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Founding Engineer - Resiquant

Remote: 
Full Remote
Contract: 
Experience: 
None
Work from: 
California (USA), United States

Offer summary

Qualifications:

Background in Computer Science and full stack development., Experience with Computer Vision and LLMs is a plus., Experience with geospatial data is a plus., Strong verbal and written communication skills..

Key responsabilities:

  • Develop and maintain backend software products.
  • Participate in product ideation and development.
  • Apply AI/ML techniques to process building data.
  • Find and merge dissimilar datasets.
  • Write, test, document, and review code.
Pear VC logo
Pear VC Private Equity & Venture Capital Startup https://www.pear.vc/
11 - 50 Employees
See more Pear VC offers

Job description

Logo Jobgether

Your missions

About Us:

Across the globe, rapid urbanization and escalating climate change impacts are driving skyrocketing risks from disasters like earthquakes, hurricanes, and wildfires—yet exposed building inventories are unstandardized, static, and incomplete, preventing decision making across verticals, from public policy to real estate transactions.

At ResiQuant, we're on a mission to empower insurers, financial institutions, and asset managers with the world’s first single source of truth for property data that actually provides engineering-relevant building characteristics.

Founded by Stanford PhDs and backed by Pear VC, ResiQuant is driven by an unwavering commitment to protect communities and businesses from the devastating impacts of disasters. We believe that every organization deserves access to best-in-class property risk intelligence to build resilience against the storms to come—and we won't stop until this is the norm, not the exception.

About You:

We're seeking a passionate individual to join us as our Founding Engineer, becoming the pivotal third member of our team. We prize candidates who share our company's vision and are ready to help foster an inclusive and collaborative culture. As a lean pre-seed startup, we need someone with a scrappy, hands-on approach, eager to evolve alongside our team. The ideal candidate is excited to apply their expertise, to shape the trajectory of a groundbreaking company.

  • Start date: Immediate

Qualifications:
  • Background in Computer Science and full stack development..

  • Experience with Computer Vision and LLMs in the academic and/or practical environment or interest is a nice to have.

  • Experience with geospatial data is a nice to have.

  • Great communicator in both verbal and written means.

What will make you stand out:
  • Proficiency/Experience with web application development and maintenance as well as APIs.

  • Proficiency/Experience working with satellite and/or street view imagery

  • Previous involvement in UI/UX development or collaboration with UI/UX developers

What drives us:
  • Impact: we are driven by a shared mission to address a paramount challenge of our time

  • Resolve: we believe that hard work and resilience yield extraordinary outcomes

  • Urgency: we are motivated to outpace rapid urbanization and escalating disaster impacts

Why join RQ:
  • Opportunity to be involved in an early-stage startup and build the culture you want to see.

  • Chance to pioneer and disrupt one of the world's largest industries.

  • Experience firsthand the tangible impact of what you build.

Day to day:
  • Develop and maintain the backend software products.

  • Participate in product ideation and development.

  • Apply computer vision and other AI/ML techniques to harvest building data.

  • Find and merge dissimilar datasets.

  • Write, test, document, and review code according to RQ’s development standards that you would help to define.

What we offer:
  • Competitive salary commensurate with experience

  • Equity in the company as a founding member

  • Vibrant tech startup environment

  • Competitive company 401(k) program with company matching

  • Health insurance

  • Working on the challenge of our generation with other passionate people

Required profile

Experience

Level of experience: None
Industry :
Private Equity & Venture Capital
Spoken language(s):
Check out the description to know which languages are mandatory.

Soft Skills

  • verbal-communication-skills
  • Problem Solving
  • collaboration
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