Perform routine laboratory analyses and support quality assurance activities in a brewery setting.
Responsibilities
Perform routine analytical testing in Packaging, Microbiology, Physical-Chemistry, and Sensory laboratories
Ensure laboratory testing is conducted accurately, safely, and within defined turnaround times
Verify reliability, integrity, and traceability of analytical results
Maintain accurate laboratory records, documentation, and electronic systems
Maintain laboratory equipment through calibration, verification, routine checks, and reporting of abnormalities
Requirements
Degree, diploma, or equivalent qualification in Brewing, Food Science, Microbiology, Chemistry, Biological Sciences, Engineering or a related discipline
Lead the scientific evaluation of autonomous driving performance, defining metrics, methods, and recommendations to guide product decisions.
Compensation
The base salary range for this role is $250,000 to $384,600.
Responsibilities
Set multi‑year technical direction for evaluation
Invent new ways to judge overall driving behavior
Define evaluation methods for perception, prediction, planning, and localization
Trace bad driving back to subsystems and measure error impact
Define regression detection and version‑to‑version comparison
Requirements
Bachelor's, Master's, or PhD in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, Statistics, Data Science, or related field
Provide analytical and financial modeling foundation for New Product Development team, quantifying commercial viability of bundled product propositions across U.S. and Canada.
Compensation
Pay offered dependent on knowledge, skills, and experience
Responsibilities
Develop and maintain multi-entity financial, margin, and volume models
Support U.S. and Canada Product Leads with business analysis, KPI reporting, competitive benchmarking
Provide analytical partnership to Mexico Product Lead
Build and maintain product performance dashboards (Power BI)
Author SQL queries against enterprise data warehouses
Requirements
Bachelor's degree in Economics, Finance or Statistics
This internship focuses on rigorous benchmarking of machine learning and optimization methods for inverse design and optimization. You will develop a reproducible benchmarking framework for comparing an existing engineering design workflow with selected academic and open-source methods across representative inverse design and optimization problems.
Responsibilities
Review relevant state-of-the-art research and available open-source implementations in inverse design, black-box optimization, reinforcement learning, and related methods as appropriate to the selected use cases.
Select a small set of technically meaningful baseline methods together with the supervising researchers.
Define representative engineering optimization problems with explicit design variables, objectives, constraints, parameter ranges, and simulation settings.
Establish matched experimental protocols covering initialization, random seeds, evaluation budgets, stopping criteria, and training or model-building costs.
Adapt and integrate baseline implementations with existing engineering simulation workflows.
Requirements
PhD currently pursuing or recently completed in Machine Learning, Computer Science, Electrical or Electronic Engineering, Applied Mathematics, or a related technical field
Nice to have: sample efficiency
Nice to have: transfer learning
Nice to have: inverse design
Nice to have: RF engineering
Skills
Modeling and Simulation Engineer - Weapon Systems
Modern Technology Solutions Inc · Posted Nov 5, 2026
Support the development and evaluation of warhead performance requirements through physics-based modeling, simulation, and engineering analysis.
Responsibilities
Perform lethality analyses to support the development and evaluation of warhead performance requirements for weapon systems.
Evaluate weapon effectiveness against specified target types under varying engagement conditions and weapon system constraints.
Develop and execute simulation scenarios using established lethality modeling tools, including BALAGAN.
Conduct parametric studies, sensitivity analyses, and Monte Carlo simulations to assess performance and identify key influencing factors.
Utilize Python and other analytical tools to process simulation data, evaluate results, and generate visualizations.
Requirements
Bachelor's degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Physics, Mathematics, or a closely related technical discipline.
Nice to have: Master's degree in Engineering, Physics, Mathematics, or a related technical discipline.
Nice to have: 7 years of relevant experience in engineering analysis, modeling and simulation, or a related technical field.
Nice to have: Experience with six-degree-of-freedom (6DOF) trajectory modeling and simulation.
Nice to have: Understanding of warhead characteristics, terminal ballistics, fragmentation, blast effects, or penetration mechanics.
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Modeling and Simulation Engineer - Weapon SystemsModern Technology Solutions Inc · Huntsville, US