Modeling and Simulation Engineer - TS/SCI

Leidos has an immediate & exciting opportunity for a TS/SCI cleared Mechanical Modeling Engineer in our Intel Security Sector's Analysis Solutions Business Area . Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos , we offer competitive benefits , including Paid Time Off, 11 paid Holidays, Immediate Vesting in our 401K, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security! Job Summary: The Mechanical Modeling Engineer will support the National Space Intelligence Center (NSIC) at Wright-Patterson Air Force Base in Dayton, OH. In this role, the Mechanical Modeling Engineer will construct highly detailed 3-D geometric computer-aided design (CAD) models of multiple foreign spacecraft to include static and dynamic characteristics (e.g., external configuration, layout and location of internal subsystems, antenna and solar panel motion, construction techniques, and materials descriptions). CAD models shall be completed in industry standard portable formats, ensuring that products conform to existing standards, as required by the client. The Mechanical Modeling Engineer will collaborate with a team of military, government, and other contractors to achieve high confidence answers to challenging problems. Our new colleague will also work independently and have effective writing and verbal communication. Primary Responsibilities: Construct highly detailed 3-D geometric computer-aided design (CAD) models of multiple foreign spacecraft. D

Systems Engineer (Modeling & Simulation) (Associate or Mid-Level) Company: The Boeing Company Boeing Defense & Security (BDS) is looking for an Associate or Mid-Level Systems Engineer (Modeling & Simulation) (Level 2 or 3) to join our multi-disciplined engineering team in Albuquerque, New Mexico designing and developing advanced concepts on a DOD propriety program . This position will join a multi-disciplined team of engineers and scientists to develop and test advanced concepts for the Department of Defense. Work could include such things as image processing and analysis, radiometry, modeling and simulation, evaluation of field data to anchor models, and wherever the data may lead throughout the program. The ideal candidate will have strong MATLAB or Mathematic skills, an interest in data analysis; modeling and simulation; and some knowledge of optics and electro-optics. Position Responsibilities: Assists in developing and validating requirements for various electro-optical systems and components Uses data analysis results and output of mod/sim tools to assist in the development and validation of requirements for electro-optical systems, mechanical systems, interconnects and structures Works with engineering teams to collect and analyze data used to anchor models Performs complicated trade studies, modeling, simulation and other forms of analysis to predict component, interconnects and system performance and to optimize design around established requirements Defines and conducts critical analyses of various kinds to validate performance of designs to requirements Defines and conducts tests to validate performance of designs to requirements and anchor models to fi

Role Overview We are seeking a Staff Simulation Engineer to build an end-to-end aerial autonomy simulation stack at DoorDash Labs. This is a highly technical, hands-on leadership role focused on defining and implementing the simulation architecture that underpins autonomy development, validation, CI/CD testing, and pilot training. You will operate as the technical authority for simulation: owning core architecture decisions, developing key components yourself, and setting engineering standards. You will build and mentor a small, high-caliber simulation team while remaining deeply involved in implementation and system design. This role is ideal for someone who has built simulation systems from first principles, understands simulator internals deeply, and is excited to create a world-class platform from scratch. Key Responsibilities Architect and implement an end-to-end simulation stack for aerial autonomy at DoorDash Labs.. Develop high-fidelity simulation capabilities, including: Flight dynamics modeling Contact modeling and constraint handling Sensor and perception simulation Autonomy software-in-the-loop (SITL) integration Design and implement scalable simulation infrastructure to support: Regression testing in CI/CD pipelines Continuous validation of flight autonomy and autopilot software stack Mission-level testing and scenario generation Build cloud-deployed simulation systems to enable large-scale parallel testing and pilot training. Partner closely with autonomy, controls, and aircraft teams to ensure simulation fidelity and validation alignment. Establish technical direction, architecture standards, and performance benchmarks for simulation. Mentor and grow a small team of simulation engineers while remaining deeply hands-on. Required Qualifications Master’s or PhD in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, Aerospace Engineering, or a related field. 10+ years of experience in robotics or physics-based simulation. Deep expe

NVIDIA is searching for a highly motivated, creative embedded software engineer to join the GPU Software team. As someone who is hardworking and passionate about their work, you will design key aspects of our RISCV BSP package used across the GPU. You should demonstrate the ability to excel in an environment with complex software and hardware designs. What you'll be doing: Define, design, develop and verify features for next-gen RISCV controllers on our GPU; collaborating with hardware engineers and fellow software engineers You will follow the devices all the way through the development process to the customer desktops, notebooks, workstations, and gaming console products that are used throughout the world Heavily involved with the early modeling and simulation required to produce our world-class products Multiple opportunities to collaborate and communicate effectively with teams from all around the globe What we need to see: BS or MS degree in Computer Engineering, Computer Science, or related degree (or equivalent experience) 8+ years of meaningful software development experience, especially with embedded systems You can demonstrate a hands-on technical background; excellent C programming and embedded, device driver development experience Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.) Ways to stand out from the crowd: Familiarity with the RISCV architecture Experience with inner workings of toolchains such as gcc, gdb Background with embedded system SW concepts, e.g.: RTOS and overlay programming models Experience with simulation, emulation and HW development cycle Good documentation and ab

NVIDIA Architecture Modeling group is looking for Architects, Functional Modeling Engineers, and Simulation experts to join various architecture efforts across GPU/ SOC Architecture teams. A key part of NVIDIA's strength is to innovate in parallel computing fields, delivering the highest performance in the world for high-performance computing. We are constantly looking for ways to improve our SoC and Systems architecture and maintain our leadership. In this position, you will be working with other world-class architects on modeling, analysis and validation of chip & system architectures and features that advance the state of art in performance and efficiency. What you'll be doing: Modeling and analysis of SoC & Systems algorithms and features, across datacenter, automotive, and client products Build and deliver platforms for SOC's that enable left shift for the SW teams aligned with project milestones Work closely with the SOC architects and guide modeling teams to deliver high-quality functional models that involve SOC+GPU use cases Collaborate with our EDA partners to align on customer-facing technologies Develop tests, test plans, and testing infrastructure for new architectures/features and code coverage analysis and reporting Ensure alignment between the various modeling teams at NVIDIA, GPU modeling teams, and modeling teams overseas What we need to see: Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related relevant field (or equivalent experience) with 5+ years of relevant work experience. Strong programming ability: C++, C along with a good understanding of build systems (CMAKE, make) , toolchains (GCC, MSVC) and libraries (STL, BOOST) Computer Architecture background with experience in modelling wit

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Welcome to Micron’s Advanced Mask Development Group! We are a group of engineers who provide advanced technology solution of Optical Proximity Correction (OPC) and Resolution Enhancement Techniques (RET) to support wafer process development. Through the rigorous simulation and data analysis, we develop the optimization strategy and methodology in reticle design to support all Micron products, using various tools, scripts and programming to improve process window of semiconductor process on wafers. You will have the opportunity to participate and to collaborate in a group project, together with an experienced RET engineer, to work on the intersection of AI agents and advanced OPC / RET techniques to help automate part of the RET development flow. Responsibilities: Study and comprehend photolithography modeling theory and simulation methodology. Build AI work flow and programs for RET/OPC tasks. Improve beyond the existing metrics achieved by the Process-Of-Record. Build a document of Best Known Method based from your learning, and to detail the thought process and the supporting data. Work on a hands-on and collaborative project with the Photolithography group in Technology Development. Build automated scripts and/or program to improve the efficiency of the current methodology. Identify potential opportunities of improvement, including areas which can be challenging to achieve during the internship period. </l