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Internship Remote Design Verification Engineer Jobs in Ohio

Moody Engineering

Roadway Designer

Columbus, OH · On-site +1

$401K/yr

Moody Engineering is seeking an experienced, growth-minded Roadway Design Engineer for our fast ... We offer flexible hours with remote work flexibility and exceptional benefits! Primary Duties and ...

trimarkusa

Design Manager

Cleveland, OH · On-site +1

... Remote, but candidate must be located in one of the locations listed above The Design Manager is ... Coordinate with architects and engineers, estimators, installers and appropriate construction ...

trimarkusa

Design Manager

Cleveland, OH · On-site +1

... Remote, but candidate must be located in one of the locations listed above The Design Manager is ... Coordinate with architects and engineers, estimators, installers and appropriate construction ...

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Internship Remote Design Verification Engineer information

Is $30 an hour good for an intern?

For a remote design verification engineering internship, $30 an hour is above the average hourly rate, which typically ranges from $15 to $25 depending on location and company. This rate may reflect specialized skills or competitive market conditions, but interns should also consider the overall compensation package and experience gained. Internships often prioritize learning opportunities and skill development alongside pay.

What is the difference between Internship Remote Design Verification Engineer vs Internship Remote Test Engineer?

AspectInternship Remote Design Verification EngineerInternship Remote Test Engineer
Primary FocusVerifying hardware or chip designs against specificationsTesting software or hardware products for functionality and performance
Required SkillsHardware design, verification methodologies, scriptingTesting procedures, scripting, debugging
Work EnvironmentDesign labs, remote collaboration with design teamsTesting labs, remote testing environments
Common Industry UsageSemiconductor, electronics companiesSoftware, electronics, consumer electronics companies

While both roles involve testing and verification, the Design Verification Engineer focuses on ensuring hardware or chip designs meet specifications, whereas the Test Engineer emphasizes testing products for functionality. Internships in both areas provide valuable experience in verification and testing processes within the tech industry.

What is the meaning of internship?

An internship is a temporary position that provides practical work experience in a specific field, such as design verification engineering. Internships often target students or early-career professionals and may involve training, mentorship, and skill development. They typically last for a set period and can be paid or unpaid, offering exposure to industry tools and processes.

What are the key skills and qualifications needed to thrive as an Internship Remote Design Verification Engineer, and why are they important?

To succeed as an Internship Remote Design Verification Engineer, you need a solid understanding of digital design concepts, logic circuits, and proficiency in hardware description languages like Verilog or VHDL, often gained through coursework or related internships. Familiarity with simulation tools (such as ModelSim or Synopsys VCS) and version control systems is typically required, and knowledge of scripting languages like Python or TCL is a plus. Strong analytical thinking, effective communication, and attention to detail are crucial soft skills for collaborating with remote teams and identifying design issues. These skills enable accurate verification, efficient teamwork, and the delivery of reliable hardware solutions in a distributed work environment.

What does an Internship Remote Design Verification Engineer do?

An Internship Remote Design Verification Engineer assists in verifying and validating the functionality of hardware designs, typically for integrated circuits or systems on chip (SoC). Working remotely, they collaborate with engineering teams to develop test plans, create simulation environments, and run verification tests to ensure designs meet required specifications. Interns in this role learn industry-standard verification methodologies such as UVM and tools like SystemVerilog, and contribute to debugging and documenting design issues. The role provides practical experience in hardware design, verification processes, and remote teamwork within the semiconductor industry.

What are some common challenges faced by remote design verification engineering interns, and how can they overcome them?

Remote design verification engineering interns often face challenges such as limited face-to-face mentorship, time zone differences, and communication barriers with team members. To overcome these, it's important to proactively schedule regular check-ins with mentors, make use of collaborative tools (like Slack or Zoom), and document questions or issues clearly before reaching out for help. Staying organized and setting clear daily or weekly goals can also help interns stay on track and maximize their learning experience in a remote environment.

Is a 3.4 GPA good for internships?

For a remote design verification engineer internship, a 3.4 GPA is generally considered acceptable, especially if complemented by relevant skills such as hardware description languages or verification tools. Many employers value practical experience and technical skills alongside GPA, so demonstrating proficiency can be more important than the exact GPA score.

How to get an internship at Pixar?

To secure an internship as a Design Verification Engineer or similar role at Pixar, candidates should have a strong background in hardware design, verification methodologies, and relevant tools such as SystemVerilog or UVM. Applying through Pixar's official careers page during the internship application period and demonstrating relevant skills, projects, or coursework increases chances of selection.
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Internship Remote Design Verification Engineer jobs near you
Machine Learning Engineer New Grad 2024-2025 -Remote

Machine Learning Engineer New Grad 2024-2025 -Remote

Quora

Columbus, OH • Remote

$139K - $168K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 26 days ago

Job description

About Quora:

Quora’s mission is to grow and share the world’s knowledge. To do so, we have two knowledge sharing products:

  • Quora: a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
  • Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.

Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.

This role will be working on our Poe product.

About the Team and Role:

Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high quality code by designing APIs and abstractions that are extensible and maintainable. Everyone on the engineering team has a huge impact on our product and our company.

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code editing, RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to uncover new opportunities to the Poe product. You will also play a key role in developing tools and abstractions that our other developers would build on top of.

Responsibilities:
  • Improve our existing Machine Learning systems using your expertise
  • Identify new opportunities to apply Machine Learning to different parts of the Poe product
  • Work with other engineers to implement algorithms and systems in an efficient way
  • Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale
Minimum Requirements:
  • Ability to be available for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
  • A 2024 or 2025 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
  • Strong understanding of mathematical foundations of Machine Learning algorithms
  • Experience of transformer models and LLM applications
  • Strong knowledge of Python or C++, or the ability to learn them quickly
  • A passion for learning and always improving yourself and the team around you
Preferred Requirements:
  • Previous software engineering experience via an internship, work experience, or coding competition
  • Previous industry experience working on natural language processing, language modeling, etc.
  • Passion for Quora's mission and goals

At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.

Additional Information:

We are accepting applications on an ongoing basis.

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: https://www.careers.quora.com/benefits

There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.

  • US candidates only: For US based applicants, the salary range is $107,660 - $161,700 USD + equity + benefits.
  • Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $139,979 - $168,193 CAD + equity + benefits. For all other locations in Canada, the salary range is $130,647 - $156,980 CAD + equity + benefits.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Applicant Privacy Notice: https://www.careers.quora.com/applicant-privacy-notice

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