Simulation Engineer Jobs

ABOUT KHAN ACADEMY Khan Academy is a nonprofit with the mission to deliver a free, world-class education to anyone, anywhere. Our proven learning platform offers free, high-quality supplemental learning content and practice that cover Pre-K - 12th grade and early college core academic subjects, focusing on math and science. We have over 155 million registered learners globally and are committed to improving learning outcomes for students worldwide, focusing on learners in historically under-resourced communities. OUR COMMUNITY Our students, teachers, and parents come from all walks of life, and so do we. Our team includes people from academia, traditional/non-traditional education, big tech companies, and tiny startups. We hire great people from diverse backgrounds and experiences because it makes our company stronger. We value diversity, equity, inclusion, and belonging as necessary to achieve our mission and impact the communities we serve. We know that transforming education starts in-house with learning about ourselves and our colleagues. We strive to be world-class in investing in our people and commit to developing you as a professional. THE ROLE W e are looking for talented software engineers for our 12-week remote Summer 2027 internship program. We currently use: Go, JavaScript (React / React Native, Redux, Flow), Google Cloud Run, GraphQL and other technologies that best solve the problem at hand. Here are some examples of recent projects our interns have done: Speech-to-text with push-to-talk for Khanmigo Rewriting the calculator widget user interface Creating tools for classroom teachers Added PhET Interactive Simulatio ns to our content You can read about our latest work on our Engineering Blog . A few highlights: Incremental Rewrites with GraphQL Our Transition to React Native Go + Services = One Goliath Project How Engineering Principles Can Help You Scale How to upgrade hundreds

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 include, but are not limited to · Responsible for the architecture, design, implementation, and validation of analog and mixed-signal circuits used in NAND Flash across the complete design lifecycle. · Design and develop circuits such as charge pumps, amplifiers, voltage regulators, data converters (ADC/DAC), bandgap references, sensor interfaces, and power-management blocks. · Translate system-level requirements into detailed circuit specifications, architectures, schematics, verification plans, and clear design documentation. · Perform transistor-level design and optimization to meet performance, power, area, noise, and reliability targets. · Conduct DC, AC, transient, noise, Monte Carlo, and corner simulations to verify functionality and robustness across process, voltage, and temperature variations. · Validate block- and chip-level design performance using standard industry simulators, including evaluation of parasitic effects and integration quality. · Participate in cross-functional evaluation of key NAND features and collaborate with Product Engineering, Test, Probe, Process Integration, Assembly, and other partner teams. · Analyze design and silicon issues, drive root-cause analysis, and implement robust corrective actions. · Coordinate technical activities for a small team when required, including design reviews, execution tracking, and knowledge sharing. · Deve

Join our multidisciplinary team and help build and improve GPU and CPU accelerated data processing software libraries. Projects like DALI or nvImageCodec are used in all kinds of processing workflows and support NVIDIA's vision and growth. Starting from powering AI, data analytics, image processing, computer vision, and scientific simulations for leading commercial and academic organizations worldwide. In this role, you will design, develop, and optimize pioneering algorithms. Ideal candidates will have experience with accelerated computing and a passion for advancing the state-of-the-art in various computing domains. If this sounds exciting, we would love to meet you! What you’ll be doing: Developing scalable library software using modern tools and languages for various numerical method. Performance tuning, optimization, and benchmarking of algorithms on various architectures. Working closely with leadership team and other internal and external partners to understand feature and performance requirements and contribute to the technical roadmaps of libraries. Providing technical leadership and guidance to library engineers working with you. Find opportunities to improve user experience and library performance. What we need to see: PhD or MSc’s degree in Computational Science, Computer Science, Applied Math, or related science or engineering field of study is preferred (or equivalent experience). 5+ years experience developing, debugging, and optimizing high-performance parallel numerical applications on modern computing platforms, with GPU acceleration using CUDA. C/C++ programming and software development skills. Proven experience in leading and completing software development projects. Strong collaboration, communicati

Autonomous vehicles have some of the largest, most complex software ever shipped in a safety-critical environment. Solving that problem is one of the most exciting technical challenges of our lifetime. As a Systems Test Engineer on our System Behavior Analysis Autonomous team, you will play a critical role in the development of Zoox's autonomous platform, working with a broad set of engineering teams across Zoox. You will help triage and root cause the issues identified during testing and real-world operations. You will also produce reports and insights that inform leadership on the overall quality and influence of engineering decisions. Your ability to distill complex systems and root cause issues will be crucial to producing a safe and stable vehicle platform. In this role, you will: Utilize data analytics to analyze and diagnose a wide range of system faults and errors related to perception, planner, and other AI software from both on-road testing and system simulations. Effectively categorize and prioritize issues based on severity, urgency, and potential impact on safety and performance by working collaboratively with cross-functional teams (engineering, software, testing). Identify trends in system failures and propose preventative measures to improve overall system safety and robustness by producing clear and concise reports of system issues, troubleshooting steps, and root cause analysis. Be hands-on, lead by example, and develop tools and workflows to drive improvements for both quality and quantity aspects of the triage. Demonstrate operational agility by quickly adapting to changing priorities, managing multiple tasks simultaneously, and implementing effective solutions in dynamic environments. Qualifications Bachelor's or Masters degree in Computer Science or STEM-related field Minimum of 5 years of experience in systems troubleshooting and diagnostics, preferably in the automotive or em

Power Electronics Hardware Engineer Location: Liberty Lake, WA Infinitum is a cutting-edge company committed to pushing the boundaries of innovation in the realm of motors and motor drive systems. Our mission is to deliver sustainable and efficient power solutions that redefine industry standards. We are currently seeking a highly skilled and experienced Power Electronics Engineer to lead our power electronics design and development initiatives. Position Overview: As a Power Electronics Engineer at Infinitum, you will be responsible for the design, development, and optimization of power electronics systems. This role demands a deep understanding of power conversion technologies, a track record of successful product development, and the ability to work with a team of engineers to deliver high-performance solutions. Responsibilities: Power Electronics Design: Design and develop advanced power electronics systems, including converters, inverters, and power supplies, from concept to production. Emphasis on Variable Frequency Drive development and Active Front Ends. System Optimization: Optimize power electronics systems for efficiency, reliability, and performance. Conduct thorough analysis and simulations to validate designs. New Technology Evaluation: Stay abreast of emerging technologies and industry trends in power electronics. Evaluate and integrate new technologies that enhance product performance. Prototyping and Testing: Oversee the prototyping and testing of power electronics systems. Collaborate with cross-functional teams to ensure seamless integration with other system components. Regulatory Compliance: Ensure that power electronics designs comply with relevant industry standards and regulations. Work closely with certification engineering team for certifications as needed. Collaboration: Work closely with cross-functional teams, including hardware and software engineers, to integrate power electronics solutions into overall product architectures. Doc

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do. What You’ll Do: Conduct red and purple team engagements simulating advanced threat actors across our cloud infrastructure, endpoints and bare metal deployments. Penetration test specific, high value deployments. Contribute to AI-assisted security testing tooling and workflows. Work cross functionally with other security and engineering teams, particularly on AI-specific attack scenarios. Document and present findings to technical and executive audiences, translating attack narratives into actionable risk insights that inform security roadmaps. Who You Are: 5+ years of hands-on experience in red teaming and offensive security operations Deep expertise in at least two of: macOS security, Linux Security, Cloud security (GCP/AWS/Azure), Kubernetes, CI/CD pipelines Track record of discovering novel attack vectors and chaining vulnerabilities creatively Experience conducting adversarial simulations against well-defended environments Strong engineering skills (Python, Go, or similar) Ability to write clear findings that drive action, helping teams understand risk and prioritize fixes Collaborative approach, working in close collaboration with the blue team Strong candidates may also have experience with:

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. 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 solu- tions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. 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. The Central Engineering organization plays a critical role in enabling Micron’s custom memory and storage design teams through advanced design automation, workflow innovation, and engineering productivity solutions. Our high-achieving NAND Enablement Team is primarily focused on supporting and developing design environment. Team members collaborate with CAD engineers and designers on many sites working on all Micron product types. We are seeking a talented CAD engineer specialized in analog and digital simulations to join our team in Italy. As a CAD senior engineer, you will play a pivotal role in optimizing and simulating complex analog and digital circuits, contributing to the development of state-of-the-art products that shape our industry. You will get a chance to develop the industry's first and unique flows to enhance productivity and reduce pre-silicon failures. Responsibilities: Innovating to develop tools, flows, and methodologies to increase th

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. What’s Encouraged Daily: AI-First Engineering: Deploy AI tools (LLMs, code/RTL generation, spec parsing, waveform interpretation, layout engines) as default practice. Continuously identify automation opportunities and rearchitect workflows—specs, simulations, reviews, hand-offs—to be AI-consumable. Build prompt libraries, agents, and scripts that eliminate recurring manual patterns! AI Leadership: Champion AI adoption by evaluating emerging tools, running pilots, and publishing standard methodologies that measurably reduce cycle time or prove quality! Technical Ownership: Design and verify major IO/datapath blocks (receivers, serializer, clock distribution, equalizers, ZQ calibration, ONFI training, wave pipelines) to meet performance specs, using AI to accelerate exploration, sizing, and verification. Multi-functional Collaboration: Work with integration, design, and Apps teams to define interfaces and evaluate new specifications. Use AI to summarize discussions, reconcile specs, and quantify trade-offs. Mentorship: Document AI-augmented methodologies and teach engineers to work in an AI-first environment—not just which tools to use, but how to rethink engineering with AI. Minimum Qualifications: BS/MS in Electrical Engineering with 8+ years IC design experience Hands-on AI tool usage (LLM assistants, coding copilots, agentic workflows, ML-based EDA) with concrete examples of productivity or design impact Experience redesig

itD is seeking a Verification Engineer to support the development and verification of next-generation System-on-Chip (SoC) solutions. The ideal candidate will have 5–12 years of design verification experience with expertise in UVM, SystemVerilog, and ASIC/SoC verification, along with a proven ability to deliver high-quality silicon solutions. Location: 100% onsite in Allentown, PA or Carlsbad, CA . Pay Rate: PA: $34.00–$34.20/hr | CA: $41.00–$41.40/hr, depending on experience. We provide comprehensive medical benefits, a 401(k) plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities: Develop and maintain UVM-based verification environments for ASIC/SoC designs. Create and execute block- and system-level verification plans. Design verification components, including assertions, agents, traffic generators, and scoreboards. Partner with cross-functional engineering teams to define verification strategies and improve design testability. Debug and resolve complex design and verification issues throughout the development lifecycle. Perform timing and gate-level simulations to validate design functionality. Support post-silicon bring-up through C-based firmware development and verification activities. Internal Responsibilities: Attend regular internal practice community meetings. Collaborate with your itD practice team on industry thought leadership. Complete client case studies and learning material (blogs, media material). Build out material to contribute to the Digital Transformation practice. Attend internal itD networking events (in person and virtual). Work with leadership on career fast-track opportunities. Required Qualifications and Skills: Bachelor's degree in Electrical Engineering or a related field. 5–12 years of ASIC or SoC design verification experience. Strong experience developing UVM-based testbenches. Proficiency with SystemVerilog. Experience

JOIN OUR TEAM As a Product Engineer Customisable Furniture , you will play a key role in the development of our future Westwing Collection products, with a focus on our new customisable and modular furniture systems. You will work closely with our Buying and Creative teams to help bring our latest ideas to life, ensuring that the furniture we are developing meets our high standards and delights our customers for many years to come. You will bridge the gap between design and manufacturing, taking ownership for the structural integrity, material selection, and technical execution of our configurable ranges from initial concept through to final production. This position is permanent and based in Munich . WHAT YOU'LL DO Translate design concepts from our creative team into detailed 3D CAD models, technical drawings, and precise product specifications for suppliers, focusing on new modular and customisable furniture systems Lead technical decision-making by selecting materials, finishes, and manufacturing processes that balance premium aesthetics with structural integrity, production feasibility, and multi-variant complexity Drive technical discussions with external suppliers to define product requirements, review manufacturing feasibility, and resolve production or quality issues across both standard and modular product lines Perform structural simulations and hands-on prototype reviews to ensure that all final products, including our customisable ranges, meet European safety, quality, and regulatory standards, paying particular attention to how components perform across different configurations Define and develop core modular components to ensure seamless configuration logic across the entire product range for all customer orders YOU COME WITH 3+ years of experience in product development, with a degree in Mechanical or Product Engineering (or similar) and exposure to modular/configurable systems Proficiency in 3D CAD software (e.g., SolidWorks, Fusion, CATIA, NX) for

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We are seeking a Senior Software Engineer to join a customer-facing product engineering team focused on developing advanced Command and Control (C2) and Agentic Autonomy Software for Autonomous Systems for use in operational and tactical missions. This role involves building, integrating, and deploying state-of-the-art software solutions that combine sensors, actuators, unmanned vehicles, and intelligent decision-making systems including self-hosted and commercial LLMs to enable users to employ and manage robotic and autonomous systems across a variety of mission sets. You will work alongside other experts in sensing, artificial intelligence, physics and simulations, user experience, and edge system engineering to build and deliver solutions that redefine complex military and civilian mission scenarios in the real world. As a part of this team, you will contribute directly to the development of cloud and edge software to command and control autonomous systems, including interfacing with onboard sensors (radar, cameras, RF, and other modalities) and real-time kinetic and non-kinetic systems for individual and swarms of systems. You will work alongside other experts in sensing, artificial intelligence, and systems engineering to shape solutions that redefine complex area defense scenarios. Core Responsibilities Design, implement, and optimize software for mission-critical autonomous systems using modern technologies and methodologies Develop algorithms to process data from heterogeneous sensors for real-time state estimation and threat detection Build LLM and AI-driven systems capable of assessing threats and rapidly making decisions t

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We are seeking a Senior Software Engineer to join a customer-facing product engineering team focused on developing advanced Command and Control (C2) and Agentic Autonomy Software for Autonomous Systems for use in operational and tactical missions. This role involves building, integrating, and deploying state-of-the-art software solutions that combine sensors, actuators, unmanned vehicles, and intelligent decision-making systems including self-hosted and commercial LLMs to enable users to employ and manage robotic and autonomous systems across a variety of mission sets. You will work alongside other experts in sensing, artificial intelligence, physics and simulations, user experience, and edge system engineering to build and deliver solutions that redefine complex military and civilian mission scenarios in the real world. As a part of this team, you will contribute directly to the development of cloud and edge software to command and control autonomous systems, including interfacing with onboard sensors (radar, cameras, RF, and other modalities) and real-time kinetic and non-kinetic systems for individual and swarms of systems. You will work alongside other experts in sensing, artificial intelligence, and systems engineering to shape solutions that redefine complex area defense scenarios. Core Responsibilities Design, implement, and optimize software for mission-critical autonomous systems using modern technologies and methodologies Develop algorithms to process data from heterogeneous sensors for real-time state estimation and threat detection Build LLM and AI-driven systems capable of assessing threats and rapidly making decisions t

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers who are energized by the opportunity to reinvent how they work. The Cortex Apps team is building the future of AI for enterprise data, and this role focuses on the backend infrastructure that powers our flagship products like Snowflake Intelligence, Cortex Agents, and Search. You won't just be using AI tools; you will be building the high-performance systems that orchestrate them, making agentic AI fast, reliable, scalable, and secure at the enterprise level. What you will do in this role: Build Agentic Runtimes: Help build and scale the orchestration engines that execute complex agentic workflows, ensuring low-latency tool execution and robust state management. Scale Context Engineering Infra: Develop and design high-performance systems for RAG (Retrieval-Augmented Generation), including vector database integration, scalable search indexing, query processing, and semantic caching. Develop the "Evals Engine": Build the automated infrastructure required to run massive-scale golden set simulations, error analysis pipelines, and experiments. Productionize AI Workflows: Collaborate with the modeling team to take raw LLM capabilities and turn them into hardened,

About Us: Samara Aerospace is revolutionizing satellite design by addressing the challenges of deploying and managing large satellite constellations. Our innovative Hummingbird spacecraft bus offers a modular and scalable platform that streamlines satellite production and deployment, significantly reducing launch costs. Hummingbird's compact architecture maximizes launch capacity, making it the most efficient and agile spacecraft in the industry. At the core of our technology is the patented Multifunctional Structures for Attitude Control (MSAC) system. Unlike traditional wheel-based pointing control systems, MSAC utilizes actuators embedded in the hinges of deployable solar panels to provide 3-axis attitude control and active jitter cancellation. This design eliminates the need for spinning wheels, reducing mass and potential points of failure, while enhancing pointing precision. Role: Samara Aerospace is seeking a Senior RF Engineer to join our growing engineering team. In this role, you will own the full lifecycle of RF systems development—from requirements definition and architectural trade studies through design, fabrication, test, and qualification. You will collaborate closely with electrical, mechanical, thermal, software, and systems engineering teams to develop high-performance RF solutions in a fast-paced, mission-driven environment. Responsibilities: Lead architectural R&D efforts for new RF communications and payload subsystems by conducting trade studies and establishing requirements Develop and maintain RF system models and simulations, perform end-to-end link budget analysis, noise and linearity cascades, and interference/co-existence assessments to validate system performance margins across operating conditions. Drive the full hardware development cycle from bench prototype through design validation and qualification testing. Defining test plans, executing characterization campaigns, and documenting results to demonstrate compliance with

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