Model Behavior Engineer Jobs

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is looking for a mid- to senior-level Physical Design Engineer who will contribute to the physical design of high-performance chips for industry-leading AI/ML architectures, spanning implementation from synthesis through tapeout. You will partner with front-end and physical design engineers to optimize floorplanning, timing, power, performance, and area across multiple IPs. Along the way, you will build end-to-end ASIC expertise while learning from experienced engineers across the chip development process. This role is hybrid , based out of Austin, TX, Fort Collins, CO, or Santa Clara, CA . We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are An engineer excited to work on high-performance designs for industry-leading AI/ML architectures. A collaborative problem solver who enjoys working with experienced engineers across ASIC disciplines. Grounded in logic design fundamentals and gate- and transistor-level implementation. Curious about how early architectural and RTL decisions shape physical implementation and final chip quality. What We Need A BS, MS, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a relat

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. As a PCB Power Design Engineer, you will design and optimize power distribution systems for Tenstorrent’s next-generation AI accelerator cards, balancing performance, area, cost, and reliability. You will contribute across the full power design lifecycle, from component selection and simulation through board bring-up, validation, debugging, and production readiness. Working closely with hardware, firmware/software, thermal, mechanical, and validation teams, you will help deliver robust power architectures for high-performance AI systems. This role is hybrid, based out of Toronto, Canada. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are An electrical engineer with experience designing, analyzing, and debugging power distribution systems for high-performance or high-power products. A hands-on engineer who enjoys moving from schematics and simulations into lab bring-up, testing, troubleshooting, and design validation. A systems-oriented collaborator who can work effectively across hardware design, firmware/software, thermal, mechanical, and validation teams. A detail-oriented problem solver who balances electrical performance, power integr

About Zinnov Zinnov is a global management consulting firm that helps organizations make decisions that actually get used — and deliver results that matter. For over two decades, we’ve partnered with leading enterprises, high-growth technology companies, and investors to answer some of the toughest questions they face: Where should we invest? How do we scale globally? What capabilities will win in the next decade? Our work shapes market entry strategies, global operating models, M&A decisions, and long-term growth bets. We’re known for being data-led, execution-focused, and outcome-driven — not opinion-heavy slideware. At Zinnov, how you work matters as much as what you deliver. We value independent thinking, crisp communication, and early ownership. With 450+ professionals across 10 global offices, we work across industries including Digital Services, ER&D, Enterprise Software, Semiconductors, Healthcare, BFSI, Automotive, Media & Telecom, and Private Equity. Zinnov isn’t for everyone. It’s for people who want steep learning curves, honest feedback, and the chance to see their work influence real business decisions — not just presentations. Why Globalization Excellence (GE) Zinnov's Globalization Excellence (GE) practice helps enterprises build and scale Global Capability Centers (GCCs) end-to-end—from Design & Discovery to Build, Scale, and Run . In GE, you don't work in silos. You: Support employer branding initiatives for leading global enterprises. Work alongside consultants, Talent Acquisition teams, and business leaders across GCC advisory and managed services engagements. Contribute to projects that shape talent attraction, employer branding, and organizational growth. Gain hands-on exposure to consulting, communications, and employer branding strategy. This is where creativity meets strategy—and where you'll build the foundation for a successful career in employer branding. About the Role As an Intern – Employer Branding

About the Role Redwood is scaling public cloud infrastructure and AI features across multiple product lines, and we need a FinOps Lead to bring rigor, visibility, and accountability to that spend. This is a senior individual-contributor role with the authority to drive cross-functional cost governance directly. This role owns the translation of raw cloud cost data and AI spent into the models, forecasts, and governance mechanisms that let engineering, product, and executive leadership make informed decisions. This is not a bill-monitoring role. You will build the cost attribution infrastructure that ties cloud/AI spend to specific product lines and, ultimately, to ROI involving architecture and engineering teams to make the right trade offs and decisions in line with the strategic roadmap. The role will report to the Senior Director, Product Engineering Operations, and work closely with Cloud Engineering, the CPO's org, and engineering leadership to create cost visibility and defensibility informing leadership on efficiency strategies. Your ability to be an effective communicator, collaborative team player, and analytical thinker will be keys to success in this role. Responsibilities Cost Visibility, Attribution & Optimization Own and continuously improve cost models that attribute AWS (and other public cloud) spend by product line, team, and environment Drive tagging governance and hygiene, define standards, audit compliance, and close attribution gaps that prevent accurate cost-per-product reporting Build shared cost allocation models to drive transparency into per-team cost drivers where there are prevalent savings plans, reserved instances and network charges Build toward feature-level cost attribution that connects infrastructure spend to product ROI, not just aggregate bill totals Create and manage optimization programs with achievable savings targets, including working across engineering and finance to rightsize, clean up and modernize infrastructur

We are seeking a highly technical and strategic Senior Developer Relations Manager to join our team, with a focus on engaging developer ecosystems across emerging technology domains. In this pivotal role, you will work directly with software solution providers, developers, and industry professionals to champion the adoption of NVIDIA’s advanced AI and computing platforms in the area of Agentic AI, Generative AI and Sovereign AI. The ideal candidate brings a blend of deep technical expertise combined with a passion for developer advocacy and a talent for communicating how NVIDIA technology can solve complex, real-world challenges. What you'll be doing: Develop and maintain deep technical expertise in Agentic AI, Generative AI and AI Models for multimodality data & models. Serve as the trusted technical advisor, problem solver, and champion for the developer ecosystem in Sovereign AI, with cross-functional partners to drive adoption of NVIDIA technologies. Accelerate critical workloads by demonstrating and integrating the NVIDIA software stack (tools, libraries, SDKs, NIMs, and blueprints) into partner products, platforms, and pipelines. Guide partners through onboarding and integration by providing technical resources—such as sample code, guides, and demo pipelines—to accelerate Sovereign AI-specific technology adoption and foster co-innovation of next-generation solutions. Map and monitor the developer ecosystem to identify growth opportunities, collaborating with engineering, product management, and marketing to inform roadmaps and optimize partner adoption strategies. Engage partner technical leaders to drive best-practice integrations and resolve technical challenges, using regular syncs to track adoption, surface new workflows, and channel critical field insights back to NVIDIA product teams. Deep understanding of Sovereign AI Technology and Use Cases enabling both governme

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Our team builds AI-driven software systems for Circuit Design: combining automation algorithms, DL models and agentic workflows to accelerate end-to-end design automation. Come join this integral team in our Circuit Solutions Group! What you'll be doing: Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon custom circuit design and related data, Circuit/Layout Optimization and Spice correlation Research and implement techniques on frontier solutions of electronic design automation. Build and innovate agentic AI solution for VLSI design problem. Responsible for analyzing the problem or datasets, raise and validate hypotheses, design and build models and algorithm until they reach the desired QOR. What we need to see: MS (or equivalent experience) with 3+ years’ experience or PhD with 1+ years’ experience in Electrical/Computer Engineering degree Experience in the following fields is a strict requirement for this role: Combinatorial Optimization, Agentic AI and large language models, Machine Learning for Chip Design & EDA Experience in Algorithms/Data Structures/

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Director, AI Engineering, Transformation Team Overview: The Transformation Team leads strategic change initiatives to reimagine how Mastercard works and scales, simplifies, and accelerates business outcomes. The team partners across leadership, product, technology, and operations to design and implement new organizational models, embed AI across key workflows, drive enterprise-wide transformation programs, improve operating effectiveness, and ensure successful adoption of change. By combining strategy, AI engineering, organizational design, change management, and program execution, the team helps align people, processes, and priorities to support long-term growth and business performance. Role: • This job develops and executes short-term and medium-term strategic plans for AI Engineering across Mastercard, aligning functional initiatives with organizational objectives by modifying existing methods to make significant improvements to existing processes, programs, and/or policies. • Drives the development and execution of short-term functional strategies for AI/ML teams, translating organizational priorities into actionable plans and deliverables. • Collaborates with product and business leaders to translate organizational needs into scalable AI solutions and operational strategies. • Ove

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Director, Tax Overview: This role serves as the primary subject-matter expert on employment tax matters, working in close partnership with cross-functional stakeholders and external providers, to execute global employment tax initiatives, translates complex, multi-jurisdictional regulatory requirements into sustainable operating models, risk management, and serves as advisor on regulatory developments, and on complex employment tax matters affecting the global workforce across all jurisdictions in which the company operations. Role: • Execute and support global employment tax strategy, balancing compliance, risk mitigation, financial accuracy, operational efficiency, and cost optimization across all jurisdictions • Serve as a trusted advisor to internal stakeholders and business units on employment tax implications relating to workforce strategy, mobility programs, mergers and acquisitions, organizational restructuring, and evolving workforce models • Interpret, and operationalize complex employment tax and social security legislation, in alignment with company policies, internal controls, and governance • Lead tax planning initiatives and provide technical guidance on taxation of compensation and benefits, multi-jurisdictional taxation, recharge treatment and employer reporting and withholding requi

Job Requisition ID # 26WD100755 Position Overview The Industry Strategy Manager of Digital Project Delivery will help define the strategy and go-to-market growth strategies for project delivery in the Autodesk Forma industry cloud, spanning design collaboration, design management, data management, and coordination. You will contribute to a team that defines and executes on the industry strategy, including market opportunity analysis, customer value propositions, competitive analysis, partnerships, target audiences, and business models. You will work with cross-functional teams across Product, Platform, Sales, Marketing, and Customer Success, among others. You must possess deep knowledge in BIM and have delivered digital projects across multiple disciplines. This includes design collaboration and coordination across firms, the handoffs across the project lifecycle, and the ISO 19650 information management practices and Common Data Environments that hold them together. You will need to be an effective communicator and coalition builder who thinks strategically, writes concisely, and presents as easily to a working group as to a conference stage. You must be able to work across a matrixed organization, use data to drive business decisions, and bring recommendations forward rather than wait for direction. Autodesk is in a period of exciting and dynamic change as we continue to expand market share through various business growth initiatives and our transition to cloud. The successful candidate will have input into the shape, direction, and growth of the organization as we transition through this change and plan for the future. <

Work Flexibility: Hybrid *This is a hybrid role at our Portage office, with the expectation to be onsite 3 days/week As a Senior Marketing Associate , you will assist in developing, analyzing, and implementing marketing plans for Surgical Technologies . You'll also market the organization's products and services using customer marketing databases and create direct mail marketing plans, targeting specific market segments with specialized offers. You will collaborate with market research in developing response models and other database improvements and may conduct data mining analyses of customer data to develop marketing trends What you will do Understand key competitors and their relative strengths/weaknesses Understand customer groups, including why customers buy the product or service Advocate on the customer's behalf and influence product or portfolio changes based on customer feedback Support in the construction of the marketing plan with specific analysis and collaborate in the development of key strategic initiatives Responsible for achieving a budget target Work proactively with market research to collect customer insights for segmentation Responsible for product or portfolio's targeting and positioning Prioritize marketing initiatives appropriately given product or portfolio goal and metric Intimately understand the customers for the product or portfolio, including attitudes and behaviors Apply market data, use planning tools, and seek expert opinions when analyzing channel strategies Is the subject matter expert for applicable products/product lines and able to field technical questions. [note: some products are more tec

Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Solutions PMM at Fin owns the narratives that shape how Fin wins in market: the stories the field uses in customer conversations, the narratives that power our campaigns, the sales plays that power pipeline, and the competitive strategy that helps us take and defend ground. This is a senior IC role. You drive impact through the quality of your thinking and your ability to move sales, enablement, and campaigns to execute with confidence. This role focuses that mission on who we sell to and how we reach them: our priority industries, our key segments - starting with Enterprise - and the campaign messaging that carries it all to market. It's where audience insight becomes a bill of materials the field and demand gen can run with. As Fin scales beyond a one-size-fits-all story, this is how we get specifi

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Metronome is a usage-based billing platform and a Stripe product. It helps modern software companies launch products faster, offer flexible pricing models, and streamline finance workflows. The Metronome Integration Engineering team sits at the intersection of sales, growth, product, and research and development. We own the technical aspects of the customer lifecycle after a sale and before the customer transitions to our post-implementation teams. What you'll do As an Integration Engineer, you’ll help customers implement Metronome successfully and realize value quickly. You’ll lead technical work across requirements gathering, solution and integration design, configuration, testing, data migration, launch, and handoff. Responsibilities Conduct discovery and scoping to understand customers’ challenges across billing, product launches, pricing and packaging, quote-to-cash, customer experience, and related areas. Support customers throughout the implementation lifecycle, including requirements gathering, technical design, integration design, testing, data migration, and launch. Provide expert guidance on usage-based pricing and consumption-based business models. Configure Metronome’s platform on behalf of customers. Design integrations between Metronome’s APIs and customers’ business systems—including CRM and CPQ platforms, payment and tax systems, ERP and billing providers, and reporting and analytics tools—in alignment with Metronome bes

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're looking for an experienced Acoustics Lab Manager to run Hark's acoustic test lab and serve as lead technician for the audio team. You will own the physical infrastructure every acoustic measurement at Hark depends on: the anechoic chamber and corresponding measurement facilities, turntable and microphone arrays, and the calibration, maintenance, and inventory systems that keep the labs organized. You will design and execute test flows spanning axial and polar measurements, power response, time-domain characterization, and make sure every measurement coming out of the lab is repeatable and defensible. This is hands-on work at the center of how Hark verifies and communicates acoustic performance. Responsibilities Own and maintain the acoustics lab: reference room, anechoic chamber, turntable, microphone arrays, preamps, and supporting instrumentation Set up and execute acoustic measurement campaigns: axial and polar response, power response, spinorama (CEA-2034-style), frequency response, distortion, and more Implement automation where necessary to enhance repeated test flows Define and maintain test procedures and SOPs so measurements are repeatable across sessions and product programs Own the full inventory of lab equipment and supp

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is looking for a mid- to senior-level Physical Design Engineer with a strong background in static timing analysis (STA). In this role, you will help converge multi-million-gate designs on advanced process nodes and partner with cross-functional teams through final signoff and tapeout. This role is hybrid , based out of Austin, TX, Fort Collins, CO, or Santa Clara, CA . We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A physical design engineer with 8+ years of experience in STA, timing closure, and advanced-node design implementation. Experienced with timing flows, constraints, clocking, CDC, RDC, derates, uncertainties, guardbanding, and final signoff. Skilled in writing and debugging SDC constraints, creating ECOs, developing closure strategies, and analyzing worst-case corners. A strong collaborator and communicator who can drive results across distributed, cross-functional engineering teams. What We Need Drive timing convergence across blocks, partitions, sections, and top-level designs; generate and validate timing models and publish results. Analyze timing violations, develop and propagate fixes, debug timing-flow issues, and

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We’re looking for a Field Application Engineer who’s wired for AI/ML, fluent in real-world problem-solving, and excited to build with the people actually using what we make. You will collaborate closely with the sales team and enterprise customers, leveraging your deep technical knowledge in AI to drive the adoption of our products and solutions. This is a customer-facing role that requires both technical expertise and excellent communication skills to convey complex technical concepts to non-technical stakeholders. This role is remote or hybrid based out of Belgrade, Serbia. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You’ve lived in the AI/ML trenches, whether as a field engineer, a solutions architect, or the one tapped in when things needed to “just work.” You speak both machine and human. Whether it’s a researcher or a skeptical executive, you know how to break things down and bring them to life. You’re fired up about generative models, LLMs, and the edge of what’s possible when software meets purpose-built silicon. Work directly with customers in meetings, presentations, and workshops to understand their technical challe