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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. Join Tenstorrent as a Staff Reliability Engineer and help define the reliability strategy behind the next generation of AI computing systems. In this highly visible technical leadership role, you'll drive reliability from architecture through production, partnering across hardware, software, and manufacturing teams to build high-performance AI platforms that set the standard for uptime, durability, and quality. If you're passionate about solving complex engineering challenges and influencing products at scale, you'll have the opportunity to shape technology powering the future of AI. 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 You've spent 8+ years in reliability engineering, ideally in high-performance computing, AI hardware, or data center systems. You're comfortable with the statistical side of the job, HALT, HASS, ALT, MTBF, Weibull analysis, and FMEA are all familiar territory. You can work through a technical problem in a thermal lab and then explain the risks and trade-offs clearly to leadership. You're good at bringing people together, mechanical, electrical, thermal, softw

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 building next-generation processors and systems, bringing together world-class expertise across silicon, systems, and software. We are looking for a CPU Performance Modeling Architect to help evaluate, shape, and optimize the performance of future CPU architectures. In this role, you’ll use performance modeling, workload analysis, and deep understanding of CPU architecture to answer complex questions about how a processor should be designed. You’ll work closely with CPU architects, RTL designers, software and compiler teams, and system engineers to identify performance opportunities, evaluate architectural tradeoffs, and turn modeling insights into actionable design decisions. This role is hybrid, based out of Santa Clara, CA or Austin, TX. 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 CPU architect, performance architect, or performance modeling engineer with experience influencing CPU architecture or microarchitecture decisions. You have a strong understanding of modern processor architecture and enjoy digging into why a CPU performs the way it does. You are comfortable combining hardware architecture, software, data, 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 an Engineering Program Manager — or a technical engineer ready to move into program management — to help drive execution on our RISC-V CPU team. You'll work across architecture, design, verification, physical design, and DFT to keep a high-performance CPU program moving from spec through tapeout and post-silicon debug. Partnering with a senior program lead and engineering managers, you'll own schedules, track milestones, surface risks early, and keep cross-functional teams aligned. This role is hybrid, based out of Austin, TX 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 Experience in CPU, SoC, or silicon development — as an engineer, technical lead, or program manager. Comfortable working with cross-functional engineering teams and translating technical detail into clear status, dependencies, and trade-offs. Organized and proactive; you chase down open items rather than waiting for them to resolve. A clear communicator who can hold your own in engineering discussions and write updates leadership can act on. What We Need Support the full CPU development cycle — spec, design, verification, DFT, ta

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 seeking a senior High Speed Interconnect / Signal Integrity Engineer to design and validate high-bandwidth links for large-scale AI systems. You will define, model, and qualify interconnect solutions across copper and optical technologies for next-generation AI inference and training clusters. This role is on-site in Santa Clara, CA, Austin, TX, or Toronto, Canada. We welcome candidates at various experience levels. 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 experienced electrical engineer with a Bachelor’s or Master’s in Electrical Engineering. 5+ years working on high-speed communications (100G–1.6T), including signal integrity, channels, and links. Comfortable building and owning link and channel budgets and making clear tradeoffs between reach, loss, BER, and margin. Hands-on with SI tools and lab equipment such as Keysight ADS, VNAs, TDRs, BERTs, and protocol analyzers. Familiar with cable specification and testing, as well as accelerated life testing, mating life, and failure analysis. Able to collaborate across hardware, systems, and manufacturing teams; manufacturing/DFM/DTM experience is a plus. What We Need Define and specify high-speed interconnect architectures

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 are seeking an experienced and motivated System IP RTL Design Lead to drive the definition and implementation of complex datacenter class IP for our next-generation semiconductor products. The ideal candidate possesses a deep understanding of System IP and SoC architecture, IP integration challenges, and is adept at leading a design team to deliver high-quality, scalable IP solutions. This role requires strong hands-on technical leadership, excellent communication skills, and a proven track record in the successful delivery of silicon IP. This role is hybrid, based out of Bangalore, India. 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 seasoned IP / SoC design leader with 20+ yrs of strong expertise in complex SoC architectures, high-speed protocols, and large-scale IP integration. Skilled in RTL design and debug (Verilog/SystemVerilog) with hands-on experience using industry-standard tools for simulation, synthesis, lint, CDC, and power analysis on high-frequency designs. Experienced in driving microarchitecture decisions, authoring design specifications, and performing complex PPA trade-off optimizations. A proactive problem so

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 are seeking an experienced Project Manager to lead our ERP implementation and drive delivery across technical and business teams. In this role, you will bridge Solution Architects with stakeholders across Sales, Supply Chain, Finance, Trade, Infosec, and Engineering to keep the program aligned, accountable, and moving forward. This role is hybrid, based out of Santa Clara, CA, or Austin, TX. 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 experienced project manager who has led complex ERP implementations, such as NetSuite or SAP. Skilled in project management methodologies and tools, including Jira and Asana. A strong interpersonal communicator who can influence, align, and mediate across technical and business teams. Able to synthesize complex technical discussions into clear, actionable reporting for varied stakeholders. What We Need Define project scope, milestones, deliverables, and governance for the ERP implementation. Manage external consultants, monitor adherence to statements of work, and drive accountability for delivery. Coordinate Sales, Supply Chain, Finance, Trade, Infosec, Engineering, Solution Architecture, and o

About Graphcore Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are looking for a Principal Architect to define and drive the architectural vision of the software stack for the Graphcore ML accelerator. In this role, you will shape the architecture of our software ecosystem and maintain a deep understanding of the product’s hardware and software components, their interfaces, and how they interact. You are an excellent communicator, and you proactively convey the software architecture. You bring a pragmatic, trade-off-aware approach to decision-making, fully recognising the impact of architectural choices on product direction and engineering outcomes. The Team The software architecture team is responsible for defining, maintaining and communicating the overarching architecture of our software stack, from firmware to ML frameworks. The team works within the wider software organisation, partnering closely with engineering teams who deliver against this architectural vision. Responsibilities and Duties Define & document the software architecture of the software stack. Work across different software

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. CLEAR is looking for a modern, highly strategic communications leader to drive earned media and bring our biggest partnerships, products, and company moments to market. You’ll build a proactive communications engine across CLEAR1, CLEAR+, and other key initiatives, developing the strategy while rolling up your sleeves to write, pitch, launch, and execute the work. What you'll do: Own communications approach and execution for major CLEAR announcements, partnerships and launches across CLEAR1, CLEAR+, and other priority areas of the business Build and maintain strong relationships with national, business, technology, travel and trade media, as well as new media types, proactively developing stories and opportunities that drive awareness, consideration and understanding of CLEAR Turn business priorities into compelling narratives and integrated communications plans, identifying how earned media, executive visibility, partners, owned channels and other communications levers can work together to maximize impact Lead announcements from idea through execution, developing messaging, writing press materials, pitching media, preparing spokespeople, coordinating internal and external stakeholders and ensuring flawless launch execution Build the processes, rhythms and tools that make CLEAR’s communications function increasingly proactive and scalable, creating visibility into upcoming moments and identifying opportunities to tell a bigger, more connected CLEAR story How you'll measure success: Quality, relevance and reach of earned me

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. The Engineering Manager, CLEAR1 Strategic Partnerships Platform (StratP) is responsible for leading the engineering team that builds partner integrations, healthcare-related workflows, identity and authentication capabilities, and reusable platform improvements that strengthen CLEAR1’s customer offerings. In this role, you’ll drive execution, technical direction, and team development across a high-leverage platform area, turning strategic partner and market needs into scalable, reliable capabilities that improve delivery quality and create long-term business value. What you’ll do: Lead, coach, and develop engineers through hiring, feedback, performance management, and career growth Drive roadmap execution by setting priorities, running strong planning cadences, and delivering against CLEAR1 business commitments Partner across Product, Design, Operations, and Engineering to translate partner and customer needs into scalable platform capabilities Lead delivery across work spanning partner integrations, healthcare-related workflows, identity and authentication capabilities, and reusable platform improvements for CLEAR1 Guide architecture, technical tradeoffs, and dependency management to improve reliability, speed, and long-term platform leverage How you’ll measure success: Improved roadmap predictability and delivery against planned commitments Clearer prioritization and stronger execution across competing demands and shared dependencies Better ownership clarity across partner-facing integrations, identity flows, and customer-facing platf

Opportunity Overview: We’re seeking a strategic and execution-focused Technical Program Manager to drive large, cross-functional initiatives from concept through launch. In this role, you will lead end-to-end delivery of complex, multi-team programs—such as platform migrations, architectural modernization, reliability improvements, and major product launches—while defining clear milestones, success metrics, and sequencing plans. You’ll partner deeply with Engineering to proactively manage dependencies, mitigate risk, and ensure technical and business alignment. This role also strengthens our execution systems by improving program transparency, standardizing launch rigor, and translating technical complexity into clear executive-level insights. What you’ll do: Lead end-to-end delivery of multi-team initiatives (e.g., platform migrations, architectural modernization, reliability improvements, major product launches) Define milestones, critical paths, and measurable success criteria Break ambiguous initiatives into executable phases with clear sequencing Identify and manage cross-team technical dependencies Proactively surface risks and tradeoffs with mitigation plans Run structured risk reviews and escalation processes when needed Participate in technical design discussions to understand architecture and constraints Ensure design reviews, capacity planning, and rollout strategies happen early Collaborate with EMs and engineers leaders to align on realistic timelines Establish program tracking mechanisms that create transparency without bureaucracy Standardize launch readiness, milestone reviews, and postmortem follow-ups Identify systemic delivery bottlenecks and drive continuous improvement Provide concise executive updates with clear status, risks, and asks Maintain decision logs and documentation for key initiatives Translate technical complexity into business impact What you’ll need: Must-haves 6+ years of experience in technical program management, engineering pr

About the Team DoorDash’s GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalization to production. Our mission is to increase the velocity of business impact from GenAI. A central pillar of that work is running frontier open-weight LLMs and VLMs (such as GLM, Qwen, Kimi, and DeepSeek) ourselves — real-time GPU serving, high-throughput batch inference, and fine-tuning on autoscaling GPUs — delivering large cost and latency wins (for example, a billion embeddings produced roughly 20× cheaper and visual models served roughly 72% cheaper). We also own core platform surfaces including the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. About the Role You will join a small, high-leverage team building production infrastructure for Generative AI at DoorDash, leading the design and architecture of our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You’ll set technical direction across model serving and inference engines, fine-tuning and training pipelines, GPU autoscaling and utilization, batch pipelines, backend services, and observability, and mentor engineers as you go. This role is ideal for a senior engineer who enjoys owning ambiguous, high-impact systems and pushing the cost/performance frontier of GPU inference and fine-tuning in a fast-moving technical area where product needs, model capabilities, vendor ecosystems, and cost/performance tradeoffs are evolving quickly. You’re excited about this opportunity because you will… Lead the design of infrastructure that helps DoorDash teams move GenAI ideas from prototype to production, increasing the velocity of business impact from AI across the company. Own and evolve our open-weights serving stack — real-time GPU endpoints, high-thr

About the Team At DoorDash, design means making experiences for the people who order, the people who prepare, and the people who deliver. As a Designer at DoorDash, you want to build things that matter to real people. You're at your best when you can move from idea to shipped product quickly, bringing experiences to life that reach and influence users at massive scale. You'll care about whether the product you make solved a real problem for real people, or changed how someone experiences their day. About the Role In this role, you’ll join the Core Dasher team within our Dasher organization, focused on one of DoorDash’s highest-priority challenges: growing and retaining Dasher supply. The team works across Growth and Financial Products to identify new ways to create value for Dashers, including exploring how Crimson, financial incentives, and financial wellness offerings can become meaningful growth levers. You’ll help lead 0→1 opportunities from strategy through launch, partnering across Product, Engineering, Data Science, Marketing, and Finance to build experiences that can scale across the U.S. and international markets. You will report to the Head of the Core Dasher team within our Dasher organization. We operate in a hybrid model, with 1–2 days per week in one of our Design Hubs in San Francisco or New York City. You’re excited about this opportunity because you will… Define projects with a clear point of view on what to build, writing briefs that synthesize business and customer inputs into roadmap milestones; balance customer needs, business goals, and feasibility to shape what your team builds and why Bring clarity to ambiguous, cross-team problems and turn them into actionable work that ships; drive prioritization across your team and adjacent teams, making tradeoffs between design quality, speed, and impact so the highest-leverage work moves first Shape key projects from concept through execution — staying close enough to resolve issues during iteration, gu

About the Team DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We’re focused on how to do the next 10B even better. About the Role We’re looking for a Senior/Staff electrical and firmware engineer who designs the board and writes the firmware for connected consumer and enterprise devices, including tablets, POS systems, peripherals, and emerging robotics applications. In this role, you will take connected devices from ambiguous user or business needs through system architecture, rapid prototyping, board design, firmware implementation, bring-up, field deployment, and production transition. The ideal candidate has a passion for building and shipping reliable hardware at scale and thrives in an environment that demands technical depth and high-quality execution across multiple concurrent programs. This is a build-heavy role on a small, senior team. You’re excited about this opportunity because you will… Own connected devices end to end, including: Own connected devices from an ambiguous product need through field deployment. Work across the hardware and firmware boundary instead of handing work between specialists. Explore uncertain product ideas through rapid prototypes and experiments. Make consequential tradeoffs on a small, senior team with direct exposure to users and field behavior. Key Responsibilities Translate user and business needs into an integrated electrical and firmware architecture. Design compute-based, mixed-signal boards incorporating processors

We are investing in agentic AI and need a Senior AI Engineer to lead the design and delivery of these systems. This is a foundational hire: you will own both the agent-facing workstreams — pipelines, orchestration, conversational interfaces — and the underlying context layer that makes them reliable, including memory management, knowledge graph integration, and retrieval infrastructure. You will work closely with data engineers, project leads, and client stakeholders, and play a key role in shaping how Lynx builds and ships AI solutions at scale. What This Involves: Lead the architecture and delivery of agentic AI systems end-to-end: agents, orchestration, tool use, and multi-step reasoning workflows. Own the context layer: design and implement memory architectures (episodic, semantic, working memory) and integrate GraphRAG and knowledge graph retrieval into agentic pipelines. Build robust RAG systems — including vector retrieval, graph traversal, and hybrid search — and ensure retrieval quality through evaluation frameworks. Translate client requirements into technical designs, presenting approaches and trade-offs to both technical and non-technical stakeholders. Define standards and reusable patterns for agentic AI development that other engineers at Lynx can build on. Set up observability, evaluation, and monitoring pipelines to ensure AI systems perform correctly in production. Requirements: 5–8 years of software or ML engineering experience, with at least 2–3 years building LLM-based or agentic AI systems in production. Deep hands-on experience with agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, or similar) and LLM APIs (OpenAI, Anthropic, etc.). Strong understanding of agent design patterns: ReAct, planning loops, tool use, multi-agent coordination, and memory architectures. Practical experience with GraphRAG or knowledge graph-based retrieval (e.g., Neo4j, Microsoft GraphRAG) and vector databases (Pinecone, Weaviate, Qdrant, etc.). Proficiency in

SUMMARY STATEMENT We are looking for a Solution Architect to design the technical solutions behind our client engagements and give delivery teams a clear, workable path from concept to production. You will work across enterprise data, software applications and GenAI - translating complex business problems into practical architectures that delivery teams can build and scale. This could include architecting an agentic workflow for clinical operations, a conversational analytics product grounded in enterprise data, or an AI-enabled decision platform for commercial teams. You will work directly with clients, define the architecture, test the most important technical decisions yourself and establish the foundations for successful delivery. This is an architecture-first role with meaningful hands-on engineering: you will stay close enough to implementation to prove the architecture works and support it through production delivery, without becoming the primary engineer for every component. You will also help shape the reusable patterns, technical standards and accelerators behind Lynx’s growing AI-native life sciences practice. KEY RESPONSIBILITIES Solution Architecture Own the end-to-end solution architecture for client engagements, including data models, system design, integration patterns and technology choices. Translate business requirements into clear technical designs and implementation paths that delivery teams can build from. Design solutions spanning enterprise data, APIs, applications, cloud platforms and GenAI capabilities. Lead technical discovery with clients: understand requirements, assess existing systems and identify dependencies, constraints and delivery risks. Present architectural options and trade-offs clearly to technical teams, business stakeholders and senior leaders. Make pragmatic decisions across build speed, cost, scalability, security and maintainability. Review key implementation decisions and remain