Sensmore

Physical AI for heavy machinery
Last updated:
January 27, 2026
Company details
HQ
HEADCOUNT
25-99
ORG TYPE
Startup
SECTOR
Manufacturing & Industrials
About the company
Sensmore is a robotics startup building “Physical AI” for off-highway heavy machinery, targeting sectors like mining and construction. The company sells a full-system approach that combines retrofitted hardware with proprietary AI software to automate real production tasks such as load-and-carry. Public materials also describe Vision-Language-Action Models as part of the autonomy stack. The company has publicly announced a $7.3M funding round led by a well-known European VC.
Locations and presence
Sensmore is Berlin and Potsdam-based, with a registered Berlin address and a listed Potsdam R&D hub. Hiring is centered in Germany with roles repeatedly posted across Berlin and Potsdam.
Palpable Score
40.6
/ 100
Sensmore is more open to early-career talent than many robotics startups because internships and working-student routes exist alongside full-time engineering hiring. The score is held back by thin public detail on interview structure, onboarding, pay ranges, and early-career progression outcomes.
Pillar 1: Early-career access

Score

11.0
/ 20
  • The company advertises an “Internship / MS thesis – Robotics Engineer (VLM / VLA Models)” role, which is a clear entry point for students and new grads.
  • Sensmore lists a “Working Student - Mechatronics Assembly Technician (20 hrs)” role, which is another practical early-career access route.
  • The company’s core full-time roles like Data Engineer / ML Ops and State Estimation Engineer are commonly framed with prior experience expectations, so most non-student pathways look mid-level.
Pillar 2: Hiring fairness and transparency

Score

10.0
/ 20
  • The company routes candidates through a structured job application portal rather than informal “email us” hiring.
  • Sensmore’s public role write-ups include concrete scope in areas like multi-sensor fusion, estimator robustness, and on-machine deployment, which helps candidates self-assess fit.
  • The company does not publicly publish interview stages, take-home boundaries, or decision timelines, so early-career applicants can’t gauge the process load up front.
Pillar 3: Learning and support

Score

7.0
/ 20
  • The company’s student pathways (internship and working-student roles) imply at least some day-to-day supervision, but public postings don’t spell out coaching mechanics.
  • Sensmore’s engineering roles include field testing and on-machine debugging, which can be high learning, but that learning may be sink-or-swim without an explicit ramp plan.
  • The company does not publicly commit to onboarding plans, mentorship, or manager 1:1 cadence, which caps confidence on consistent support for first-job hires.
Pillar 4: Pay fairness and stability

Score

8.3
/ 20
  • The company’s public “life at” materials mention benefits like an Urban Sports Club membership and office support (breakfast and drinks), which are modest but real.
  • Sensmore’s public fundraising announcement signals financial backing that can reduce short-term employment instability risk compared with unfunded projects.
  • The company does not publish salary ranges or an equity explainer for junior hires, so pay fairness can’t be assessed beyond basic benefits.
Pillar 5: Early-career outcomes

Score

4.3
/ 20
  • The company has little publicly available employee feedback and no visible review volume, which limits any read on early-career retention.
  • Sensmore does not publish promotion examples, levelling, or internal mobility stories that would show how junior hires grow after joining.
  • The company’s publicly visible team footprint is small enough that outcomes are hard to generalize, and there is no public alumni or tenure pattern write-up for early-career staff.
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