Groq Internship 2027–2028: Programs, Deadlines & How to Apply

Last updated: July 2026

Groq built the LPU (Language Processing Unit), the fastest AI inference chip on the market, and its internship program offered 4- to 5-month placements at $30 to $50 per hour with an interview philosophy that explicitly told candidates to skip LeetCode and show their GitHub instead. In December 2025, Nvidia entered a $20 billion licensing and talent agreement that moved Groq's founder and much of the engineering team to Nvidia. Groq claims to remain an independent company, and its careers page still describes the internship program, but no intern positions are listed as of July 2026. If the program resumes for Summer 2027, the guide below covers everything you need to prepare.

Quick Facts

Groq's internships ran 4 to 5 months at $30 to $50 per hour, with a project-driven interview loop that favored GitHub portfolios over algorithm puzzles. The December 2025 Nvidia deal adds uncertainty: Groq says it is still independent, but no intern roles are posted as of July 2026. Monitor both groq.com/careers-at-groq and Nvidia's university recruiting page.

Externships are short, remote projects where you finish real work for a real company. The Wayfair AI Agent Engineering Externship and Beats by Dre Data Analytics Externship build the practical engineering and data analysis evidence that Groq's GitHub-first, project-driven interviews reward. Explore all Externships.

What Is a Groq Internship?

A Groq internship was a paid, full-time, 4- to 5-month placement at the company that invented the LPU, a custom AI inference chip designed from scratch to run large language models faster than any GPU-based system. Unlike the 12-week programs at most tech companies, Groq's longer format gave interns time to contribute meaningfully to production systems in distributed inference, model evaluation, and compound AI engineering. The interview process was deliberately different: Groq's careers page told candidates to 'skip the LeetCode grind' and show real project work, valuing GitHub portfolios and demonstrated learning speed over algorithmic puzzle performance. In December 2025, Nvidia entered a $20 billion agreement that moved Groq's founder Jonathan Ross and much of the engineering team to Nvidia. Groq under new CEO Simon Edwards claims to remain independent, and the GroqCloud inference API continues to operate, but multiple Summer 2026 intern offers were rescinded following the deal. Whether the program resumes for Summer 2027 is an open question.

When Do Groq Internship Applications Open for 2027–2028?

Groq historically ran two internship cycles per year: Summer (May through September) and Winter (January through May). Applications were rolling with no fixed deadlines. For the Summer 2027 cycle, applications would historically open around October to November 2026, but this timeline carries low confidence given the December 2025 Nvidia deal. Multiple Summer 2026 intern offers were rescinded after the agreement, and as of July 2026, Groq's job portal shows no open internship positions. The best strategy for interested candidates is to monitor both groq.com/careers-at-groq and Nvidia's university recruiting page starting in fall 2026, and treat the preparation window as an investment that transfers to any AI inference role regardless of which company posts the seat.

Why You Must Apply the Week Applications Open

Groq's rolling application process historically rewarded early applicants, the same pattern seen at most startups. But the December 2025 Nvidia deal adds a layer that no other company in this guide has: genuine uncertainty about whether the program will run at all for Summer 2027. Multiple Summer 2026 intern offers were rescinded after the agreement, and Groq's job portal shows no open intern roles as of July 2026. The practical move is to prepare as if the program will return, because the skills transfer directly to Nvidia, Cerebras, SambaNova, and every other AI inference company. Build a GitHub portfolio with real distributed-systems or ML-evaluation projects, not LeetCode solutions. Groq's careers page said it plainly: 'Skip the LeetCode grind, highlight your GitHub and the real work you have done.' That advice applies whether or not Groq is the one reading your application.

Which Groq Internship Programs Should You Target?

Groq historically offered 6 or more intern tracks across two cycles per year (Summer and Winter). Cohorts were small relative to large tech companies, consistent with Groq's startup scale of roughly 200 to 400 employees pre-acquisition. The tracks below reflect roles seen in past listings and on the careers page.

An Operations and Supply Chain internship track was also offered for non-engineering candidates. Check groq.com/careers-at-groq for any updated listings. Note: Groq is the AI inference chip company (groq.com), not Grok (xAI's chatbot). They are completely unrelated.

What Are the Eligibility Requirements?

Groq's historical intern postings shared these common requirements:

• Education: currently pursuing or recently completed (within 6 months) a Bachelor's, Master's, or PhD in Computer Science, Engineering, Machine Learning, AI, or a related field.

• Work authorization: must be authorized to work in the United States or Canada. International students typically used CPT or co-op authorization. No explicit intern visa sponsorship was stated, though Groq filed 11 H-1B petitions historically for full-time roles.

• Availability: full-time for 4 to 5 months. This is notably longer than the standard 12-week internship at larger companies, so plan academic schedules accordingly.

• Technical interest: demonstrated interest in generative AI, inference systems, or evaluation systems. Groq valued candidates who had built real projects over those with only coursework credentials.

Does Groq Require a Specific GPA?

Groq did not list a GPA requirement in its intern postings. The careers page emphasized practical skill alongside academic excellence, and the interview process evaluated GitHub portfolios, learning speed, and real project work rather than transcript numbers. A strong open-source contribution history or a well-documented side project carried more weight than a high GPA.

What Skills Does Groq Look For, and How Do You Build Them?

Read across six Groq intern job descriptions and careers page requirements, four engineering variants, one product management, and one operations, and the pattern is distinct from most AI companies. Python appears in every engineering posting, but the emphasis is on practical engineering and project work rather than algorithmic problem solving. Groq's careers page states explicitly: 'Skip the LeetCode grind, highlight your GitHub and the real work you have done.' Open-source contributions and a strong portfolio appear in three of six listings, distributed systems knowledge in four, and generative AI or inference experience in three. The underlying signal is that Groq hired for builders who could ship in a startup environment, not puzzle-solvers who could pass a whiteboard round.

How Is Demand for AI Infrastructure Interns Moving Right Now?

Build These Skills Before You Apply

And every skill in that chart maps to a remote Externship where you finish a real project before a role opens.

How close is the overlap? The Wayfair project is agent-engineering work that produces exactly the kind of finished, real-company portfolio artifact Groq's 'show us your GitHub' philosophy rewarded, and the Beats project delivers the data-analysis evidence an evaluation or product track needs.

What Is the Groq Application and Interview Process Like?

Groq's interview process was deliberately different from the industry standard, emphasizing project work and practical skill over algorithmic puzzles:

1. Find open roles at groq.com/careers-at-groq or jobs.gem.com/groq. If no internship roles are posted, you can share your resume on the gem.com portal for future opportunities. Also check Nvidia's university recruiting page, as many former Groq engineers now hire there. Contact talent@groq.com for recruitment inquiries.

2. Recruiter screen and initial call. A brief conversation covering background, motivation, and interest in Groq's inference technology. This is a fit and logistics check.

3. Technical interview (project-focused, not LeetCode). Groq's careers page states: 'Skip the LeetCode grind, highlight your GitHub and the real work you have done.' Expect questions about projects you have built, how you master new concepts, and your practical coding ability. One Glassdoor report for an AI Application Engineering Intern describes a 5-minute self-introduction, 30-minute Q&A session, and time for candidate questions.

4. Hiring manager and team fit conversation. Values alignment check covering curiosity, humility, collaboration, and the ability to work with minimal guidance in a startup environment.

5. Offer. Historically extended on a rolling basis. Note that multiple Summer 2026 offers were rescinded following the December 2025 Nvidia deal, so weigh the stability of any offer against the company's current trajectory.

Groq's Glassdoor data rates overall interview difficulty at 3.3 out of 5 with 69.6% positive experience, though engineer-specific interviews were rated at 4 out of 5 difficulty. The key differentiator is the GitHub-first philosophy: drill real project work, not algorithm puzzles. Build something in Python or Go that solves a real problem, document it thoroughly on GitHub, and be ready to walk through your design decisions in conversation. That preparation works whether the interviewer is at Groq, Nvidia, Cerebras, or any other inference-layer company.

What Students on Reddit Say

Three community threads show the Groq internship landscape, including the post-acquisition fallout, all paraphrased.

How Do You Stand Out When the Company's Future Is Uncertain?

Three moves, all built for transferability. First, treat Groq preparation as AI-inference preparation: the skills that Groq's interview process tested, Python fluency, distributed systems knowledge, and a GitHub portfolio of real projects, are the same skills that Nvidia, Cerebras, SambaNova, and every other inference-layer company evaluate. Nothing you build for a Groq application goes to waste. Second, follow Groq's own advice literally: 'Skip the LeetCode grind, highlight your GitHub and the real work you have done.' Build a project that involves inference optimization, model evaluation, or distributed API design, document it publicly, and be ready to walk through your design decisions conversationally. Third, monitor both groq.com/careers-at-groq and nvidia.com/careers/university-recruiting starting in fall 2026. Many former Groq engineers now hire at Nvidia, and a candidate who understands LPU architecture and inference optimization stands out in either pipeline. The uncertainty is real, but the skill investment is not wasted.

What Other Companies Should You Consider?

Groq sits at the inference layer of the AI hardware stack. If you are building an AI infrastructure internship list, these are the natural neighbors:

Our tech internships summer 2027 guide maps the whole landscape, timeline by timeline.

FAQ

Is Groq still hiring interns after the Nvidia deal?

As of July 2026, Groq's job portal shows no open internship positions. However, Groq's careers page still describes its internship programs, and the company claims to remain independent under new CEO Simon Edwards. Candidates should monitor both groq.com/careers-at-groq and Nvidia's university recruiting page for Summer 2027 opportunities.

How much do Groq interns get paid?

Historical data shows $30 to $50 per hour for US technical internships. Glassdoor reports an average of $52 per hour with a range of $40 to $69. Toronto interns earned approximately $39 per hour ($6,760 per month) per Levels.fyi. Housing and transportation support were also provided.

Does Groq use LeetCode-style interviews?

No. Groq's careers page explicitly states: 'Skip the LeetCode grind, highlight your GitHub and the real work you have done.' Interviews focused on project experience, demonstrated learning ability, and practical coding skills rather than algorithmic puzzles.

What is the difference between Groq and Grok?

Groq (groq.com) is the AI inference chip company that built the LPU (Language Processing Unit). Grok is xAI's chatbot product. They are completely unrelated companies with similar-sounding names.

Can international students intern at Groq?

Job listings required authorization to work in the US or Canada. International students typically used CPT or co-op work authorization. Groq filed 11 H-1B petitions historically for full-time roles but did not explicitly state intern visa sponsorship.

How long are Groq internships?

Groq internships ran 4 to 5 months (approximately 16 to 20 weeks), significantly longer than the typical 12-week programs at larger companies. Summer ran May through September and Winter ran January through May.

Were Groq intern offers rescinded after the Nvidia deal?

Yes. Multiple Summer 2026 internship offers were rescinded following the December 2025 Nvidia agreement. Community reports on Reddit confirm that at least one incoming Groq intern had their offer rescinded after the deal. This is a real risk to weigh when evaluating any future Groq offers.

Should I apply to Nvidia instead of Groq?

If your interest is in AI inference and LPU technology, applying to both makes sense. Many former Groq engineers, including founder Jonathan Ross and president Sunny Madra, now work at Nvidia. Nvidia's university recruiting page lists AI hardware and inference roles that align closely with what Groq previously offered. The skills are transferable either way.

Whether Groq resumes hiring or the seat opens at Nvidia instead, the preparation is the same: build real projects, document them on GitHub, and let the work speak. A remote Externship turns 'interested in AI inference' into a finished engineering artifact that works in any pipeline.