Frequently asked questions

Gauntlet AI was founded by Austen Allred (Founder & CEO) with the mission to transform premier engineers into world-class AI-First developers who will lead the next wave of technological innovation. The program was created because the AI revolution's demand for engineers who can build with these powerful tools far outpaces the supply of world-class talent, and traditional education can't keep up with the pace of innovation.

Gauntlet begins with three weeks of full-time remote work. The program then transitions to an in-person session in Austin for roughly seven additional weeks, ending with graduation at the end of the cohort timeline.

No. There are no break-up fees or reimbursement obligations if you do not complete the program. The program is designed with aligned incentives and expects that not every challenger will finish.

Gauntlet covers core Austin costs so challengers can focus on the program. Housing and meals are structured to be no out-of-pocket for challengers (billed directly to Gauntlet through partners). Flights are typically booked on behalf of challengers rather than reimbursed. Exact meal logistics can vary by cohort, but challengers are not expected to pay out of pocket for covered items.

For Gauntlet Prime, Gauntlet generally requires 3+ years of professional software engineering experience in production environments. Internships do not count as professional experience. Hiring partners are not currently offering visa sponsorship, so candidates who require employer-sponsored visas are not eligible at this time.

No. Gauntlet requires a minimum of 3 years of professional software engineering experience in production environments. Internships do not count. Undergraduates are not eligible for the program.

Yes. Gauntlet provides access to frontier AI models at no cost to challengers so they can experiment with state-of-the-art capabilities throughout the program.

Gauntlet is full-time and highly intensive. Some people treat the remote phase as a low-risk way to evaluate fit, but sustained participation generally requires prioritizing Gauntlet over other full-time commitments.

Prior AI fluency is not required, but production engineering experience is. Gauntlet teaches a way of thinking about modern software development with AI tools, and emphasizes critical thinking about where these tools help (and where they don't) in production systems.

Gauntlet partners with companies hiring into senior-level roles, where total compensation is typically at or above $200,000 and often higher. Final compensation depends on the individual, the role, the company, and negotiation. Gauntlet does not set individual compensation packages or participate in final salary decisions.

Placement is core to the model. Gauntlet partners with companies that want to hire from the cohort, and companies can observe challenger work throughout the program. Hiring partners have dedicated time to meet challengers, use a portal to review profiles/resumes/work, and begin interviews (often starting around weeks 4–5, depending on partner tier).

Gauntlet does not guarantee outcomes, but placement is the primary objective of the program. The overwhelming majority of graduates secure roles through the program, with placements happening during the cohort and continuing in the weeks following graduation. Challengers typically interview with multiple companies so they can evaluate fit and choose the role that best matches their goals.

Gauntlet requires a cognitive assessment as a hard admissions gate in addition to the experience requirement. Accepted tests: CCAT or GMAT. Gauntlet Prime: CCAT 40+ OR GMAT 655+ (new GMAT). Gauntlet for America: CCAT 35–39. Candidates may take the CCAT up to two times. Scores are used only for admissions and are not shared with hiring partners.

Neither program is better — they serve different goals. Gauntlet Prime focuses on private-sector roles with commercial tech companies. Gauntlet for America targets government-related positions and building a talent pipeline for public-sector work. Both are equally rigorous with the same training intensity. Gauntlet Prime roles are typically in Austin or remote, while Gauntlet for America roles are expected to eventually require relocation to the Washington, DC area.

Gauntlet Catalyst is a 6-week program designed to transform existing engineering teams within a company into AI-first builders. It uses the same principles, instructors, and infrastructure as Gauntlet Prime but in an adapted format: a 3-week remote foundation (part-time) followed by a 3-week Austin intensive. Catalyst is for upskilling existing employees, not job placement.

Gauntlet runs four cohorts per year. Cohort 6 is currently in progress (started Jul 6, graduation Sep 13, 2026) and is not open for new applications. Cohort 7: Remote starts Sep 14, 2026; Austin on-site starts Oct 5, 2026; Graduation Nov 21, 2026. We typically publish dates for the year as they are finalized. If you can't join the next cohort, you can be considered for a later one.