Lead Modeling And Simulation Engineer Jobs

Scale is accelerating the development of AI across the world's most important organizations, including the U.S. Department of War (DoW), its constituent services, and the broader U.S. National Security industry. The Product Manager, Public Sector will lead Scale's product efforts across two connected focus areas — military planning and real-time AI and Alerting (LUX) — shaping real production outcomes and translating messy operational reality into high-signal input for the core platform. This is not a roadmap PM, a CSM, or a solutions engineer. This PM owns product outcomes for a cross-cutting portfolio of AI and data capabilities: earning deep trust with senior military, civilian, and mission stakeholders, driving deployments to production inside classified and operationally constrained environments, identifying where the product is the bottleneck vs. execution, and feeding durable, specific signal back to Scale's platform team. The best candidates have shipped AI or real-time data products into defense or other large, security-constrained organizations and can tell the difference between a customer's stated request, their actual problem, and what the platform should do. What You'll Do Own product outcomes across Scale's military planning portfolio and/or its highest-impact national security accounts for LUX, spanning multiple DoW and National Security stakeholders and use cases. You are the accountable PM for product delivery and customer value. Translate operational reality into high-signal product input for engineering and platform teams — specific, evidence-backed product perspective with tradeoffs articulated, not requirements docs. This includes military planning workflows (e.g., the Joint Planning Process) and modeling/simulation requirements (e.g., AFSIM), as well as real customer workflows, latency/throughput constraints, and mission priorities for LUX. Build trusted advisory relationships with senior military leaders (flag/general officer and senior civil

We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable. We’ve created our vehicle specifically for dense, complicated urban environments. Zoox is the only driving vehicle on the market with bidirectional driving capabilities and four-wheel steering, allowing us to maneuver through compact spaces and change directions without the need to reverse. The future is for riders! Our growing Perception team is searching for an Engineering Manager for the Perception Occupancy and Rare Events team. Our perception stack is responsible for building Zoox’s world-class 3D environment model from multi-modal sensor data. We create novel AI architectures that combine the latest academic results with many in-house innovations in creative ways. Our algorithms are relentlessly optimized and tuned to run efficiently and effectively on a wide variety of real-life data as well as in simulation. You will be responsible for leading high-impact Perception teams with their technical roadmap and milestone goals. You will be closely collaborating with other AI teams including Simulation, Sensor and Hardware, and Systems Design and Mission Assurance teams to deliver an exceptional objects occupancy perception system encompassing modalities such as vision, lidar, radar and long-wave IR. You will lead a diverse, experienced team with a rapidly growing scope and responsibility while also working on some of the most complex problems in artificial intelligence, perception, and sensor fusion. In this role, you will: Lead Technical Strategy: Build and lead a team of managers and engineers responsible for core occupancy modeling and rare event detection, driving the team’s roadmap, productivity, and execution. Drive Model Evolution: Own the development and deployment of critical perception models, overseeing the consolidation of multi-modal architectures and guiding technical design to enhance detection range, rob

At NVIDIA, our Senior DFT Engineers lead the way in silicon test innovation, ensuring flawless execution and outstanding quality in our next-generation silicon platforms. This is an outstanding opportunity to join a world-class team and make a significant impact in the semiconductor industry! What You'll Be Doing: Design and roll out advanced test methodologies on NVIDIA’s next-generation silicon platforms. Own and work with cross-functional teams to implement the latest in test access mechanisms, IO BIST, memory BIST, and scan compression. Collaborate closely with VLSI and Product Engineering groups to design innovative DFT approaches that advance silicon test technology. Lead end-to-end planning and timely execution of NVIDIA's new chip bring-up efforts, from pre-silicon through production deployment. Develop and standardize methodologies, processes, and workflows for silicon bring-up, crafting reusable checklists and playbooks. Improve cross-team communication, work, and handoffs. Guide and mentor junior engineers, helping them navigate complex build trade-offs to achieve world-class quality and efficiency. What We Need To See: BSEE (or equivalent experience) with 5+ years, MSEE with 3+ years, or PhD in DFT or related domains. Demonstrated knowledge and expertise in defining scan test plans, BIST including memories and IOs, fault modeling, ATPG, and fault simulation. Excellent analytical skills in verification and validation of test patterns and logic on complex and multi-million gate builds using vendor tools. Experience in silicon debug and bring-up with an understanding of pattern formats, failure processing, and test program development. Strong programming and scripting skills. Excellent written and or

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. As a Photolithography Engineer at Micron, you will be responsible to tackle critical lithography scribe challenges for memory devices. In this position, you will be responsible for supporting work for the photolithography team. This includes modeling to support optical simulation related to scribe mark, provide mark design recommendations, identifying root causes for sophisticated problems, and providing simulation training for other photolithography engineers. You will also define and lead projects to address photolithography performance gaps on current and future memory and storage nodes. Responsibilities include, but are not limited to: Understand the technology challenges with respect to overlay and establish project plans to address them for the N, N+1, and N+2 nodes. Work with vendor applications teams to find areas for overlay scribe improvement. Drive technical innovation in your area of expertise as a recognized Micron expert in your field. Standardize methods and procedures across area, department and/or FABs. Define and lead sophisticated, multi-disciplinary projects that are essential to Micron’s photolithography roadmap. Help to craft strategic decisions. Work with process development engineers on issues and projects related to photolithography. Summarize plans, progress to experimental work, and conclusions in the form of written reports. Provide advice and counsel to senior management on technical issues related to overlay scr

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. As a Photolithography Engineer at Micron, you will be responsible to tackle critical lithography scribe challenges for memory devices. In this position, you will be responsible for supporting work for the photolithography team. This includes modeling to support optical simulation related to scribe mark, provide mark design recommendations, identifying root causes for sophisticated problems, and providing simulation training for other photolithography engineers. You will also define and lead projects to address photolithography performance gaps on current and future memory and storage nodes. Job Description Responsibilities include, but are not limited to: Understand the technology challenges with respect to overlay and establish project plans to address them for the N, N+1, and N+2 nodes. Work with vendor applications teams to find areas for overlay scribe improvement. Drive technical innovation in your area of expertise as a recognized Micron expert in your field. Standardize methods and procedures across area, department and/or FABs. Define and lead sophisticated, multi-disciplinary projects that are essential to Micron’s photolithography roadmap. Help to craft strategic decisions. Work with process development engineers on issues and projects related to photolithography. Summarize plans, progress to experimental work, and conclusions in the form of written reports. Provide advice and counsel to senior management

This is a core backend software engineering role (70% SWE / 30% Data) within our Mapping organization. You will focus primarily on building high-throughput services, distributed system architecture, and APIs, while leveraging large-scale spatial data to power Lyft's routing and mapping products. Note: This position focuses on backend service architecture and platform scalability rather than traditional ETL, BI, or data modeling pipelines. At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As a Senior Software Engineer, Data on the Mapping team, you will collaborate with our world-class team of engineers, product managers, and scientists to grow and improve the quality of recommended routes and accuracy of our travel time estimations. You will lead the architecture and long-term technical direction of our offline experimentation tooling and route simulation services — the systems that let Lyft test routing changes safely before they reach production. You'll also build scalable data pipelines for experimentation, analytics, and machine learning models, along with the data governance and observability systems that keep them trustworthy. Your work will enable integration with partner teams and allow stakeholders across Engineering, Data Science, and Product to make data-informed decisions that directly impact Lyft’s growth and profitability. Our technology stack is based on the latest technologies such as AWS, Databricks, Kubernetes and Airflow. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that directly impact millions of riders and drivers. Responsibilities Own core data pipelines end-to-end, building deep subject matter expertise in the systems you manage and defining/managing SLAs for pipelines, services, and datasets to ensure reliability at scale Serv

Systems Technology Inc. (STI) is a private, employee-owned company (ESOP) that provides engineering consulting and product development with a focus on safety. We are a small company that enjoys many of the perks of start-ups, but we have been in business for over sixty years and have an aggressive growth plan. Being part of STI means being a key contributor in the company while working with a team that spans the range of experience from recent graduates to 20+ year tenure. At STI, we look for business partners who want to be part of something special and contribute to a culture built on transparency, friendliness, innovation, ownership and accountability. If you are of a like mind and enthusiastic about solving challenging, real world, relevant problems, we would love to hear from you. As a 100% employee-owned company, STI understands that employees' individual and collective hard work and dedication will lead directly to the success of the company in the long term. An Employee Stock Ownership Plan (ESOP) gives employees an ownership interest in the company that employs them. What You’ll Do: The Principal Research Engineer executes a variety of highly specialized/technical, business development and leadership activities. This individual provides advanced expertise in the areas of modeling, simulation and/or flight control. This person submits government proposals and is involved in commercial client outreach via networking at conferences and meetings. In addition, this person is responsible for leading commercial consulting contracts. The Principal Research Engineer also manages multiple contracts that involve tracking budgets, ensuring successful deliverables, and managing junior engineers. This person actively engages in company process development and participates in BD related activities. This individual may supervise, and mentor select staff engineers. Will report to the Director of Engineering Services. Supports determining top level technical direction

Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise. Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members. What you’ll do: Perform Simulation / Modeling of HV, LV, and communication EMC emissions and susceptibility Perform design for survivability under ESD and lightning strike Determine EMC filter designs and critical component specifications Work closely with mechanical, electrical, power, controls, and PCB engineers to meet EMC goals Work closely with vendors to realize EMC filter hardware Manage Y-capacitor budget allocations to optimize filter designs and to meet EMC emission targets as well as vehicle level SWaP-C goals Generate EMC test procedures, equipment list, setup EMC lab, and perform / document EMC test results Create and manage budgets for leakage resistance, Y-capacitance, and X-capacitance Lead module / subsystem / vehicle integration troubleshooting efforts What you need: BS Degree in Electrical Engineering with 11 years or MS Degree with 9+ years or PhD with 7+ years of experience in related fields Sound knowledge and hands-on experience in HV, LV, and communication bus architecture covering safety and functional requirements Familiarity with battery, power electronics, charging, and typical exposures anticipated for aerospace systems Experience in performing modeling of EMC systems in circuit simulation tools (spice, Matlab/Simulink, etc.) Familiarity with power electronic controls methods t

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role We are looking for an electrical engineer to own the end-to-end power architecture of our next-generation portable devices. You will be responsible for ensuring our products are safe, efficient, and long-lasting. From selecting the right battery chemistry to fine-tuning PMIC registers and creating complex power models, you will ensure every milliwatt is accounted for. Responsibilities Power Architecture: Define the power distribution network (PDN) and select key components, including PMICs, chargers, fuel gauges, and protection ICs. Battery Management: Lead the selection, characterization, and safety validation of Li-ion/Li-poly battery cells. Power Modeling & Simulation: Develop detailed power models to predict battery life across various user scenarios (idle, peak load, standby). Charging Systems: Design and optimize wired (USB-C PD) and/or wireless charging circuits, ensuring thermal stability and fast-charging compliance. Efficiency Analysis: Conduct bench-level efficiency measurements for DC-DC converters (Buck, Boost, LDO) and optimize firmware settings for peak performance. Peak Power Management: Develop power model and management strategy to overcome system brownout. Regulatory Compliance: Ensure power designs meet globa

Software Engineering Manager, Vertical Lift Company: The Boeing Company The Boeing Company is looking for a Software Engineering Manager to join our Vertical Lift software team located in Ridley Park, PA . As a part of our dynamic team, you will have the opportunity to creatively solve complex technical problems on multiple Boeing programs, including the V-22 Osprey, the H-47 Chinook , and other Vertical Lift and aerospace platforms. As a Software Engineering Manager at Boeing, you will lead and support a diverse team of software development engineers. This is a unique opportunity to manage full lifecycle software development for the most sophisticated military and commercial platforms in the world. The successful candidate will lead a software engineering team responsible for software and test development for a Vertical Lift platform. Our teams develop mission, vehicle, and flight control software, as well as modeling, simulation, testing, and analysis, for the V-22 Osprey and H-47 Chinook aircraft. We also support software projects throughout The Boeing Company. Responsibilities include integrating team activities with the other Integrated Product Teams (IPTs) and across numerous programs; managing successful projects, day-to-day work assignments, staffing, personnel development, skills management, and team training. The lifecycle of the team’s products spans all activities from proposal development through aircraft fielding and resolution of field issues. Additional responsibilities include maintaining overall tools and processes, supporting ongoing process improvements, and coordinating software customer interface. The manager also provides oversight of technical issues/s

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. Responsibilities will include, but are not limited to ESD Architecture Leadership & Strategy Define and own ESD architecture and protection strategy for high-speed I/O portfolios including: HBM (High Bandwidth Memory) / DDR / LPDDR PHY I/Os PCIe, USB, Ethernet, MIPI, and proprietary interfaces Lead ESD–I/O co‑design trade‑off decisions, balancing: Aggressive ESD targets (HBM / CDM / MM).Ultra‑low capacitance and leakage requirements Eye margin , jitter , bandwidth , return loss, and impedance matching Drive architectural choices for: Snapback clamps, rail clamps, diode steering networks. Triggered and advanced ESD devices (technology‑dependent). Domain isolation and sequencing protection for sophisticated SoCs Advanced Circuit Design, Modeling & Signoff : Perform and guide ESD circuit design and analysis at block and full‑chip level. Establish simulation methodologies for: Transient ESD stress (TLP‑equivalent behavior). Dynamic clamp triggering and current handling. I/O performance impact (cap loading, ringing, overshoot/undershoot. Own ESD modeling correlation: Work with device/modeling teams on compact models (dynamic R, triggering, CV behavior). Drive correlation between SPICE simulations, TLP/VF‑TLP, and silicon results. Act as the final technical authority for ESD Design reviews and signoff. Silicon Debug, Reliability & Qualification Ownership : Lead silicon-l

Mission Systems Engineers (Associate or Experienced) Company: The Boeing Company Boeing Defense Space & Security (BDS) has an exciting opportunity for Mission Systems Engineers (Associate or Experienced) to join our Experimental Systems Group (ESG) located in Seal Beach, CA; with options to work from Aurora, CO or El Segundo, CA ; to support development of new first-of-kind space vehicles and missions. ESG supports a variety of government customers spanning technology domains, and is an extremely fast-paced, responsive development environment delivering new capabilities to customers rapidly and affordably. The ESG portfolio consists of a range of platforms and technologies including the X-37B, the world’s first fully autonomous reusable spaceplane, which is continuing to shape the future of space technology while flying its eighth mission. As a mission systems engineer, you will be expected to lead modelling and simulation efforts and enable your assigned programs’ development from early capabilities studies through demonstration. You will serve as a core point of contact for customers and will work directly with subject matter experts across the business to quickly iterate and converge on achievable solutions that meet our customers’ needs. Our development timelines are aggressive, and you will be asked to develop solutions to previously unsolved problems. In this role, you will work in multidisciplinary teams to bring concept of operations to fruition in support of our customers’ mission objectives. You will work both as an individual contributor and as a product lead. An ideal candidate has a strong technical background across all spacecraft subsystems with particular depth in Attitude Control Systems (ACS)/Guidance Navigat

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with architecture, infrastructure, and vendor teams to evaluate system performance and guide critical design decisions. Our team focuses on building and applying performance modeling frameworks to understand system behavior, quantify tradeoffs, and support next-generation infrastructure design. About the Role We are seeking an Performance Modeling Engineer to support the development and application of modeling tools used to evaluate AI system performance and inform architectural decisions. In this role, you will partner closely with Senior Performance Modeling Engineers and the Performance Modeling Lead to analyze system behavior, run simulations and analytical models, and help evaluate tradeoffs across compute, memory, networking, and storage. You will contribute to building modeling frameworks while developing a strong foundation in system architecture and AI infrastructure. This role is ideal for early-career engineers with 1–2 years of experience in software engineering, systems analysis, or performance modeling who are excited to grow in large-scale infrastructure and hardware/software systems. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. Key Responsibilities Support the development and maintenance of performance modeling tools and frameworks Assist in building models to evaluate system behavior across compute, memory, networking, and interconnect subsystems Help analyze distributed system scaling behavior and identify performance bottlenecks Run simulations and analytical models to support architecture and infrastructure decisions Partner with senior engineers to evaluate design tradeoffs across hardware and system components Interpret modeling outputs and help translate findings into clear recommendations Vali

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with architecture, infrastructure, and vendor teams to evaluate system performance and guide critical design decisions. Our team focuses on building and applying performance modeling frameworks to understand system behavior, quantify tradeoffs, and inform next-generation infrastructure design. About the Role We are seeking Performance Modeling Engineers to develop and apply modeling tools that evaluate AI system performance and inform architectural decisions. In this role, you will work closely with the Performance Modeling Lead and partner teams to analyze system behavior, run simulations or analytical models, and help quantify tradeoffs across compute, memory, networking, and storage. You will contribute to building modeling frameworks and applying them to real-world questions that impact system design and vendor decisions. This role is well-suited for engineers with strong software or modeling backgrounds who are interested in developing deeper expertise in system architecture and AI infrastructure. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. Key Responsibilities Develop and maintain performance modeling tools and frameworks. Build models to evaluate system behavior across: compute, memory, and interconnect subsystems distributed system scaling and bottlenecks. Run simulations and analytical models to support architectural tradeoff analysis. Collaborate with performance modeling lead and system architects to answer forward-looking design questions. Analyze and interpret modeling outputs, translating results into actionable insights. Validate models against real system measurements and workload behavior. Contribute to improving modeling fidelity, usability, and scalability. Qualifications Strong software engineeri

About the Job Turn complex AI workload signals into faster, more efficient systems at data center scale. As a Senior AI Performance Engineer, you will analyze and optimize AI training and inference workloads across large-scale distributed systems. Your work will connect compute, memory, communication and software behavior. You will own complex performance investigations from problem definition through validation. You will turn profiling, benchmarking and modeling results into improvements engineers can build from. You will design benchmarks, investigate system bottlenecks and optimize distributed communication software across technologies such as MPI, NCCL, UCX and RDMA. Your work will help Graphcore deliver efficient, reliable AI systems for large-scale deployment. This role gives you rare scope across hardware, software, networking and system architecture. It is based in Austin, Texas. The team and culture The System Engineering Performance team architects, evaluates and optimizes high-performance infrastructure for large-scale data center deployments. The team works across the computing stack to understand real system behavior. Work moves through evidence, ownership and clear technical judgment. You will define investigations, coordinate across teams and validate impact with reliable performance data. Decisions are shaped through benchmarks, models, simulations and practical engineering tradeoffs. The team values engineers who think big, act fast, take responsibility, speak up and lead beyond their own area. What we’re looking for · Strong experience profiling and optimizing AI, machine learning or high-performance computing workloads. · Experience with distributed systems and communication libraries such as MPI, NCCL, UCX or libfabric. · Strong C++ and Python skills, including reliable tools or performance-sensitive software. · Deep understanding of compute, memory and communication behavior in large-scale systems. · Ability to own complex technical work and coo