Simulation Engineer Jobs

Flight Simulation Software Engineers (Associate, Experienced, and Senior) Company: The Boeing Company The Boeing Company is currently seeking Flight Simulation Software Engineers (Associate, Experienced, and Senior) to join the Flight Simulation Labs team located in Berkeley, MO . This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. **Our teams are currently hiring for a broad range of experience levels including; Associate, Experienced, and Senior Level Software Engineers. Our Air Dominance software engineers design, develop, and demonstrate avionics solutions for the platforms we build and upgrade. Your efforts will assist in integration of innovative technologies to maintain our platform’s dominance over the battlefield for many decades to come. Additionally, our software engineers support the Flight Simulation products associated with our platforms. The roles will involve software development for tools that support simulation infrastructure across Flight Simulation Labs. Selected candidates will be aligned to a statement of work that best suits their interests and skillset, some of which could include: Creating core simulation infrastructure to serve as a jumping-off point for programs developing flight simulation capabilities Developing tools to simulate, monitor, and capture messages between subsystems in a lab environment Modeling various aircraft capabilities, including the ability to run constructive scenarios in a testing environment Position Responsibilities: Develops, documents and maintains architecture, requirements, algorithms, interfaces and designs for softwa

Lead Software Engineer-Simulation Company: The Boeing Company The Boeing Company is currently seeking a Lead Software Engineer-Simulation (Level 5) to join the Flight Simulation | Labs team located in Berkeley, MO. Flight Simulation | Labs provides comprehensive simulation and laboratory solutions for the design, development, and deployment of Boeing Defense Systems products. This position is for a Lead Software Developer on the Test Development Kit (TDK) project on the Flight Simulation Core Software team. TDK is a simulation architecture and toolset which comprises the core Modeling & Simulation infrastructure for multiple current and future generation Boeing defense platforms. The TDK product is critical to the success of the supported programs. The TDK Lead Software Engineer will lead the design, architecture, and development of the TDK framework, models and tools to facilitate the testing and analysis needs of the programs. The Lead Software Engineer will serve as a subject matter expert on the TDK product and simulation in general, and as a customer facing technical expert for the Flight Simulation | Labs (FSL) TDK product and capabilities. Position Responsibilities: Oversees the design, architecture, and development of simulation models, simulation visualizations, virtual environments/platforms and frameworks to enhance test performance, safety, and durability of software and hardware systems throughout the entire product lifecycle. Partners with stakeholders to advise on the review and identification of simulation requirements and dynamics of the systems being simulated. Oversees the design

Experienced Simulation Software Engineer - Training Systems Company: The Boeing Company The Boeing Company is looking for an Experienced Simulation Software Engineer - Training Systems to join our Government Vehicle Health Management Systems (GVHMS) team in Hazelwood, MO . The Government Training Team develops innovative simulation software solutions that advance pilot readiness and mission success. This Software Engineer role involves designing, architecting, and developing simulation models, virtual environments, and frameworks, while collaborating with stakeholders to optimize overall simulation performance. Responsibilities include simulation validation, integration, and modernization of legacy software within a secure Agile development environment. The role requires strong expertise in C++, with additional knowledge of Python, containerization, and cloud-based technologies. Familiarity with emerging software engineering methods and prior aviation or engineering experience are highly valued for contributing to this fast-paced, mission-focused team. At The Boeing Company, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Position Responsibilities: Designs, architects, and develops simulation models, simulation visualizations, virtual environments/platforms, and frameworks to enhance test performance, safety, and durability of software and hardware throughout the entire product lifecycle Partners with stakeholders to identify simulation r

Modeling and Simulation Systems Engineer (Mid-Level or Senior) Company: The Boeing Company Boeing Defense, Space & Security (BDS) is seeking a Modeling and Simulation Systems Engineer to join our team in Albuquerque, New Mexico. The Boeing Laser and Electro-Optical Systems (LEOS) organization is dynamic and growing with a leadership team focused on attracting and developing top talent in support of critical missions for national defense involving Directed Energy. This position will plan, develop and maintain complex analysis and simulation models/tools to evaluate and improve total system architecture and performance and address complex defense problems ensuring mission success. Our teams are currently hiring for a broad range of experience levels including mid-level and senior level modeling and simulation systems engineers. Position Responsibilities: Evaluates systems under various scenarios and architectures to determine and/or optimize overall system mission performance Develops and maintains analysis tools of varied fidelity including modeling and simulation tools to predict performance against evolving threats of current and future defense systems Develops, refines and documents key algorithm capabilities to support various DoD customers Conducts analysis of multiple targets discrimination for survivability, vulnerability, and susceptibility into a preferred configuration to ensure mission success Performs systems analyses of the existing system architecture in conjunction with new technologies and concepts for improvements to be considered for future architectures Develops and maintains accurate and reliable models to support directed energy and space-b

Zoox is building a full-stack autonomous mobility solution from the ground up. The System Behavior Analysis team is the front line for triage of driving events and software issues from our vehicle fleet and large-scale simulation, turning that data into engineering signal. As the Technical Program Manager for System Behavior Analysis, you will sit in our Platform SW Integration organization and treat triage as a systems and data problem. Triage sits in the middle of a larger loop, from the fleet and simulation through engineering fixes to validation and release. You will partner with software development, software integration, QA, safety, product, vehicle operations and the Program Management Office. In this role, you will: Drive triage accuracy and routing. Run the triage reviews that get defects, high-severity live-service issues and safety-critical events accurately classified and routed to the downstream teams that act on them. Measure and improve triage health. Track throughput, misclassification, latency, backlog aging, automation coverage and regulatory-reportable issues, and use them to flag risks early and give leadership decision-ready updates. Program-manage triage tooling and automation. Bring requirements to the dedicated tools and automation team, help sequence what gets automated, and track delivery, adoption and the capacity it frees. Manage intake and escalation. Maintain the intake paths, escalation criteria and shared boards partner teams rely on. Plan commitments and capacity. Turn milestones into quarterly triage commitments and forecast demand across onshore, offshore and vendor teams Qualifications Systems-Oriented Background: 3+ years in technical program management or engineering operations, with a systems mindset: you see a program and its hardware-software systems as connected parts, and trace

Our Simulation team builds the tools that engineers across the company rely on to validate autonomous vehicle safety and performance - including 3D scenario authoring tools, generative models for realistic traffic and scenario generation, and agentic tooling that automates manual simulation workflows. The team combines traditional software engineering with machine learning engineers, and the simulation coverage they deliver directly determines how many miles, scenarios, and edge cases we can validate before each autonomy release. We're looking for an Engineering Manager to lead a team of software and ML engineers building the scenario authoring tools, generative models, and agentic tooling that engineering relies on broadly to validate autonomous vehicle safety and performance. You'll own the team's technical direction - including its ongoing shift toward generative AI - while growing and developing the team, and you'll partner cross-functionally to scale our generative scenario creation capabilities as a company-wide capability with executive visibility. In this role, you will: Manage and grow a mixed team of software and machine learning engineers building simulation tools that are used broadly across engineering to validate autonomous vehicle safety and performance. Set and drive the team's technical direction, investing in agentic tooling to automate manual simulation workflows and deploying in-house generative models for exploratory vehicle testing. Lead high-visibility, cross-functional initiatives to scale the company's generative scenario creation capabilities, partnering with stakeholders across engineering and earning executive sponsorship. Own delivery of simulation tooling and services, including scenario authoring tools (e.g., 3D visual editors) used broadly across engineering teams. Ensure simulation tooling keeps pace with new Operational Design Domain (ODD) capabilities and upcoming autonomy milestones.<

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

Robotics Research Engineer - Robot Simulation and Evaluation — US, CA, Santa Clara. Apply via Workday.

Infrastructure Engineer (SRE) Department: Engineering – Infrastructure About Atomic Industries Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that. At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration. Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy. About the Role As an Infrastructure Engineer at Atomic, you’ll own the systems that power high-performance simulation, geometry processing, and factory automation. You’ll be responsible for building and maintaining the hybrid infrastructure that spans cloud, on-prem, and GPU compute environments. This role is ideal for engineers who thrive at the intersection of reliability, performance, and engineering velocity. What You’ll Do Manage and improve CI/CD pipelines (GitHub Actions, Terraform, HashiCorp stack) Orchestrate compute workloads across cloud and bare-metal GPU clusters Design systems for secure, fault-tolerant deployment and observability Build internal tooling to accelerate developer workflows and operations Partner with engineers on simulation, ML, and backend tea

Infrastructure Engineer (SRE) Department: Engineering – Infrastructure About Atomic Industries Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that. At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration. Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy. About the Role As an Infrastructure Engineer at Atomic, you’ll own the systems that power high-performance simulation, geometry processing, and factory automation. You’ll be responsible for building and maintaining the hybrid infrastructure that spans cloud, on-prem, and GPU compute environments. This role is ideal for engineers who thrive at the intersection of reliability, performance, and engineering velocity. What You’ll Do Manage and improve CI/CD pipelines (GitHub Actions, Terraform, HashiCorp stack) Orchestrate compute workloads across cloud and bare-metal GPU clusters Design systems for secure, fault-tolerant deployment and observability Build internal tooling to accelerate developer workflows and operations Partner with engineers on simulation, ML, and backend tea

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. Micron's Design-Technology Co-Optimization (DTCO) team plays a critical role in bridging semiconductor device technology and circuit design to enable next-generation DRAM products. The team evaluates emerging technologies, develops methodologies for performance assessment, and contributes to early design enablement activities that influence product power, performance, and area (PPA). Through close collaboration with device, process, modeling, and design engineering teams, DTCO helps guide technology development decisions that shape future memory solutions. As a DTCO Intern, you will gain hands-on experience evaluating advanced DRAM technologies and assessing their impact on future product architectures. You will use industry-standard electronic design automation (EDA) tools, perform circuit simulations and benchmarking, and apply data analysis techniques to support technology development decisions. This position provides an opportunity to work alongside world-class engineers while developing technical skills in semiconductor technology, circuit design, and AI-enabled automation workflows. Responsibilities Evaluate emerging DRAM technologies and analyze their impact on future product architectures and design tradeoffs. Perform transistor-level simulations and circuit benchmarking using industry-standard EDA tools such as HSPICE and FineSim. Develop and utilize Claude AI-based automation workflows and data analysis processes to improve simulation efficiency and engineering productivity. <li

Job Details: Job Description: The Role and Impact Are you interested in GPU and AI accelerator hardware and want hands-on experience designing and bringing new technology to life? As a GPU & AI Accelerator Hardware Design Undergraduate Intern , you will work alongside experienced engineers developing next-generation GPU and AI accelerator platforms. You will gain practical experience across PCB and board design, power delivery, circuit design, simulation, board bring-up, validation, debugging, and automation. This internship provides an opportunity to apply concepts learned through coursework, labs, research, and technical projects to real-world hardware challenges while collaborating with Intel's cross-functional engineering teams. What You’ll Do Depending on project and team needs, you mayhave the key responsibilities will include but not limited to : Support GPU and AI accelerator board and power design from concept through bring-up and validation. Assist with PCB schematic design, layout, component selection, and Bill of Materials (BOM) development. Learn to troubleshoot challenges involving high-speed board, power, digital, and analog design. Use engineering and simulation tools such as Cadence, Sigrity, SIMetrix, Mathcad, MATLAB, PowerDC, or similar tools. Participate in board bring-up, characterization, validation, and hardware debug. Use laboratory equipment such as oscilloscopes and thermal measurement equipment and support soldering/rework activities. Assist with evaluating power requirements and power-delivery solutions for GPU and AI accelerator designs. Develop or improve test methods and use Python or other scripting languages to automate measurements and data collection. Gain exposure t

The Zoox 3D Sensor Simulation team’s work is at the core of creating in-the-loop simulation and high fidelity synthetic data for training and testing autonomous vehicle AI. We are looking for a machine learning professional with experience applying ML to sensor data, such as LiDAR, radar, and cameras. This role lies at the intersection of machine learning and 3D simulation at Zoox, ranging from learned sensor models to neural 3D reconstruction. By improving the realism of simulated sensors (lidar, radar, and cameras), you’ll enable the Zoox robotics autonomy stack to learn, improve, and enhance the mobility of humans. In this role, you will: Design, train, and validate ML models that improve the realism of simulated lidar, radar, and camera data in autonomous vehicle (AV) simulation pipelines. Collaborate with Synthetic Data and HIL Sim teams to integrate 3DGS and NeRF-based 3D reconstruction with simulation of all sensor modalities. Build and curate training datasets from real and simulated sensor data, including GenAI-based data augmentation. Partner with Sim V&V and Perception engineers to define sensor realism metrics and close the sim-to-real gaps with the greatest impact on autonomy. <li style="font-size: 11pt; font-family: Ar

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is seeking a GNC Engineer, Modeling & Simulation to design, build, and maintain high-fidelity aircraft simulation environments in support of Guidance, Navigation, and Control (GNC) development. You will be responsible for realizing equations of motion in software, developing and validating aerodynamic and plant models, and creating the simulation infrastructure required for both software-in-the-loop (SITL) and hardware-in-the-loop (HITL) testing. This role is ideal for an engineer who thrives at the intersection of physics-based modeling, software development, and systems integration. You’ll collaborate closely with aerodynamicists, controls engineers, and hardware teams to ensure Mach’s autonomous platforms are accurately modeled and rigorously tested before flight. Key Responsibilities Develop and maintain high-fidelity flight dynamics and vehicle simulation models. Implement equations of motion in C++ and Python for real-time and offline simulation environments. Collaborate with the aerodynamics team to incorporate aerodynamic models derived from CFD and wind tunnel testing. Perform system identification and parameter estimation to generate accurate plant models. Build and sustain simulation infrastructure supp

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is building autonomous systems that must be thoroughly tested and validated in a multi layered process, long before they are flown. As a Senior Software Engineer, Infrastructure & Simulation, you will build the simulation and validation infrastructure that enables rapid iteration and high confidence in real-world performance. Your work will sit at the foundation of our autonomy stack, powering Monte Carlo, software-in-the-loop (SITL), hardware-in-the-loop (HITL) and large-scale simulations across Mach product lines. Key Responsibilities Design, build, and maintain simulation and validation infrastructure for aircraft systems, including discrete simulations of avionics, sensors, power distribution, flight controls, and embedded software. Develop and operate Software-in-the-Loop (SITL) and Hardware-in-the-Loop (HITL) frameworks to support rapid development, regression testing, and system validation across flight autonomy and embedded stacks. Build software infrastructure to emulate bare-metal drivers, avionics peripherals, and aircraft system behaviors, enabling early validation, fault injection, and failure-mode testing. Create and scale automated test pipelines that integrate simulation and HIL into CI/CD workflows to continu