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Lead Scientific Programmer

Backend Full-time Permanent United States

Job details

$98,000 Salary
United States Eligibility
Lead Experience
Full-time Employment

About this role

Role overview Lead the development of numerical methods for a scientific and engineering simulation platform. The role spans mathematical design, C++ implementation, model-based verification, and integration across the product lifecycle, with opportunities to improve existing algorithms and explore machine learning approaches to simulation.

Responsibilities - Design and implement the equations, algorithms, and numerical solutions behind the simulation engine. - Work with engineers and product partners to turn customer and business needs into technical specifications and integrated features. - Build practical models to verify algorithm behavior, support quality assurance, and provide examples or customer assistance. - Document numerical methods and their implementation, and help formalize modeling, testing, and support practices. - Advise quality assurance and customer support on advanced modeling questions; explain technical concepts clearly to varied audiences. - Identify ways to modernize algorithmic infrastructure and apply machine learning to extend or accelerate simulation methods.

Requirements - A master’s or doctoral degree in science or engineering, with a strong academic record. - Broad applied mathematics and numerical methods experience, such as matrix algebra or solving partial differential equations. - Extensive C++ programming experience, ideally on scientific or engineering software, and a record of delivering practical numerical solutions. - Background in earth science or civil engineering; contaminant transport modeling is particularly relevant. - Strong written communication and ability to collaborate across technical and product teams.

Nice to have - Experience with numerical libraries, Windows desktop applications, or data tools such as MATLAB, R, or Tableau. - Experience applying machine learning or other AI techniques to scientific or engineering software.

Benefits and work setup - Remote-first environment, with optional access to U.S. offices; the role is described as hybrid. - Flexible time off, paid parental leave, retirement contributions, health, vision and dental coverage, a health reimbursement arrangement, bonus programs, and an employee assistance program.

Skills detected in the listing

C++TableauStakeholder ManagementMachine LearningLLM
Detected Oct 29, 2026
Last verified Oct 29, 2026

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