Company details

HEADCOUNT

100-499

ORG TYPE

Startup

SECTOR

Technology & Digital

WEBSITE

https://www.multiversecomputing.com

About the company

Multiverse Computing builds quantum and quantum-inspired software, with two flagship lines that show up repeatedly in hiring and company materials: Singularity (optimization and quantum-inspired workflows) and CompactifAI (AI model compression for deploying smaller, cheaper-to-run models). The company was founded in 2019 and positions the work as applied deep tech for enterprise and public-sector customers. Recent company news focuses heavily on scaling commercial reach and efficiency-focused AI, alongside partnerships with large consultancies and industry players.

Locations and presence

Multiverse Computing is headquartered in Spain and publicly describes offices across Spain plus international hubs including Canada and parts of Europe, with a US presence via San Francisco. The company’s job board lists roles across multiple European cities and Toronto, with many positions set up as hybrid.

Palpable Score

61.8

/ 100

Multiverse Computing is better than many deep-tech firms at offering a visible entry point through internships and “junior: 1–2 years” tracks inside real product engineering roles. The overall score is held back by limited public evidence on early-career progression and by the heavy use of fixed-term contracts across a large chunk of the open roles.

Pillar 1: Early-career access

Score

13.0

/ 20

The company lists a Machine Learning Engineer Intern role tied to a structured student placement program, which is a direct entry-level route.
Multiverse Computing advertises some roles with an explicit “Junior: 1–2 years of experience” track (for example in Software Engineer postings), which widens access beyond PhD-only hiring.
The company’s wider open roles skew experienced and specialist, so early-career access looks present but not the dominant hiring pattern.

Pillar 2: Hiring fairness and transparency

Score

14.2

/ 20

The company states in multiple job ads that candidates should expect a fast process with quick feedback, which sets a clear expectation upfront.
Multiverse Computing includes concrete details in some postings like contract end dates, work mode (hybrid), and pay starting points, which reduces ambiguity for applicants.
The company relies on technical take-home style assessments for technical hiring based on candidate-shared interview experiences, and the public materials rarely lay out consistent interview stages across all roles.

Pillar 3: Learning and support

Score

13.2

/ 20

The company frames internships and several technical roles as working alongside domain experts on real customer problems, which is one of the strongest learning environments early in a career when it is well-managed.
Multiverse Computing explicitly promises a “career plan” and “opportunity to learn and teach” in the intern posting, which is a tangible support signal beyond vague “growth” language.
The company does not publicly spell out mentorship structure, onboarding length, or review cadence for juniors, so candidates have to infer what support looks like day to day.

Pillar 4: Pay fairness and stability

Score

12.2

/ 20

The company publishes a clear starting salary figure in at least one Software Engineer posting (with additional signing and retention bonuses), which is stronger pay transparency than many startups.
Multiverse Computing uses fixed-term contracts widely in current hiring, with multiple roles explicitly ending in June 2026, which can reduce stability for early-career hires planning rent, visas, or long-term skill development.
The company does not consistently publish salary ranges across all roles and geographies, so pay fairness is harder to judge for juniors outside the few roles that include numbers.

Pillar 5: Early-career outcomes

Score

9.2

/ 20

The company shares growth claims and hiring volume indicators (for example, a large open requisition list and headcount statements), but those are not the same as showing junior retention or promotion outcomes.
Multiverse Computing has mixed public employee-review sentiment, including criticism around management practices and job security, and there is not enough early-career-specific feedback to separate isolated issues from a pattern.
The company’s LinkedIn footprint suggests international scaling, but public proof points like junior-to-mid promotions, structured leveling, or 12–24 month retention snapshots are missing, which caps this pillar.