Simulation Engineer Jobs

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 Technology is a global leader in memory and storage innovation, accelerating the transformation of information into intelligence. The High Bandwidth Memory (HBM) Heterogeneous Integration Group (HIG) develops advanced memory solutions that power next-generation Machine Learning (ML), Artificial Intelligence (AI), and high-performance computing applications. Our team brings together experts across design, validation, manufacturing, test, and quality to deliver industry-leading products through a highly collaborative and innovative environment. As a Design Validation Product Engineer, you will play a critical role in the development and validation of next-generation HBM products from design through qualification and high-volume manufacturing. This position provides the opportunity to work at the intersection of semiconductor design, silicon validation, hardware and software debugging, and data analysis while collaborating with multi-functional teams around the world. The level of responsibility will be aligned with a combination of education, experience, and demonstrated technical capabilities. Responsibilities Develop expertise in JEDEC HBM specifications, internal architecture documentation, and HBM design schematics and layouts. Perform silicon validation and characterization of HBM products using laboratory equipment, circuit simulations, debugging techniques, and data analysis. Collaborate closely with Product Engineering, Design, Manufacturing, Test, Quality, and other multi-functional teams to id

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 Technology is a global leader in memory and storage innovation, accelerating the transformation of information into intelligence. The High Bandwidth Memory (HBM) Heterogeneous Integration Group (HIG) develops advanced memory solutions that power next-generation Machine Learning (ML), Artificial Intelligence (AI), and high-performance computing applications. Our team brings together experts across design, validation, manufacturing, test, and quality to deliver industry-leading products through a highly collaborative and innovative environment. As a Design Validation Product Engineer, you will play a critical role in the development and validation of next-generation HBM products from design through qualification and high-volume manufacturing. This position provides the opportunity to work at the intersection of semiconductor design, silicon validation, hardware and software debugging, and data analysis while collaborating with multi-functional teams around the world. The level of responsibility will be aligned with a combination of education, experience, and demonstrated technical capabilities. Responsibilities Develop expertise in JEDEC HBM specifications, internal architecture documentation, and HBM design schematics and layouts. Perform silicon validation and characterization of HBM products using laboratory equipment, circuit simulations, debugging techniques, and data analysis. Collaborate closely with Product Engineering, Design, Manufacturing, Test, Quality, and other multi-functional teams to id

About the Team Codex is OpenAI’s first-party developer product focused on agentic software engineering. We’re building tools that help engineers design, write, test, and ship code faster—safely and at scale. We partner tightly with research and product to translate model advances into tangible developer productivity. About the Role As a Data Scientist on Codex, you will measure and accelerate product-market fit for AI developer tools. You’ll define what “developer productivity” means for our product, run experiments on new coding models and UX, and pinpoint where the model helps or hurts across languages and tasks. Your insights will directly shape how an entire industry builds software. 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 to new employees. In this role, you will Embed with the Codex product team to discover opportunities that improve developer outcomes and growth Design and interpret A/B tests and staged rollouts of new coding models and product features Define and operationalize metrics such as suggestion acceptance, edit distance, compile/test pass rates, task completion, latency, and session productivity Build dashboards and analyses that help the team self-serve answers to product questions (by language, framework, repo size, task type) Diagnose failure modes and partner with Research on targeted improvements (model quality signals, user feedback, evals) You might thrive in this role if you have 5+ years in a quantitative role at a developer-facing or high-growth product Fluency in SQL and Python; comfort with experiment design and causal inference Experience defining product metrics tied to user value Ability to communicate clearly with PM, Eng, and Design—and to influence product direction You could be an especially great fit if you have Strong programming background; ability to prototype, run simulations, and reason about code quality Familiarity with IDE/extensi

Their responsibilities include developing project plans, managing budgets and timelines, conducting site assessments, and providing technical guidance on acoustical materials and solutions. Acoustical Project Managers often perform or review sound measurements and simulations to address issues like noise control, sound insulation, and audio quality. They play a key role in ensuring comfortable, functional, and compliant acoustic environments. They coordinate with engineers, and clients to ensure that acoustical requirements are met throughout the design and construction process.

About the Role OpenAI’s Industrial Compute organization is responsible for ensuring our compute infrastructure scales efficiently to support millions of users and increasingly sophisticated AI models. We’re looking for a Data Scientist to partner closely with Capacity Systems Engineering, Infrastructure, Product, and Research to optimize inference capacity across our global GPU fleet. This role combines statistical modeling, large-scale data analysis, forecasting, and systems thinking to drive critical decisions around infrastructure investments, performance-efficiency trade-offs, and customer experience. You’ll transform complex operational data into actionable insights that directly influence how OpenAI allocates and scales one of the world’s largest AI compute environments. Key Responsibilities Build statistical and machine learning models to profile and improve GPU utilization, latency, throughput, and overall fleet efficiency. Develop forecasting models for inference demand across products, regions, and model families. Analyze production workloads to identify latency bottlenecks and capacity constraints, highlighting optimization opportunities. Partner with Capacity Systems Engineering to inform infrastructure planning and long-term GPU investment strategies. Design experiments and simulations to evaluate scheduling policies, serving strategies, and infrastructure tradeoffs. Build dashboards and operational metrics that enable leadership to make data-driven capacity decisions. Collaborate with Product, Research, Finance, and Infrastructure teams to align compute planning with business growth and model roadmaps. Communicate technical findings clearly to both engineering teams and executive leadership. Qualifications MS or PhD in Statistics, Computer Science, Operations Research, Applied Mathematics, Economics, or related quantitative discipline (or equivalent industry experience). 5+ years of experience working in the infrastructure data science space. Strong ex

NVIDIA Networking is a leading provider of innovative end-to-end InfiniBand and Ethernet connectivity solutions for servers and storage. Our portfolio includes adapter cards, switches, cables, and software designed to optimize Data Center performance with industry-leading bandwidth and scalability. We serve diverse sectors such as high-performance computing, enterprise, cloud computing, and Web 2.0. Our mission is to stay ahead of the market by delivering groundbreaking products and services. Our Ethernet solutions are tailored for industries like Media & Entertainment and any domain that benefits from advanced DataStream and TCP/IP acceleration. What You’ll Be Doing: Lead a team of 8+ mechanical design engineers. Define priorities, create project plans, and allocate resources for mechanical programs in coordination with Product Managers. Drive all electro-mechanical, automated JIG and thermal design aspects, of production test setups, ensure readiness of test and assembly infrastructure for high-volume manufacturing. Develop multiple early design concepts in fast-paced product development cycles. Lead task forces to investigate and resolve production issues, reliability concerns, and conduct failure analysis. Perform risk assessments and implement mitigation strategies during product design. What We Need to See: B.Sc. in Mechanical Engineering or higher. 10+ overall years of relevant experience including 4+ years of experience managing teams of engineers in R&D environment. Proven expertise in developing, testing, and manufacturing of complex automated connection systems with precise moving parts, pneumatic and electro-mechanical systems design. Strong hands-on experience with 3D CAD tools (Creo preferred) static and dynamic mechanical simulation Solid background in designing components and sub systems an

Job Title: Lighting Designer (AutoCAD + DIALux) Location: Jubilee Hills, Hyderabad Key Responsibilities: • Design and plan lighting layouts for commercial, industrial, and architectural projects using AutoCAD and DIALux. • Create photometric calculations, 3D models, and lighting simulations. • Collaborate with architects, engineers, and clients to finalize designs. • Prepare lighting proposals, drawings, and technical specifications. • Ensure designs meet standards and regulations (BIS, IES, etc.). Requirements: • B.E./B.Tech (Electrical/Illumination) or equivalent. • 1-3 years of experience in lighting design (preferably with AutoCAD and DIALux). • Proficiency in lighting calculations, fixture selection, and photometry. • Strong understanding of lighting concepts and design principles. We have 5 openings across Kokapet and Madhapur

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. The US Expansion Construction team is delivering some of the most significant semiconductor capital projects in the United States, including new high-volume manufacturing facilities in Boise, Idaho and Clay, New York. We are building the infrastructure that enables Micron to transform how the world uses information to enrich life for all. Our team partners across engineering, construction, procurement, safety, and operations to deliver complex, schedule-driven projects that support future technology innovation. The US Construction Risk Manager plays a critical role in protecting project outcomes across a portfolio of large-scale construction programs. This position provides leadership in identifying, quantifying, monitoring, and mitigating risk throughout the project lifecycle. The successful candidate will work closely with project stakeholders to drive risk-informed decision making, support project execution, and provide executive-level insight into potential impacts to cost, schedule, safety, quality, and project delivery. Responsibilities: Lead and continuously improve the construction risk management framework, including governance, risk identification, assessment, escalation, and reporting processes Own the program risk register, ensuring risks are quantified, assigned, actively managed, and tracked through closure Conduct quantitative schedule and cost risk analyses, including Monte Carlo simulations, contingency planning, and forecast development Partner with project teams, contrac

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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 role As part of our growing Data Science & Analytics team, you will play an instrumental role in Anthropic's mission of building safe and beneficial AI — this time by driving data-informed decisions across the commercial customer lifecycle. This role sits at the intersection of fast-moving sales operations and rigorous statistical analysis. You will work across multiple segments and products, partnering with analytics engineers, fellow data scientists, and go-to-market leadership to turn complex commercial data into actionable strategy. You will own measurement and analysis for new logo acquisition through activation, expansion, and retention for a rapidly scaling, consumption-based AI platform. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing data science function at a pivotal moment in the company's growth. Key responsibilities Define key metrics, build measurement frameworks, and maintain core reporting to evaluate GTM success across segments and products Analyze commercial and user data to surface actionable insights, size opportunities, and influence roadmaps and go-to-market strategy Develop hypotheses and apply rigorous causal inference methods — controlled experiments, synthetic controls — to make clear, actionable recommendations Investigate anomalies, conduct root cause analyses, and provide data-driven guidance on priorities and decisions Build statistical models, optimization frameworks, and simulations to support and automate commercial decision-making processes Present analyses and recommendations to both technical and non-technic

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 role As part of our growing Data Science and Analytics team, you will play a key role in Anthropic's mission of building safe and beneficial AI by driving data-informed decision-making across the organization. You'll be embedded with teams supporting our Developer Platform — the infrastructure that enables developers and enterprise customers to build on Claude via our core API, agent orchestration, tool and MCP integrations, and knowledge management capabilities. In this role, you'll partner closely with product, engineering, and go-to-market teams to understand how AI agents are being built and deployed at scale. You'll identify growth opportunities, surface insights about platform adoption, and drive data-informed decisions that shape our platform roadmap. You'll also help establish the analytical foundations and best practices of a data science team that is still defining itself — bringing rigor and clarity to a fast-moving environment. Key responsibilities Define key metrics, build measurement frameworks, and maintain core reporting to evaluate platform success Conduct deep dives into product and usage data to surface actionable insights, size opportunities, and influence roadmaps across product, engineering, and go-to-market teams Develop hypotheses and apply rigorous causal inference methods — including controlled experiments and synthetic controls — to evaluate platform changes and make actionable recommendations Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions Build statistical models, optimization frameworks, and simulations to support and

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 role As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to help shape the cultural norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. Responsibilities: Deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy and operations, influencing roadmaps through your insights and recommendations Develop hypotheses, apply rigorous causal inference methods – controlled experiments, synthetic controls – and analyze the results in order make actionable recommendations Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions Define core metrics, build measurement frameworks, and maintain core reporting to evaluate success Build statistical models, optimization frameworks, and simulations to automate decision-making and operational processes Present complex technical analyses and recommendations to both technical and non-technical stakeholders Establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow You may be a good fit if you have:

Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world’s most important decisions. We’re looking for an AI Product Manager to own the Finance vertical within our Agents Data & Reinforcement Learning Environments team. In this role, you’ll own both the development of RL environments (the realistic, high-fidelity simulations of financial software and workflows that labs use to train and evaluate agents) and the “data as a product” strategy that powers them. You’ll understand where AI is being used in the Finance industry, decide what financial tasks are worth modeling, how to source and structure the underlying data, and how to turn deep domain knowledge into a defensible product. The ideal candidate has lived inside the Finance industry, and is able to pair that domain understanding with a sense for AI research and current agent capabilities in Finance workflows. You’ll translate that expertise into environments and datasets that teach AI agents to perform real financial work, and you’ll be the domain expert Scale’s most important customers and their leading researchers turn to. A strong entrepreneurial & go-to-market mindset will be necessary. What You’ll Do Own the Finance AI roadmap & data strategy: Set product direction for the Finance agents training stack and the data strategy behind it. Establish a vision for where AI is continuing to transform the Finance industry (including investment banking, private equity, public markets, corporate finance, FP&A, etc), driving execution across engineering, operations, and go-to-market teams. Build partnerships with research teams at frontier labs: Work directly with researchers at leading AI labs to understand where their Finance agentic capabilities fall short and shape new product lines and competit

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. At Micron, our vision is to transform how the world uses information to enrich life. Our commitment to people, innovation, tenacity, collaboration, and customer focus enables us to deliver leading memory and storage solutions that power artificial intelligence, data centers, mobile devices, automotive applications, and other emerging technologies. The DRAM Lithography team develops and optimizes advanced photolithography processes tha t support current and future semiconductor manufacturing technology. As a DRAM Lithography Intern, you will contribute to projects focused on advancing next-generation semiconductor manufacturing processes. You will collaborate with engineers across Photolithography, Metrology, Dry Etch, Wet Process, and other process areas to develop innovative solutions for process optimization and technology development. During the internship, you will complete one or more technical projects with opportunities to apply AI and data-driven approaches to complex manufacturing challenges. Responsibilities Design and execute experiments (DOE) to optimize photolithography processes, including EUV lithography, photoresist performance, and related process technologies. Plan, run, and document experiments in a semiconductor cleanroom environment using advanced process equipment. Analyze process images and manufacturing data using commercial and in-house software tools, including AI-enabled methodologies where appropriate. Support projects focused on photolithography simulations, process window opti

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Developer Infrastructure org is the engine behind Robinhood's entire engineering organization — a collection of tightly integrated teams whose collective mission is to make every engineer at Robinhood faster, more reliable, and exponentially more productive. The org spans four major teams: DevX (Developer Experience), TestX (Test Infrastructure), Backend Platform, and Mobile Platform. DevX owns Robinhood's monorepo and Bazel-based build infrastructure — the critical layer between a developer writing code and that code being ready to ship — along with the company's full CI/CD pipeline and remote build execution cluster. TestX owns the infrastructure behind Robinhood's entire test experience: the integration test environments, and personal development environments that serve as miniature simulations of the full Robinhood system, giving engineers a safe, isolated space to test their code end-to-end before it ever touches production. Backend Platform and Mobile Platform own the core language runtimes, libraries, IDEs, and developer toolchains across Python, Go, TypeScript, Swift, and Android. Together, these teams share a single north star: leveraging AI and agentic systems