PhysicsX

AI-driven physics engineering platform
Last updated:
January 24, 2026
Company details
HQ
HEADCOUNT
100-499
ORG TYPE
Startup
SECTOR
Technology & Digital
About the company
PhysicsX is a physical AI company building AI-driven simulation software for engineering and manufacturing. The company focuses on using “Large Physics Models” and real-time, multiphysics workflows to speed up design, manufacturing, and operations decisions. PhysicsX works across sectors like aerospace and defense, automotive, semiconductors, materials, and energy. The company publicly positions Delivery as a customer-embedded team that turns models into measurable outcomes.
Locations and presence
PhysicsX is headquartered in London with a second office in New York. The company also recruits for Delivery roles in Singapore, suggesting an expanding on-the-ground customer presence in Asia.
Palpable Score
55.5
/ 100
PhysicsX has credible signs of early-career access through internships and at least one explicitly junior engineering listing, plus strong baseline benefits. The main constraint is consistency: most current open roles are mid-to-senior, and candidate feedback points to uneven interview communication, which drags down fairness and early-career outcomes.
Pillar 1: Early-career access

Score

9.0
/ 20
  • The company has offered internships (for example, computational chemistry and CFD-focused intern roles) aimed at Master’s and PhD-level candidates rather than broad entry-level hiring.
  • PhysicsX has had at least one “Junior Software Engineer” role scoped to 0–1 years of experience, which is a strong signal when it appears, but this kind of listing is not prominent in the current core job board.
  • The company’s main live openings skew toward “Senior,” “Lead,” “Principal,” and 3–5+ years requirements, which limits day-one access for typical grads.
Pillar 2: Hiring fairness and transparency

Score

11.0
/ 20
  • The company publishes a clear multi-stage interview flow (intro, problem-solving rounds, final interview) and sets expectations like hybrid working and relocation support.
  • PhysicsX job descriptions are detailed on scope, customer-facing travel expectations, and day-to-day responsibilities, which helps applicants self-select realistically.
  • The company also attracts public interview complaints about unclear formats, slow feedback loops, and generic rejection messaging, which suggests inconsistency in candidate experience.
Pillar 3: Learning and support

Score

12.5
/ 20
  • The company advertises “personal development” support and learning access as part of the standard package across technical roles.
  • PhysicsX internship descriptions include hands-on training elements and explicit mentorship language (for example, mentoring from senior engineers and feedback on technical approaches).
  • The company’s Delivery narratives emphasise tight collaboration across Delivery, Product, and Research, but most full-time roles still assume you can “hit the ground running,” so structured early-career ramp signals are uneven.
Pillar 4: Pay fairness and stability

Score

13.5
/ 20
  • The company lists a strong benefits baseline in multiple roles: equity options, private healthcare, enhanced parental leave, flexible working, and a 10% employer pension contribution (UK context).
  • PhysicsX has some pay transparency via posted US base-pay ranges on certain roles, plus third-party salary snapshots for technical titles, which is better than many deep-tech startups.
  • The company often asks candidates to state salary expectations and does not consistently publish ranges across regions and seniorities, which caps confidence for early-career pay fairness.
Pillar 5: Early-career outcomes

Score

9.5
/ 20
  • The company has a small but meaningful pool of public employee sentiment pointing to strong “career opportunities” ratings and fast growth learning, which is a positive outcome proxy.
  • PhysicsX shows headcount growth and a widening mix of technical titles on LinkedIn, but public evidence of junior-to-mid promotion arcs is limited.
  • The company does not publish early-career retention, promotion rates, or conversion outcomes from internships, so outcomes for new grads are hard to verify beyond anecdotal reviews.
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