The Cloud Automation Engineer designs, builds, and operates automation-first cloud infrastructure platforms using Infrastructure-as-Code (IaC), CI/CD, and serverless automation. The role enables secure, repeatable, and resilient cloud environments through standardized automation, self-service capabilities, and codified governance primarily in Microsoft Azure, with tertiary exposure to AWS. 

This role partners closely with Cloud Platform Engineering, Security, Network, and Operations teams to ensure all automation solutions are secure-by-design, private-network-first, and resilient by default, including full lifecycle support for business continuity and disaster recovery (BC/DR) implemented through IaC. 

What will you do?

​​Infrastructure-as-Code (IaC) & Cloud Automation 

• Design, develop, and maintain Infrastructure-as-Code using Terraform, ensuring infrastructure is reproducible, testable, and auditable. 
• Build and maintain reusable IaC modules aligned with platform standards, security guardrails, and network architecture patterns. 
• Implement automated provisioning, configuration, scaling, and decommissioning workflows for cloud infrastructure and shared services. 
• Define and maintain code repositories following industry BEST PRACTICES and strong code repository governance 
• Design and maintain BC/DR capabilities and recovery environments using Infrastructure-as-Code.  
• Automate recovery environment deployment and support validation/testing routines to ensure recoverability and resilience. 

CI/CD Pipeline Engineering  

• Design, implement, and maintain CI/CD pipelines for infrastructure and platform automation. 
• Integrate testing, validation, and policy enforcement into pipelines to promote safe and consistent changes. 
• Enable repeatable deployments across environments using modern DevOps practices. 

​​​​Azure Automation & Serverless Engineering 

• Build automation solutions using PowerShell, Azure Logic Apps, Azure Automation Accounts, and Azure Functions. 
• ​Develop event-driven and scheduled automation for platform operations, governance processes, and operational workflows. 
• ​Implement robust secret management and secure runtime configuration practices. 
• ​Develop and maintain automation using PowerShell, Python, and Bash scripting.  
• ​Use appropriate scripting/tools to enable orchestration, integration, validation, and operational automation across platforms.

​​Collaboration and Support​ 

• Work closely with other IT teams to integrate cloud network solutions with existing systems and applications. 
• ​​Troubleshooting, diagnosing, and resolving hardware, software, and other network and system problems including router, switches, firewalls, wireless controllers and VPN concentrators. 
• ​Maximizing network performance by monitoring activity and utilizing observability tools such as Dynatrace and Azure monitoring. 
• ​Monitoring and maintenance of company-wide AV (Audio-Video) infrastructure – such as conference rooms, collaboration spaces etc.  
• ​Serve as the on-call network engineering for after-hours escalation issues as part of the company on-call rotation schedule.​ 

Modern Observability & Operational Telemetry ​ 

• Ensure automation solutions are observable and operationally supportable by integrating with modern observability platforms such as Dynatrace, Datadog, and Azure-native tooling including Azure Monitor and Azure Log Analytics. 
• Develop dashboards, alerts, and operational insights, enabling faster detection and root-cause analysis (RCA) by using telemetry (metrics/logs/traces) and platform standards. 
• Use modern query languages such as DQL (Dynatrace Query Language) and KQL (Kusto Query Language), with secondary knowledge of SQL, to support troubleshooting, insights, and automation-driven operations

Security & Compliance Engineering

• Embed cloud security and technology security best practices into all automation solutions (identity, secrets, least privilege, logging, secure configuration baselines). 
• Partner with Security teams to ensure automation aligns with enterprise security requirements and audit expectations. 
• Ensure changes are traceable and auditable through source control and deployment records. 
•  Apply a strong foundation in cloud network theory to ensure automation processes are designed with a private networking first priority.  
• Ensure automation supports secure connectivity patterns (segmentation, routing considerations, controlled ingress/egress, and service endpoint/Private Link-style design patterns where applicable). 

What will you need to succeed in this role?

• Undergraduate degree in Engineering or related field with ​​one of the Certifications: AZ-104, AZ-400, Terraform Associate or Terraform Authoring and Operations Professional​ 
• Minimum of 5 years of experience with batch scripting languages 
• ​Minimum 3 years of experience with technology process automation using tools such as Azure Functions, Logic Apps, Automation Accounts, Lambda or Power Platform 
• ​Minimum 2 years DevOps experience 
• ​Relevant certifications such as AZ-104, AWS CloudOps Engineer  
• ​AZ-400 certification is highly desirable  
• ​Minimum of 3 years of experience with Infrastructure as Code technologies such as Azure BICEP, ARM or Terraform. Preference to direct Terraform experience. 
• ​Minimum of 2 years of experience with private cloud networking concepts
• Technical Expertise: Proficiency in infrastructure technology automation, working within cloud platforms such as AWS, Azure, or Google Cloud.
•  In-depth understanding of system automation scripting technologies using common scripting languages such as PowerShell, Bash or Python.  
• ​​In-depth understanding of high availability, disaster recovery, multi-site architecture, serverless micro-service automation architecture, and hybrid cloud service integration is a must.​
• ​Infrastructure as Code Knowledge: Strong understanding of Infrastructure-as-Code concepts and technologies (e.g. Terraform, BICEP, ARM, Git).
• Ability to build Terraform code based on technology infrastructure architecture designs and service catalogue standards.
• Knowledge of Git repository branch strategies and code repo best practices.
• Automation and Integration Skills: Experience with serverless automation tools across hybrid cloud providers to build integration and automation processes based on business need.
• ​Hands-on experience with serverless automation tools such as Azure Automation Accounts, Logic Apps, Functions, AWS Lambda and Data Factory.
• Strong understanding of object-oriented scripting using common script languages like PowerShell, Bash or Python.
• Working experience with vendor API tools for use within automation and integration processes.
• ​Problem-Solving: Ability to diagnose and resolve complex micro-service and CI/CD issues.
• Ability to diagnose and resolve complex micro-service and CI/CD pipeline issues across a hybrid cloud environment.
• Act as SME and tier 3 support for troubleshooting of deployed automation and integration solutions.
• Solving and conducting disaster recovery operations when required
• Communication: Excellent verbal and written communication skills to collaborate effectively with team members and stakeholders.
• ​Project Management: Ability to manage multiple projects and prioritize tasks effectively. 

#LI-Hybrid

The expected base salary range for this position is $64,500 - $114,500. Depending on your relevant experience, skills, qualifications, market conditions and business needs, base compensation may vary. You have the potential to earn more through Gore Mutual’s discretionary bonus program which gives you an opportunity to increase your total compensation, provided the business meets its performance targets and you meet your individual goals.

Please note: This range reflects the expected base salary for this role but may not represent the full compensation range for all experience and skill levels. During the recruitment process, we will discuss and consider how your unique qualifications align with the broader range for this position.

Gore Mutual is proud to offer a comprehensive total rewards package which includes extended health and dental benefits, disability insurance, retirement plan matching, paid time off, recognition and perk programs.

#LI-Hybrid

At IEM, we’re not just building innovative electrical distribution systems, we’re shaping the future. IEM is dedicated to delivering world-class solutions for complex power needs. After 75 years, we continue to push the boundaries of what’s possible. Whether you’re an experienced professional or just starting out, you’ll have the opportunity to contribute, grow, and make a lasting impact on industries that power the world’s most dynamic markets.

IEM is currently seeking a Quality Systems Technician for our Surrey, B.C. locations and will report into the Quality Systems Leader. The Quality Systems Technician plays a key role in supporting the development, implementation, and maintenance of digital quality systems, smart tools, and quality infrastructure. Reporting to the Lead Quality Systems Engineer, this role focuses on setting up systems, troubleshooting technical issues, and enabling the smooth integration of quality processes within manufacturing operations. 

Please note: This position requires 100% in-office presence in our Surrey offices and does not offer remote work.

Key Responsibilities:

• Support the setup, configuration, and validation of quality systems, including smart tools, AI cameras, and digital inspection devices.
• Assist in troubleshooting issues related to EQMS platforms, smart inspection systems, and quality data capture tools.
• Work with engineering, IT, and quality teams to integrate new tools and systems into production processes.
• Help build and maintain process flows, control plans, and digital documentation related to quality system infrastructure.
• Support the digitization, automation, and standardization of quality and traceability records, including inspection data, testing logs, serialization records, and process verification checkpoints.
• Contribute to the creation and refinement of standard operating procedures (SOPs), work instructions, and user guides related to quality systems.
• Participate in pilot runs and process trials to validate functionality and integration of smart quality tools.
• Monitor system performance and escalate recurring issues or improvement opportunities.
• Maintain accurate documentation of setups, system changes, and configuration parameters.
• Provide technical support to shop floor users to ensure quality systems are functioning correctly.
• Assist in quality-related training sessions for new tools or systems implementation.
• Coordinate with vendors or suppliers when technical support or software updates are needed for system hardware or software.
• Perform other duties as needed to support the implementation and sustainability of quality system initiatives.
• Ability to develop & update programs and scripts for data validation, data sorting, automation, and creation of dashboards and visual reporting tools. 
• Familiarity with serialization, traceability systems, digital quality records, and manufacturing data management principles is strongly preferred.

Qualifications:

• Diploma or technical certification in Quality, Engineering Technology, Mechatronics, or a related technical field.
• 2+ years of experience in a manufacturing or engineering support role, preferably with exposure to quality or production systems.
• ⁠Experience with programming, scripting, or data visualization tools such as Python, SQL, VBA, or similar platforms is considered an asset.
• Familiarity with EQMS platforms, process automation, or smart inspection technologies is an asset.
• Strong troubleshooting and problem-solving skills in both hardware and software environments.
• Ability to read technical drawings, flowcharts, and system diagrams.
• Comfortable working in a cross-functional environment with engineering, IT, and operations teams.
• Proficient in Microsoft Office and experience with digital tools used in quality systems.
• Good communication skills and a detail-oriented mindset.
• Knowledge of lean manufacturing or six sigma principles is a plus.
• Demonstrated career ambition with a track record of growth and increasing responsibility; highly promotable with the potential to take on broader leadership roles within a fast-paced, high-growth organization 

Working Conditions:

• Split between office and shop floor environments.
• May require light hands-on work for system setup, testing, and troubleshooting.

Compensation actually offered for this role will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. 

[Compensation Range: CAD $25.00 - $33.00/hr] 

About The Role

The Inference Core Platform group is at the heart of Cerebras' mission to deliver the world’s fastest AI inference. Our team builds the foundational software and hardware infrastructure that powers low-latency, high-speed, high-throughput deployment on the Cerebras Wafer-Scale Engine (WSE). We are responsible for the full stack—from model compilation and scheduling down to custom hardware kernels and driver development.

The ML Performance Benchmarking team plays a pivotal role in shaping the performance and scalability of AI inference on one of the most advanced computing systems ever built. We drive the bring-up of core inference capabilities and deliver performance improvements at every stage of development – from early prototyping to production deployment.

We're looking for passionate engineers to join us in redefining the limits of AI inference. If you thrive on building systems that measure, analyze, and optimize performance at scale, this is your opportunity to make a transformative impact on the future of AI.

Scope of the team includes:

• Core Inference Observability – Design and implement end-to-end telemetry systems across the software stack, providing deep visibility into inference performance and enabling rapid iteration before and after deployment.
• Benchmarking Infrastructure – Architect, build, and scale the automation that generates, analyzes, and visualizes performance data used to inform business decisions across engineering and leadership.
• Performance Analysis – Dive deep into system behavior, dissect performance bottlenecks, and deliver actionable insights that directly influence which features ship and how they evolve.
• Feature Integration – Partner closely with Core Platform teams to define rigorous testing methodologies that validate inference features for peak performance.

Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Engineering, Systems Engineering, or a related field.
• Proficiency in Python and/or C++ programming.
• Proven experience in building and scaling automated infrastructure.
• Strong background in throughput and performance optimization techniques, especially in complex, large-scale systems.
• Excellent problem-solving skills and a strong analytical mindset.
• Demonstrated ability to dive deep into new domains.
• Ability to work in a fast-paced, ambiguous, and collaborative environment.

Preferred Skills & Qualifications

• Familiarity with problem-solving at the intersection of hardware and software.
• Hands-on experience with AI workloads and architectures is a plus.

Location

• On-site or hybrid at our Toronto office

#LI-WA1

This post is describing an existing vacancy at SIE.  As part of the Foundational Systems and Experiences Engineering (FSEE) organization, this role contributes directly and takes ownership of the infrastructure, tooling, and automation that empower PlayStation developers worldwide. Our team builds and maintains the systems that support build, test, and release workflows across console, mobile, web, and PC platforms. The ideal candidate is passionate about developer productivity, highly collaborative, and motivated by solving complex technical problems that enable development teams to deliver exceptional experiences to PlayStation users.

This position offers the opportunity to work at global scale, partnering with engineering, QA, operations, and platform teams to enhance delivery pipelines, streamline development processes, and ensure the reliability, security, and scalability of the platforms that power the PlayStation ecosystem, while influencing technical direction within their domain.

Responsibilities

• Design, develop, and maintain software build and release pipelines that support delivery across PlayStation consoles, Web, Mobile, and PC platforms.

• Automate provisioning, configuration, and lifecycle management of cloud infrastructure using Infrastructure-as-Code (IaC) to enable consistent, secure, and scalable deployments.

• Build internal tools and applications that streamline development workflows and accelerate software delivery.

• Engage closely with dependent engineering, QA, and operations teams to understand requirements, remove obstacles, and ensure smooth end-to-end delivery, often driving alignment across teams.

• Monitor and analyze telemetry (metrics, logs, traces) to detect issues, identify improvement opportunities, and lead efforts to improve operational excellence across CI/CD systems and tools.

• Develop dashboards and visualizations to communicate system performance, reliability, and pipeline health.

• Identify and resolve CI/CD challenges proactively, providing support to development teams and continually improving system resilience.

• Produce clear, high-quality documentation including tutorials, how-to guides, references, and conceptual explanations for infrastructure, pipelines, and internally developed tools.

• Collaborate with globally distributed team members and developers across all SIE offices to design and deliver scalable PlayStation software experiences.

• Work across diverse web technology stacks and environments, adapting solutions to multiple platforms and application architectures, and guiding best practices where appropriate.

Skills & Qualifications

Minimum Requirements

• Bachelor’s degree or equivalent in Computer Science, Engineering, or a related field.

• Strong understanding of object-oriented programming principles.

• Knowledge of fundamental data structures and algorithms.

• Experience with Git and GitHub for source control and workflow management.

• Experience developing with JavaScript and/or TypeScript.

• Familiarity with modern web technologies, package managers, and frameworks.

• Experience with container orchestration (Docker, Kubernetes).

• Comfort working within Linux environments and command-line tooling.

• Experience with CI/CD systems such as Jenkins or GitHub Actions.

• Excellent communication, collaboration, and problem-solving abilities.

Preferred Requirements

• Experience integrating or developing against RESTful APIs.

• Understanding of Linux and Windows operating system fundamentals.

• Familiarity with observability platforms (Grafana, Prometheus, Loki, etc.).

• Strong understanding of Infrastructure As Code, and experience with Cloudformation or CDK

• Extensive experience working with AWS services (e.g., EC2, EKS, S3, RDS, etc.).

• Hands-on experience with CI/CD workflows, using Jenkins or GitHub Actions at an advanced level.

Overview

This post is describing an existing vacancy at SIE. As part of the Foundational Systems and Experiences Engineering (FSEE) organization, this role contributes directly to the infrastructure, tooling, and automation that empower PlayStation developers worldwide. Our team builds and maintains the systems that support build, test, and release workflows across console, mobile, web, and PC platforms. The ideal candidate is passionate about developer productivity, highly collaborative, and motivated by solving complex technical problems that enable development teams to deliver exceptional experiences to PlayStation users.

This position offers the opportunity to work at global scale, partnering with engineering, QA, operations, and platform teams to enhance delivery pipelines, streamline development processes, and ensure the reliability, security, and scalability of the platforms that power the PlayStation ecosystem.

Responsibilities

• Design, develop, and maintain software build and release pipelines that support delivery across PlayStation consoles, Web, Mobile, and PC platforms.
• Automate provisioning, configuration, and lifecycle management of cloud infrastructure using Infrastructure-as-Code (IaC) to enable consistent, secure, and scalable deployments.
• Build internal tools and applications that streamline development workflows and accelerate software delivery.
• Engage closely with dependent engineering, QA, and operations teams to understand requirements, remove obstacles, and ensure smooth end-to-end delivery.
• Monitor and analyze telemetry (metrics, logs, traces) to detect issues, identify improvement opportunities, and drive operational excellence across CI/CD systems and tools.
• Develop dashboards and visualizations to communicate system performance, reliability, and pipeline health.
• Identify and resolve CI/CD challenges proactively, providing support to development teams and continually improving system resilience.
• Produce clear, high-quality documentation including tutorials, how-to guides, references, and conceptual explanations for infrastructure, pipelines, and internally developed tools.
• Collaborate with globally distributed team members and developers across all SIE offices to design and deliver scalable PlayStation software experiences.
• Work across diverse web technology stacks and environments, adapting solutions to multiple platforms and application architectures.

Skills & Qualifications

Minimum Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• Strong understanding of object-oriented programming principles.
• Knowledge of fundamental data structures and algorithms.
• Experience with Git and GitHub for source control and workflow management.
• Experience developing with JavaScript and/or TypeScript.
• Familiarity with modern web technologies, package managers, and frameworks.
• Experience with container orchestration (Docker, Kubernetes).
• Comfort working within Linux environments and command-line tooling.
• Experience with CI/CD systems such as Jenkins or GitHub Actions.
• Excellent communication, collaboration, and problem-solving abilities.

Preferred Requirements

• Experience integrating or developing against RESTful APIs.
• Understanding of Linux and Windows operating system fundamentals.
• Familiarity with observability platforms (Grafana, Prometheus, Loki, etc.).
• Experience working with AWS services (e.g., EC2, EKS, S3, RDS, etc.).
• Hands-on experience with CI/CD workflows using Jenkins or GitHub Actions beyond basic usage.

The Role

As a Lead Software Engineer, you’ll wear two hats: driving complex technical projects from conception to delivery while coding alongside the team, and providing people leadership to a small group of direct reports (3–5 engineers). This role is designed to keep you technical—we aim for a 70/30 split between building and managing. This is hands-on technical leadership with meaningful people impact.

We’re building the next generation of sleep technology that seamlessly connects millions of IoT devices through complex mobile applications. Our iOS and Android apps handle real-time Bluetooth/Wi-Fi communication with hardware, process massive datasets, and maintain sub-second response times across distributed systems.

This role has broad scope across the mobile organization — you’ll collaborate across our three Hatch Pillars (Adult, Kids, Foundations) and partner with mobile engineers throughout the teams. This role also means stepping into AI-forward technical leadership. Hatch is all-in on AI-assisted development — it's not a future state, it's how we work today. The right person will help us continue raising the bar on how our engineers use these tools, set expectations for what good looks like, and model that for others.

You’ll play a meaningful role in work that spans the full Hatch product experience: transitioning from device-first to service-first experiences, launching AI-powered sleep chat to scale expert guidance, and building features that drive daily engagement. You’ll help shape the technical foundation across the mobile platform and contribute to initiatives that touch every part of what Hatch builds.

What You’ll Do

Week 1

• Ship your first code to production and begin to establish credibility with the engineering team.
• Review existing codebase and identify immediate technical improvements.

Within 3 Months

• Technical Leadership: Own delivery of major features, and jump into production issues or improvements, debug cross-platform problems spanning mobile/firmware/backend
• Cross-Pillar Ramp: Get hands-on across Pillar 0, 1, and 2 during your rotation, building context on how the full mobile platform fits together. Begin contributing meaningfully to your team’s initiatives — shipping features, improving platform reliability, and driving daily app engagement
• Project Ownership: Understand problem spaces, partner with stakeholders to shape project scope, and bring Engineering Requirements Docs (ERDs) to Engineering Forums
• People Management: Take on your direct reports. Establish regular 1:1 cadence with direct reports, providing feedback and discussing professional development
• Cross-functional Collaboration: Work closely with Product, Design, QA, and other stakeholders to scope, plan, and rapidly ship features
• AI Integration: Champion AI-assisted development practices within your team — not just using the tools yourself, but creating the conditions where others adopt them faster and go deeper.

Within 6 Months

• Technical Leadership: Lead cross-team technical initiatives, establish team standards for code quality, and mentor junior & senior engineers
• Navigate Project Ambiguity: Break down complex projects into concurrent tasks, advocate for incremental shipping, and share progress openly
• People Development: Set goals and learning plans for direct reports, identify growth opportunities, and guide them to be effective both technically and professionally
• Pillar Partnership: Serve as a strong Engineering partner to product and pillar leadership across the organization, building working relationships with leads throughout the mobile team. Help determine resourcing needs and drive your team toward business goals — with an eye on how your work connects to the platform as a whole
• Raise the AI Bar: Establish clear expectations around how the team uses AI tooling. Help define what "good" looks like so that as new engineers join, there's a standard to onboard into, not just an assumption.

After 1 Year

• Strategic Impact: Drive business strategy through mobile initiatives and shape the roadmap across the mobile organization — contributing to platform decisions that benefit all pillars and the people who use Hatch every night
• Team Building: Assist with identifying resource needs, actively participate in hiring, and help onboard new engineers
• Process Optimization: Collaborate with teams and business partners to develop processes that enable the organization to deliver business value quickly
• Performance & Growth: Conduct performance reviews and represent your direct reports’ development to leadership

What You’ll Bring

• Deep Mobile Craft: You’ve spent 6+ years building mobile apps that matter—whether in Swift/SwiftUI or Kotlin/Jetpack Compose. You care about code quality, reliability, and making great experiences for real people
• Technical Leadership: You love leading by example—writing production code, unblocking others, and helping teams make smart, pragmatic decisions. You’re as comfortable setting direction as you are rolling up your sleeves
• People Growth: You believe great teams make great products. You’ve managed and/or mentored engineers, built trust, and created environments where people do their best work
• Collaborative Energy: You thrive in cross-functional spaces—partnering with Product, Design, and other engineering leaders to turn ideas into reality. You communicate clearly and lead with empathy
• AI Leadership: You don't just follow AI trends — you shape how your team works with them. You're already using AI tools to build faster, think sharper, and raise the bar on what's possible. You'll help set the standard for how Hatch's mobile team continues to evolve as the tooling does.
• Broad Technical Reach: You bring experience with modern mobile tooling, CI/CD, testing, and cloud services—and you’re always eager to explore new technologies, tech stacks, and approaches

Deal Breakers

• Need extensive mobile onboarding or mentoring on technical leadership
• Haven’t led complex technical projects or managed direct reports
• Looking for pure management or pure IC role
• Unable to balance hands-on coding (70%) with people leadership (30%)
• Not interested in partnering closely with product managers, designers, and other stakeholders
• Needs full clarity before acting — you'll be expected to drive through ambiguity, not wait for it to resolve.

Software Engineer II, Contractor

Waterloo, ON

PlayStation is looking for a Software Engineer to help build our next generation technologies. Are you ready for a rare opportunity to deliver high quality, thoroughly tested code at one of the world’s most recognizable brands? We’re doing really cool things with web technologies like React, React Native, and more to keep PlayStation the #1 gaming platform in the world.

Yes, there is a Sony office in Waterloo, Canada! We are located in the heart of uptown Waterloo with many phenomenal restaurants and social opportunities right outside the door. We have a very flexible work from home policy: live close enough to the office for occasional in-person meetings and events, otherwise work in the office as much or as little as preferred! Although your home base will be Waterloo, the team includes members in other PlayStation offices - strong abilities to collaborate in a hybrid environment is a must.

Responsibilities:

• Develop, test and document JavaScript-based business critical web features and applications

• Work with Product Owners and Product Managers to understand feature requirements, gather technical requirements and craft solutions for JavaScript-based components and applications for the PlayStation ecosystem

• Passionate about quality and strives to improve processes, proposes standard methodologies and drives their usage within the teams

• Write unit tests and component tests for features with key characteristics of stability and maintainability which prevent regressions in the product code.

• Work quickly and effectively in a fast-paced ever-evolving environment

• Work independently and collaborate with internal and external engineers 

• Work with other team members by reviewing and giving feedback on pull requests and design plans

• Exercise your feature building capabilities and collaborate within your team to optimize existing solutions as well

• Participate in Hackathons and Cafe Days to improve your skills and increase innovation at PlayStation.

Required Qualifications:

• Bachelor’s degree in Computer Science or equivalent, or at least 5 years of relevant professional experience in lieu of a degree

• You possess 2+ years professional web development experience

• Highly proficient in customer facing UI Development using HTML, CSS, the JavaScript ecosystem and familiarity with popular frameworks like React, Angular, Ember, Jest, Babel, and TypeScript

• Experience collaborating with multi functional partners, especially with product, design, and server engineering

• Domain proficiency in performance optimization or comparable areas within your current field.

• Strong problem-solving skills

• Ambitious with an ability to take initiative

• A passion for robust sustainable code

Bonus:

• Expertise with SPA/front-end frameworks such as React, Angular, or similar

• Experience with React Native

Software Engineer II, Front End

Waterloo, ON

PlayStation is looking for a Software Engineer to build our next-generation technologies and applications. Are you ready for a rare opportunity to deliver high-quality, thoroughly tested code at one of the world’s most recognizable brands? We’re doing really cool things with web technologies like React, React Native, and more to keep PlayStation the #1 gaming platform in the world.

This is a hybrid role. We offer a flexible work-from-home policy. In-person meetings may sometimes be required. Otherwise, you can work in the office as much or as little as you prefer. We also host many social and team bonding events in our Waterloo campus. 

 The team

This team focuses on building Payments client experiences for PlayStation consoles, websites, mobile applications and beyond. These features serve millions of users around the world. If you strive for outstanding UX, improving performance for a fast experience, and the blend of games and technology, please apply. 

 Responsibilities:

• Develop, test and document business critical features and applications
• Work with Product Owners and Product Managers to understand feature requirements, capture technical requirements and craft solutions for components and applications for the PlayStation ecosystem
• Passionate about quality and strives to improve processes, proposes standard methodologies and drives their usage within the teams
• Developing JavaScript-based applications for PlayStation gaming consoles, web, mobile and future flagship Sony devices and services
• Building digital commerce solutions for PlayStation games, media content, subscription services and more
• Write robust unit and component tests to ensure reliability and prevent regressions.
• Work quickly and optimally in a fast-paced ever-evolving environment
• Work independently and collaborate with internal and external engineers
• Work with other team members by reviewing and giving feedback on pull requests and design plans
• Define and refine technical approaches that support performance, accessibility, and scalability.
• Exercise your feature building capabilities and collaborate within your team to optimize existing solutions as well
• Deploying platform experiences through CI/CD pipelines
• Monitoring software releases, analyze telemetry, and adapt to production data
• Continuously learn, experiment, and bring forward innovative ideas — participate in Hackathons and Café Days to help shape the future of PlayStation experiences.

 Required Qualifications:

• Bachelor's degree or equivalent, or 3+ years of relevant work experience instead of a degree
• 2-3 years of building product experiences with proficiencies in UI technologies
• A passion for robust sustainable and high-quality code
• Excellent communication and collaboration skills
• Strong technical, analytical, and problem-solving skills
• Capable of producing detailed design and development documentation

Preferred Qualifications:

• Using HTML, CSS, the JavaScript ecosystem and familiarity with popular frameworks like React, Angular, Jest, and TypeScript
• Familiarity with GraphQL, TanstackQuery, REST APIs, and containerization tools such as Docker.
• Understanding of build pipelines and CI/CD standards, especially across multiple platforms.
• Experience working with performance optimization, accessibility, and responsive design principles.
• Curiosity about AI-assisted development tools or automation that improves developer efficiency

Job Summary

Join PlayStation as a Tools & Build Software Engineer to drive the future of CI/CD, designing and optimizing scalable pipelines for global game development. This role offers the chance to lead critical initiatives, mentor talent, and shape best practices in a dynamic entertainment leader.

Job Role Responsibilities:

• Design, develop, and maintain scalable CI/CD pipelines across diverse platforms (PlayStation consoles, Web, Mobile, PC) with a focus on Jenkins and GitHub Actions
• Modernize and standardize build, test, and release workflows across teams, ensuring reliability, speed, and developer efficiency
• Partner closely with engineering, QA, and operations teams to understand their workflows and proactively build solutions that remove friction
• Own the strategy for pipeline health: implement monitoring, automated recovery, and continuous improvements to minimize build/test failures and downtime
• Develop tools and frameworks to improve build reproducibility, dependency management, and artifact handling
• Collaborate with global teams to drive alignment on CI/CD strategy and support large-scale software delivery at PlayStation

Minimum Requirements:

• Strong understanding of software engineering fundamentals, including object-oriented principles, data structures, and algorithms
• Experience with version control (Git, GitHub)
• Hands-on experience with Jenkins and/or GitHub Actions at scale
• Experience with containerization (Docker) and working with Linux-based build environments
• Proven ability to design and maintain scalable build and automation pipelines in complex engineering environments
• Excellent problem-solving and debugging skills in CI/CD contexts

Preferred Requirements:

• Experience leading CI/CD initiatives or driving adoption of new build/release systems across multiple teams
• Experience with Kubernetes or similar orchestration technologies
• Knowledge of Linux and Windows build environments, including cross-compilation or multi-platform support
• Familiarity with build acceleration techniques (caching, parallelization, artifact repositories)
• Excellent communication and collaboration skills, with the ability to influence across engineering organizations

#LI-RG1

Tenstorrent’s Metal Infra team is all about developer happiness—internal and external. As a Release Engineer Intern, you’ll help automate, maintain, and improve the systems behind our open-source Metal stack (tt-metal on GitHub). From CI pipelines to dashboards and build systems, your work will help teams ship faster and smarter.

This role is hybrid, based out of Toronto.

Who You Are:

• Working toward a CS or Engineering degree (or equivalent experience).
• Comfortable writing clean, reusable Python or C++ code.
• Familiar with CI/CD tools and container tech like Docker.
• Detail-oriented, team-minded, and eager to automate the boring stuff.

What We Need:

• Build and maintain automation tools for build, test, and deploy pipelines.
• Collaborate with dev teams to improve delivery workflows and reliability.
• Support monitoring, dashboards, and metrics to drive better decisions.
• Troubleshoot build and release issues and help prevent them long-term.

What You Will Learn:

• How modern CI/CD pipelines power high-performance hardware-software development.
• Infrastructure automation in a hybrid, multi-platform environment.
• Real-world incident response, debugging, and continuous delivery best practices.
• How open-source tools and internal systems come together in production environments.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

• Enrolled in a Mechanical Engineering or related program (PEY/internship term).
• Comfortable using MCAD tools and standard mechanical lab equipment.
• Organized, hands-on, and ready to learn fast in a lab environment.
• Communicates clearly and pays attention to the details that matter.

• School experience with MCAD software.
• School experience using standard mechanical lab equipment.
• Exposure to thermal or fluid modeling software is an asset.
• Excellent verbal and written communication skills.
• Strong attention to detail and organization skills.

What You Will Learn

• How mechanical design integrates into real-world AI hardware systems.
• Testing techniques for thermal, acoustic, and structural performance.
• Collaboration across electrical, mechanical, and validation teams.
• Best practices in documentation, lab workflows, and system bring-up.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

The IP Product Team is where deep tech meets big-picture strategy. We’re the bridge between engineering brilliance and real-world impact — defining how our core IP comes to life and gets delivered to customers.

We’re looking for an Intern who loves technology and wants to learn how world-class intellectual property (IP) gets transformed into world-changing products. You’ll collaborate with engineers, product managers, and cross-functional teams to help shape the future of Tenstorrent’s RISC-V CPU and AI IP portfolio.

This role is remote, based out of the U.S. or Canada.

Who You Are

• Currently enrolled in an Engineering, Computer Science, Business, or related undergraduate program.
• Have exposure to engineering concepts or environments — you can follow (and enjoy!) a technical conversation, even if you’re not an engineer yourself.
• Have experience or a strong interest in program management, operations management, especially where technology and strategy intersect.
• A clear and confident communicator who loves translating technical detail into actionable insight.
• Highly organized, curious, and ready to take initiative in a fast-moving environment.
• Excited by semiconductors, RISC-V, AI, and the process of turning cutting-edge ideas into products that scale.
• Skilled in applying AI technology to automate, generate, analyze data.

What We Need

• Support in defining and maintaining product documentation, roadmaps, planning and release materials for Tenstorrent IP.
• Coordinate with engineering and product management teams to ensure alignment on milestones and deliverables.
• Assist in gathering and analyzing data to support product decisions and reporting using AI tools.
• Help manage internal tools and processes for IP lifecycle management and customer documentation.
• Participate in cross-functional meetings to capture action items and help drive follow-up execution

What You Will Learn

• How semiconductor IP is developed, tracked, and released at scale.
• The art and science of program management and operations in the world of RISC-V CPUs, AI and hardware innovation.
• Best practices and applying AI in documentation, communication, and product lifecycle management.
• Deep insights into RISC-V architecture, AI accelerators, and the technology shaping the future of compute.

Tenstorrent’s AI Software Infrastructure team builds the platforms that power internal development, orchestrate workloads, and manage large-scale AI hardware across on-prem data centers. This team develops and productionizes infrastructure used both internally and externally on Tenstorrent systems.

This role is hybrid, based out of Toronto, ON; Santa Clara, CA; Austin, TX; Belgrade, Serbia; Warsaw, Poland; or Gdańsk, Poland.

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

• Strong backend or infrastructure engineer with experience building and operating platforms on bare-metal or on-prem systems.
• Deep experience with Kubernetes, including cluster provisioning, operations, and debugging production issues.
• Proficient in Python or Go with experience building APIs and services.
• Comfortable with Linux systems, networking fundamentals, and debugging distributed systems.
• Collaborative and adaptable, able to work across teams in fast-moving environments.

What We Need

• Design, build, and maintain infrastructure platforms for development workflows, workload orchestration, and ML services.
• Develop APIs and services that enable internal teams to interact with infrastructure systems.
• Productionize and scale Kubernetes-based platforms, including cluster management and operational maturity.
• Integrate automation workflows using CI/CD pipelines and infrastructure-as-code tools such as Ansible and GitOps frameworks.
• Collaborate with SRE, infrastructure, and deployment teams to support large-scale on-prem and customer-facing environments.

What You Will Learn

• How large-scale AI infrastructure is built and operated on custom accelerator hardware.
• Advanced Kubernetes patterns including operators, controllers, and production-scale cluster management.
• How on-prem data center infrastructure differs from cloud-native environments at scale.
• How infrastructure platforms evolve from internal tools to production-grade external systems.
• How cross-functional teams coordinate to deploy and support AI systems in real-world environments.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Tenstorrent is seeking a Layout Engineer with expertise in board layout for high-performance computing and  AI hardware. This role requires direct experience with multi-layer boards, HDI vias, blind vias, back drilling, DFM, DFA and routing / layout of interfaces like GDDR, LPDDR, DDR, PCIe Gen 5 & 6, Ethernet IEEE 802.3bj, cd, cf, USB, etc. The ideal candidate will work closely with cross-functional teams consisting of engineers from systems, power, signal integrity and mechanical to ensure that our products meet the layout margins and cutting-edge specifications for mass production boards for data centers, workstations, and consumer computing applications.

This role is hybrid, based out of Toronto, ON 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

• Experienced board layout engineer with ~8+ years in PCB design (Cadence Allegro; Altium a plus).
• Hold a B.S. in EE, CS, or equivalent experience.
• Strong background in high-speed, complex PCBs (high layer count, HDI, multi-lamination, VIPPO, back drilling).
• Comfortable defining and applying layout rules (physical, spacing, length-matching) for high-speed designs.
• Confident working with fabricators on stackups, capabilities, and resolving DFM/DFA/DFT feedback.
• Detail-oriented owner of designs with strong communication skills and the ability to work with an international, cross-functional team.

What we need

• A Layout Engineer to own multi-layer PCB layouts for high-performance computing and AI hardware.
• Expertise routing GDDR, LPDDR, DDR, PCIe Gen 5/6, Ethernet (IEEE 802.3bj/cd/cf), USB and other high-speed interfaces.
• Proficiency with Cadence schematic/layout tools (v25.1) in the Cadence Pulse environment.
• Ability to choose appropriate advanced fabrication technologies (HDI, blind/buried vias, VIPPO, back drilling) balancing performance and cost.
• Skill in floorplanning, component placement, board connectivity, and creation of power/ground planes.
• Collaboration with power, signal integrity, and mechanical engineers to meet PDN, SI, mechanical, thermal, and regulatory (IPC, UL, CE, RoHS, FCC) requirements.

What you will learn

• How to design boards for cutting-edge AI and high-performance computing systems in data center, workstation, and consumer products.
• Techniques to optimize signal integrity, power delivery, and manufacturability for mass-production hardware.
• Best practices for working in a deeply cross-functional environment across systems, power, SI, and mechanical teams.
• Practical experience building around a from-scratch, high-performance RISC-V CPU and AI-first compute platform.
• How to navigate and integrate global industry and regulatory standards while pushing performance limits.
• The direct impact of your layout work on the roadmap and success of a fast-growing AI silicon and systems company.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Tenstorrent is seeking an AI Processor IP Product Engineer to be the technical bridge between our cutting-edge AI processor technology and customer success. You'll guide customers through the integration of our advanced AI processors, RISC-V CPUs, and chiplet solutions into their SoCs, ensuring optimal performance and accelerated time-to-market. If you thrive in customer-facing roles and want to shape the deployment of revolutionary AI hardware across the industry, join our team.

This role is hybrid, based out of Toronto, Canada or Vancouver, 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 customer-focused engineer with deep technical expertise in ASIC design and IP integration.
• Experienced problem-solver who excels at debugging complex system-level issues and silicon bring-up.
• Strong communicator who builds trusted relationships while managing technical engagements across the support lifecycle.
• Passionate about enabling customer success and translating complex technical concepts into actionable guidance.

What We Need

• 3-5 years in the semiconductor industry with a degree in EE or related field.
• Hands-on expertise with ASIC design flows, IP integration, and relevant design views (.lib, LEF, ICL, PDL).
• Strong background in analog/digital design tools, silicon validation, and system-level debug.
• Proven track record in customer-facing engineering roles with excellent communication skills.

What You Will Learn

• How to integrate state-of-the-art AI processors and chiplet architectures into diverse customer SoCs.
• Advanced debugging techniques spanning pre-silicon simulation to post-silicon validation.
• Strategies for influencing product roadmaps through direct customer feedback and technical insights.
• The full spectrum of IP productization—from technical documentation to customer training and support processes.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

We are seeking an IP Software Generalist to develop and optimize the software stack for our IP customers, enabling them to successfully integrate our AI and RISC-V hardware into their systems. In this role, you will build and support a versatile range of software components, from bare-metal firmware and drivers to system-level tools and APIs, ensuring a seamless customer experience. You will partner closely with hardware engineering, IP delivery, customer support, and product teams to deliver robust, scalable, and high-performance software solutions tailored to diverse customer architectures. Success in this role requires adaptability, strong system-level debugging skills, and the ability to bridge the gap between complex hardware IP and user-friendly software integration.

This role is hybrid, based out of Austin, TX; Toronto, ON; 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

• Experienced software engineer with a strong foundation in C/C++, system programming, and low-level software design.
• Background in firmware, device drivers, embedded systems, or hardware-software co-design.
• Skilled at navigating and troubleshooting complex, full-stack software environments.
• Known for working effectively with cross-functional teams and external customers to resolve integration challenges.
• Able to balance versatile, hands-on coding with high-level architectural problem-solving.

What We Need

• Develop, optimize, and maintain software components for Tenstorrent’s hardware IP offerings.
• Define and build reference software, SDKs, and toolchains to streamline the customer integration process.
• Diagnose and resolve complex hardware/software interaction issues during customer bring-up and deployment.
• Drive the creation of high-quality documentation, test suites, and integration guides for IP software deliverables.
• Partner cross-functionally with hardware and architecture teams to ensure future IP designs are optimized for software usability.

What You Will Learn

• How to build and deploy robust software stacks for cutting-edge AI and RISC-V silicon IP.
• How to drive successful hardware-software integration across a diverse range of customer environments and architectures.
• Firsthand exposure to the complete silicon IP lifecycle, from initial bring-up to massive-scale customer deployment.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

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 between systems within large AI clusters.
• Develop requirements, validation plans, and test strategies for passive and active copper cables and optical transceivers at 100G, 400G, 800G, and 1.6T.
• Document topologies, routing assumptions, and cable requirements for internal and customer-facing clusters.
• Perform link and channel budget analysis, including loss, jitter, eye margin, and BER considerations across PVT and aging.
• Lead and execute qualification and reliability testing, including accelerated life testing, mating life, and failure analysis for interconnect components.
• Interface with key industry suppliers, track their roadmaps, and align Tenstorrent’s system designs to future interconnect capabilities.

What You Will Learn

• How to design and validate interconnects for large-scale AI training and inference clusters, spanning multiple generations of Tenstorrent silicon and systems.
• Practical methodologies for closing SI margins at cutting-edge speeds (up to 1.6T) across diverse media (backplane, copper cable, optics).
• How to translate supplier roadmaps and standards into concrete system requirements and deployment constraints for real customer workloads.
• End-to-end exposure to AI system architecture, from rack-level topology choices down to connector, cable, and transceiver details, in collaboration with world-class AI hardware and systems teams.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Our Tensix team is building custom AI compute cores, RISC-V CPUs, and chiplet-based architectures for datacenter, edge, and automotive AI. Design Verification Engineers on this team validate compute IP and subsystems and build scalable DV infrastructure to keep verification fast, automated, and production-grade.

This role is hybrid, based out of Toronto, ON 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

• Experienced in modern verification methodologies with strong SystemVerilog skills and exposure to structured testbench development.
• Comfortable working from block-level to system-level verification and reasoning about microarchitecture behavior from specs and waveforms.
• Proficient in Linux environments with Python, or Bash scripting for automate builds, parse logs, manage CI pipelines.
• Skilled in coverage-driven verification and confident debugging across RTL, testbench, and workload scenarios.
• Motivated by AI hardware and eager to learn verification strategies for new architectures and domains.

What We Need

• Contribute to verification of Tensix IP and subsystems from early planning through tape-out, owning coverage goals and driving them to closure.
• Build and maintain reusable verification environments, agents, scoreboards, and supporting infrastructure in SystemVerilog and Python.
• Develop constrained-random and directed tests and close functional, code, and assertion coverage using data-driven approaches.
• Debug complex issues across RTL and testbench while collaborating with design, firmware, compiler, and architecture teams.
• Help evolve DV infrastructure including regression flows, CI/CD integration, EDA compute environments, and reproducible setups.

What You Will Learn

• How Tenstorrent verifies AI-native compute architectures including Tensix cores, RISC-V CPUs, matrix units, vector units, and datapath.
• How simulation, emulation, and software-driven workloads combine to validate both functional correctness and performance.
• How numerical precision formats such as BF16, FP4, and INT8 and on-chip dataflow impact verification complexity and coverage strategy.
• How to build scalable DV infrastructure across hybrid compute environments including containerized regression systems.
• How data analytics and modern AI tooling can enhance verification workflows and accelerate convergence.

Curious about how cutting-edge hardware actually comes to life? We're looking for someone who’s excited to dive into the core of next-gen systems and help make them real. In this role, you’ll validate high-speed interfaces, solve complex system-level puzzles, and collaborate across teams to shape the future of AI/ML computing. If firmware, hardware, and hands-on debugging sound like your kind of fun — let’s chat!

This role is hybrid and based in Vancouver, 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 love bringing hardware to life and enjoy the thrill of solving tricky problems across the hardware–firmware boundary.
• You’re hands-on in the lab and comfortable with tools like oscilloscopes, protocol analyzers, and JTAG — digging deep doesn’t scare you.
• You’re comfortable jumping into unfamiliar problems and figuring things out — whether it’s in the lab or in firmware.
• You’re curious, collaborative, and excited to work on technology that pushes the boundaries of performance.

What We Need

• Someone to take the lead in validating our next-gen PCIe interfaces — from controller to PHY, and everything in between.
• A strong collaborator who can work across hardware, firmware, and software teams to bring up new features and solve problems.
• A sharp debugger who’s comfortable triaging issues across hardware, firmware, and software layers.
• A detail-oriented thinker who thrives in fast-paced environments and enjoys seeing ideas come to life in real systems.

What You Will Learn

• How to work at the cutting edge of compute — validating next-gen hardware and making it production-ready.
  How different pieces of a system come together — from multi-die chiplets to firmware integration and beyond.
  How to use advanced tools and techniques to debug and tune complex system interactions.
  How to shape emerging technology in a collaborative, fast-moving engineering environment.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Tenstorrent is seeking a Senior Engineer, System-Level Design Verification  to ensure our AI silicon delivers reliable, scalable performance in real workloads. You will validate full-system behavior, from connectivity to throughput, across large distributed compute platforms. 

This role is hybrid, based out of Toronto, Austin, TX or 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

• Experienced verification engineer focused on full-system behavior, not only block-level micro-architecture.
• Strong at analyzing AI workload performance and hardware interaction end-to-end.
• Comfortable debugging complex issues with both hardware and software teams.
• Obsessed with reliability, observability, and operational excellence across compute platforms.

What We Need

• Validate system connectivity, coherency, and functionality across large, distributed AI compute systems.
• Measure and tune performance for end-to-end AI workloads to hit silicon targets.
• Define and evolve observability, diagnostics, and system-level test frameworks.
• Align verification plans with silicon goals in partnership with hardware and software teams.

What You Will Learn

• How to validate massive distributed systems purpose-built for advanced AI workloads.
• Techniques for correlating workload behavior, performance counters, and hardware bottlenecks.
• How software stacks and hardware co-design come together in state of art AI platforms.
• How to scale system validation for rapidly evolving architectures and product generations.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

The Tensix team is building the high-performance compute fabric that powers Tenstorrent’s AI and ML workloads. As an AI Performance Architect, you will model, analyze, and optimize how real AI workloads run on the Tensix architecture, shaping future hardware features and ensuring every design decision delivers measurable performance gains. This role connects architecture, software, and RTL to push the limits of efficiency and scalability across next-generation AI systems.

This role is hybrid, based out of Toronto, ON; Austin, TX; or remote.

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

• Deeply analytical engineer with strong intuition for AI workload behavior and system-level performance bottlenecks.
• Experienced in C++ and Python for simulation, modeling, and performance analysis across heterogeneous compute systems.
• Adept at bridging software and hardware teams—translating deep learning workloads into architectural insight and measurable design tradeoffs.
• Curious, data-driven, and comfortable pushing the limits of efficiency, scalability, and accuracy in high-performance AI systems.
  
  

What We Need

• Benchmark and analyze complex AI workloads across single and multi-node hardware configurations to guide next-gen architecture.
• Develop and maintain performance models, simulators, and micro-benchmark suites to drive feature evaluation and design optimization.
• Conduct detailed PPA (Performance, Power, Area) studies to assess design tradeoffs and inform hardware-software co-design decisions.
• Collaborate closely with RTL, Compiler, and Runtime teams to instrument and correlate performance models with silicon results.
  
  

What You’ll Learn

• Advanced modeling techniques for large-scale AI systems, including multi-chip and distributed performance analysis.
• How architectural choices propagate through the software stack—from compiler and runtime layers down to custom AI accelerators.
• Emerging deep learning trends and their impact on compute architecture design and performance tuning.
• How to define and validate performance features that directly translate to measurable gains across real-world AI workloads.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Tenstorrent is seeking a Signal Integrity Engineer to join our growing team. The ideal candidate will have a wealth of exposure designing high speed interconnects, breakout design, material trade-offs and verification. A background in electrical engineering, electronics or relevant fields is required. Must love all things high speed!

This role is hybrid, based out of Santa Clara, CA or Austin, TX or Toronto, ON.

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 have a Bachelor’s degree in Electrical Engineering (or equivalent) and 5+ years working in high-speed digital design with a focus in high-speed PCB or package design at 10Gbps and above (e.g. 100GbE, GDDR6, PCIe Gen5+).
• You’re comfortable working with high-speed performance metrics such as ICR, ERL, COM, NEXT, and FEXT as well as knowledge of high-speed connector technologies, including NPO, CPO, and emerging standards.
• You are proficient with PCB ECAD tools (ideally Cadence Allegro).
• You communicate clearly (written and verbal), think critically, and love solving complex signal integrity problems.
• You’re enthusiastic about all things high speed and enjoy collaborating across teams

What We Need

• Design, extract, and simulate complex breakout structures, including end-to-end simulations and validation against physical hardware. Perform simulation and extraction of board models for both SI and PI.
• Contribute to design and sign-off with internal and external ASIC packaging teams, ODMs, and internal layout teams. Create design specifications, work with external vendors, and drive adoption of new interconnect and packaging technologies.
• Actively participate in design reviews, providing insight from your SI/PI expertise and a broader system perspective.
• Support post-silicon bring-up and help troubleshoot production and field failures related to signal and power integrity. Document design processes and provide training/knowledge sharing to other team members.

What You Will Learn

• How to work at the cutting edge of high-speed interconnects, influencing the next generation of ASIC packaging and PCB architectures.
• Deep exposure to advanced ASIC packaging flows and collaboration models with internal and external packaging teams.
• Hands-on experience with emerging high-speed connector technologies and materials, including evaluating material trade-offs for performance and manufacturability.
• Best practices for end-to-end SI/PI validation, from simulation through to lab correlation, post-silicon bring-up, and field failure analysis.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

At Tenstorrent, we build computers for AI, and the developers shaping its future.

Our high-performance RISC-V CPUs, modular chiplets, and scalable compute systems give developers full control at every layer of the stack, at any scale from a single-node experimentation to data center-scale deployment.

We believe in an open future. Our architecture and software are designed to be edited, forked, and owned. Our team of engineers, dreamers, and first-principle thinkers is redefining how hardware and software converge to accelerate innovation.

As part of a new organization focused on experience, we need engineers for our Developer Relations team that deeply understand developers’ trials , tribulations, and wins. You'll build, present, and contextualize the tools, demos, and interfaces developers need to navigate and fully utilize Tenstorrent hardware and software. You'll meet developers where they are, understand their needs, and partner with them to build an open future. 

This role is remote, but you're welcome to work from one of our offices if you're nearby. We encourage candidates of all experience levels to apply. Your interview will determine the best fit, and offers will reflect that assessment.

Who You Are

• Passionate tool builder. You're comfortable creating things developers love to use  like command-line utilities, SDKs, dashboards, service integrations, content management systems, and microsites. 
• Curious and explore how AI can augment and enhance your development capabilities. 
• Want to share that experience to empower today's and tomorrow's developers. 
• Believe that being open is a key advantage and wayfinder in how to act and what to do next.

What We Need

• A Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
• A proven track record building great experiences for a developer audience.
• Strong skills across multiple parts of a developer’s stack.
• Fluency with open source development practices and tools, for example, Git, GitHub, CI, VSCode.
• Strong product instincts.
• Interest and experience working at varying levels of the AI engineering stack.

What You Will Learn

• Build web-based tools, demos, and playgrounds, letting developers explore our offerings.
• Translate complex platform capabilities into intuitive user and developer experiences. We improve the developer experience by reducing friction and improving education throughout.
• Partner closely with Marketing, Creative, Engineering, and Product to connect narrative with function.
• Advocate for seamless UX, from box to screen.
• The state-of-the-art in AI inside a growing, international community of open computing enthusiasts.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Tenstorrent is building large-scale AI systems across internal clusters and customer deployments. This role sits at the intersection of site reliability, infrastructure operations, and customer engineering, ensuring our systems are reliable, observable, and production-ready.

This role is hybrid, based out of Toronto, ON; 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

• Experienced in site reliability, infrastructure, or systems engineering in distributed environments.
• Strong Linux systems knowledge with the ability to troubleshoot complex multi-layer issues.
• Proficient with observability tools such as Prometheus, Grafana, and alerting systems.
• Comfortable with scripting and automation using Python, Go, or similar languages.
• Solid understanding of networking fundamentals and how systems behave at scale.

What We Need

• Ensure reliability and operational health of Tenstorrent systems across internal and customer environments.
• Troubleshoot complex issues across compute, networking, and software layers.
• Partner with engineering teams and customers to resolve production incidents.
• Design and improve monitoring, observability, and alerting systems.
• Build automation to reduce operational toil and improve system reliability.

What You Will Learn

• How large-scale AI infrastructure is operated across internal clusters and customer deployments.
• How distributed systems behave under real-world production conditions.
• How observability and automation drive reliability at scale.
• How hardware, networking, and software systems interact in AI environments.
• How customer-facing AI infrastructure is deployed, supported, and optimized.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Join the team revolutionizing AI computing at Tenstorrent. You'll work on TT-Forge, our MLIR-based compiler that enables developers to run AI on all configurations of Tenstorrent hardware using an open-source, performant, and general-purpose compiler. You will be at the forefront of the AI hardware revolution, building compiler technologies that redefine what’s possible.

 This role is hybrid and based out of Toronto, ON.

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 passionate software engineer eager to work on compiler technologies and the challenges of AI hardware, whether from compilers, systems, or broader software backgrounds.
• Fluent in C++ and Python, with experience building complex systems that bridge high-level frameworks to low-level execution.
• Excited by compiler optimization and machine learning, with experience in PyTorch, JAX, TensorFlow, or deep systems programming.
• A collaborative problem-solver who thrives in open-source and enjoys working closely with hardware and software engineers.

What We Need

• A drive to solve novel challenges in AI compilation, from optimizing computational graphs to creating custom dialects and transformation passes.
• Experience or strong interest in MLIR and how modular compiler frameworks connect AI models to advanced hardware.
• Motivation to build technology that impacts the future of AI, knowing your work will enable the next wave of breakthroughs.

What You Will Learn

• How to build open-source compiler frameworks supporting diverse AI models and workloads, including training and multi-chip scaling.
• Deep expertise in compiler technologies including custom MLIR dialects (TTIR, TTNN, TTKernel) and transformation passes.
• New methods for human-in-the-loop compiler optimization using TT-Explorer, making advanced tuning tools usable by all developers.
• How compiler technology powers Tenstorrent’s mission to deliver affordable, open-source AI computing in a highly competitive space.

As a Software Engineer on the Metal Runtime team at Tenstorrent, you’ll work on the low-level software that powers our AI accelerators. You’ll build and optimize high-performance runtime systems that execute directly on the hardware, focusing on scheduling, memory movement, and efficient execution across massively parallel processors. We believe runtime systems are a core part of performance: they determine how hardware resources are utilized, how data flows through the system, and how efficiently workloads are executed at scale.

If you enjoy pushing performance, working close to the metal, and solving complex systems challenges at the hardware/software boundary, this is your kind of role.

This role is hybrid, based out of Santa Clara, CA; Austin, TX; Toronto, ON.

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

• Strong coder in C or C++, and love working close to hardware.
• Comfortable thinking in terms of threads, processors, and memory movement, and experienced writing fast, parallel code across multiple processors.
• Enjoy optimizing execution, scheduling, and memory systems for performance at scale.
• Comfortable debugging at the hardware/software boundary and reasoning about system behavior end-to-end.
• Curious about how runtimes and bare-metal software come together to power AI.
• Collaborative by nature and enjoy solving tough problems with smart people.

What We Need

• Build and optimize the Metal runtime that executes directly on our AI accelerators.
• Develop bare-metal systems that manage compute execution, scheduling, and resource utilization.
• Optimize memory movement and data flow across massively parallel hardware.
• Work closely with hardware teams to maximize performance and efficiency of our architecture.
• Debug, analyze, and tune runtime behavior across complex, distributed systems.

What You Will Learn

• How to design high-performance runtime systems for cutting-edge AI hardware.
• How execution, scheduling, and memory systems interact at scale.
• How to make custom ASICs and co-processors work efficiently across the chip.
• Best practices for debugging complex, performance-critical software.
• How software and hardware co-evolve in a fast-paced AI startup.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

This role sits at the intersection of embedded systems, silicon validation, and advanced networking. You'll work with best-in-class IP from leading vendors and in-house designs, bringing up and validating these IPs in silicon, and building robust validation infrastructure that ensures performance, interoperability, and reliability at scale.

This role is hybrid, based out of Toronto, Canada, Vancouver Canada, Santa Clara, California or Austin, Texas.

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

• Passionate about low-level software that brings hardware to life—seeing it run on real systems never gets old.
• Drawn to complex, cross-disciplinary problems at the intersection of hardware and software.
• Excited by high-speed networking challenges like SerDes tuning, link training, and Ethernet MAC/PHY.
• Have pride in hands-on debugging and working across teams to make systems fast, reliable, and ready for the real world.

What We Need

• A passion for breaking and fixing complex hardware-software systems.
• Comfort with designing tests that push things to their limits: functional, performance, integration—you name it.
• Experience in lab work—system bring-up, running experiments, and working with emulation tools.
• A love for writing firmware and scripts to automate testing, dig into issues, and keep things running smoothly.

What You Will Learn

• What it means to shape AI acceleration hardware from the ground up—starting at first principles.
• How to validate complex Ethernet IP from simulation all the way to production silicon.
• The mastery of collaborating with world-class silicon, systems, and software teams to tackle frontier engineering challenges.
• How to define the networking architecture that will power the next era of AI platforms.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

• Experienced compiler engineer with deep knowledge of GCC and LLVM internals, comfortable optimizing for custom hardware targets.
• Strong C/C++ developer with a solid grasp of algorithms, data structures, and performance analysis.
• Collaborative and analytical, able to work across hardware and software domains to deliver efficient, high-performance toolchains.
• Passionate about enabling breakthrough compute architectures through compiler innovation and software-hardware co-design.

• Design, develop, and optimize GCC and/or LLVM compilers for Tenstorrent’s custom RISC-V hardware and AI vector engines.
• Contribute to the co-design of Tenstorrent’s hardware and software stack to maximize performance and programmability.
• Benchmark, analyze, and tune performance of core applications across RISC-V and AI software environments.
• Collaborate with ML engineers to identify and implement compiler support for emerging AI workloads and frameworks.

• How compiler design directly impacts the performance and efficiency of next-generation RISC-V and AI architectures.
• Advanced techniques in hardware-software co-optimization and compiler-driven performance tuning.
• Integration of custom compilers with leading ML frameworks and runtime environments.
• The end-to-end toolchain flow that enables Tenstorrent’s scalable, high-performance AI compute systems.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Tenstorrent is building the world’s fastest, most efficient AI compute clusters. TT-Fabric is the high-performance nervous system of this platform: the low-level networking layer that lets thousands of RISC-V and AI processors snap together into a single, massively parallel distributed supercomputer. If you love squeezing nanoseconds out of hot paths, designing protocols that move data at absurd scale, and turning messy hardware constraints into elegant distributed systems, this is an opportunity to shape the fabric that future AI models will run on

This role is hybrid based out of Santa Clara, CA; Austin, TX; or Toronto, ON.

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 We Are

• Strong systems engineer with deep C or C++ experience and comfort working in low-level or bare-metal environments.
• Passionate about hardware-software interaction, performance tuning, and eliminating inefficiencies at the protocol level.
• Curious about networking, synchronization, and communication across large clusters.
• Comfortable reasoning from first principles and challenging industry conventions.
• Motivated by building infrastructure that directly impacts large-scale AI training and inference performance.

What We Need

• Architect, implement, and maintain TT-Fabric, our low-level networking library powering distributed inference and training.
• Design scalable communication systems capable of coordinating thousands of AI processors efficiently and reliably.
• Optimize protocols, synchronization strategies, and data movement to extract maximum hardware performance.
• Integrate TT-Fabric APIs into the broader programming model in collaboration with AI and hardware teams.
• Help define the long-term architecture of Tenstorrent’s distributed systems stack.

What You Will Learn

• How large-scale AI clusters are architected from the networking layer up.
• The performance characteristics of custom AI hardware and RISC-V processors at scale.
• Advanced synchronization, collective communication, and interconnect optimization techniques.
• How distributed systems design decisions directly influence model throughput and training efficiency.
• How hardware and networking software co-evolve in next-generation AI infrastructure.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Join the team revolutionizing AI computing at Tenstorrent. You'll work on TT-Forge, our MLIR-based compiler that enables developers to run AI on all configurations of Tenstorrent hardware using an open-source, performant, and general-purpose compiler. You will be at the forefront of the AI hardware revolution, building compiler technologies that redefine what’s possible.

 This role is hybrid, and can be based out of Santa Clara, CA; Austin, TX; or Toronto; ON.

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 passionate software engineer eager to work on compiler technologies and the challenges of AI hardware, whether from compilers, systems, or broader software backgrounds.
• Fluent in C++ and Python, with experience building complex systems that bridge high-level frameworks to low-level execution.
• Excited by compiler optimization and machine learning, with experience in PyTorch, JAX, TensorFlow, or deep systems programming.
• A collaborative problem-solver who thrives in open-source and enjoys working closely with hardware and software engineers.

What We Need

• A drive to solve novel challenges in AI compilation, from optimizing computational graphs to creating custom dialects and transformation passes.
• Experience or strong interest in MLIR and how modular compiler frameworks connect AI models to advanced hardware.
• Motivation to build technology that impacts the future of AI, knowing your work will enable the next wave of breakthroughs.

What You Will Learn

• How to build open-source compiler frameworks supporting diverse AI models and workloads, including training and multi-chip scaling.
• Deep expertise in compiler technologies including custom MLIR dialects (TTIR, TTNN, TTKernel) and transformation passes.
• New methods for human-in-the-loop compiler optimization using TT-Explorer, making advanced tuning tools usable by all developers.
• How compiler technology powers Tenstorrent’s mission to deliver affordable, open-source AI computing in a highly competitive space.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

As our TT-Distributed Software Engineer, you will develop and optimize distributed software systems that power the most efficient and highest-performing AI and HPC clusters. In this role, you'll work on distributed programming across multiple nodes, utilizing systems programming, inter-node communication, and Tenstorrent’s scalable architectures to advance the state-of-the-art distributed inference and training infrastructure.

This role is hybrid, based out of Santa Clara, CA; Austin, TX; or Toronto, ON.

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

• Strong C or C++ engineer with solid foundations in systems programming, operating systems, and distributed systems principles.
• Enthusiastic about distributed computing, including IPC, socket programming, and cluster resource coordination.
• Comfortable reasoning about scalability, fault tolerance, and performance across multi-node environments.
• Curious and first-principles thinker who challenges conventional approaches to distributed system design.
• Motivated to grow into a deep technical expert in large-scale distributed AI infrastructure.

What We Need

• Architect, implement, and optimize distributed software systems that coordinate computation and communication across clusters of AI accelerators and CPUs.
• Design and build distributed APIs enabling data-parallel and tensor-parallel AI workloads.
• Leverage MPI-based technologies and related frameworks to scale programming models across multiple hosts and compute nodes.
• Develop robust systems using IPC, inter-node sockets, and distributed communication primitives to ensure reliability and high performance.
• Build and maintain testing, debugging, profiling, and monitoring tools for large-scale distributed workloads and collaborate with model and systems teams on cluster bring-up.

What You Will Learn

• How large-scale distributed inference and training systems are architected across thousands of accelerators.
• Advanced techniques in collective communication, synchronization, and parallel workload distribution.
• The performance characteristics of Tenstorrent hardware in multi-node cluster environments.
• How distributed programming models integrate with compilers, runtimes, and AI frameworks.
• The real-world challenges of deploying, debugging, and scaling next-generation AI clusters.

Tenstorrent is seeking an experienced Silicon Validation Engineer to validate and qualify our cutting-edge die-to-die (D2D) subsystem, AI, and Processor IP testchips for the rapidly growing chiplet ecosystem. You'll develop hardware infrastructure for validation platforms, perform comprehensive electrical characterization, and support customer silicon bring-up. If you’re passionate about hands-on silicon testing and want to help usher in the chiplet era of semiconductor products, join us.

This role is on-site, based out of Santa Clara, CA; or 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 engineer with 5+ years of silicon test and characterization experience in lab environments.
• Expert with oscilloscopes, BERTs, and test equipment who can independently debug complex validation challenges.
• Self-driven problem solver with strong EE fundamentals in both digital and analog circuit design.
• Excellent communicator who collaborates effectively with design teams and tracks progress meticulously.

What We Need

• BS/MS in Electrical Engineering with 5+ years of hands-on silicon validation using Keysight/Tektronix equipment.
• Proven experience with high-speed measurements (Tx jitter, Rx JTOL) and test automation scripting (Python, Perl, LabVIEW).
• Strong understanding of datacomm circuits (amplifiers, PLLs, equalizers) and signal integrity concepts.
• Track record of independently running validation tests and driving issue resolution with design teams.

What You Will Learn

• State-of-the-art die-to-die chiplet validation methodologies for next-generation semiconductor architectures.
• How to build and evolve hardware infrastructure for advanced D2D validation and demo platforms.
• Customer-facing silicon bring-up techniques and product qualification best practices.
• The opportunity to shape validation standards in the emerging chiplet ecosystem at a fast-moving startup.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

As a Software Engineer on the Metal Runtime team at Tenstorrent, you’ll work on the low-level software that powers our AI accelerators. You’ll design fast, efficient runtime systems that run close to the hardware, and define the host and device APIs that expose these capabilities to the rest of the software stack. We believe APIs are a core part of systems design: they encode hardware semantics, performance tradeoffs, and concurrency models, and they live longer than any single implementation.

If you enjoy pushing performance, working close to the metal, and designing abstractions that make complex systems usable without sacrificing control, this is your kind of role.

This role is hybrid, based out of Santa Clara, CA; Austin, TX; Toronto, ON.

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

• Strong coder in C or C++, and enjoy working close to hardware.
• Comfortable thinking in terms of threads, processors, and memory movement.
• Care deeply about API design, abstraction boundaries, and developer experience in low-level systems.
• Experienced (or interested in) designing libraries or interfaces used by other engineers.
• Think about long-term maintainability, usability, and clarity when designing systems.
• Curious about how runtimes and bare-metal software come together to power AI.
• Collaborative by nature and enjoy solving tough problems with smart people.

What We Need

• Design and evolve host and device APIs that expose Metal runtime capabilities clearly and efficiently.
• Translate low-level hardware behavior into intuitive, high-performance abstractions.
• Collaborate closely with runtime, kernel, and higher-level software teams to align API design with real-world usage.
• Ensure APIs balance performance, control, safety, and ease of use.
• Contribute to runtime implementation where needed to support API design and integration.
• Debug, analyze, and improve usability and performance across the software stack.

Nice to have:

• Experience designing or evolving non-trivial C++ APIs used by other engineers.
• Familiarity with APIs for accelerator systems (e.g., CUDA, SYCL, Vulkan, or similar).

What You Will Learn

• How to design APIs and abstractions for cutting-edge AI hardware.
• How to balance performance, control, and usability in low-level system design.
• How to translate hardware capabilities into clean, developer-friendly interfaces.
• Best practices for building maintainable, high-performance systems software.
• How software and hardware co-evolve in a fast-paced AI startup.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

About the role:

Samsara is hiring a Senior Software Engineer II to join our Operational Excellence (OPX) team within the Developer Experience organization.

DevEx is responsible for the engineering environment that a globally distributed engineering org relies on every day, from build and deploy systems to development tooling and AI-assisted workflows that help teams move quickly and confidently. 

Within DevEx, the Operational Excellence (OPX) team keeps production healthy at scale. 

We provide engineering teams the platform capabilities, observability tooling, automated safeguards, incident management tooling, and safe feature release systems they need to deliver highly available systems, ship features with confidence, and investigate and mitigate incidents faster.

OPX is focused on raising the bar for system stability, resilience, and reliability across Samsara -- building automated safeguards that protect production, ensuring engineers get the right signals at the right time, and giving teams the visibility they need to stay in control of their services. We're also investing in AI-driven operational tooling and partnering directly with product engineering teams to strengthen their operational posture.

Our final interview stage is a full-day, in-person onsite at our SF office. This is an exciting opportunity to collaborate face-to-face with our senior technical leaders and dive deep into the hard problems we are solving.

This is a remote position open to candidates residing in the ET time Zone in the US and Canada. Relocation assistance will not be provided for this role.

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact – helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win – together.

In this role, you will: 

• Design and build automated reliability and self-healing systems that protect production at scale, including automated rollbacks, deploy safeguards, and fault mitigation, and deliver them as platform tooling that engineering teams across the company adopt for their own services.
• Own and improve incident management tooling and on-call health. Reduce alert noise, surface actionable signals, and empower engineering teams to operate their services confidently with minimal operational burden.
• Develop and evolve our observability infrastructure, including monitoring, alerting, SLOs, and performance regression detection, to give teams real-time, actionable visibility into system health and latency.
• Contribute to AI-driven operational tooling that goes beyond triage, building toward autonomous remediation where AI detects issues, takes corrective action, and self-recovers with minimal human involvement.
• Drive incident prevention by identifying systemic patterns and ruthlessly eliminating operational toil. You have deep empathy for on-call engineers and a bias toward making their lives better.
• Partner directly with product engineering teams to diagnose reliability gaps, reduce their operational burden, and help them adopt best practices for running their services.
• Define and champion operational excellence best practices across engineering through guardrails, scorecards, and standards that help teams run their services reliably by default.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role:

• 8+ years of experience designing and building products in a software engineering team.
• Bachelor's Degree in Computer Science/Engineering or equivalent practical experience.
• 3+ years of experience in infrastructure and/or platform engineering-focused teams.
• Expertise in Observability and reliability, operational metrics, and data analysis.
• Proven track record in architecting monitoring frameworks, SLO platforms, and automated response workflows, Datadog (or equivalent observability tooling like New Relic, Grafana).
• Proven experience working on large-scale enterprise software applications.
• Experience in Developer Experience (DevEx) & Internal Portals: Designing and implementing solutions/tools that centralize and simplify engineering operations.
• Familiarity with cloud platforms (AWS, GCP, or the like).
• Experience in implementing AI-driven automation across the software development lifecycle (SDLC) to reduce developer friction, automate repetitive technical tasks, and accelerate time-to-delivery. Routinely applies AI tools across your workflow.
• Familiarity with Experienced at writing high-quality code (Go, Python, or equivalent) focused on infrastructure, deployment, and operations challenges.
• Experience mentoring and supporting engineers and role modeling engineering practices within a technical lead capacity.
• Proactive growth mindset, always looking at ways to improve the status quo.

An ideal candidate also has:

• Strong communication skills and a desire to collaborate across teams.
• Experience with incident management tooling (Incident.io, PagerDuty, or equivalent).
• Experienced with Infrastructure as Code (Iac) - Terraform.

About the role:

Samsara is looking for an experienced Staff Software Engineer to join our Cloud Governance Platform team. This team builds the foundational platforms that enforce governance, identity security, compliance, and software supply-chain protections across all of Samsara’s cloud infrastructure and developer environments.

Rather than relying on manual reviews or policy enforcement, this team delivers secure, compliant-by-default systems through cloud IAM guardrails, automated controls, and scalable platform abstractions across AWS and GCP.

As a Staff Engineer, you will operate as a technical leader and force multiplier: driving architecture, influencing engineering direction across teams, and building highly reliable, secure platforms that scale with Samsara’s global footprint supporting millions of connected devices.

Our final interview stage is a full-day, in-person onsite at our SF office. This is an exciting opportunity to collaborate face-to-face with our senior technical leaders and dive deep into the hard problems we are solving.

This is a remote position open to candidates based in the US.

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.

In this role, you will: 

• Lead the technical direction and architecture of Samsara’s Cloud Governance Platform, spanning cloud IAM, security controls, compliance enforcement, and software supply-chain security.
• Define and own the roadmap and long-term vision for governance and security platforms across AWS and GCP.
• Drive compliance through engineering, translating regulatory frameworks into automated, continuously enforced controls.
• Own software supply-chain security initiatives, including SAST, DAST, and secure CI/CD patterns.
• Partner with Infrastructure, Security, Compliance, and Product Engineering to solve complex, cross-functional risk and governance challenges.
• Mentor engineers across teams and contribute to a strong engineering culture through technical guidance and example.
• Communicate architectural decisions, tradeoffs, and risks clearly to technical and non-technical stakeholders.
• Champion and embed Samsara’s cultural principles as the organization scales.

Minimum requirements for this role.

• Bachelor’s degree or higher in Computer Science, Engineering, or related field.
• 8+ years of software engineering experience, with significant experience building and operating cloud platforms at scale.
• Deep hands-on expertise in cloud infrastructure (AWS, GCP, or similar).
• Strong understanding of cloud security, IAM systems, threat models, and mitigations.
• Proven track record of leading large technical initiatives with cross-team impact.
• Experience designing and operating highly reliable, scalable distributed systems.
• Strong communication skills and ability to influence without direct authority.

An ideal candidate also has:

• Experience building internal developer platforms or governance systems used across many teams.
• Background in developer tools, infrastructure, or productivity engineering.
• Experience with software supply-chain security practices and tooling.
• Proficiency in Golang, Python, Terraform, or similar platform-focused technologies.
• Strong judgment in balancing developer experience, platform adoption, and enforcement of security controls.

Overview

Qsight is a high-growth division of Guidepoint focused on building data intelligence solutions for the healthcare sector. Qsight leverages proprietary datasets and rigorous analysis of alternative data sources to generate actionable insights for top-tier institutional investors, medical device manufacturers, and pharmaceutical companies. The Qsight team develops market intelligence products designed to be highly relevant, accurate, and scalable – delivering superior insights to a diverse, global client base.

We are seeking an experienced, motivated Operations Engineer to join our growing team. This is a multiple-hats role focused on SaaS/platform operations and tier-2 support for client-facing systems. You will own the administration and reliability of key tools, troubleshoot and resolve escalations with clear documentation, and build lightweight automation and reporting to reduce manual work as we scale.

You will partner closely with Customer Success, Product, and Engineering to proactively monitor, support, and improve critical systems. Through practical, creative problem-solving, you will strengthen reliability, accelerate time to resolution, and increase operational visibility. Day to day, you will triage and resolve client technical questions, manage vendor license administration and renewals, and produce reporting that informs operational decisions.

This role is hybrid in Toronto City(with the option to be fully remote); candidates must be able to work US/CAN Eastern hours from 9 am to 6 pm.

What You’ll Do:

• Systems Administration
  • Manage operations for critical SaaS platforms (Tableau, Datadog, Freshdesk)
  • Own configuration, workflows, and automations
  • Manage vendor licensing (renewals, true-ups) and optimize seat utilization
  • Administer users, groups, permissions, routing rules, and integrations
  • Partner with Engineering to design, implement, and maintain integrations
• Observability & Incident Response
  • Actively monitor the health of critical systems
  • Coordinate with vendor support and internal IT to drive issues to resolution
  • Serve as the point of contact for vendors and internal stakeholders
• Tier 2 Product Support
  • Triage escalations from Customer Success
  • Reproduce and isolate issues
  • Collect logs, user context, and reproduction steps (e.g., Datadog, CloudWatch, Tableau) to accelerate Engineering/vendor resolution
  • Create and maintain runbooks, FAQs, and internal documentation
• Customer Success Support
  • Build custom client activity dashboards and reports
  • Help define alert thresholds and escalation paths for incidents
  • Support client entitlement renewals and additions
• Occasional Desktop Support (5%)
  • Assist business users with light-touch desktop and software support when needed (installing software, troubleshooting basic issues)
  • Coordinate with central IT for larger incidents or hardware issues
• Ways of Working
• Collaborate closely with Customer Success, Product, Engineering, and central IT teams
• Proactively identify recurring issues and drive them to permanent fixes (not just workarounds)
• Some extended availability until 8 pm ET as part of an on-call rotation/coverage plan

Required Technical Qualifications: 

• Bachelor’s degree or equivalent experience
• 1–3 years of hands-on operational experience, supporting and administering critical business SaaS tools
• Experience with creating and executing runbooks
• Experience with dashboards, metrics, reports, alerts
• Fluency with Excel formulas, pivot tables, data connections
• Strong documentation habits (runbooks, checklists, user guides)
• Proficiency with Python and SQL
• Excellent written and verbal communication skills
• Demonstrated ability to work independently and in a team atmosphere with minimal supervision
• Strong focus on quality, attention to detail, and addressing client needs

Preferred Qualifications:

• Experience with incident management
• Technical project management skills

What We Offer:

The annual base salary range for this position is $95,000 to $135,000. Additionally, this position is eligible for an annual discretionary bonus based on performance.

You will also be eligible for the following benefits:

• 15 PTO days, 10 legal holidays, and sick days
• Comprehensive medical, dental, and vision plans
• Will match up to 10% of employee contribution for 401(k), life insurance, paid time-off and parental leave plans
• Commuter benefits and a corporate gym rate
• Development opportunities through the LinkedIn Learning platform
• Free snacks and beverages in the office
• Friday happy hour and “Summer Fridays”
• Year-round corporate athletic league
• Casual work environment, team building, and other social events

About Guidepoint:

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action.

Backed by a network of nearly 1.75 million experts and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful.

At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience.

#LI-AP1

#LI-HYBRID

The role

Nebius seeks a Key Customers Solutions Architect to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You’re welcome to work remotely from the United States or Canada.

Your responsibilities will include: 

• Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML.
• Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
• Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
• Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
• Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

We expect you to have:

• Experience: 5 - 10 + years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
• Customer-centric approach with a proven ability to build trust and foster long-term relationships.
• Strong ability to explain technical concepts to technical and non-technical audiences.

It will be an added bonus if you have:

• Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
• Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
• Proven experience mentoring technical teams and driving team growth.
• Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

Key Employee Benefits:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote Work Reimbursement: Up to $85/month for mobile and internet.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer competitive salaries, ranging from $255k - $315k OTE (On-Target Earnings) and equity based on your experience, skills, and location.

Join Nebius Today!

Role Overview

As a Principal Product Applications Engineer at Astera Labs, you will be at the forefront of enabling the world's leading cloud service providers and server/network OEMs to successfully deploy connectivity solutions. This high-impact role sits at the intersection of cutting-edge silicon, firmware, and customer success—where you'll tackle complex technical challenges that push the boundaries of AI infrastructure connectivity.

You will serve as a trusted technical advisor to strategic customers, guiding them through design-in, bring-up, and optimization of Astera Labs products. With a strong firmware orientation, you'll dive deep into embedded systems, debug intricate firmware-hardware interactions, and drive issues to resolution across the full stack. Your insights from the field will directly influence product roadmaps and engineering priorities, making you a critical bridge between customers and our R&D teams.

This is an opportunity to work on industry-defining connectivity products that power next-generation data centers and AI platforms—all within a fast-paced, hypergrowth environment where your contributions have immediate and visible impact.

Key Responsibilities

• Customer Technical Engagement
  • Provide expert technical guidance to tier-1 customers throughout the design-in lifecycle, from early evaluation through production deployment
  • Build trusted relationships with customer engineering teams, serving as the go-to resource for product integration
  • Deliver technical presentations, training sessions, and design reviews to accelerate customer success
• Firmware Debug & Issue Resolution
  • Investigate and reproduce customer-reported issues involving firmware, silicon, hardware design, and system-level interactions
  • Drive root cause analysis and coordinate cross-functional teams to deliver timely resolutions
  • Develop firmware-based tools, scripts, and utilities to streamline debug and validation workflows
• Technical Collateral & Knowledge Sharing
  • Create high-quality application notes, integration guides, and technical documentation for internal and external audiences
  • Provide actionable feedback to product, firmware, and silicon teams to continuously improve products and customer experience
  • Contribute to the development of reference designs and best practices for product deployment
• Lab Validation & Bring-Up
  • Execute hands-on silicon and system bring-up activities, including firmware validation and performance characterization
  • Utilize lab equipment such as protocol analyzers, high-speed oscilloscopes, and traffic generators to diagnose complex issues
  • Support interoperability testing across diverse customer platforms and configurations

Basic Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, or related field
• 8+ years of experience in product applications, field applications, or systems engineering roles supporting complex semiconductor products
• Strong firmware development and debugging skills, including proficiency in embedded C and Python
• Experience with high-speed interfaces such as PCIe Gen5/6/7 or Ethernet
• Demonstrated ability to triage and resolve multi-layer issues spanning silicon, firmware, and system environments
• Excellent written and verbal communication skills with a track record of producing clear technical documentation

Preferred Qualifications

• Master's degree in Electrical Engineering, Computer Engineering, or related field
• Experience with Ethernet products, retimers, or PCIe connectivity solutions
• Hands-on experience with protocol analyzers, high-speed oscilloscopes, and BERTs
• Background working directly with cloud service providers, server OEMs, or networking equipment manufacturers
• Understanding of data center architectures including servers, AI platforms, JBOGs/JBODs, and network switches
• Familiarity with physical layer concepts and signal integrity fundamentals

The base salary range for this role is CAD 180,000 – CAD 205,000. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for a performance bonus, equity, and benefits.

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking an Vehicle Systems Engineering Intern who will focus on growing Geotab's world class vehicle support by researching new vehicles, reverse engineering their systems and automating the process with software tools. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a Vehicle Systems Engineering Intern your key area of responsibility will be to gain access to vehicles both in person and remotely across the world, to reverse engineer vehicular systems. This includes electrical, hardware and communications systems, protocols and legislation. In the past, students have developed software tools in C# and python, built big data dashboards using Google Big Query, reverse engineered vehicles from scratch using our in house CAN analysis software, helped diagnose vehicle issues… the list goes on!  You will need to work closely with all development teams across Geotab and implement new initiatives across Big Data, Firmware, Software/ Mobile development and Hardware teams.

To be successful in this role you will be a self-starter with strong written and verbal communication skills, and have the ability to quickly understand complex, technical concepts. In addition, the successful candidate will have strong analytical and project management skills with an ability to identify needs, develop effective solutions, and manage projects through completion. The successful candidate will also be able to manage multiple timelines and contrasting priorities to ensure timely results.

The opportunity:

• 8 month work-term beginning September 2026.
• Full-time, paid internship: Monday - Friday, 37.5hrs/week.
• Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
• Learn more about the Geotab Campus Program here.
• This posting is for an existing vacancy.

How you'll make an impact:

• Reverse engineer vehicular systems including electrical, hardware and communications systems and protocols
• Document and design methods to collect data from vehicles in a way that is digestible by Geotab's hardware and software teams
• Support the global reverse engineering vision and process by contributing to the use, design and implementation of the software tooling
• Use Cloud-based data warehouses (e.g. BigQuery and Google Cloud compute) for automated analysis of vehicle data and identify vehicle support gaps from our products
• Assist in the product development cycle through proof of concepts and the execution of beta testing

What you'll bring to the role:

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

The Corporate Technology (CorpTech) Services team is a strategic support partner to all Stripes, in office and remote.  We ensure the successful operation of new hires, account off-boards and critical business systems with a global team. 

We’re looking for a Tier 1 Support Engineer to join the AMER CorpTech Services team to provide in-person, thoughtful and individualized support for all Stripes. Stripe is looking for individuals who can work in a fast paced environment and work autonomously to deliver team oriented results.

What you’ll do

You’ll be responsible for providing technical assistance and support related to computer systems, hardware, and software. Respond to queries, run diagnostic programs, isolate problems, and determine and implement solutions.  In-person support is required as well as setting up desks and managing/auditing peripherals.  

Responsibilities

• Provide technical assistance and support for incoming queries and issues related to computer systems, software, and hardware.
• Respond to queries either in person, email, Slack or ticketing system.
• Provide in-person IT HelpDesk assistance to Stripe employees, contingent workers, and vendors.
• Walk customers through problem-solving processes and follow up to ensure issues have been resolved.
• Run diagnostic programs to resolve problems as well as troubleshoot IT scripts, systems, or automation
• Support and maintain critical SaaS tools (Google Workspace, Slack, Zoom, JIRA, Confluence, etc.)
• Troubleshoot Stripe-provided hardware (macOS, Chrome OS, iOS, peripherals)
• Facilitate the provisioning of Stripe laptops for new hire on-boarding and fleet upgrades
• Assist with new hire onboarding and training curriculum
• Update, and maintain detailed external and internal IT documentation
• Onboard and support third-party vendors and/or contractors
• Contribute to shared global IT off-boarding tasks and responsibilities
• Maintain and provide technical assistance with all office technology (printers, Zoom Rooms, room schedulers, and more).
• Own IT asset management and ensure accurate and actionable records are kept of required equipment.
• Promote best practices as established by IT and escalate inquiries as necessary to the IT Systems and Infrastructure team.
• Create and update technology documentation for internal IT teams and for Scale employees.

Who you are

You have the ability to take initiative on tickets and contribute to project design and implementation. You are skilled at writing, updating and maintaining technical documentation and sending directed communications. You are comfortable working as an individual contributor on a global team that is driving towards a common goal. You will best succeed in this role by leading on things you are passionate about while supporting others in their passion. 

You love problem solving and collaborating with others to provide world class support. Being the best fit for this position means you are both humble and confident. You strive towards excellence but understand your limitations and don’t hesitate to ask for help when needed. 

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• Possess 2+ years of experience in IT HelpDesk experience 
• Possess strong working knowledge of Apple systems and software 
• Possess strong working knowledge of Google Workspace, Slack, Zoom, JIRA, Confluence, or similar cloud providers
• Possess strong working knowledge of Atlassian systems (JIRA and Confluence)
• Possess understanding of script execution and troubleshooting (ex: Ruby, Bash, Python)
• Possess working knowledge of imaging/endpoint management tools (DEP, Munki, Chef, JAMF)
• Able to independently manage and prioritize workload and projects
• Possess outstanding interpersonal and communication skills
• Is empathetic, humble, and possess a strong focus on customer service

We are only able to hire current Ontario residents

The primary function of the Condition Monitoring Engineer is supporting the company’s unique value proposition by generating high quality and actionable data and information for its industrial customers. This role works closely with product development, installation and customer support teams, as well as customers’ reliability engineers. In this role, you will:

• Collect and analyze vibration and temperature data at client sites, customizing data processing to the client’s asset and determining if maintenance is needed
• Perform vibration data collection, data analysis, software modeling and programming, and engineering evaluations
• Evaluate machinery health and condition, through detailed analysis of vibration data
• Develop software modelling and programs to maintain and expand vibration data analysis library to improve ability to process data
• Provide high-quality, actionable information to clients (e.g. setting appropriate alarm levels within the analytical tools to alert customers of pending failures).
• Accompany hardware installation team and recommend placement of machine condition sensing units.
• Lead and grow AssetWatch predictive maintenance (PdM) tool develop program
• Expand AssetWatch expertise in machine condition monitoring, beyond vibration analysis, to include ultrasonic analysis, oil/fluid analysis
• Work closely with the product development team to create high-valued hardware and software solutions and expanded product offerings

Qualifications:

• Minimum of five years of relevant experience with vibration data collection and analysis, ideally using FFT analyzers and predictive/preventative maintenance software. (Must demonstrate technical competence.)
• Valid ISO Category II, or higher, vibration certification preferred. Continued certification expected.
• Strong understanding of electro-mechanical fundamentals, including AC induction and DC motors
• Strong mechanical background with industrial equipment - centrifugal and reciprocating compressors, turbines, blowers, pumps, gearboxes, hydraulics, pneumatics, etc.
• Proficient with the operation of one or more analyzers measuring vibration spectra and time waveforms.
• Proficient with developing optimum corrective actions based on findings of acquired field vibration analysis data, observations and discussions with key plant personnel.
• Must be able to work on and around elevated fixed and rotating equipment
• Proficiency with Microsoft Office Suite and standard PC applications.
• Good communication and interpersonal skills
• Desire to work in a “startup” environment and have a “startup” mentality – work collaboratively with others across all levels of the organization; resolve obstacles that may prevent the organization from achieving its mission; wear many hats as needed
• Be customer focused - demonstrate the desire and knowledge to understand customer needs; provide personalized, professional service, accurate information and continuous communication
• Demonstrate integrity - behave ethically, act fairly, and take responsibility for accomplishing work

The primary function of the Condition Monitoring Engineer is supporting the company’s unique value proposition by generating high quality and actionable data and information for its industrial customers. This role works closely with product development, installation and customer support teams, as well as customers’ reliability engineers. In this role, you will:

• Collect and analyze vibration and temperature data at client sites, customizing data processing to the client’s asset and determining if maintenance is needed
• Perform vibration data collection, data analysis, software modeling and programming, and engineering evaluations
• Evaluate machinery health and condition, through detailed analysis of vibration data
• Develop software modeling and programs to maintain and expand vibration data analysis library to improve ability to process data
• Provide high-quality, actionable information to clients (e.g. setting appropriate alarm levels within the analytical tools to alert customers of pending failures).
• Accompany hardware installation team and recommend placement of machine condition sensing units.
• Lead and grow AssetWatch predictive maintenance (PdM) tool develop program
• Expand AssetWatch expertise in machine condition monitoring, beyond vibration analysis, to include ultrasonic analysis, oil/fluid analysis
• Work closely with the product development team to create high-valued hardware and software solutions and expanded product offerings

Qualifications:

• Minimum of five years of relevant experience with vibration data collection and analysis, ideally using FFT analyzers and predictive/preventative maintenance software. (Must demonstrate technical competence.)
• Valid ISO Category II, or higher, vibration certification preferred. Continued certification expected.
• Strong understanding of electro-mechanical fundamentals, including AC induction and DC motors
• Strong mechanical background with industrial equipment - centrifugal and reciprocating compressors, turbines, blowers, pumps, gearboxes, hydraulics, pneumatics, etc.
• Proficient with the operation of one or more analyzers measuring vibration spectra and time waveforms.
• Proficient with developing optimum corrective actions based on findings of acquired field vibration analysis data, observations and discussions with key plant personnel.
• Must be able to work on and around elevated fixed and rotating equipment
• Proficiency with Microsoft Office Suite and standard PC applications.
• Good communication and interpersonal skills
• Desire to work in a “startup” environment and have a “startup” mentality – work collaboratively with others across all levels of the organization; resolve obstacles that may prevent the organization from achieving its mission; wear many hats as needed
• Be customer focused - demonstrate the desire and knowledge to understand customer needs; provide personalized, professional service, accurate information and continuous communication
• Demonstrate integrity - behave ethically, act fairly, and take responsibility for accomplishing work

Software Engineer, Senior

Shift4 is expanding globally and we are looking for a key software developer to join our innovative Software Engineering team! This opportunity involves designing, developing and deploying Shift4’s Commerce Engine payment solution that delivers a modern and integrated payment processing experience at Retail, Restaurant, and Hotel merchants.

The focal point of the solution consists of well-designed and highly functional business apps deployed on custom payment hardware. We have an ambitious product roadmap for this platform and are looking to expand the team with the best and brightest to ensure we continue to drive the industry with our innovative solutions and change the basis of competition.

This role is onsite and can be based at either of the following Shift4 locations:  Las Vegas, NV, U.S.A. or Vancouver, BC, Canada

Relocation assistance may be available. 

Responsibilities

• Translate high-level requirements to actionable tasks and deliverables.
• Contribute to architecture and design in a multiplatform ecosystem.
•  Design and build distributed software services for transaction processing.
•  Produce high quality software that is unit tested, code reviewed, and continuously integrated.
•  Collaborate with the Quality assurance team in test planning and test coverage.
•  Collaborate with DevOps and CI/CD in operational visibility, triaging incidents, and deployment planning.
• A disciplined approach to development, code review, testing, documentation and code structure in a team environment.
• Actively participate in growing and coaching fellow team members.
• Understand future business goals from Product Owners and make sure architecture and system design can support those goals.
• Build proof-of-concepts to validate architectural and design choices and evangelize those technical choices to other teams.
• Able to understand, diagnose and then solve deep technical and performance issues across the product.
• Provide development support to resolve any issues with technical systems and applications.

Qualifications

• 5+ years of Software Engineering experience in Coding, Designing and Developing software.
• Proficient in C and exposure to Object Oriented languages like C++, Java, Python or Kotlin.
• Adept in gathering and interpreting requirements, translating requirements into system definitions and solutions and creating detailed documentation.
• Ability to write modular, maintainable code with unit tests ensuring complete code coverage and adhering to coding standards.
• Troubleshoot and resolve complex issues in embedded systems to debug and optimize system performance.
• Experience with Code repository management, code merge and quality checks, continuous integration and automated deployment and management using tools like Jenkins, Git.
• Experience working in an agile environment and familiarity with Jira, Confluence etc.
• Excellent communication skills and a quick problem solver.
• Bachelor's degree in Computer Science, Software Engineering or equivalent. Experience in lieu of a degree may be considered. 

Preferred Skills:

• Previous experience in the cards and payments industry is positive but not mandatory.
• Expertise around Point of Sale, Payment SDKs, and POS hardware experience is a big plus.

#LI-BN1

What You’ll Do 

This is a hands-on Associate-level DevOps role focused on cloud automation, internal infrastructure, and maintaining an internal cloud-based application used across the company. 

You’ll work closely with our engineering teams and senior DevOps staff to maintain, improve, and evolve our internal cloud infrastructure and automation systems, contributing to tooling that supports every other team at Forma.ai. 

While your primary focus will be cloud automation and infrastructure, you will also serve as the primary IT presence in our Toronto office, supporting day-to-day IT operations as part of the role. 

The role’s key responsibilities are listed below: 

• Work with infrastructure defined using Terraform to support internal systems and automation workflows 

• Work with containerized workloads running in Kubernetes as part of our internal infrastructure 

• Assist with the deployment, troubleshooting, and maintenance of serverless functions and scheduled automation workflows 

• Manage IAM roles and permissions related to automation and internal tooling 

• Write and modify scripts (PowerShell, Bash, Python, or similar) to automate operational tasks 

• Help improve onboarding, offboarding, and access management automation 

• Participate in CI/CD workflows and infrastructure delivery processes as part of your growth in the role 

• Document automation workflows and operational runbooks 

• Act as the primary IT contact for the Toronto office 

• Manage device provisioning, enrollment, endpoint management (MDM), and hardware lifecycle processes 

• Administer Microsoft 365 and identity systems (e.g., Azure AD / Entra ID or similar) 

• Manage SaaS provisioning and deprovisioning across internal tools 

• Maintain least-privilege access and enforce access control best practices 

• Provide in-office and remote technical support for employees 

• Maintain hardware inventory and support office IT infrastructure 

What we’re looking for: 

• 2–3 years of experience in IT operations, CloudOps, DevOps, or systems administration 

• Hands-on experience with AWS services (e.g., IAM, EC2, Lambda) or equivalent services in another cloud platform 

• Exposure to containerization concepts and Kubernetes environments 

• Experience working with Infrastructure as Code tools (e.g., Terraform) 

• Experience writing or modifying scripts (PowerShell, Bash, Python, or similar) to automate operational tasks 

• Experience administering Microsoft 365 or similar productivity platforms 

• Familiarity with identity management, SSO, and SaaS provisioning workflows 

• Strong troubleshooting and root-cause analysis skills across both cloud systems and end-user environments 

• Ability to work independently in an in-office setting while collaborating with a distributed technical team 

• Clear communication skills and a strong sense of ownership 

• Comfort leveraging modern tooling (including AI-assisted development tools) to improve productivity and automation 

Nice to have: 

• Experience working with REST APIs or integrating SaaS platforms through automation 

• Experience with monitoring and observability tools (e.g., CloudWatch, Datadog, or similar) 

• Exposure to CI/CD tooling or GitHub administration 

• Experience working in a SaaS or high-growth technology company 

• Exposure to AWS EKS or cluster autoscaling tools (e.g., Karpenter) 

Additional Job Info:

• This position is for an existing vacancy
• Salary range: $100K - $140K CAD
• This job requires 5 days onsite at our downtown Toronto office

Mener une transformation d’infrastructure à grande échelle dans des environnements des marchés des capitaux

Le rôle
Nous soutenons un client des marchés des capitaux dans le cadre d’une initiative critique de renouvellement et de modernisation du matériel. À titre d’ingénieur DevOps senior, vous jouerez un rôle clé dans la livraison d’une transformation d’infrastructure de bout en bout — de la découverte et l’évaluation comparative jusqu’au déploiement et à la validation. Vous travaillerez au sein d’équipes interfonctionnelles afin d’assurer l’exécution harmonieuse des activités de renouvellement du matériel, tout en améliorant l’efficacité opérationnelle et la performance.

Ce que vous ferez

• Diriger les activités de découverte et produire une documentation complète sur l’état actuel ainsi que des cartes de processus
• Définir des cadres d’évaluation comparative et établir des indicateurs clés de performance (KPI) pour mesurer la performance et le succès de l’infrastructure
• Soutenir les initiatives de renouvellement du matériel, y compris l’analyse des stocks et la planification
• Superviser le déploiement des environnements, la mise à disposition du matériel et l’installation du système d’exploitation
• Piloter la configuration des serveurs, le déploiement des applications et la validation afin d’assurer la préparation à la production

Ce que nous recherchons

• Expérience démontrée dans des rôles de DevOps, d’ingénierie d’infrastructure ou d’ingénierie de plateforme dans des environnements complexes
• Solide connaissance des cycles de renouvellement du matériel, de la mise à disposition des serveurs et du déploiement de systèmes d’exploitation (Linux/Windows)
• Expérience avec les déploiements d’environnements, la gestion de la configuration et les outils d’automatisation des déploiements
• Capacité à documenter les processus, à analyser les environnements à l’état actuel et à définir des KPI mesurables
• Maîtrise du français et de l’anglais. Étant donné que la vaste majorité de nos clients, tant internes qu’externes, sont situés à l’extérieur du Québec et du Canada, des exigences linguistiques précises peuvent s’appliquer. Une maîtrise professionnelle de l’anglais est requise.

Atouts supplémentaires

• Expérience dans les environnements des marchés des capitaux ou des services financiers
• Familiarité avec les programmes de mise à niveau d’infrastructure à grande échelle
• Exposition aux plateformes infonuagiques (AWS, Azure, GCP) et aux modèles d’infrastructure hybride
• Connaissance des pipelines CI/CD et des pratiques d’infrastructure en tant que code (p. ex. Terraform, Ansible)
• Expérience dans des rôles de consultation ou de prestation en contact avec la clientèle

Pourquoi se joindre à Capco

• Livrer des solutions technologiques à fort impact pour des institutions financières de niveau 1
• Travailler dans une culture de consultation collaborative, horizontale et entrepreneuriale
• Accéder à de la formation continue, à des occasions d’apprentissage et à des certifications de l’industrie
• Faire partie d’une équipe qui façonne l’avenir des services financiers numériques
• Aider à façonner l’avenir de la transformation numérique dans les services financiers et l’énergie

Nous offrons un ensemble d’avantages concurrentiel, axé sur les personnes, conçu pour soutenir tous les aspects de votre vie :

Avantages

• Couverture complète des avantages – assurance maladie, assurance vie et assurance invalidité entièrement payées par l’entreprise dès le premier jour d’emploi
• Programme d’épargne-retraite – Régime enregistré d’épargne-retraite (REER) avec options de cotisation équivalente de l’employeur
• Soins de santé virtuels – Programme payé par l’entreprise offert aux employés et à leurs personnes à charge/conjoints
• Complément de congé parental – Avantages bonifiés de congé parental offerts dès le premier jour d’emploi
• Soutien au mieux-être – Remboursement des frais de conditionnement physique pour favoriser la santé et le bien-être

Inclusion chez Capco
Nous nous engageons à rendre notre processus de recrutement accessible et simple pour tout le monde. Si vous avez besoin de mesures d’adaptation à n’importe quelle étape, faites-le-nous savoir – nous serons heureux de vous aider. Nous valorisons la perspective et la contribution uniques de chaque personne. Chez Capco, nous croyons que le fait d’être soi-même est votre plus grande force. Notre culture #SoyezVousMêmesAuTravail encourage l’individualité et la collaboration – un état d’esprit qui façonne notre façon de travailler avec nos clients et entre nous chaque jour.

Utilisation de l’intelligence artificielle dans l’acquisition de talents
Chez Capco, nous utilisons des outils d’intelligence artificielle (IA) pour soutenir et améliorer plusieurs aspects de l’acquisition de talents. Cela inclut l’utilisation de fonctions optimisées par l’IA dans LinkedIn pour aider à trouver des candidats potentiels, l’accélération des communications de recrutement courantes comme les courriels et la création d’affichages de postes convaincants et alignés sur la marque qui reflètent fidèlement les exigences du poste, ainsi que des applications de planification alimentées par l’IA pour améliorer l’efficacité de la coordination des entrevues.

L’IA est utilisée uniquement comme outil de soutien. Toutes les décisions d’embauche sont prises par les équipes d’acquisition de talents et de recrutement.

Pourquoi ce poste est ouvert
Nous embauchons actuellement pour ce poste en raison d’un poste vacant existant ou nouvellement créé au sein de notre organisation. Ce poste est ouvert dans le cadre de nos besoins d’affaires en cours, et nous examinons activement les candidatures afin de pourvoir ce poste avec un candidat qualifié qui pourra avoir un impact immédiat.

Transparence salariale

La fourchette salariale pour ce poste est indiquée ci-dessous. De plus, ce poste peut également être admissible à un paiement annuel de prime discrétionnaire/variable.

Capco s'engage à offrir une rémunération juste et équitable à son personnel. Nos politiques de rémunération et nos fourchettes salariales sont conçues pour permettre à nos employés de progresser dans la fourchette salariale à mesure qu'ils démontrent de solides performances et se développent dans leur rôle au fil du temps. Le salaire de base offert aux candidats retenus sera conforme à la fourchette salariale, et le placement variera en fonction de divers facteurs, y compris, mais sans s'y limiter, les connaissances, compétences, expérience et équité interne liées au poste.

CAD $118000 - CAD $152000

Drive large-scale infrastructure transformation across capital markets environments

The Role
We are supporting a capital markets client through a critical hardware refresh and modernization initiative. As a Senior DevOps Engineer, you will play a key role in delivering end-to-end infrastructure transformation—from discovery and benchmarking through to deployment and validation. You will work across cross-functional teams to ensure seamless execution of hardware refresh activities while enhancing operational efficiency and performance.

What You’ll Do

• Lead discovery activities and produce comprehensive current state documentation and process maps
• Define benchmarking frameworks and establish KPIs to measure infrastructure performance and success
• Support hardware refresh initiatives, including inventory analysis and planning
• Oversee environment deployment, hardware provisioning, and operating system installation
• Drive server configuration, application deployment, and validation to ensure production readiness

What We’re Looking For

• Proven experience in DevOps, infrastructure engineering, or platform engineering roles within complex environments
• Strong knowledge of hardware refresh cycles, server provisioning, and OS deployment (Linux/Windows)
• Experience with environment buildouts, configuration management, and deployment automation tools
• Ability to document processes, analyze current state environments, and define measurable KPIs
• This role requires fully bilingual proficiency in French and English - written and verbal. French is required to support clients in Quebec, and English is used for collaboration across Capco’s global organization.

Bonus Points For

• Experience within capital markets or financial services environments
• Familiarity with large-scale infrastructure upgrade programs
• Exposure to cloud platforms (AWS, Azure, GCP) and hybrid infrastructure models
• Knowledge of CI/CD pipelines and infrastructure-as-code practices (e.g., Terraform, Ansible)
• Experience working in consulting or client-facing delivery roles

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions
• Work in a collaborative, flat, and entrepreneurial consulting culture
• Access continuous learning, training, and industry certifications
• Be part of a team shaping the future of digital financial services
• Help shape the future of digital transformation across FS & Energy

We offer a competitive, people-first benefits package designed to support every aspect of your life:

Benefits

• Comprehensive Benefits Coverage – 100% company-paid health, life, and disability insurance effective from Day 1 of employment
• Retirement Savings Program – Registered Retirement Savings Plan (RRSP) with employer contribution matching options
• Virtual Health Care – Company-paid program available to employees and their dependents/partners
• Parental Leave Top-Up – Enhanced parental leave benefits available from Day 1 of employment
• Wellness Support – Fitness reimbursement benefit to promote health and well-being

Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

Use of Artificial Intelligence in Talent Acquisition
At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

Why This Role Is Open
We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact.

About the role:

The Safety team is pioneering the application of AI to make physical operations safer at global scale. We build intelligent systems that combine computer vision, VLMs, sensor data, environmental context, and behavioral patterns to detect risk and prevent accidents before they happen for some of the largest, most complex physical operations companies in the world. We’re looking for an entrepreneurial, technically-minded Product Manager to take one of our largest and fastest-growing businesses - Video-based Safety - to the next level. This is a high-ownership role launching and scaling new safety products for our customers, leveraging data from our millions of deployed devices.

In this role, you’ll define and build the core components of our perception and prediction stack, deepening our understanding of the road, environment, and surrounding vehicles and using that understanding to change driver behavior. You'll be empowered to experiment boldly, challenge conventional thinking, and demonstrate the transformative power of AI when applied to the most challenging and complex operational environments.

We’re looking for someone with a high degree of customer-obsession and a passion for changing the physical world. The ideal candidate has spent time as a founder or early startup engineer / PM with deep experience applying AI/ML to solve customer problems, and has led at-scale products. You'll collaborate closely with our dedicated teams in Engineering and Design, as well as work cross-functionally with Sales, Marketing, and Customer Success to propel our video-based safety product to its next phase of growth.

Our ambitions for this product are high, and we're excited to invite you to join us!

This is a remote position open to candidates residing in Canada.

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. 

In this role, you will: 

• Define and lead the roadmap for core components of Samsara’s perception stack running on millions of vehicles worldwide.
• Develop AI/ML models that enable Samsara to have a comprehensive understanding of driver behavior and crash risk and interventions required to reduce that risk.
• Work with our talented engineering teams to conceptualize and launch new safety products to help drive a fast-growing, at-scale business with $1 Billion+ in ARR.
• Build relationships with customers at the forefront of physical operations to deeply understand their business, their needs, and inform our roadmap.
• Lead by example in using AI tools to accelerate product development, customer research, and decision-making.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role:

• 7+ years in a product management and/or product-oriented engineering role.
• Track record of delivering business results for both 0-to-1 and at-scale products.
• Demonstrated experience and passion working on products that leverage state of the art AI/ML/CV.
• Strong technical background, ability to grasp technical concepts, and establish credibility with engineers.
• Experience balancing priorities across a complex set of business goals and engineering teams.

An ideal candidate also has:

• Deep experience creating and growing products leveraging video data.
• Facility with development and deployment of AI/ML models, including training and evaluation pipelines.
• Understanding or experience with foundation models, model quantization and distillation.
• Experience in autonomous vehicles, robotics, physical operations, or on products with a vertically integrated hardware + software stack.
• Familiarity with B2B SaaS products and working with B2B sales teams.

About the role:

The mobile connectivity platform team owns the BLE implementation on all Samsara products. We are looking for a Senior Software Engineer to join our team to build and own the platform on our mobile products: Samsara Driver and Samsara Fleet.

These products support our customers across their entire organization and power their most critical tasks, helping frontline workers and administrators be more efficient when they’re on the go. Over the next few years, we’ll be rapidly adding new unique experiences and products to our portfolio, which means that our mobile products will become even more critical and need to expand to support millions of users. You will be responsible for the end-to-end success of new products and features that delight our customers and further Samsara’s vision.

We use React Native, Typescript, Redux, and GraphQL for our mobile apps, Golang for our backend, and C and Golang for our firmware.

This is a remote position open to candidates residing in Canada. Relocation assistance will not be provided for this role.

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. 

In this role, you will: 

• Help shape the future of our mobile apps by architecting and implementing a connectivity platform for Android and iOS that unlocks product features and delights our customers.
• Work closely with the rest of the mobile team to improve our application architecture and development processes.
• Partner with firmware and backend engineers on the design of the overall connectivity architecture to ensure seamless integration with our hardware products.
• Collaborate with full-stack engineers to guide them through mobile-specific concerns as they plan and build customer-facing features.
• Ensure a top-quality developer experience by improving the reliability and usability of our continuous integration, metrics collection, and mobile build systems.
• Leverage your experience to mentor junior developers and level up the team.
• Produce high-quality, maintainable code, test, collaboratively review, and ship it.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role:

• 7+ years of relevant industry experience in mobile development for Android and/or iOS.
• Has built and shipped high-quality production mobile applications using either native or React Native frameworks.
• 3+ years of professional experience building BLE-enabled mobile applications to interface with hardware products.
• Experience building and using observability tools, frameworks, and standards.
• Strong leadership skills driving projects and working cross-functionally.
• Strong ability to collaborate with cross-functional teams and drive independent work.
• Passion for exploring and experimenting with new technologies that improve our products for customers.

An ideal candidate also has:

• Experience leading projects from concept to launch.
• Ownership mentality.
• Comfort with ambiguity and the ability to work autonomously to figure things out.

At Samsara, we welcome all. All sizes, colors, cultures, sexes, beliefs, religions, ages, people. We depend on the unique approaches of our team members to help us solve complex problems. We are committed to increasing diversity across our team and ensuring that Samsara is a place where people from all backgrounds can make an impact.

About the role:

We are looking for a Senior Machine Learning Engineer to lead the architectural evolution of our safety systems. You will move our ML stack from siloed, end-to-end models toward a unified Perception Platform Layer. Your mission is to build the robust infrastructure that translates raw sensor data into real-time, high-stakes decisions, ensuring our models perform reliably across both cloud and edge environments.

This is a remote position for candidates based in the US.

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.

In this role, you will work on the following: 

1. Platform Architecture & Unification

• Architect a Unified Perception Layer: Lead the transition from fragmented, task-specific models to a modular perception platform that supports reusable components and downstream safety applications.
• System Design: Design and implement real-time ML systems—from sensor ingestion and tracking to risk reasoning and actuation—ensuring clear interfaces and predictable system behavior.
• Hybrid Deployment: Orchestrate model integration across edge and cloud environments, managing versioning, rollouts, and mission-critical fallback mechanisms.

2. Performance & Reliability Engineering

• Latency Ownership: Own end-to-end latency and reliability for safety-critical pipelines. You will profile, schedule, and optimize messaging and backpressure across the entire stack.
• Observability & Feedback Loops: Build sophisticated monitoring for deployed models to detect drift, false positives/negatives, and latency regressions. You will "close the loop" to ensure production data informs the next iteration of training.

3. Rigorous Evaluation & Safety

• Safety Cases: Develop evaluation frameworks specifically for rare "long-tail" safety events. You will define metrics and build targeted test sets that form the basis for principled ship/no-ship decisions.
• Explainability: Partner with Applied Scientists to ensure research outputs are translated into production code that is not only performant but also debuggable and explainable.

4. Technical Leadership

• Strategic Influence: Shape the system abstractions early in the platform transition to minimize technical debt and maximize future scalability.
• Mentorship: Set the engineering standard for correctness and performance. You will mentor junior and mid-level engineers, fostering a culture of rigorous ML engineering.

Minimum requirements for the role:

• Experience: 6+ years of experience in ML Engineering, with a proven track record of shipping models in production (ideally in safety-critical domains like robotics, automotive, or industrial AI).
• Systems Mastery: Deep understanding of distributed systems, performance profiling, and computer vision.
• Infrastructure Fluency: Experience with Cloud ML workflows (AWS/GCP/Azure) and containerization, paired with an understanding of the constraints of edge hardware.
• Architectural Mindset: You don't just write code; you design systems. You understand the trade-offs between model complexity and operational reliability.

An ideal candidate also has:

• Ph.D. in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)
• Experience with containerization technologies (e.g., Docker, Kubernetes), continuous integration/continuous deployment (CI/CD) pipelines, and infrastructure-as-code (IaC) frameworks
• Familiar with deploying and managing ML applications in cloud environments, as well as leveraging cloud-based services for data storage, processing, and inference
• Experience building end-to-end ML applications from scratch

About the role:

Samsara is looking for an experienced Technical Support Engineer to provide world-class hardware and software support experience to our customers. You will be a part of our Tier 2 support team within the umbrella of the Global Technical Support organization. You will be responsible for resolving complex customer problems and improving support across all teams. Your work will be collaborative in nature, working together with other support engineers in multiple support locations to serve our customers and troubleshoot complex issues.  

The ideal candidate will have a strong technical background with experience in a technical support role, proven customer-facing skills, and strong communication skills. You understand the day-to-day aspects of customer support including managing tickets, building knowledge base articles, and providing product feedback to Engineering and PM teams. 

This is a remote role open to candidates residing in Canada.

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, and countless opportunities to experiment and master your craft in a hyper-growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best. 

In this role, you will: 

• Product Expertise: Become an expert on Samsara’s product portfolio of complete Internet of Things (“IoT”) solutions combining hardware, software, and cloud to bring real-time visibility, analytics, and AI to operations across multiple industries.
• Technical Troubleshooting: Use your technical knowledge and product expertise to troubleshoot and resolve customer issues with medium to high complexity.
• Responsiveness & Resolution: Respond to customers and resolve their inquiries in a timely and helpful manner with a primary focus on meeting our SLA goals.
• Documentation: Partner with Enablement to author and maintain customer-facing knowledge base articles to help improve the self-serviceability for our end users.
• Partnerships: Work closely to develop partnerships with our Engineering and Product teams in order to reproduce bugs and build testbeds as necessary.
• Feedback Loop: Provide direct feedback to Support Management for product and process improvements to help enhance the customer experience.
• Team Player: Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role:

• B.S. in Computer Science, Engineering (Mechanical/Electrical), or other technical fields.
• 3–5 years of experience in support, engineering, or other technical roles, including 1–2 years of demonstrated proficiency in troubleshooting mobile applications.
• Strong familiarity with using CRMs like Zendesk or Salesforce.
• Technical know-how - you’re comfortable interfacing with engineers, translating complex technical concepts into everyday language, and working with SaaS systems.
• Excellent customer service and interpersonal skills coupled with the ability to influence individual contributors and leaders across the company.
• Excellent written and verbal communication skills, you can speak both Engineer and Human.
• Strong bias for action, ability to dive deep, and insistence on the highest standards.
• Ability to work in a hyper-growth environment with shifting priorities.
• Willingness to work holidays and weekends as needed to meet customer demands. 

An ideal candidate also has:

• Experience with industrial systems, electronics, tinkering with cars or IoT devices, or similar hands-on work is a big plus.
• Experience troubleshooting API’s.
• Being bilingual in Spanish, or French is a big plus.

About the role:

Samsara is looking for an experienced Technical Support Engineer to provide world-class hardware and software support experience to our customers. You will be a part of our Tier 2 support team within the umbrella of the Global Technical Support organization. You will be responsible for resolving complex customer problems and improving support across all teams. Your work will be collaborative in nature, working together with other support engineers in multiple support locations to serve our customers and troubleshoot complex issues.  

The ideal candidate will have a strong technical background with experience in a technical support role, proven customer-facing skills, and strong communication skills. You understand the day-to-day aspects of customer support including managing tickets, building knowledge base articles, and providing product feedback to Engineering and PM teams. 

This is a remote role open to candidates residing in Mexico.

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, and countless opportunities to experiment and master your craft in a hyper-growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best. 

In this role, you will: 

• Product Expertise: Become an expert on Samsara’s product portfolio of complete Internet of Things (“IoT”) solutions combining hardware, software, and cloud to bring real-time visibility, analytics, and AI to operations across multiple industries.
• Technical Troubleshooting: Use your technical knowledge and product expertise to troubleshoot and resolve customer issues with medium to high complexity.
• Responsiveness & Resolution: Respond to customers and resolve their inquiries in a timely and helpful manner with a primary focus on meeting our SLA goals.
• Documentation: Partner with Enablement to author and maintain customer-facing knowledge base articles to help improve the self-serviceability for our end users.
• Partnerships: Work closely to develop partnerships with our Engineering and Product teams in order to reproduce bugs and build testbeds as necessary.
• Feedback Loop: Provide direct feedback to Support Management for product and process improvements to help enhance the customer experience.
• Team Player: Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role:

• B.S. in Computer Science, Engineering (Mechanical/Electrical), or other technical fields.
• 3–5 years of experience in support, engineering, or other technical roles, including 1–2 years of demonstrated proficiency in troubleshooting mobile applications.

Being bilingual in English and Spanish is a must. 

• Strong familiarity with using CRMs like Zendesk or Salesforce.
• Technical know-how - you’re comfortable interfacing with engineers, translating complex technical concepts into everyday language, and working with SaaS systems.
• Excellent customer service and interpersonal skills coupled with the ability to influence individual contributors and leaders across the company.
• Excellent written and verbal communication skills, you can speak both Engineer and Human.
• Strong bias for action, ability to dive deep, and insistence on the highest standards.
• Ability to work in a hyper-growth environment with shifting priorities.
• Willingness to work holidays and weekends as needed to meet customer demands. 

An ideal candidate also has:

• Experience with industrial systems, electronics, tinkering with cars or IoT devices, or similar hands-on work is a big plus.
• Experience troubleshooting API’s.
• Trilingual English, Spanish, and French is a big plus.