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Python Intern Jobs in Wrentham, MA (NOW HIRING)

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Python Intern information

What is the difference between Python Intern vs Python Developer?

AspectPython InternPython Developer
Required CredentialsTypically pursuing or recently completed a degree in computer science or related fieldProven experience, often with a degree or equivalent in computer science or related field
Work EnvironmentInternship programs, entry-level projects, supervised tasksFull-time roles, independent project work, team collaboration
Employer & Industry UsageTech companies, startups, educational institutionsTech firms, software companies, enterprise environments
Common Search & ComparisonEntry-level, learning, internship opportunitiesProfessional, full-time employment, career growth

The main difference between a Python Intern and a Python Developer lies in experience and responsibilities. Interns are usually students or recent graduates gaining initial exposure, working under supervision. Developers are experienced professionals responsible for designing, coding, and maintaining software solutions independently. Internships serve as a stepping stone toward becoming a full-fledged Python Developer.

What types of projects can a Python Intern expect to work on during their internship?

As a Python Intern, you will typically be involved in supporting ongoing development projects, such as building automation scripts, data analysis tools, or assisting with backend web development. Interns often collaborate with software engineers, data scientists, or QA teams to contribute code, debug issues, and participate in code reviews. The scope of projects may vary by company, but most internships provide hands-on experience with real codebases, exposure to version control systems like Git, and opportunities to learn best practices from experienced mentors.

What does a Python Intern do?

A Python Intern typically assists in developing, testing, and maintaining software applications using the Python programming language. They may work on tasks such as writing scripts, debugging code, automating processes, and collaborating with team members on various projects. Interns often gain hands-on experience with frameworks, libraries, and tools commonly used in Python development. The role is designed to help them build practical skills and prepare for a full-time career in software engineering.

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

To thrive as a Python Intern, you need a solid understanding of Python programming fundamentals, problem-solving ability, and typically a background in computer science or related coursework. Familiarity with version control systems like Git, basic knowledge of frameworks such as Django or Flask, and experience using code editors or IDEs are common technical requirements. Initiative, willingness to learn, and effective communication help interns stand out by enabling collaboration and adaptability in team environments. These skills ensure that interns can contribute effectively to projects, learn quickly, and integrate smoothly into professional development workflows.
What are the most commonly searched types of Python jobs in Wrentham, MA? The most popular types of Python jobs in Wrentham, MA are:

Design Verification Engineer, Intern

Tenstorrent University Jobs

Boston, MA

Other

Posted 12 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 Design Verification Engineer Intern on the SoC Digital Verification team, you will help ensure the functional correctness and robustness of Tenstorrent's next-generation RISCV and AI accelerator SoCs. You will work on building and improving modern verification environments, developing tests and checkers, and analyzing coverage to sign off complex digital IP and subsystems. Your work directly contributes to the reliability of the chips that power our AI and highperformance computing roadmap.

We are looking for a minimum of 3 months for this role with the potential for extension to 6 months.

This role is hybrid, based in our Boston, MA office.


Who you are

  • Pursuing a B.S. , M.S. or PhD. in Electrical Engineering, Computer Engineering, Computer Science, or a related field with a focus on digital design and verification.
  • Strong understanding of digital logic design and computer architecture (pipelines, caches, interconnects, memory systems).
  • Familiar with HDLs such as Verilog/SystemVerilog, and interested in learning Formal verification, Cocotb, and UVMbased verification methodologies.
  • Comfortable working in Linux-based development environments and using scripting languages (e.g., Python, Shell, Perl) to automate tasks.
  • Detail-oriented problem solver who enjoys debugging complex issues, reasoning about corner cases, and working from specifications.
  • Collaborative team member with clear communication skills, able to document work and discuss tradeoffs with RTL, architecture, and validation teams.

What We Need

  • Help develop and maintain SystemVerilog/UVM testbenches for SoC IP blocks and subsystems, including stimulus, checkers, and scoreboards.
  • Write and refine verification test plans from architectural and microarchitectural specifications, with a strong focus on corner cases and coverage.
  • Develop constrainedrandom and directed tests, run regressions, and triage failures by working closely with RTL designers to root-cause issues.
  • Analyze functional and code coverage results, identify gaps, and propose additional tests or checks to drive coverage closure.
  • Contribute to automation and infrastructure (scripts, Makefiles, CI hooks, dashboards) that improve verification productivity and debug turnaround time.
  • Partner with crossfunctional teams (architecture, design, performance, validation) to align on expected behavior and signoff criteria for silicon.
  • Have impact measured through coverage metrics achieved, quality and reproducibility of bugs found, and robustness of the verification environment you help build.

What You Will Learn

  • Endtoend SoC design and verification flow for cuttingedge RISCV and AI accelerator architectures.
  • Industrystandard verification methodologies (SystemVerilog/UVM), including testbench architecture, stimulus generation, and scoreboard/checker design.
  • Hands-on experience with simulation, regression, and coverage tools used in largescale industrial verification environments.
  • How to read and interpret hardware specifications, microarchitecture documents, and timing diagrams, and translate them into actionable tests and assertions.
  • Exposure to highperformance interconnects, memory controllers, and accelerators, and how they are verified at IP, subsystem, and SoC levels.
  • Best practices for collaborating in a silicon development team, including code review, documentation, and crosssite communication.

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.