States as of June 2026, with employment types broken down into 60% Internship, 20% Full Time, and 20% Part Time. Highlights an 100% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

CPU/AI Workload Analysis Intern

Tenstorrent University Jobs

Santa Clara, CA • On-site, Remote

Other

Posted 10 days ago


Job description

At Tenstorrent, we believe the future of computing must be open, which is why our interns don't just watch from the sidelines - they help build the core of it. We provide a "code-to-career" pipeline where students collaborate with industry experts to solve high-stakes problems in RISC-V and AI hardware-software co-design. By joining us, you are taking an internship to democratize high-performance computers that are accessible to everyone.

As a CPU Performance Architect Intern at Tenstorrent, you will join a team of world-class CPU designers and performance architects to shape the future of high-performance computing. You will research emerging CPU workloads, analyze their impact on next-generation CPUs, accelerators, and build innovative solutions that maximize hardware performance. 
This role is on-site, based in our Santa Clara, CA office. We may also consider remote candidates on a case-by-case basis. 
 

Who You Are 

  • Currently pursuing a Ph.D. in Computer Architecture, Parallel Computing Artificial Intelligence/ Machine Learning, or a related field, with a strong publication record.
  • Strong foundation in computer organization, computer architecture, parallel computation and digital logic design. 
  • Hands-on with Linux, performance and power profiling tools, Silicon PMU profiling, and hardware performance counters. 
  • Proficient in Shell scripting, Python, and C++, with experience in PyTorch, benchmarking, and targeted microbenchmarks. 
  • Strong familiarity with modern AI productivity workflows, with the ability to effectively use AI tools. 

What We Need 

  • Conduct deep research into cutting-edge CPU application trends, workload characterization, and advanced performance and power modeling techniques. 
  • Build robust profiling, automation, and visualization tools that accelerate workload analysis and streamline production workflows. 
  • Identify microarchitectural bottlenecks, reduce workloads for efficient simulation, and leverage hardware-software co-design principles to propose hardware-aware optimizations. 
  • Enable and optimize critical CPU workloads, utilizing advanced parallel computation techniques to unlock the full potential of Tenstorrent hardware and contribute novel research or patentable ideas. 

What You Will Learn 

  • How CPU workload analysis informs next-generation accelerator architecture and performance strategy. 
  • Practical approaches to workload characterization, reduction, performance modeling, and simulation at scale. 
  • How to profile, analyze, and optimize real-world software, ranging from industry-standard SPEC CPU benchmarks to emerging agentic AI workloads across hardware and software boundaries. 
  • Techniques for identifying performance bottlenecks and optimizing the execution of multi-agent AI systems on modern microarchitectures. 
  • How CPU designers, performance architects, and software teams work together to turn analysis into product impact. 

USA Hiring Timelines

This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:

  • Winter Term: Jan-Apr work term, Sept-Dec recruit.
  • Summer Term: May-Aug work term, Oct-Apr recruit.
  • Fall Term: Sept-Dec work term, Jan-Aug recruit.

Please note these timelines are for reference only. Actual timelines may vary.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.