Lead Modeling And Simulation Engineer Jobs

Compensation Business Partner Location: Palo Alto, CA | Reports to: Director of Global Compensation Designation: Full-time Salaried role Core Responsibilities Organizational Consulting: Serve as the primary compensation partner for assigned business units, guiding decisions on offers, job adjustments, retention strategies, and policy updates. Executive Compensation: Lead end-to-end benchmarking, scoping, total rewards recommendations, and annual VP comp review process including custom templates, communication, presentation prep and modeling for CEO review, input, and approval. Analytics & Program Health: Conduct routine compensation health audits, ESPP program modeling/analysis, additional equity program reviews (as backup), cross-functional analyses ,and annual performance cycle roll-ups. Lead the quarterly organizational scorecard process. Enablement & Roadmap: Drive the compensation education roadmap, developing training materials and intranet resources in partnership with TA, HRBPs, and the Compensation team. Compensation Planning: Support annual compensation planning efforts for assigned organizations and lead Rubrik-wide mid-year promotion process. Process Support: Utilize AI and other methods to streamline compensation processes and practices. Cross-Functional Partnership Talent Acquisition: Partner to design creative, market-competitive offer strategies for candidates. Business Leadership: Consult directly with HRBPs and executives to guide compensation outcomes using data-driven models and recommendations. Stakeholder Collaboration: Work closely with FP&A, Stock Admin, Tax, Legal, Audit, Immigration and Communications teams. Qualifications Experience: 7+ years in broad-based compensation (market analysis, VP/exec comp, equity, and consulting), with at least 3 years in high-tech and supporting technical functions. Education: BA/BS degree in Business, HR, or related field (or equivalent experience). Technical Skills: Advanced proficiency in

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 Factory Operations Manager , you will lead contract manufacturing operations and drive operational excellence across NPI and HVM to ensure on-time delivery of Micron's products. You will partner with engineering, planning, and supply chain teams to manage demand, optimize capacity, mitigate risks, and deliver business results. You will also leverage AI-enabled tools, automation, and data analytics to improve decision-making, enhance productivity, and drive continuous process improvement in support of Micron's AI transformation. Job Responsibilities Serve as the main SIG contact. Work with product and central/engineering planning teams to understand equipment and board demand. Strategize loading to meet Micron's business needs. Manage all communications about CMs' delivery commitments. Manage all contract manufacturing (CM) operations during New Product Introduction (NPI) and high-volume Manufacturing (HVM) phases to meet equipment/board delivery schedules. Collaborate with the field service team to support post-sale requirements, including repair, upgrades, rework, and spares. Identify and mitigate risks impacting CM production and delivery schedules, driving resolutions to meet aligned need dates. Monitor and manage finished goods (FG) inventories and provide inputs to the excess and obsolete (E&O) disposition process. Drive purchase price variance (PPV) discussions and decisions with the supply chain team. Lead capacity modeling to

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. Job Summary: In this role, you will lead our Dry Etch, PCVD, Diffusion, Implant - Area Manufacturing Engineering team, responsible to mitigate capacity risks and support our operational commitments. Guiding and developing a high performing team, you will identify and handle systemic issues that support business plan tactics, promote a safety culture and implement improvements to keep development on schedule with program timelines and deliverables. Responsibilities: Lead and coach on performance and develop team members to their highest potential. Identify and address systemic issues impacting equipment manufacturing availability, tool utilization, and cycle time. Drive a culture of safety by requiring and modeling safe behaviors, completing safety training, and conducting audits. Partner with cross-functional teams to build clear and transparent metrics, establish performance targets, and communicate goals to individual contributors. Innovate by researching, crafting, and deploying new operational management techniques and tools. Coordinate Fab-wide long-term business processes and ensure alignment with tactical and strategic operational plans. Minimum Qualifications: Bachelors degree in engineering, operations management, supply chain or related fields. Minimum 3 years of front-end semiconductor manufacturing experience and demonstrated experience in people leadership

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 We are seeking a Machines FP&A lead to own financial planning for the chips and accelerators that run our models. You will own the hardware forecast and budget, keep leadership's view of machine spend current, and be the single finance point of contact for machines into Accounting and consolidated FP&A. In this role, you will be a key partner to our capacity planning and hardware teams, and work day to day with the Compute deal team, Accounting, and the consolidated FP&A team. Key responsibilities Own the hardware forecast: delivery volumes, lease and financing expense, and cash flows Run budget vs. actuals for machine spend: one view of what the fleet costs and why it moved Serve as the single point of contact for machines in forecast and close cycles with Accounting and consolidated FP&A Coordinate forecast inputs with Capacity Planning and the Compute deal team Track spend and cash-flow phasing against multi-year hardware commitments Partner with Accounting on the treatment of leases and related agreements Support chip and accelerator economics analyses led by the Machines finance team Build the reporting that keeps leadership's machine spend picture current Minimum qualifications Owned a forecast or budget end to end at a hardware, semiconductor, hyperscaler, or infrastructure-heavy business Strong driver-based modeling skills and budget-vs-actual / variance discipline Comfort partnering closely with engineering and commercial teams under deal-timeline pressure Passion for Anthropic's mission to build safe, transformative AI systems Preferred qualifications 7+ years in FP&A, strategic finance, or

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. On the ML Fraud team, you’ll build and improve machine learning systems that make real-time transaction decisions, protecting consumers and merchants while balancing fraud loss, customer experience, and conversion. You’ll work closely with experienced ML engineers, platform partners, and cross-functional stakeholders to take models from idea to prototype to production, and to keep them healthy with strong measurement and monitoring as fraud patterns evolve. What you’ll do - You will lead development of new fraud prediction models using a mix of approaches for tabular, graph, and behavioral data - You will build and scale feature pipelines and training datasets from proprietary and third-party signals, partnering with data and platform teams when needed. - You will prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls. - You productionize models: integrate into batch and/or real-time decision systems, and improve reliability, latency, and operational robustness. - You will instrument and monitor model and data health, and help define retraining/backtesting workflows as fraud patterns evolve. - Identify and implement foundational improvements to how the team builds models. - You will collaborate across Engineering, Fraud Analytics, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences. What we look for - You have 6+ years experience researching, training, tuning and launching ML models at scale. Relevant PhD can count for up to 2 years of experience. - Track record of delivering high impact machine learning models in a low latency live setting - Strong Python skil

Block builds simple, powerful tools that make progress towards an economy that's truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone. Join us. The Role We are seeking a Finance & Strategy Manager to join Block's Business Strategic Finance team, supporting our largest strategic commercial partnerships. You'll partner with Financial Operations, Product, Data Science, and Legal to shape the commercial agreements that underpin Square, Cash App, and Afterpay, spanning payment networks, banks, and processors. Your work will directly influence how Block negotiates, prices, and forecasts the costs that flow through every transaction we process. You'll report to a Finance & Strategy Lead within Block's Business Strategic Finance team. This is a hands-on, high-impact role. You'll shape Block's approach to its most important partners, lead the modeling behind high-stakes negotiations, and own the forecast for one of Block's largest cost lines. Success requires deep analytical rigor, intellectual curiosity, the ability to navigate ambiguity, and the confidence to drive change even when playbooks don't yet exist. Candidates can sit in any Block office in the US or be remote from any US state with the exception of Alaska. You Will Act as the key Strategic Finance partner for Block's commercial partnership portfolio, owning the financial and strategic narrative for how we manage these relationships and where we take them next. Develop Block's point of view on where

We are looking for research interns to join our Quantitative Equity team for 4 to 8 months starting in January or May 2027. We are a top-performing quant fund that manages over $111 billion in financial assets, with a track record spanning more than two decades. As a privately owned firm, we take a long-term perspective, investing in lasting business success and the long-term careers of our people. What You Will Do Investing presents a rich set of research problems that you will explore in this role. Quantitative Researchers lead the development of our investment models and strategies. As an intern, you will work on a real investment research project that requires thinking deeply about the factors that determine business success and modeling the complex dynamics of capital markets, including how information is created, interpreted and reflected in prices. Y our work will have a direct impact on investment outcomes. You will own your research project from beginning to end, including idea generation, signal construction, backtesting and calibration. There is plenty of opportunity to collaborate with your peers and receive mentorship from senior members of our research team. Our team works with: State-of-the-art techniques, including reinforcement learning, large language models, AI agents and econometric methods Large financial and alternative data Advanced technologies, such as high-performance computing infrastructure and custom research systems What You Bring Exceptional quantitative and technical ability : a strong foundation in mathematics, statistics, computer science, economics, finance or a related discipline An interest in finance: an interest in the domain is essential ; an understanding of capital markets and the drivers of business success is valuable but not required Evidence of exceptional ability and achievement: demonstrated through academic, professional, research, competition

We are looking for researchers to join our Quantitative Equity team. We are a top-performing quant fund that manages over $111 billion in financial assets, with a track record spanning more than two decades . As a privately owned firm, we take a long-term perspective, investing in lasting business success and the long-term careers of our people. What You Will Do Investing presents a rich set of research problems that you will explore in this role. Quantitative Researchers lead the development of our investment models and strategies. This requires thinking deeply about the factors that determine business success and modeling the complex dynamics of capital markets, including how information is created, interpreted and reflected in prices . Y our work will have a direct impact on investment outcomes. You will own your research projects from beginning to end, including idea generation, signal construction, backtesting and calibration. There is plenty of opportunity to collaborate with your peers and receive mentorship from senior members of our research team. Our team works with: State-of-the-art techniques, including reinforcement learning, large language models, AI agents and econometric methods Large financial and alternative data Advanced technologies, such as high-performance computing infrastructure and custom research systems What You Bring Exceptional quantitative and technical ability : a strong foundation in mathematics, statistics, computer science, economics, finance or a related discipline An interest in finance: an interest in the domain is essential ; an understanding of capital markets and the drivers of business success is valuable but not required Evidence of exceptional ability and achievement: demonstrated through academic, professional, research, competition, entrepreneurship, or other accomplishments The starting annual base salary range is $200,000 – $350,000 for new graduates.

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As an Associate Value Consultant, you will empower our customers to visualize the financial future of their data centers by translating complex technical shifts into compelling economic narratives. Joining our Global Value Management team, you’ll serve as the bridge between IT innovation and financial justification, collaborating with sales and finance leaders to prove the ROI of the Everpure™ Platform. This is a high-impact opportunity to master value-based selling while helping global organizations quantify cost savings, sustainability gains, and operational agility. Location: Raleigh, North Carolina or Chicago WHAT YOU’LL DO Architect Defensible Business Cases: Build and own comprehensive financial models that calculate TCO, ROI, and NPV, ensuring every customer investment is backed by transparent, audit-ready data. Quantify Strategic Value: Partner with customer stakeholders in Finance and IT to identify and measure key value levers such as power/cooling reduction, increased developer productivity, and mitigated downtime risks. Drive Consultative Discovery: Lead structured interviews and data collection workstreams to uncover "outside-in" insights that align Everpure’s solutions with specific executive business priorities. Optimize Value Frameworks: Enhance our library of reusable benchmarks and modeling templates, directly improving the efficiency and accuracy of the global sales organization’s

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible. Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy. The Role As a Data Engineer, you will handle everything from data architecture and modeling to data pipeline tooling and dashboarding. You will enable a range of other engineering and business teams to make impactful business decisions by laying the foundation of our large and unique datasets that span across multiple products. This role will support the product data engineering team. The Product Data Engineering Team at Block builds and maintains the curated data foundation that powers all of Block's product lines — Cash App, Square, Afterpay, and Tidal. We transform raw event streams, transactional systems, and operational data into governed, tested, and reliable analytical assets across domains including banking, lending, commerce, investing, checkout, and AI assistants. We partner with Product, Engineering, Data Science, Machine Learning, and Applied AI teams to deliver the metrics, experimentation frameworks, and ML-ready datasets that enable Block's products to grow, improve, and serve customers at scale. You Will Lead the creation and optimization of data models

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. We are hiring a Staff Software Engineer for our Frontier Security AI team. Snowflake's Frontier Security AI teams develop production-grade LLM applications, intelligent agents, AI infrastructure, and evaluation systems for enterprise customers — products that must meet a high bar for quality, security, reliability, and efficiency while operating over sensitive data at large scale. In this role, you will lead the design and development of our Agentic Harness and agent evaluation platform, working across product, infrastructure, applied AI, security, and modeling teams to take new capabilities from prototype to dependable customer value. AS A STAFF SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL: Architect and build the Agentic Harness that executes complex, multi-step AI workflows across models, tools, data, and services. Design stable interfaces for tool execution, context construction, state management, memory, permissions, retries, fallbacks, and human review. Own agent quality end to end by building evaluation harnesses, representative datasets, automated graders, experiment pipelines, and release gates. Convert ambiguous reports such as "the agent feels worse" into measurable failure modes, reproducible tests, and durable fixes. Analyze production agent trajectories to identif

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. We are hiring a Staff Software Engineer for our Frontier Security AI team. Snowflake's Frontier Security AI teams develop production-grade LLM applications, intelligent agents, AI infrastructure, and evaluation systems for enterprise customers — products that must meet a high bar for quality, security, reliability, and efficiency while operating over sensitive data at large scale. In this role, you will lead the design and development of our Agentic Harness and agent evaluation platform, working across product, infrastructure, applied AI, security, and modeling teams to take new capabilities from prototype to dependable customer value. AS A STAFF SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL: Architect and build the Agentic Harness that executes complex, multi-step AI workflows across models, tools, data, and services. Design stable interfaces for tool execution, context construction, state management, memory, permissions, retries, fallbacks, and human review. Own agent quality end to end by building evaluation harnesses, representative datasets, automated graders, experiment pipelines, and release gates. Convert ambiguous reports such as "the agent feels worse" into measurable failure modes, reproducible tests, and durable fixes. Analyze production agent trajectories to identif

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! Forma.ai is hiring a Principal Consultant, Sales Effectiveness to transform how enterprises design, roll out, and manage territories and quotas using our Territory and Quota Management (TQM) suite of products. We're looking for someone who brings real-world perspective on designing, implementing, and rolling out robust enterprise sales planning solutions, across territories, quotas and incentives. Reporting to the Chief of Staff & Head of Sales Planning Products, you'll help shape our sales planning solutions and take them to market. You'll work closely with customers to implement the solution, optimize their processes, and drive adoption, leading engagements from high-level objective setting and modeling through to rollout. You'll work closely with Customers, Senior Leadership at Forma, and Product Engineering teams to shape requirements, share what you're seeing in the field, and influence what we build. This role is for someone with practical, hands-on experience in sales planning. You should be comfortable leading sales planning solution design from objective setting through rollout and adoption. A background in management or technology consulting is heavily preferred. We are looking for someone that is willing to take extreme ownership, can operate at a senior level with customers and leadership, and are willing to get into the details to help build a market leading product. The role’s key responsibilities are listed below: Lead the implementation of enterprise level s

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity: The Sr Data Scientist, Risk will offer a strategic perspective, deep analytical and modeling capabilities, and a collaborative working style. The right candidate will have strong intellectual curiosity and passion for achieving business results. An ability to quickly define the problem, research and leverage state-of-the-art modeling techniques, and provide timely recommendations will be essential. Key skills will include a strong analytical mindset, deep understanding of most popular machine learning algorithms and lead key initiatives with integrity and a passion for investigations, problem solving, and troubleshooting. What You’ll Be Doing : Identify complex fraud patterns and their technical root causes through detailed data mining and analysis, including identification of sophisticated fraud methods employed by actors who are deliberately trying to avoid detection. Serve as technical SME by sharing new data mining techniques, maintaining technical reference documentation, and interfacing with partner technology teams. Collaborate across business and technology stakeholders to communicate analytical findings to both technical and non-technical audiences. Provide technical guidance for engineering projects that incorporate

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity: The Sr Data Scientist, Risk will offer a strategic perspective, deep analytical and modeling capabilities, and a collaborative working style. The right candidate will have strong intellectual curiosity and passion for achieving business results. An ability to quickly define the problem, research and leverage state-of-the-art modeling techniques, and provide timely recommendations will be essential. Key skills will include a strong analytical mindset, deep understanding of most popular machine learning algorithms and lead key initiatives with integrity and a passion for investigations, problem solving, and troubleshooting. What You’ll Be Doing : Identify complex fraud patterns and their technical root causes through detailed data mining and analysis, including identification of sophisticated fraud methods employed by actors who are deliberately trying to avoid detection. Serve as technical SME by sharing new data mining techniques, maintaining technical reference documentation, and interfacing with partner technology teams. Collaborate across business and technology stakeholders to communicate analytical findings to both technical and non-technical audiences. Provide technical guidance for engineering projects that incorporate