Jobs in Canada

Platform Operations Specialist in Toronto

212 active opportunities · Updated October 2026

Explore current platform operations specialist jobs in Toronto. Filter by work mode, employment type, experience, department, date posted and distance.

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📍 Toronto, Ontario, Canada· Full-time
✓ Quality checkedCompany trend -100%

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity We are looking for a Key Account Director to lead growth within a set of Postman’s most important enterprise accounts. This role is part of a new strategic go-to-market motion designed to deepen our engagement with large enterprises, expand our footprint, and deliver the full value of the Postman platform. You will be paired with a pod that includes a Principal Solutions Engineer and a Field CTO, forming a high-caliber account team focused on building long-term, value-based relationships. Together, you’ll engage senior technology leaders, uncover complex challenges, and drive adoption of Postman’s enterprise and platform solutions at scale. This is not a traditional “low-hanging fruit” sales role—this is about strategic account expansion, multi-threaded enterprise engagement, and solution selling. Location: This is a fully remote position. What You’ll Do Own and grow a portfolio of strategic enterprise accounts (e.g., Fortune 500, cloud-first companies, large-scale developer organizations). Deeply engage with senior buyers—CIOs, CTOs, VPs of Engineering, Platform, Security, and Collaboration—to position Postm

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📍 Toronto, Canada· Full-time
✓ High-confidence listingCompany trend -73.4%

From C$45/hr

Quick readStrong listing-quality and freshness signals

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We're looking for Masters or PhD students who are passionate about solving mathematical problems with data and are excited about working in a fast-paced, innovative and collegial environment. We are hiring for a variety of Data Science interns, focusing on the following specialties: Optimization: Construct and fit statistical or optimization models that facilitate automated decision making in the app. Machine Learning: Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment. Inference: Design and analyze tests in our dynamic marketplace, estimating statistical and ML models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems. You will report into a Science Manager. Responsibilities: Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context Perform exploratory data analysis to gain a deeper understanding of the problem Write production modeling code; collaborate with software engineers to implement algorithms in production Design and run both simulated and live traffic experiments Analyze experimental and observational data; communicate findings including working with partner teams and presentations; facilitate launch decisions Experience: Currently pursuing a Masters or PhD degree at a university in Canada (required) in mathematical sciences ( Opera

PythonSQLMachine LearningAI
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📍 Toronto, Canada· Full-time
✓ High-confidence listing

From C$132K/yr

Quick readStrong listing-quality and freshness signals

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity As the Manager, GTM Engineering (AI and Automation), you will be key to constructing and maintaining our "Revenue Velocity" engine with a specialized team of architects. In this high impact role, you will report to the Director of Enterprise Systems & Solutions. You will be responsible for the successful technical integration of advanced AI and automation tools throughout our Go-To-Market (GTM) technology stack. This role requires a proactive player-coach who balances thinking strategically about our revenue systems while remaining deeply involved in the creation of durable, data-driven automation frameworks. What you'll do GTM Tech Stack Management: Integrate with and optimize the core Sales and Marketing technology stack (Salesforce, Clay, Rox, Boomi, Salesloft) in alignment with customer-centric initiatives. Workflow & AI Automation: Execute end-to-end automated workflows (lead scoring, routing, alerts) and deploy AI/ML solutions to scale business outreach efficiency. Data Integrity & Analytics: Manage data pipelines and routine hygiene (deduplication, enrichment) across systems; maintain dashboards to track key GTM metrics and deliver forecasting to leadership. Process Execution & Enablement: Work with Program teams to map GTM workflows and drive technical projects from requirements gathering through implementation and user adoption. This role requires 2+ years of people management or relevant leadership experience, such as lead

PythonGitRestAI
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📍 Toronto, Ontario, Canada· Full-time
✓ Quality checkedCompany trend -85.7%

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. About the role The App Runtime team is building a platform that lets every Snowflake user go from an idea to a live, deployed web application (Node.js first) in minutes. We own the end-to-end experience of building and running apps, from Cortex AI-assisted development to deployment in a secure, scalable infrastructure. Apps built on the platform inherit Snowflake's security, governance, lineage, and access controls by default. See Deploy Faster with Snowflake Apps . As a Senior Full Stack Engineer, you will drive initiatives that span our product areas and tech stack. It’s a high-impact role - you will work on an early-stage, public-preview product. Your work will directly shape the product experience developers rely on. This role requires a unique combination of deep hands-on expertise with web frameworks, great UX design instincts, customer obsession and collaboration with backend teams. Responsibilities Build the AI-assisted, agentic development experiences that power App Runtime, spanning the full tech stack - React, Go, Python, and Java Stay deeply hands-on by authoring technical and design specs that consider the system holistically (frontend and backend) and implementing critical code Partner directly with customers, i.e. developers building Snowflake Apps, translati

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📍 Toronto, Canada
✓ High-confidence listingCompany trend -73.4%

From C$40/hr

Quick readStrong listing-quality and freshness signals

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Content Systems is the heart of Lyft's language ecosystem. The team is made up of two distinct disciplines, Content Design and Learning Experience Design, who create and own language across Lyft's in-app experiences that help customers succeed on the Lyft platform. We're looking for a Content Systems intern to join our team for the summer. This role will both help design and build our internal content system (think information architecture), and embed in a rotation of design teams as a content design/learning design partner in building products across the Lyft community. Of course, you won’t be alone. You'll work with designers, researchers, marketers, and product managers day in and day out to develop experiences that reach and resonate with riders. This internship will take place in our Toronto office during Summer 2027 . What we're looking for Responsibilities: Support our content system by establishing and translating information architecture to help manage content across Lyft Help teams reconsider existing systems and processes (eg publishing workflows) to align to the new information architecture Support product strategy and vision through content, working on projects as a content designer and learning experience designer Translate complicated concepts into clear in-product copy (UI, notifications, errors, and more) and learning materials Collaborate with designers, visual content creators, researchers, engineers, marketers, data science, product managers, and other stakeholders across tech and ops The ability to translate concepts across the UI, learning center, and knowledge base into connected content objects Manage multiple projects and competing priorities Maintain, evolve and champion the Lyft brand voice and style Skills: Excellent writing skills; ability to

Artificial IntelligenceAI
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📍 Toronto, Ontario, Canada
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

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

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📍 Toronto, Canada· Full-time
✓ High-confidence listing

From C$1.2M/yr

Quick readStrong listing-quality and freshness signals

About the Role: We are looking for a talented Automation Engineer to join our Automation Engineering team in Toronto. In this role, you will be responsible for designing and implementing automated tests for Mobile development. You will collaborate closely with QA engineers and developers to build scalable test frameworks, improve automation coverage, and contribute to the efficiency of our multi-platform release process. You will also design data-driven end-to-end checks around playback and ad insertion , integrate them into CI/CD pipelines as quality gates, and operate a reliable device lab to prevent regressions from shipping. Your work will directly accelerate testing and release velocity while improving revenue-critical reliability across Tubi’s Android and IOS apps. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: Design, implement, and maintain automated tests for mobile development (Android & iOS) Contribute to the development and optimization of cross-platform automation frameworks. Write and maintain test scripts in JavaScript/TypeScript , using frameworks such as Puppeteer, Appium, WebDriverIO, Selenium. Ensure test cases are integrated into CI/CD pipelines and provide reliable feedback on product quality. Help identify flaky tests, investigate root causes, and improve test stability. Collaborate with developers and QA engineers to clarify requirements and improve test strategies. Participate in code reviews and follow best practices for test automation . Your Background: Bachelor’s degree or above in a technical field (e.g., Computer Science, Engineering, Mathematics), or equivalent industry experience. 3+ years of hands-on experience in automation testing for mobile devices Strong programming skills in JavaScript/TypeScript (preferred), or Python/Java. Experience with automation frameworks (e.g. Puppeteer, Appium,, WebDriverIO, Selenium, Playwright, T

JavaScriptTypeScriptPythonJava
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📍 Toronto, Canada· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

About the Role: Join us in shaping the future of streaming. Tubi is a free, ad-supported streaming service with a mission to make entertainment accessible to everyone. We serve millions of viewers with a massive library of movies, TV shows, live channels, and personalized recommendations, all without a subscription. As streaming continues to evolve, Tubi is building the technology, product experiences, and platform capabilities that help people discover and enjoy content effortlessly across every screen. If you’re excited by consumer-scale mobile engineering, high-quality user experiences, and the opportunity to impact how millions of people watch entertainment, we’d love to meet you. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. About the team: The Android team at Tubi builds the app experience that millions of users rely on to discover, browse, and watch content. We care deeply about performance, stability, accessibility, and thoughtful product execution. Our work spans core playback experiences, content discovery, personalization, onboarding, advertising experiences, and the mobile platform foundations that help teams ship quickly and safely. As a Senior Android Engineer, you will design, build, and deliver high-quality product features for Tubi’s Android app. You’ll work closely with Product, Design, Backend Engineering, QA, Data, and other client teams to create intuitive, reliable, and scalable mobile experiences. You’ll also help guide technical direction, improve engineering standards, mentor other engineers, and contribute to the long-term health of our Android codebase. This is a role for someone who enjoys building polished consumer products, solving complex technical problems, and raising the bar for Android engineering. What you’ll do Build elegant, performant, and reliable Android experiences using Kotlin and modern Android development practices Lead the full l

CI/CDAIKotlinGo
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📍 Toronto, Canada· Full-time
✓ High-confidence listing

From C$75K/yr

Quick readStrong listing-quality and freshness signals

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. About the Team Appian Customer Success is obsessed with delivering exceptional customer outcomes and high-velocity business impact. Our Public Sector team acts as a trusted strategic partner to government agencies and organizations, bringing their most vital ideas to life. By joining this high-performing team, you will strengthen and evolve your technical consulting skills while accelerating the adoption of our AI-Powered Process Automation platform across critical public infrastructure. As a Senior Consultant, you will step into a pivotal leadership role at the intersection of public sector strategy and modern technical innovation. This is your opportunity to move beyond isolated coding tasks and own the end-to-end delivery of highly visible, complex enterprise systems. You will lead small engineering teams, architect robust integrations, and serve as a trusted technical advisor to client stakeholders - enabling enterprise organizations to achieve true Enterprise-Grade Orchestration . What You’ll Do Lead Project Delivery: Oversee and drive the entire project lifecycle to define, design, and implement custom automation solutions using the Appian platform. Mentor & Develop Talent: Actively lead, coach, and mentor junior consultants through fast-paced software implementations, fostering a culture of technical excellence. Architect Integrations: Build seamless data pipelines and robust APIs to integrate multiple external enterprise systems using REST, SOAP, and JDBC connections. Drive Data Modeling: Design and launch sophisticated relational data

SQLAWSRestAgile
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📍 Toronto, Canada· Full-time
✓ High-confidence listing

From C$100K/yr

Quick readStrong listing-quality and freshness signals

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Appian Customer Success is obsessed with delivering exceptional customer outcomes and driving mission-critical business impact. Grounded in our core values of Excellence and Intensity, we act as elite technical advisors to our commercial clients. By joining this high-performance team, you will champion a culture of candid communication and excellence while accelerating global adoption of our AI-Powered Process Automation platform. As a Principal Consultant, you will occupy a leadership position at the intersection of enterprise business strategy and complex technical delivery. This role matters now more than ever because you won't just execute projects - you will define the client experience and how they are delivered. You will partner directly with Appian Architects and Technical Delivery Managers, lead large-scale consulting initiatives, and serve as a vital mentor to the next generation of engineers, ensuring our clients achieve world-class Enterprise-Grade Orchestration. What You’ll Do Lead Enterprise Delivery: Command the entire project lifecycle to define, design, and implement custom automation solutions using the Appian platform for major commercial clients. Direct High-Performing Teams: Lead and mentor consultants through fast-paced software implementations, instilling a dedication to going "beyond completion." Partner with Leadership: Collaborate directly with Appian Architects and Technical Delivery Managers to design resilient, scalable, and secure system architectures. Architect Complex Integrations: Build secure, high-throughput APIs

SQLAWSRestMachine Learning
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📍 Toronto, Ontario, Canada· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

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. At Tenstorrent, we're building cutting-edge AI compute solutions. Developing diagnostics programs to validate the functionality and stress the performance of our solutions is a critical part of delivering exceptional products. We are looking for Engineers to join our Diagnostics Development team. These engineers will work closely with our firmware, software, board, ASIC design and verification teams to ensure that the ASICs, boards, and AI compute systems meet the highest standards of quality and performance. 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're curious, hands-on, and excited by the challenge of building powerful systems that sit at the intersection of hardware and software. You enjoy working close to the metal, whether that’s writing code, debugging hardware, or exploring how systems perform under stress. You thrive in collaborative environments and love learning from teammates across disciplines like firmware, ASIC design, and manufacturing. You’re motivated by impact and want to contribute to technology that’s shaping the future of AI and computing. What We Need A

AWSAISEMHR
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📍 Toronto, Ontario, Canada· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

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

AWSAIGoSEM
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📍 Toronto, Ontario, Canada· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

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 and help bring next-generation AI accelerator technology from silicon bring-up to production. You’ll work at the forefront of hardware innovation, diagnosing complex issues across chips, systems, firmware, and software while collaborating with some of the brightest engineers in the industry. This role offers the opportunity to solve challenging technical problems, build impactful debug solutions, and directly influence the reliability and performance of cutting-edge AI compute platforms. 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 A hands-on hardware debug engineer who thrives on solving complex, cross-functional problems at the intersection of silicon, firmware, and software. A curious and analytical problem solver who enjoys digging into failures, identifying root causes, and driving issues from initial discovery through resolution. An engineer with strong post-silicon validation and bring-up experience who is comfortable working in the lab and getting deep into system-level behavior. Someone who enjoys building tools, improving debug methodologies, and creating

PythonAWSAISEM
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📍 Toronto, Ontario, Canada· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

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 skilled Software Engineer with a passion for building high-performance, low-level systems software. In this role, you’ll contribute to the development and optimization of the infrastructure that powers our cutting-edge processors, with a primary focus on C/C++ development and low-level programming. You'll work closely with large inference and training model development to further drive Scale Out software and hardware performance. This role is hybrid, based out of Toronto, ON. Who You Are Strong C or C++ systems engineer with a deep understanding of memory, threading, I/O, and low-level execution models. Experienced building low-level software, drivers, embedded systems, or performance-critical infrastructure. Comfortable working close to hardware and curious about how systems behave under the hood. Proficient with Linux systems programming and debugging tools such as gdb, strace, and perf. Structured problem solver who thrives in fast-paced, highly technical environments. What We Need Design, develop, and maintain core infrastructure software that interfaces directly with Tenstorrent hardware. Build low-level libraries and APIs for communication and synchronization across compute nodes. Optimize system-level software for performance, scalability, and reliability in distributed environments. Support hardware

AWSLinuxAIC++
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📍 Toronto, Ontario, Canada· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

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 looking for a Staff Digital Design Engineer to help define, build, and optimize high-performance IP and SoC architectures for next-gen AI and compute workloads. This role is ideal for engineers who thrive at the intersection of microarchitecture, RTL implementation, and performance-aware design. This role is hybrid, based out of Toronto, Ottawa, Boston, or Austin. 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 digital design expert with a deep understanding of computer architecture and IP microarchitecture. Skilled in RTL development (Verilog/VHDL) and familiar with full ASIC flows. Comfortable optimizing for power, performance, and area (PPA) under aggressive design goals. A naturally collaborative and technical engineer — you thrive in spec definition, peer reviews, and team-wide planning. What We Need Architecture and RTL implementation of Tenstorrent’s custom IP blocks and SoC components. Performance-aware design decisions for compute, interconnect, or memory-heavy blocks. Occasional contributions to validation using emulation, FPGA prototyping, or UVM flows. Strong synthesis and timing closure awareness to support backend

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