Axelera AI builds AI hardware and software for inference acceleration, with the Metis platform positioned for edge and embedded use cases. The company is headquartered at the High Tech Campus in Eindhoven and hires across multiple European R&D locations. Public company materials describe a distributed team working across many countries, plus benefits aimed at enabling flexible work. Reuters coverage also points to major non-dilutive funding support for future chip development.
Locations and presence
Axelera AI is headquartered in Eindhoven, with R&D offices referenced across Belgium, Switzerland, Italy, the UK, and France. The company also hires in a remote or hybrid setup for many roles, depending on function and country.
Palpable Score
58.7
/ 100
Axelera AI offers real early-career entry through paid internships and a handful of junior-tagged roles, which is meaningful for a deep-tech hardware company. The score is capped by limited pay transparency and thin, mixed public evidence on hiring consistency and early-career outcomes.
Pillar 1: Early-career access
Score
12.0
/ 20
The company runs paid internship routes, including a masters-level graduation internship in Eindhoven with a defined 24-week plan and weekly supervisor meetings.
Axelera AI has advertised a Recruiting Intern or Apprentice role (6+ months) aimed at students or people with initial experience, tied to campus engagement and hands-on hiring work.
The company’s main live vacancies list is dominated by Senior, Staff, Director, and specialist roles, so early-career access exists but is not the default hiring pattern.
Pillar 2: Hiring fairness and transparency
Score
12.0
/ 20
The company’s Recruiting Intern posting is clear about constraints that matter to candidates, including “no visa sponsorship for internships” and a stated application deadline.
Axelera AI has public candidate feedback describing multi-stage interviews, but also reports of role scope changing mid-process and weak follow-up, which hurts trust in consistency.
The company does not publish an easy-to-check, role-by-role interview process overview on the main careers page, so candidates often rely on third-party pages to understand what happens next.
Pillar 3: Learning and support
Score
13.0
/ 20
The company’s internship postings include explicit coaching signals, such as weekly supervisor meetings for the graduation internship and mentoring by the Recruiting Manager plus the wider People team for the recruiting internship.
Axelera AI places interns into real delivery work like end-to-end model development and deployment onto proprietary accelerator hardware, rather than side-project “assistant” tasks.
The company does not publicly describe repeatable onboarding mechanics for full-time juniors (buddying, ramp milestones, review cadence), which limits confidence that support is consistent beyond internships.
Pillar 4: Pay fairness and stability
Score
12.7
/ 20
The company states “this is a paid opportunity” in internship materials, and the internships described are full-time and time-bounded rather than unpaid trials.
Axelera AI lists a benefits package publicly (remote or flexible work, premium insurance, commute benefit, premium pension), which supports stability once hired.
The company rarely publishes salary ranges on first-party job pages, and third-party compensation data points are thin, so early-career pay fairness is hard to verify before applying.
Pillar 5: Early-career outcomes
Score
9.0
/ 20
The company has very limited public employee review volume, so it’s hard to validate early-career retention, manager quality, or promotion patterns from outcomes data.
Axelera AI has some positive employee signals around environment and growth opportunities, but the sample is too small to treat as a reliable pattern for juniors.
The company is scaling and has significant external funding support, but there are no published early-career outcome metrics like intern-to-offer rates, time-to-promotion, or internal mobility examples.
