Senior Computational Scientist / Engineer, Trajectory Simulation

Triton Systems, Inc.•Chelmsford, MA

3d•$120 - $150

About The Position

Triton Systems, Inc. is seeking a Senior Computational Scientist / Engineer to provide technical leadership on research and development efforts within its Applied Computational Engineering group. The role focuses on advancing efficient, high-fidelity simulations of atmospheric and orbital flight, improving accuracy while reducing computational resources. The successful candidate will guide a small technical team, coordinate academic and industry collaborators, and work with a program manager to plan and execute objectives supporting Department of Defense national security efforts. The position also involves turning prototype numerical algorithms into secure, high-performance, modular, production-ready simulation software that integrates with other systems through well-defined APIs. Candidates with 7 or more years of experience may be considered at the Senior Scientist or Senior Engineer level; exceptional candidates with 5 or more years may be considered at a level just below Senior. The role includes technical project leadership and execution; development and verification of numerical methods and flight physics models; scientific software engineering in C++; customer and partner engagement; technical reporting and presentations; and compliance with export-control and information-security requirements. Triton Systems is a U.S. Government contractor headquartered in Chelmsford, Massachusetts. Interested candidates must be U.S. citizens. Offers are contingent on satisfying federal identity and employment eligibility requirements, and continued employment may be contingent on a background check if the employee receives access to CUI.

Requirements

U.S. citizenship and an active Secret clearance, or the ability to obtain and maintain one.
Deep understanding of applied mathematics, including ordinary differential equations, numerical analysis, and numerical integration methods.
Strong foundation in classical mechanics and dynamics relevant to flight and orbital trajectories.
Strong proficiency in C++ for scientific or high-performance computing, with working competency in Python, MATLAB, and Java.
Demonstrated technical leadership, such as serving as a technical lead or task lead on funded R&D projects.
Experience interfacing with clients and managing customers, including leading technical meetings and presentations.
Experience coordinating partners, subcontractors, or academic collaborators and delegating work to small technical teams.
Strong organizational skills and a record of delivering contract deliverables on time.
Excellent technical writing skills, including reports, proposals, and documentation.
Experience with source control such as Git or Subversion, Agile development, and secure coding practices.
5–7 years of relevant experience in computational modeling, simulation, or scientific software, including technical leadership; candidates with 7+ years may be considered at Senior level, and exceptional candidates with 5+ years may be considered below Senior.
MS or Ph.D. in Applied Mathematics, Physics, Aerospace Engineering, Computational Science, or a related field is strongly preferred; a BS with equivalent experience is considered.
Ability to satisfy federal requirements regarding proof of identity and the lawful right to work in the United States.
Ability to satisfy a background check if continuing employment involves access to Confidential Unclassified Information (CUI).

Nice To Haves

Experience with trajectory simulation, flight dynamics, 6-DOF modeling, or orbital mechanics.
Experience with power series or Taylor series methods for ordinary differential equations.
Experience with federated or distributed simulation frameworks.
Experience with defense modeling and simulation.
Experience with parallel computing, GPU programming such as CUDA, or HPC environments.
Record of successful SBIR/STTR or other government R&D proposals.
Publications, presentations, or patents in a relevant technical area.
Experience applying AI/ML methods to scientific computing problems.
Familiarity with DoD cyber compliance, CI/CD pipelines, and automated testing.

Responsibilities

Provide technical leadership and direction on computational simulation projects from approach through delivery.
Partner with the Program Manager to plan, schedule, and execute objectives, tracking milestones, risks, and resources.
Help maintain project schedules and ensure high-quality, timely deliverables.
Delegate and oversee tasks for small teams of engineers and academic collaborators, providing direction and technical review.
Interface with government customers, supporting and leading meetings, technical reviews, and demonstrations.
Coordinate with academic, subcontractor, and industry partners, managing tasking and integrating contributions.
Prepare and own technical reports, presentations, and contract deliverables.
Contribute to and lead proposal efforts and identify transition and commercialization opportunities.
Ensure compliance with export-control (ITAR/EAR) and information-security requirements.
Develop, analyze, and optimize numerical algorithms for trajectory simulations, including high-order integration methods for ordinary differential equations.
Perform convergence, stability, and error analysis to achieve target accuracy with fewer time steps and lower computational cost.
Model atmospheric and orbital flight physics, including equations of motion, gravity, aerodynamics, and coordinate-frame transformations.
Verify and validate algorithm accuracy and performance against established simulation tools and benchmark scenarios.
Apply AI/ML methods where useful for acceleration, surrogate modeling, or analysis.
Implement numerical methods in robust, efficient, maintainable C++ code.
Mature research code into secure, optimized, clean, modular, production-ready software.
Apply performance techniques such as parallelization, vectorization, or GPU acceleration.
Design software for integration within distributed simulation environments.
Define requirements, architecture, and interfaces, and plan integration with other systems.
Maintain documentation, version control, testing, and build workflows, applying secure coding practices.
Communicate complex mathematical and technical concepts clearly to customers, partners, and team members.
Serve as a computational simulation subject matter expert supporting Triton technical staff, customers, and partners.