Available Locations: Austin, Seattle, London, Lisbon, Washington DC, Toronto

About the Department

Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization.

About the Team

ETI’s Storage Infrastructure team is responsible for the core storage layer that underpins many of ETI's stateful services. Our scope ranges from managing the physical hardware to operating the distributed databases and storage systems built upon it. We run this infrastructure globally across Cloudflare's network, which presents unique and complex engineering puzzles. We navigate efficiently expanding storage capacity, optimizing rebuild operations, and coordinating operations across failure domains to uphold durability. While other service teams focus on product development, our mission is to ensure the underlying storage is reliable, performant, and scalable.

You’ll be joining a highly motivated team that is building the next generation of distributed storage services.

What You’ll Do

In this role, you will help build and operate the next generation of globally distributed storage systems. You will own your code from inception to release, delivering solutions at all layers of the stack. On any given day, you might write a design document for a new provisioning system, model failure domain dependencies across edge locations, benchmark new storage hardware, build standardized observability and runbooks for distributed database clusters, or automate operational toil through purpose-built tooling and intelligent automation. You can expect to interact with a variety of languages and technologies including Rust, Go, Saltstack, and Terraform.

Examples of desirable skills, knowledge, and experience

• Strong programming skills with languages like Rust, Go, or Python
• A solid understanding of distributed systems concepts such as consistency, consensus, data replication, fault tolerance, and partition tolerance
• Experience with distributed databases and storage systems
• Experience with infrastructure configuration tooling and infrastructure as code
• Familiarity with storage fundamentals: block devices, filesystems, SSD characteristics
• Experience building and maintaining high-throughput, low-latency systems
• Understanding of network fundamentals as they relate to distributed storage -- bandwidth constraints, latency tradeoffs, cross-datacenter replication
• Strong written and verbal communication skills and ability to explain technical decisions clearly
• Comfortable operating in fast-paced environments with tight deadlines and evolving priorities

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

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

About Windscribe

Windscribe is a leading cyber security and privacy company launched in April 2016 and now with more than 70 million users. We believe that the internet was created so that people across the globe could have access to any type of information, no matter where they are. Our mission is to transform the internet with easy-to-use yet powerful privacy and security tools that allow anyone to circumvent censorship, access geographically restricted content, and minimize their exposure to marketers, criminals, and surveillance dragnets. Our well-received applications have appeared on Lifehacker, Techradar, and CNET.

Headquartered in Toronto, Canada, Windscribe operates two products:

• Windscribe is a suite of privacy, anonymity and anti-censorship tools for the masses.
• Control D is a modern and customizable DNS service that blocks threats, unwanted content and ads - on all devices. Onboard in minutes, and forget about it.

We have infrastructure all over the world and our goal is preserving uncensored Internet access and online privacy for all. Right now we are looking for a Site Reliability Engineer to help us tame DNS.

About the Position

• Linux system administration and troubleshooting
• Network configuration and troubleshooting
• Working with Salt configuration management software to admin hosts
• Write Python scripts for automation
• Use your comprehensive understanding of DNS to troubleshoot and resolve issues across different operating systems and networking environments.
• Solve infrastructure projects and help developers launching new software into production
• Join our critical incident response team in an established on-call rotation.
• Build comprehensive and beautiful documentation.
• Improve operational checklists, processes and validations making them error-proof.

Qualifications & Experience 

We’re looking for your version of “seen it all (mostly)”. You may not have deep knowledge in all parts of the stack but you know the lay of the land. You’re quick to learn, but already possess a solid understanding of all things DNS.

• Proven track record of completing complex work independently
• Solid understanding of the Linux Operating System
  • Filesystem and permissions
  • Firewall (iptables) and networking setup
  • System management (systemd)
• Infrastructure as Code (IaC) experience (Salt / Ansible /Terraform / Opentofu / Chef / Puppet) 
• Develop automation
  • Python, Bash
• Experience with network troubleshooting is a must
  • Command line tools (dig, dog, delv, ping, nping, mtr)
  • Packet Capture (tcpdump, wireshark, termshark)
• Solid understanding of networking concepts
  • OSI model, TCP/IP, UDP/TCP
  • IP addresses and Subnetting
  • Routing, unicast and anycast, BGP
• Domain Name System protocol on lock
  • Record Types
  • Resolution paths and server types
  • DNSSEC extensions (record signing, client subnet)

Bonus if you have

Compensation and Perks

• Salary: 140K - 180K CAD per annum
• This position is REMOTE in Canada only but you MUST reside in the Eastern Time Zone
• Toronto office welcomes all to get together for face time and social gatherings with the team regularly

#li-remote

#LI-JM1

Location: This role can be based at our office in Bothell, WA (US) or in Oxford, England (UK).
Travel: Twice per year
Job ID: 1453

The Role

As a Staff Software Engineer for Developer Tools, you will be responsible for delivering the next generation of quantum compiler tools and features, with the focus of integration into quantum software applications, overall developer experience, documentation and developer tooling. Your work will involve setting high-level technical standards, mentoring senior engineers and scientists, and providing deep expertise to solve the most challenging problems in quantum compilation, optimization, and hardware interfaces. You will drive the adoption and enhancement of critical, user-facing compiler infrastructure, ensuring our tools are aligned with cutting-edge quantum research (e.g., advanced error mitigation, novel compiler optimization techniques). You will work across organizational boundaries, Compiler, QEC, Applications, and Engineering, to support scientific breakthroughs and define the technical strategy for packaging, documentation, and release processes for major components of IonQ’s developer tooling ecosystem.

The Developer Tools team builds the critical software layer for IonQ’s quantum software tools. In this Staff role, you will be a key driver in shaping the future of this ecosystem, and bridging the gap between critical parts of our engineering and computing organizations. Your impact will be measured by the successful delivery of critical, cross-functional projects and the elevation of technical execution across the entire team.

As a Staff Software Engineer, your influence extends beyond a single project; you define the technical bedrock upon which IonQ's developer ecosystem is built. The compiler is the critical interface where quantum algorithms are realized on hardware, and your architectural decisions will dictate the performance ceiling and accessibility of our systems. You will lead the charge in making advanced quantum techniques, from sophisticated hardware-aware compilation to state-of-the-art error mitigation, seamlessly available to every developer. This role offers the unique opportunity to leverage your deep experience to solve fundamental technical challenges, mentor the next generation of quantum software leaders, and accelerate the global adoption of quantum computing.

Responsibilities

• Define the technical strategy and roadmap for major components of the compiler toolchain, optimization suite, and developer interfaces, ensuring long-term maintainability and performance.
• Serve as the primary architect and technical lead for large, complex engineering projects spanning multiple teams (e.g., integrating a new compilation paradigm or full-stack error mitigation strategy).
• Drive the design and implementation of highly scalable and robust interfaces for hardware-specific compilation features, including advanced pulse-level control and system diagnostics.
• Establish best practices and mentor engineers on software architecture, design patterns, testing methodologies, and maintainership.
• Collaborate closely with research teams to evaluate, prototype, and productize novel quantum algorithms and compilation techniques, bridging the gap between research and production.
• Oversee the comprehensive documentation, examples, tutorials, and packaging strategy for all compiler-related developer tools to ensure ease of adoption and a world-class user experience.
• Act as a key technical resource for the Applications Engineering team, providing deep expertise to employ compilation techniques to solve customer-specific challenges and gather requirements for new features.
• Champion continuous improvement in software engineering processes, automated testing, CI/CD, and validation standards across the Developer Tools organization.

Requirements:

• Bachelor's degree in Computer Science, Engineering, Physics, or a related field, or equivalent training, fellowship, or work experience.
• 10+ years of professional software engineering experience, with a significant portion spent in a technical leadership or architectural role.
• Deep expertise in Python and experience designing and maintaining large-scale, performance-critical software systems.
• Expert-level understanding of quantum computing principles, quantum circuits, optimization techniques, and compiler fundamentals.
• Proven track record of driving complex, cross-functional engineering projects from concept to production delivery.
• Experience in system-level architecture and design, translating high-level requirements into clear, actionable technical specifications and implementation plans.
• A history of mentorship and elevating the technical capabilities of a multi-level engineering team.
• Familiarity with Agentic AI coding tools and techniques, and experience integrating them into modern software development workflows.
• Exceptional written and verbal communication skills, with a track record of authoring impactful technical papers, specifications, and external documentation.

Preferred Qualifications:

• An advanced degree (PhD or Master's) in Physics, Computer Science, or a related field with a focus on quantum computing or compiler technologies.
• Direct experience in compiler development (classical or quantum), particularly with optimization passes, intermediate representations, or static analysis tools.
• Deep expertise in system-level programming (C++, Rust) for high-performance computing or hardware interaction.
• Significant contributions to open-source software, especially in the quantum computing ecosystem (e.g., Qiskit, Pennylane, Cirq, ucc, jeff).
• Experience with low-level hardware control, pulse-level programming, dynamic circuits, or systems programming.
• A strong background in applied quantum error correction (QEC) or advanced quantum error mitigation techniques.
• A demonstrated ability to influence technical direction across organizational boundaries and secure buy-in for strategic initiatives.

The approximate base salary range for this position is $167,808 - $219,704 (USD). The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.

Available Locations: Toronto, ON

About the Role

Cloudflare’s Senior Forward Deployed Engineers (FDEs) operate at the intersection of product engineering and customer impact.

As an FDE, you will be embedded within one of Cloudflare’s most strategic global customers, working side-by-side with their engineering teams to build and deploy solutions using Cloudflare’s platform. Unlike traditional Solutions Architects or consultants, you will write production code, shape technical architecture, and directly influence how Cloudflare products are used at massive scale.

You will operate as a technical extension of both organizations - helping the customer ship faster while surfacing real-world product insights back to Cloudflare engineering.

This role is ideal for engineers who want to:

• Stay deeply technical
• Work on real production systems
• Influence product direction
• Build long-term partnerships with world-class engineering teams

Responsibilities

• Deep Technical Embedding: Serve as the dedicated, long-term technical partner within a strategic customer’s engineering organization, operating as a trusted extension of their team.
• Production-Level Engineering: Design, build, and deploy production-ready code and configurations directly into customer infrastructure using the Cloudflare platform.
• Technical Accountability: Own the account's technical success across the entire Cloudflare portfolio. Serve as the primary technical point of contact, with other Cloudflare technical resources taking direction from your technical strategy for the account.
• Operational Integration: Participate in customer engineering rituals, including daily standups, design reviews, and real-time incident response.
• Platform Advocacy & Adoption: Identify opportunities to accelerate the adoption of Cloudflare services, unlocking new capabilities across the customer’s tech stack.
• Platform Breadth & Depth: Deep technical competence in building production applications on a modern stack, combined with the willingness and ability to go deep on all Cloudflare product areas. From Workers to security, networking, and observability.
• Feedback Loop & Product Influence: Surface real-world edge cases and product gaps directly to Cloudflare’s Product and Engineering teams to influence the developer platform roadmap.
• Strategic Relationship Management: Establish and maintain trusted technical relationships with senior leadership (Staff+ engineers, Directors, and VPs).
• On-Site Presence: Maintain a regular on-site presence at customer locations to foster deep collaboration and cultural alignment.

Requirements

• Proven Engineering Pedigree: 7+ years of professional software engineering experience. You are a builder at heart, with a track record of delivering production-grade systems, not just advising on them.
• Production Ownership & Operational Maturity: You have owned mission-critical services with real-world users. You understand the gravity of on-call rotations, the urgency of incident response, and the architectural rigor required to maintain "five nines" uptime.
• Active Practitioner: You are currently in the IDE. You have a "ship-first" mentality and maintain a high velocity, staying current with modern frameworks, languages, and deployment patterns.
• Full-Stack Architectural Depth: Broad technical fluency across the entire stack—from frontend performance and backend logic to database optimization and distributed infrastructure.
• AI-Native Development: You have integrated AI-augmented workflows (e.g., Windsurf, OpenCode) into your daily development cycle to accelerate prototyping and delivery.
• Systems Design & Strategic Thinking: Ability to decompose complex business requirements into scalable, resilient technical architectures. You can visualize the "big picture" without losing sight of the implementation details.
• Cloud Ecosystem Fluency: Deep experience with at least one major cloud provider (AWS, GCP, or Azure), including an understanding of serverless, networking, and security primitives.
• High Agency & Navigating Ambiguity: You are a self-starter who thrives in "zero-to-one" environments. You don't wait for a ticket; you identify the problem and own the solution from end-to-end.
• Executive Presence: Comfortable engaging in high-stakes technical and strategic discussions with VP-level stakeholders, with the ability to translate complex engineering trade-offs into business impact.

Nice to Have

• Direct experience building on Cloudflare Workers, or the broader Cloudflare Developer Platform.
• Previous experience at a fast-paced startup or in a customer-facing engineering role where you operated directly within a partner’s codebase.
• A visible public profile, including open-source contributions, technical blogging, or speaking engagements at industry conferences.

Compensation

Compensation may be adjusted depending on work location.

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

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

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.

• 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.

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.

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.

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.

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.

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.

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.

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 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.

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.

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.

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.

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.

• 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 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.

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.

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 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.

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.

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.

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.

We are hiring a talented software engineer to help us build the next generation of photonic AI processors and interconnects. In this role, you will be responsible for developing and extending the device software and firmware stack for Photonic Compute and Photonic interconnect products. You will collaborate with other software teams and hardware systems teams to develop security, telemetry, virtualization, and remote administration functionality.

Responsibilities

• Collaborate across a multidisciplinary team including Photonic, Analog, Digital, Systems and Network experts to define control plane architecture for Lightmatter's photonic interconnect products.
• Define diagnostics and monitoring architecture for photonic transceivers.
• Integrate with DataCenter administration capabilities using environments such as CMIS, OpenBMC and DMTF.
• Debug and troubleshoot embedded systems using tools such as GDB, JTAG, and logic analyzers.
• Participate in customer engagements to gather requirements and usability criteria.

Qualifications

• BS and 8+ years of experience, or MS and 6+ years of experience.
• Degree in Computer Science, Electrical Engineering, Robotics, or a related technical field.
• Industry experience with device driver and kernel side development.
• Strong understanding of hardware-software integration.
• Practical knowledge of communication and control in embedded systems, peripherals, and buses.
• Experience with developing commercial/enterprise-level software and firmware on Linux.
• Experience with Git and CMake for building and managing software projects.
• Hands-on experience designing, simulating, or deploying control of autonomous systems.

Preferred Qualifications

• Proficiency with Python or C++.
• Familiarity with debugging tools such as GDB, JTAG, and logic analyzers.
• Experience developing firmware for photonic transceivers or similar systems.
• Experience with environments such as CMIS, OpenBMC and DMTF.
• Experience with optical communication systems and technologies.

We are hiring a talented software engineer to help us build the next generation of photonic AI processors and interconnects. In this role, you will be responsible for developing and extending the device software and firmware stack for Photonic Compute and Photonic interconnect products. You will collaborate with other software teams and hardware systems teams to develop security, telemetry, virtualization, and remote administration functionality.

Responsibilities

• Collaborate across a multidisciplinary team including Photonic, Analog, Digital, Systems and Network experts to define control plane architecture for Lightmatter's photonic interconnect products.
• Define diagnostics and monitoring architecture for photonic transceivers.
• Integrate with DataCenter administration capabilities using environments such as CMIS, OpenBMC and DMTF.
• Debug and troubleshoot embedded systems using tools such as GDB, JTAG, and logic analyzers.
• Participate in customer engagements to gather requirements and usability criteria.

Qualifications

• BS and 8+ years of experience, or MS and 6+ years of experience.
• Degree in Computer Science, Electrical Engineering, Robotics, or a related technical field.
• Industry experience with device driver and kernel side development.
• Strong understanding of hardware-software integration.
• Practical knowledge of communication and control in embedded systems, peripherals, and buses.
• Experience with developing commercial/enterprise-level software and firmware on Linux.
• Experience with Git and CMake for building and managing software projects.
• Hands-on experience designing, simulating, or deploying control of autonomous systems.

Preferred Qualifications

• Proficiency with Python or C++.
• Familiarity with debugging tools such as GDB, JTAG, and logic analyzers.
• Experience developing firmware for photonic transceivers or similar systems.
• Experience with environments such as CMIS, OpenBMC and DMTF.
• Experience with optical communication systems and technologies.

We are hiring a talented software engineer to help us build the next generation of photonic AI processors and interconnects. In this role, you will be responsible for developing and extending the device software and firmware stack for Photonic Compute and Photonic interconnect products. You will collaborate with other software teams and hardware systems teams to develop security, telemetry, virtualization, and remote administration functionality.

Responsibilities

• Collaborate across a multidisciplinary team including Photonic, Analog, Digital, Systems and Network experts to define control plane architecture for Lightmatter's photonic interconnect products.
• Define diagnostics and monitoring architecture for photonic transceivers.
• Integrate with DataCenter administration capabilities using environments such as CMIS, OpenBMC and DMTF.
• Debug and troubleshoot embedded systems using tools such as GDB, JTAG, and logic analyzers.
• Participate in customer engagements to gather requirements and usability criteria.

Qualifications

• BS and 8+ years of experience, or MS and 6+ years of experience.
• Degree in Computer Science, Electrical Engineering, Robotics, or a related technical field.
• Industry experience with device driver and kernel side development.
• Strong understanding of hardware-software integration.
• Practical knowledge of communication and control in embedded systems, peripherals, and buses.
• Experience with developing commercial/enterprise-level software and firmware on Linux.
• Experience with Git and CMake for building and managing software projects.
• Hands-on experience designing, simulating, or deploying control of autonomous systems.

Preferred Qualifications

• Proficiency with Python or C++.
• Familiarity with debugging tools such as GDB, JTAG, and logic analyzers.
• Experience developing firmware for photonic transceivers or similar systems.
• Experience with environments such as CMIS, OpenBMC and DMTF.
• Experience with optical communication systems and technologies.

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

Proto is accelerating the world's transition to an open economy with products that increase access and independence for everyone. We're building Bitkey, a simple and safe self-custody bitcoin wallet that will put customers in control, as well as hardware and software that will help decentralize bitcoin mining and enable new and innovative use cases for bitcoin mining. We're developing these products in the open - you can read more about them at bitkey.build and mining.build. Within Proto, our Bitcoin Products team delivers the product and go-to-market strategy, software, firmware, and custom silicon needed to make Bitkey and our ambitious mining initiatives a reality. Come build the future of money with us!

The Role

We are looking for an ASIC Validation Engineer to help bridge the gap between custom mining silicon design and real-world operation. In this highly hands-on, lab-focused role, you'll work closely with ASIC designers and system engineers to debug issues, build test infrastructure, and generate the data needed to enable rapid design iteration and system-level development.

You Will:

• Bring up new silicon on bench platforms, evaluation boards, and system hardware
• Debug issues across ASIC, board, firmware, and system interactions
• Develop bench tests, scripts, and tools to exercise silicon features and collect data
• Build and maintain test setups (lab automation, instrumentation, fixtures, scripts)
• Partner with ASIC designers to validate functionality and root-cause failures
• Work with system engineers to ensure silicon performs correctly in target system environments, including mining systems
• Generate and analyze data to support design decisions, characterization, and bring-up
• Create lightweight, reusable test workflows and documentation for the broader team
• Support early manufacturing efforts with practical validation and debug, as needed
• Travel up to 20% to the labs in Oakland, CA or Toronto, Canada

You Have:

• Bachelor's degree in Electrical Engineering or related field
• 4+ years of experience in silicon validation, hardware test, or related roles
• Strong hands-on experience in a lab environment (bench bring-up, debugging, instrumentation)
• Solid understanding of digital systems and basic analog concepts
• Experience writing scripts or tools (Python preferred) for test and data analysis
• Comfortable debugging issues that span multiple layers (ASIC ↔ board ↔ system)
• Clear communication skills and ability to work closely with cross-functional teams

Preferred:

• Experience with ASIC or FPGA bring-up and validation
• Familiarity with common interfaces (SPI, I2C, JTAG, UART, etc.)
• Experience using lab equipment (oscilloscopes, logic analyzers, power supplies, etc.)
• Exposure to high-performance, power-dense systems (e.g., mining ASICs, accelerators, or similar)
• Experience building test automation or internal tooling
• Familiarity with data analysis and visualization

Nice to Have

• Experience working with early silicon / first bring-up environments
• Exposure to manufacturing test or ATE
• Experience working on systems with tight power, thermal, and performance constraints

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

About the role:

As an Enterprise Field Sales Engineer at Samsara, you’d be an integral part of a diverse team working to help modernize essential industries through the application of cutting-edge IoT solutions.  Your work would directly contribute to a cleaner, more efficient, and productive supply chain by creating safer roadways, reducing fuel consumption and emissions, and providing a consolidated platform for connecting operations.  Our daily customer engagements include conversations around how IoT can positively impact logistics management, workplace safety programs, fleet maintenance strategies, global asset management, and regulatory compliance.  This means a successful SE at Samsara will develop a thorough understanding of the application of IoT hardware and sensors, hands-on hardware installation strategies, managing data collection over carrier networks, presenting a robust cloud infrastructure, and building third-party system integrations (via our open API) to ensure the best technical solution is presented to Samsara customers.

This is a remote position open to candidates within the greater Toronto area. This position requires domestic and international travel up to 50% of the time and proximity to a major airport is preferred.

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, and most importantly, ensure workers return home safely.
• You have an innate curiosity about how businesses work: One day you’ll meet with someone in waste management and the next you may be learning about the inner workings of a food distribution center. Our top sales team members seek to learn the ins and outs of the businesses they support in order to make a larger impact. 
• You build genuine relationships with your customers: The industries we serve have relied on pen-and-paper solutions for years and haven’t been met with the type of technology we offer. Our customers value earned trust and human relationships built over time.
• You want to be with the best: Samsara’s high-performance culture means you’ll be surrounded by the best and challenged to go farther than you have before. 
• You are a team player: At Samsara, sales is a team sport. We help each other out by sharing best practices and focusing on winning as a team.

In this role, you will: 

• Become an expert on Samsara products: where the rubber of cutting-edge tech (IoT, AI, computer vision) meets the road of driving digital transformation for physical operations.
• Articulate to prospects how businesses like theirs use Samsara today to solve obstacles common to their industry.
• Deliver the work products that get deals done.  Think discoveries, demonstrations, value assessments, proof of concept implementations, etc.
• Walk installers through any scenario, explaining best practices for installing Samsara products and helping build deployment plans.
• Write sample proof-of-concept scripts against our open API that solve real-world problems for companies that deliver essential services (for example), and document them for your fellow SE’s to use.
• Open the door for deeper entrenchment into accounts (integration, upsell, cross-sell) by becoming a consultant to your customers.
• Act as a liaison between Samsara’s product and sales teams, translating technical feedback and enrolling the right customers in our beta programs.
• 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:

• Bachelor’s of Science degree from a 4-year accredited university.
• 5 years of experience working with customers in a pre-sales, customer success, or customer/product support capacity.
• Possess the attitude and aptitude for continuous growth and development.
• Ability to influence stakeholders based on your technical sales acumen and a solid understanding of business processes and change management.
• Ability to explain complex technical concepts to non-technical audiences.
• Previous experience managing hardware and/or software product evaluations.
• Basic understanding of electronics and electrical systems.
• Experience with the following concepts: technical consulting, cloud software, cloud-connected hardware, computer networking, business systems integration, automation, and control systems.

An ideal candidate also has:

• Bachelor’s of Science degree or advanced education in Electrical Engineering, Computer Science, Mechanical Engineering, Industrial Engineering, or related discipline.
• 8+ years of enterprise experience working with customers in a pre-sales environment.
• Understanding of vehicle diagnostic systems, including Controller Area Networks (CAN bus) and Power Take Off (PTO) applications.
• Skilled in the art of identifying customer value - identifying on delivering what is most important to the customer and tuning out the noise.
• Hobbyist interest in working with things driven by electronic systems (car audio installation/classic car restoration, home automation, building things with Raspberry Pi, Arduino, etc.).
• Consistent track record of success selling complex technical solutions through strategic sales cycles.
• Work experience in task automation scripting and transferring data between systems using Bash, Python, JavaScript, or equivalent language.
• Work experience building solutions leveraging open APIs.

About Us

AfterShip, a Great Place to Work Certified company, is transforming the global eCommerce landscape. Founded in 2012, AfterShip is a post-purchase SaaS company on a mission to build the world’s leading automation platform for ecommerce merchants.

AfterShip unifies shipping & labels, order tracking, AI predictive delivery, and returns management into one system—giving merchants a single place to manage and automate everything that happens after checkout. By centralizing these workflows, AfterShip enables merchants to reduce customer support inquiries, deliver a more reliable and engaging customer experiences, and unlock incremental revenue at every post-purchase touchpoint.

AfterShip integrates seamlessly with ecommerce platforms including Shopify and TikTok Shop, and connects with more than 1,200 carriers worldwide. Today, over 20,000 businesses—including Samsung, Gymshark, Vivino, Harry’s, Mous, and Rakuten—rely on AfterShip to turn every post-purchase moment into an opportunity to build trust, reduce costs, and drive repeat purchases.

Built for a global market from day one, AfterShip operates with an engineering-driven, internationally distributed team. The company employs more than 450 people across 8 offices, spanning North America, Europe, and Asia, and representing over 20 cities worldwide.

Your Mission:

As a Senior IT Specialist at AfterShip, you will be the foundational pillar for our IT operations across our North American (NA) and European (EU) hubs. You will act as the critical bridge between our growing global teams, ensuring our technology infrastructure scales seamlessly with our business. While our Global Hub architects global security frameworks and SaaS automation, you will own the execution out of the Toronto hub.

Your primary objective is to champion a world-class employee experience by providing high-touch support that eliminates time-zone friction. You aren't just resolving tickets; you are a trusted technical partner and hands-on builder who manages the entire hardware lifecycle and drives the local adoption of global IT initiatives.

This is a high-impact role reporting to the IT Manager, requiring close collaboration with cross-functional partners in People, Finance, and Global IT. You will serve as the primary guardian of our technology standards in the region, ensuring our teams in NA and EU have the tools they need to build the future of e-commerce.

This is a hybrid-flexible position, with a requirement to come to the Toronto office about 3 times per week.

This role requires collaboration with teams located in Asia and Europe, which may require working outside of regular business hours 1-2 times per week.

What You'll Do:

At AfterShip, our IT runs on a Hub-Spoke model: our global IT Hub owns global identity (Google workspace), SaaS automation, Security frameworks, and MDM policies, while our regional specialists own local execution and employee experience. As the Senior IT Specialist for NA/EU, you’ll be the face of IT for 100+ employees across the region, operating from our Toronto hub.

• IT Support: Serve as the primary technical point of contact for NA/EU employees, with extended coverage for global employees during APAC off-hours, resolving hardware, software, and network issues during local business hours — from MacBook boot failures and VPN issues to Google Workspace access, peripheral setup, and SaaS permission requests. Operate to clear service commitments: 15–30 min response for executive-impacting issues, same-day resolution for workflow-blocking issues, and same-day laptop swap for Toronto-based employees.
• Lifecycle Management: Own the full Day-1-to-offboarding employee experience — laptop procurement and zero-touch configuration, Day-1 IT orientation covering policies and security, account provisioning across our core stack, secure device retrieval and wiping on exit, and timely deprovisioning of access.
• Local Operations: Manage the Toronto and Global IT storage and spare-equipment inventory, keep asset records (user, serial, status) accurate in real time, maintain office network and AV/hybrid meeting room tech, and provide hands-on IT support for leadership visits and regional events. Maintain a 100% MDM-compliant device posture across NA/EU.
• Vendor Management: Own local vendor relationships across NA/EU (Apple Canada/Europe, local logistics, third-party service providers) — procurement, invoicing, contract renewals, and after-sales support without the language or time-zone friction that slows cross-region buying.
• Global Bridge: Act as the primary liaison between NA/EU teams and the Global IT Hub. Execute global IT rollouts globally (new MDM policies, security tooling, SaaS automation), do first-pass triage on Tier-2 issues before escalation, and keep a regular sync cadence with the Hub.
• Reporting & Insights: Report on regional ticket trends, asset lifecycle status, and emerging technical challenges, ensuring global leadership has full visibility into the NA/EU landscape.
• Security & Compliance Support: Contribute to regional IT security and compliance efforts where they intersect with IT operations, such as endpoint/device security, internal network hygiene, access control, SaaS application governance, and audit support. Work with Security, Legal, and cross-functional teams to help implement relevant policies, support risk assessments, and coordinate remediation or compliance follow-ups as needed.

Who We're Looking For:

• 5+ years of hands-on experience in IT Support with mastery of MacOS, iOS, and Google Workspace.
• Proficiency with ticketing systems (Jira), MDM tools (Kandji), and familiarity with security frameworks like SOC 2. Experience operating within a Hub-and-Spoke or global-regional IT structure is a strong plus.
• A proactive problem-solver comfortable being the sole IT representative in the region. Knows when to escalate vs. resolve locally. Comfortable being the sole IT representative on the ground in a hub where decisions get made quickly.
• High attention to detail regarding asset tracking, technical documentation, and inventory management.
• Effective communicator with ability to bridge the gap between global technical teams and local employees, providing clear support and timely updates. Ensuring global alignment by translating regional strategies into actionable local guidance, while facilitating seamless feedback loops between NA/EU and global stakeholders.
• Curious about AI and automation — we actively look for opportunities to reduce repetitive IT work (onboarding, provisioning, ticket triage) and expect you to bring ideas, not just execute them.
• Fluency in English is required; proficiency in Mandarin is highly valued.

At AfterShip, we know great talent doesn’t always fit every requirement. If you’re passionate about our mission and believe you can make an impact, we encourage you to apply.

Why You Should Join Us:

• Great Place to Work Certified: We’ve been recognized for our inclusive, values-driven culture that celebrates diversity and collaboration.
• Innovative & Inclusive Culture: Started by our software engineer-turned-CEO, AfterShip is built on curiosity, creativity, and collaboration. We’re a passionate, global team of problem solvers who put egos aside to innovate together. We take immense pride in fostering a culture that’s inclusive, which has allowed us to surround ourselves with the industry's most talented professionals.
• Ambitious Mission with Real Impact: Join us in transforming eCommerce by making buying and selling easier for everyone. It’s one of the most dynamic spaces in tech, with limitless opportunities to innovate and grow.
• Thrive & Grow: There’s no ceiling to what you can achieve or learn here. We’re committed to empowering your career while advancing together as a company.
• Flexible Work Setup: We’re a remote-first team, meaning by default that employees work from home or on a hybrid-flexible basis in our hub locations (i.e., Toronto, Austin, Barcelona). You’re empowered to choose a work setup that works best for you and your team. With flexible hours depending on your time zone, you’ll be able to have a schedule that fits your working style and the requirements of your role.

Perks:

• Competitive compensation
• Hybrid-flexible work setups
• Healthcare coverage offered from day 1
• Retirement plans including company match
• Unlimited PTO
• Annual learning & wellness benefit
• Monthly book perk
• Career progression & professional development
• In-office lunch and commuter benefits for those located in our hub locations

Salary range for this role: CAD $97,000 - $116,000

We are an equal opportunity employer and provide accommodations upon request throughout the recruitment process, in accordance with local legislation. Please let us know if you require any support, and we’ll work with you to meet your needs.

We believe in hiring right over hiring fast. While timelines may vary, we’re looking to fill this role as soon as possible. 

Our hiring process uses AI to help with initial resume screening and to support interview note-taking. These tools help our team stay organized and fair, but all hiring decisions are made by people.

This job posting is for a new position

About this Role

We are hiring a talented software engineer to help us build the next generation of photonic AI processors and interconnects. In this role, you will be responsible for developing and extending the device software and firmware stack for Photonic Compute and Photonic interconnect products. You will collaborate with other software teams and hardware systems teams to develop security, telemetry, virtualization, and remote administration functionality.

Responsibilities 

• Collaborate across a multidisciplinary team including Photonic, Analog, Digital, Systems and Network experts to define control plane architecture for Lightmatter's photonic interconnect products.
• Define diagnostics and monitoring architecture for photonic transceivers.
• Integrate with DataCenter administration capabilities using environments such as CMIS, OpenBMC and DMTF.
• Debug and troubleshoot embedded systems using tools such as GDB, JTAG, and logic analyzers.
• Participate in customer engagements to gather requirements and usability criteria.

Qualifications

• BS and 8+ years of experience, or MS and 6+ years of experience.
• Degree in Computer Science, Electrical Engineering, Robotics, or a related technical field.
• Industry experience with device driver and kernel side development.
• Strong understanding of hardware-software integration.
• Practical knowledge of communication and control in embedded systems, peripherals, and buses.
• Experience with developing commercial/enterprise-level software and firmware on Linux.
• Experience with Git and CMake for building and managing software projects.
• Hands-on experience designing, simulating, or deploying control of autonomous systems.

Preferred Qualifications

• Proficiency with Python or C++.
• Familiarity with debugging tools such as GDB, JTAG, and logic analyzers.
• Experience developing firmware for photonic transceivers or similar systems.
• Experience with environments such as CMIS, OpenBMC and DMTF.
• Experience with optical communication systems and technologies.

About this Role

We're looking for a Senior Data Systems Engineer who bridges the gap between hardware domain expertise and modern data infrastructure. You won't just build pipelines — you'll work directly with foundries, OSATs, test engineers, and validation teams to understand what the data means, define how it should flow, and build the platform that makes AI-driven decisions possible across 13+ active hardware programs.

This is not a typical data engineering role. The right person has a background in semiconductor manufacturing, photonics, hardware test/validation, or a related hardware discipline — and a strong pull toward data systems, process optimization, and automation. You understand that the hardest part of a data platform isn't the code; it's knowing which data matters and why.

What You'll Do

Program Data Onboarding & Vendor Engagement

• Engage directly with foundries, OSATs, and internal engineering teams to align on data formats, delivery mechanisms, and quality standards for new programs
• Own the data onboarding lifecycle for programs ramping to High Volume Manufacturing (HVM)
• Identify gaps in data coverage across the pipeline: design, foundry, test/validation, photonics characterization, packaging/assembly, and system-level validation
• Influence external and internal teams to adopt scalable, platform-compatible data practices — this is hands-on stakeholder work, not email coordination

Data Platform Engineering

• Design, build, and maintain data pipelines that ingest, transform, and deliver hardware data from wafer-level test through system validation
• Build and maintain data models in dbt on Snowflake that serve downstream analytics, reporting, and AI/ML workflows
• Develop and operate orchestration workflows (Dagster) for reliable, observable data delivery
• Implement data quality checks, monitoring, and alerting to ensure platform reliability across production programs

Performance Metrics & Reporting

• Build performance metrics pipelines that translate raw hardware data into actionable insights for engineering and program teams
• Own stakeholder reporting and deliver training for teams onboarding to platform tools (Snowflake, Sigma, custom dashboards)
• Support AI/ML workflows by ensuring the data foundation is clean, structured, and reliable

Platform Improvement & Tooling

• Contribute to platform infrastructure: CI/CD, RBAC, cost optimization, self-service tooling
• Participate in sprint ceremonies, contribute to architectural decisions, and help shape the team's technical roadmap
• Mentor junior team members on both data engineering practices and hardware domain context

What You Bring

Required

• Bachelor’s Degree in Photonics, Data Engineering, Electrical Engineering or a related field
• 8+ years of professional experience in data engineering, process engineering, test engineering, or a related technical role in semiconductor, photonics, or hardware manufacturing
• Proficiency in Python and SQL
• Experience with Snowflake, dbt, Dagster/Airflow, or similar modern data stack components
• Experience working with data for hardware test, manufacturing, or characterization systems
• Demonstrated ability to work cross-functionally with technical teams and external partners (vendors, foundries, or OSATs) to define data requirements and influence practices
• Strong analytical thinking — you can look at a dataset and understand what it means in the physical world, not just how to transform it

Preferred

• Master’s or PhD in Physics, Electrical Engineering, Photonics, or a related field with 4+ years of experience
• Background in silicon photonics, photonic integrated circuits (PICs), or optical systems
• Experience with High Volume Manufacturing (HVM) ramps or new product introduction (NPI) data workflows
• Familiarity with semiconductor test data formats (STDF, WAT, parametric data)
• Experience building data quality frameworks or monitoring systems
• Experience with AI/ML tools applied to manufacturing or engineering data

About The Role

We’re hiring a staff level full-stack Technical Lead (L6/L7) to own and scale critical parts of the Cerebras Developer Console — the primary interface developers and enterprises use to run and manage inference workloads.

This is a deeply technical, end-to-end role. You’ll build high-quality frontend systems (Next.js, TypeScript) and design backend services (GraphQL, Postgres, Redis) that power usage tracking, billing, quotas, and observability. The systems you build will operate at high scale, require careful data modeling, and balance real-time and batch processing. You’ll be expected to make strong architectural decisions and move quickly from idea to production.

You’ll join an existing, high-velocity team and take ownership of major platform areas such as billing, request logs, and metrics. This is not a “ticket execution” role — you’ll define problems, drive technical direction, and lead execution across the stack. The work directly impacts customer experience and revenue, and the expectations are correspondingly high.

As a Technical Lead, you’ll set the bar for engineering quality and execution. You’ll mentor engineers, drive design reviews, and push the team toward simple, scalable solutions. We’re looking for someone who thrives in fast-moving environments, operates with urgency, and is comfortable navigating ambiguity while shipping high-quality systems.

What You’ll Do

• Own a major area of the platform — take end-to-end responsibility for systems such as billing, usage tracking, quotas, request logs, or metrics.
• Build and evolve core systems — design and implement APIs, services, and UI that power the Developer Console and scale with growing customer usage.
• Make architectural decisions — define system boundaries, data models, and tradeoffs across real-time vs batch processing, performance, and cost.
• Drive projects from 0 → 1 → scale — take ambiguous problems, define solutions, and deliver them to production.
• Lead technical execution — break down work, align engineers, and ensure high-quality delivery across the stack.
• Improve system reliability and visibility — ensure systems are observable, debuggable, and production-ready.
• Partner with product and design — shape developer-facing workflows and experiences.

What We’re Looking For

• Track record of ownership — you’ve led and delivered complex systems end-to-end, not just contributed components.
• Technical depth in backend systems — strong fundamentals in APIs, data modeling, and distributed systems; experience with high-scale or real-time systems is a plus.
• Full-stack capability — comfortable working across frontend and backend, with the ability to make pragmatic tradeoffs.
• Strong technical judgment — you make sound architectural decisions and know when to optimize vs move fast.
• Ability to operate without structure — you bring clarity to ambiguous problems and drive execution independently.
• High standards for quality — you care about correctness, maintainability, and long-term system health.
• Influence and mentorship — you elevate the team through design reviews, guidance, and leading by example.
• Bias for action — you move quickly, unblock yourself and others, and focus on impact.
• Experience in fast-moving environments — comfortable with shifting priorities and evolving scope.
• Experience — typically 8+ years of industry experience building and operating production systems.
• Education — Bachelor’s or master's in computer science (or equivalent practical experience).

Why Cerebras

Cerebras is redefining the speed and scale of AI inference. The systems we build power real-world production workloads, not demos.

• Work on systems that matter — you’ll build core platform infrastructure that directly impacts how customers run and scale AI workloads in production.
• Own meaningful surface area — this is not a narrow role. You’ll take ownership of critical systems (billing, usage, observability) that sit at the heart of the platform.
• Operate at the intersection of product and infrastructure — the work spans developer experience, distributed systems, and real-time data, requiring both strong engineering and product thinking.
• High impact, low bureaucracy — you’ll work in a small, high-performing team where decisions are made quickly and engineers have real influence on direction.
• Grow with the platform — as we expand from cloud offerings into broader infrastructure and cluster management, the scope and technical challenges will continue to grow.

About the Role
We are seeking a versatile and experienced engineer to join our SOTA Training Platform team. This team is responsible to rapidly bring up state-of-the-art open-source models (like LLaMA, Qwen, etc) or customer-provided proprietary models on our Cerebras CSX systems. Success in this role requires a system-minded generalist who thrives in fast-paced bringup environments and is comfortable working across the entire Cerebras software stack.
Your work will play a critical role in achieving unprecedented levels of performance, efficiency, and scalability for AI applications.

• Contribute to the end-to-end bring up of ML models on Cerebras CSX systems.
• Work across the stack: model architecture translation, graph lowering, compiler optimizations, runtime integration, and performance tuning.
• Debug performance and correctness issues spanning model code, compiler IRs, runtime behavior, and hardware utilization.
• Propose and prototype improvements across tools, APIs, or automation flows to accelerate future bring ups.
• Study emerging training and post-training algorithms and map to Cerebras software architecture and hardware.

• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field.
• 5+ years of relevant industry experience (internship/co-op experience included)
• Comfort navigating the full AI toolchain: Python modeling code, compiler IRs, performance profiling, etc.
• Strong debugging skills across performance, numerical accuracy, and runtime integration.
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and familiarity with model internals (e.g., attention, MoE, diffusion).
• Proficiency in C/C++ programming and experience with low-level optimization.
• Proven experience in compiler development, particularly with LLVM and/or MLIR.
• Strong background in optimization techniques, particularly those involving NP-hard problems.
• Familiarity with large scale ML systems and state of the art algorithms, including model training and reinforcement learning.

• Competitive salary and benefits package.
• Opportunities for professional growth and career advancement.
• A dynamic and innovative work environment.
• The chance to work on cutting-edge technologies and make a significant impact on the future of AI.

About The Role

We are building the next generation of large-scale AI systems that power training and inference workloads at unprecedented scale and efficiency.

You will design and develop high-performance distributed software that orchestrates massive compute and data pipelines across heterogeneous clusters. Your work will push the limits of concurrency, throughput, and scalability—enabling efficient execution of models at massive scale. This role sits at the intersection of systems engineering and machine learning performance, demanding both architectural depth and low-level implementation skills. You will help shape how models are executed and optimized end-to-end, from data ingestion to distributed execution, across cutting-edge hardware platforms.

We’re hiring for runtime roles across both Training and Inference.

Responsibilities

• Design and implement distributed runtime components to efficiently manage large-scale execution workloads.
• Develop and optimize high-performance data and communication pipelines that fully utilize CPU, memory, storage, and network resources.
• Enable scalable execution across multiple compute nodes, ensuring high concurrency and minimal bottlenecks.
• Collaborate closely with ML and compiler teams to integrate new model architectures, training regimes, and hardware-specific optimizations.
• Diagnose and resolve complex performance issues across the software stack using profiling and instrumentation tools.
• Contribute to overall system design, architecture reviews, and roadmap planning for large-scale AI workloads.

Skills & Qualifications

• 3+ years of experience developing high-performance or distributed system software.
• Strong programming skills in C/C++, with expertise in multi-threading, memory management, and performance optimization.
• Experience with distributed systems, networking, or inter-process communication.
• Solid understanding of data structures, concurrency, and system-level resource management (CPU, I/O, and memory).
• Proven ability to debug, profile, and optimize code across scales—from threads to clusters.
• Bachelor’s, Master’s, or equivalent experience in Computer Science, Electrical Engineering, or related field.

Preferred Skills & Qualifications

• Familiarity with machine learning training or inference pipelines, especially distributed training and large-model scaling.
• Exposure to Python and PyTorch, particularly in the context of model training or performance tuning.
• Experience with compiler internals, custom hardware interfaces, or low-level protocol design.
• Prior work on high-performance clusters, HPC systems, or custom hardware/software co-design.
• Deep curiosity about how to unlock new levels of performance for large-scale AI workloads.

The Role:
In this exciting role, you will be responsible for bring up and optimizations of Cerebras’s Wafer Scale Engine (WSE). Suitable candidate will have experience delivering end to end solutions working closely with teams across chip design, system performance, software development and productization.

Responsibilities:

• On Wafer Scale Engines, develop and debug flows that embed well tested and deployable optimizations in production processes to reduce time and costs 
• Work on refining AI Systems across H/W-S/W design constraints such as di/dt, V-F characterization space, current and temperature limits in relation to optimizations for performance.
• Develop/Enhance infrastructure to enable silicon for real world workload testing
• Develop self-checking metrics, as well as instrumentation for debug and coverage
• Work with the silicon architects/designers, performance engineers and software engineers to enhance performance of Wafer Scale Engines.
• Work across domains such as, Software, Design, Verification, Emulation & Validation to refine and optimize performance and process.
• Work with CI/CD tools, git repositories, github, git actions/Jenkins, merge and release flows to streamline test and release.

Skills & Qualifications:

• BS/BE/B.Tech or MS/M.Tech in EE, ECE, CS or equivalent work experience
• 7-10+ years of industry experience
• 3-5 years of experience in Pre-silicon & Post Silicon ASIC hardware
• Good understanding of computer architecture and networking
• Excellent Coding in languages such as Python/Verilog/System Verilog and C
• Proficient in hardware/software codesign and layered architectures.
• Excellent debugging, analytical, and problem-solving skills
• Proficient in large scale testing and automation using pytest and python
• Good presentation skills to refine diverse information and put forth optimization strategies and results.
• Good interpersonal skills, ability & desire to work as a standout colleague
• Proven track record of working cross-functionally learning fast and driving issues to closure 

Preferred:

• Previous work in AI-ML with 100+ CPU core & communication fabric-based design.
• Familiarity with in-line testing and diagnostics using CPU memory and execution with self-checking.
• Knowledge of chip defect profiles and mitigation strategies across the hardware and software stack
• Familiarity in creating test and s/w infrastructure at large scale
• Working across global time zones 

Location:

Sunnyvale, California.

Bangalore, India

Toronto, Canada 

The base salary range for this position is $175,000 to $275,000 annually.  Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.

The Role:
In this exciting role, you will be responsible for bring up and optimizations of Cerebras’s Wafer Scale Engine (WSE). Suitable candidate will have experience delivering end to end solutions working closely with teams across chip design, system performance, software development and productization.

Responsibilities:

• On Wafer Scale Engines, develop and debug flows that embed well tested and deployable optimizations in production processes to reduce time and costs 
• Work on refining AI Systems across H/W-S/W design constraints such as di/dt, V-F characterization space, current and temperature limits in relation to optimizations for performance.
• Develop/Enhance infrastructure to enable silicon for real world workload testing
• Develop self-checking metrics, as well as instrumentation for debug and coverage
• Work with the silicon architects/designers, performance engineers and software engineers to enhance performance of Wafer Scale Engines.
• Work across domains such as, Software, Design, Verification, Emulation & Validation to refine and optimize performance and process.
• Work with CI/CD tools, git repositories, github, git actions/Jenkins, merge and release flows to streamline test and release.

Skills & Qualifications:

• BS/BE/B.Tech or MS/M.Tech in EE, ECE, CS or equivalent work experience
• 7-10+ years of industry experience
• 3-5 years of experience in Pre-silicon & Post Silicon ASIC hardware
• Good understanding of computer architecture and networking
• Excellent Coding in languages such as Python/Verilog/System Verilog and C
• Proficient in hardware/software codesign and layered architectures.
• Excellent debugging, analytical, and problem-solving skills
• Proficient in large scale testing and automation using pytest and python
• Good presentation skills to refine diverse information and put forth optimization strategies and results.
• Good interpersonal skills, ability & desire to work as a standout colleague
• Proven track record of working cross-functionally learning fast and driving issues to closure 

Preferred:

• Previous work in AI-ML with 100+ CPU core & communication fabric-based design.
• Familiarity with in-line testing and diagnostics using CPU memory and execution with self-checking.
• Knowledge of chip defect profiles and mitigation strategies across the hardware and software stack
• Familiarity in creating test and s/w infrastructure at large scale
• Working across global time zones 

Location:
Bangalore, India

Toronto, Canada

Sunnyvale, California.

For Sunnyvale: The base salary range for this position is $175,000 to $275,000 annually.  Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.

About the Role 

We are building a high-performance SRE function to support one of the world’s fastest-growing AI inference services, powered by the Wafer-Scale Engine (WSE), helping deliver infrastructure for frontier-class models from leading model builders such as OpenAI. 

This role offers immediate ownership of real production systems at a growing scale, direct mentorship from seasoned engineers, and close collaboration with incoming Staff SREs who will focus on long-term automation. After ~1 month of shared hands-on operations with the Staff engineers, you’ll primarily operate the current setup, bring up new capacity in high-stakes environments and help bring new continuous delivery pipelines into production use. 

If you thrive in high-ownership SRE roles at scale and want to help shape a team from the ground up in cutting-edge AI Inference infrastructure, this is your chance. 

This role does not require 24/7 on-call rotations. 

Key Responsibilities 

• Remain hands-on with operational execution (releases, capacity changes, cluster upgrades) over the next year as we build robust continuous delivery pipelines and self-service capabilities 

• Contribute to the development of self-service CD pipelines for key workflows using our stack: Kubernetes, Bazel, Prometheus/Grafana/InfluxDB, Python, and Go. 

• Build reusable automation and internal developer tools that minimize operational toil and cross-team friction 

• Develop and extend telemetry, observability and alerting solutions to ensure operational reliability at scale 

• Collaborate with Cluster Ops and development teams to identify high-impact automation opportunities and iterate quickly 

• Contribute to reliability practices (SLOs, post-mortems, capacity planning) 

Required Experience & Skills 

• 2-4+ years in SRE with a strong operations or automation focus 

• Production Kubernetes experience 

• Solid Python or Go for building tools and automation 

• Proficiency with Prometheus, Grafana, and observability-driven workflows 

• Ability to measure and communicate impact – reliability metrics, operational toil, velocity gains 

Nice-to-Have 

• Hands-on GitOps expertise, Argo CD / Flux or equivalent, is a plus 

• Experience with building continuous delivery pipelines is a strong plus 

• Experience with Bazel or similar build systems is a strong plus. 

• Familiarity with capacity planning, on-prem or multi-datacenter environments 

Location   

• SF Bay Area 

• Toronto 

About The Role

We're looking for a deeply technical, hands-on software engineer to join our on-field Kernel Reliability team. You'll help tackle a critical challenge: improving the reliability of our advanced compute clusters and the underlying inference, training, and internal production services. In this role, you'll work close to the code and design solutions that will scale with our rapidly growing system production and software service offerings. If you have strong fundamentals in systems, debugging, and failure analysis—and enjoy building tools and solving hard reliability problems—we want to hear from you. New college graduates are welcome.

Responsibilities

• Contribute to the technical roadmap and execution for kernel-centric reliability of our internal and customer-facing systems.
• Partner with System and Cluster Operations teams to reduce system and service downtime after failure through tooling, analysis, and hands-on debugging support.
• Work with the Debug Team to enhance debug tools with the goal of speeding up failure analysis.
• Collaborate with software teams to improve the software stack—including kernels—to improve on-field debugging and failure analysis.
• Work with ASIC and hardware architecture teams to co-design next-generation architectures with reliability and ease of debug in mind.
• Participate in incident response, root-cause analysis, and post-mortems; drive follow-ups that measurably improve reliability over time.

Skills & Qualifications

• We recognize great engineers come from different backgrounds. If you're excited about the role, we encourage you to apply even if you don't meet every qualification.
• Required (or demonstrated through projects/internships/coursework):
  • Strong programming skills in C/C++ and Python.
  • Solid foundations in operating systems, computer architecture, and systems programming fundamentals.
  • Ability to debug complex issues using logs, traces, and standard debugging workflows; interest in root-cause analysis.

Nice to have:

• Exposure to parallel and distributed programming (message passing, multicore, GPU, embedded, etc.).
• Experience building or using debug/diagnostic tools (debuggers, core dump handling, tracing, sanitizers, profilers, etc.).
• Familiarity with debugging distributed and parallel applications (deadlocks, livelocks, race conditions, etc.).
• Knowledge of computer architecture concepts (instruction pipelining, multithreading, networking, memory systems, etc.).
• Operations & Monitoring: familiarity with monitoring, incident response, and post-mortem culture.

About The Role

The Inference ML Engineering team at Cerebras Systems is dedicated to enabling our fast generative inference solution through simple APIs powered by a distributed runtime that runs on large clusters of our own hardware. Our mission is to empower enterprises, developers, and researchers to unlock the full potential of our platform, leveraging its performance, scalability, and flexibility. The team works closely with cross-functional groups, including compiler developers, cluster orchestrators, ML scientists, cloud architects, and product teams, to deliver high-impact solutions that redefine the boundaries of ML performance and usability.

As a Senior Software Engineer on the Inference ML Engineering team, you will play a key role in designing and implementing APIs, ML features, and tools that enable running state-of-the-art generative AI models on our custom hardware. You will architect solutions that enable seamless model translation and execution, ensuring high throughput and low latency, while maintaining ease of use. Your responsibilities will include leading technical initiatives, collaborating with other engineering teams to enhance the developer experience, enabling key ML features at scale, maintaining our speed advantage, achieving high throughput, and supporting a wide range of ML workloads. This role offers an opportunity to shape the evolution of our ML ecosystem while tackling complex technical challenges at the intersection of machine learning, software, and hardware.

Responsibilities

• Drive and provide technical guidance to a team of software engineers working on complex machine learning integration projects.
• Design and implement ML features (e.g., structured outputs, biased sampling, predicted outputs) that improve performance of generative AI models at inference time.
• Design and implement high-throughput, low-latency multimodal inference models that support delivery of image, audio, and video inputs and outputs.
• Maintain our scalable serving backend for handling many concurrent requests per minute.
• Scale our inference service by implementing detailed observability throughout the entire stack.
• Analyze and improve latency, throughput, memory usage, and compute efficiency on the service and the implementation of various features.
• Optimize software to accelerate generative LLM inference by achieving high throughput and low latency.
• Stay up-to-date with advancements in machine learning and deep learning, and apply state-of-the-art techniques to enhance our solutions.
• Evaluate trade-offs between different approaches, clearly articulate design choices, and develop detailed proposals for implementing new features.
• Uncover, scope, and prioritize significant areas of technical debt across the software stack to ensure continued high quality of the inference service.
• Build and maintain robust automated test suites to ensure software quality, performance, and reliability.
• Contribute to an agile team environment by delivering high-quality software and adhering to agile development practices.
• Lead cross-functional initiative across the company to deliver high-quality inference solutions.

Skills and Qualifications

• Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Mathematics, or a related field.
• 8+ years of experience in large-scale software engineering, with a focus on deep learning or related domains.
• Proficiency in Python for building and maintaining scalable systems.
• Advanced proficiency in C++, with an emphasis on multi-threaded programming, performance optimization, and system-level development.
• Demonstrated experience driving cross-functional projects.
• Experience building and scaling large-scale inference systems for LLMs or multimodal models.
• Familiarity with LLM serving frameworks, such as vLLM, SGLang, and TensorRT-LLM.
• Solid understanding of software architectural patterns for large-scale, high-performance applications.
• Hands-on experience with ML frameworks, such as PyTorch, and a strong understanding of their underlying architectures.
• Strong problem-solving skills, with the ability to balance technical depth with practical implementation constraints.
• Exceptional communication and presentation skills, with the ability to work both independently and collaboratively across multidisciplinary teams.

About the Role 

We are building a high-performance SRE function to support one of the world’s fastest-growing AI inference services, powered by the Wafer-Scale Engine (WSE). This team will help deliver world-class, ultra-reliable inference infrastructure for leading model builders such as OpenAI and other frontier labs. 

As a Staff SRE, you will lead the engineering effort to eliminate toil at scale by driving implementation of self-service delivery pipelines, shared observability common tooling. This role starts with ~1 month of hands-on operational immersion to gain deep familiarity with our current stack, production pain points, and high-stakes workflows.  

From there, your primary focus shifts to architecting and delivering the "tomorrow" layer: declarative GitOps-driven CD for model releases, capacity provisioning and cluster upgrades. Success over the first year in this role will be defined by enabling core teams, product managers, external customers, and cluster stakeholders to operate in a fully self-service model with strong reliability guarantees. 

You will partner with our early-career SRE sub-team, who own day-to-day operations. This will allow you to deeply understand their pain points, automate their toil, and mentor them as platform engineers.  

You will collaborate with the tech leads and the leadership team across core, cluster, cloud, and product stakeholders. This work will shift reliability from an ops-only burden to a shared engineering discipline that underpins frontier AI inference at scale. 

If you are a proven Staff+ engineer who enjoys turning complexity into elegant reliability at scale, this is your chance to lead this transformation from the front. 

This role does not require 24/7 on-call rotations. 

Key Responsibilities 

• Define and implement a robust strategy for delivering and running software reliably and at scale across multiple datacenters and cloud-based solutions. 

• Architect self-service platforms and internal tooling that let product teams, external customers, and cluster operators safely trigger and observe critical workflows with minimal handoffs.  

• Define and evolve reliability practices for inference workloads, including SLOs and SLIs for latency, throughput, and accuracy stability; error budgets; blameless postmortems; chaos testing; and capacity forecasting across multi-datacenter and on-prem environments.  

• Mentor mid-level SREs, support critical incident escalations, and use production pain points to prioritize the highest-leverage automation work.  

• Measure and drive impact through clear metrics, including toil reduction, deployment velocity, SLO compliance, MTTR, and adoption of self-service workflows. 

Required Experience & Skills 

• 8+ years in SRE, infrastructure engineering, or platform engineering, with a strong record of improving automation and reliability at large scale in FAANG, hyperscaler, or similarly demanding environments.  

• Deep expertise operating large scale heterogenous clusters with a proprietary cloud control plane 

• Proven track record designing and delivering CI/CD or GitOps systems using Argo CD or similar tools, with strong safety and observability built in.  

• Hands-on experience with observability systems such as Loki, Tempo, Mimir, and Prometheus  

• Ability to lead complex projects end to end, influence cross-functional stakeholders, and communicate technical direction clearly. 

Nice-to-Haves 

• Experience with Bazel or other large-scale build systems in production.  

• Background in AI/ML inference systems, including model serving runtimes, GPU or wafer-scale orchestration, latency and accuracy SLOs, or drift monitoring.  

• Prior work on predictive autoscaling, chaos engineering, or cost-aware capacity planning for compute-intensive workloads.  

Location   

• SF Bay Area 

• Toronto 

Location: Sunnyvale 

We're hiring a Staff Engineer to own major areas of the architecture of our Inference Cloud Platform. This team owns the cloud layer behind our Inference Service, with responsibility for availability, latency, reliability, and global scale. 

This is a hands on IC role for an engineer who wants to work on the hardest distributed systems problems in the stack: multi-region traffic architecture, graceful degradation under bursty AI workloads, performance at high QPS, and the operating model for a platform that has to stay fast and available under load. You'll write code, lead key architectural decisions in your domain, debug production issues, and help shape technical direction across adjacent teams. 

If you're interested in building the next-generation architecture of a globally distributed inference platform, we'd like to talk. 

Responsibilities 

• Platform Direction. Help shape the technical direction for the Inference Cloud Platform, including multi-region topology, failure domains, service boundaries, and system evolution over time, and own the roadmap for major technical areas. 

• Core Cloud Systems. Design and build critical platform components such as service discovery, request routing, load balancing, caching, batching, and traffic management for AI inference workloads. 

• Reliability & Performance. Architect active-active systems with rapid failover, graceful degradation, and clear SLOs. Drive system-level improvements in latency, throughput, capacity efficiency, and resilience under unpredictable demand. 

• Traffic Control & Service Tiers. Define platform mechanisms for admission control, quota management, rate limiting, and differentiated quality of service across workload types and customer tiers. 

• Execution on Critical Paths. Write and review production code in the most important parts of the platform. Make high-consequence architectural decisions within your area and set the technical bar through design reviews, code reviews, and sound engineering judgment. 

• Production Leadership. Lead on the hardest production issues and cross-system bottlenecks. Drive observability, incident response, capacity planning, and post-incident improvement with a high standard for operational rigor.  

• Technical Influence. Partner with ML, Product, Infrastructure, and Platform teams to translate product and business requirements into scalable system designs, and drive alignment on shared technical decisions within your domain and adjacent platform surfaces. 

• Mentorship. Raise the effectiveness of senior engineers through design feedback, pairing, and clear technical standards. 

Skills & Qualifications 

• 8+ years of experience in software engineering, with substantial individual contributor experience building and operating large-scale distributed systems or cloud infrastructure. 

• Deep expertise in distributed systems architecture in cloud environments, including networking, compute orchestration, container platforms, and multi-region production services. 

• Strong track record of making sound architectural decisions for highly available, latency-sensitive systems at scale. 

• Experience optimizing latency, throughput, and efficiency in high-QPS systems. Experience with TTFT and tail-latency reduction is a strong plus. 

• Strong proficiency in backend or systems languages such as Go, C++, or Python, with the expectation that you can contribute production code directly. 

• Experience designing observability and reliability practices, including metrics, logging, tracing, alerting, incident response, and SLO-driven operations. 

• Ability to influence senior engineers and cross-functional partners through technical credibility, communication, and judgment, especially within your domain and adjacent systems. 

• Experience with ML inference infrastructure, model serving systems, or GPU-accelerated workloads is a plus. 

About The Team 

Cerebras builds wafer-scale AI processors—single chips delivering tens of PB/s of memory bandwidth and a dataflow architecture that accelerates at a granularity no multi-device system can match. The Advanced Technology Group (ATG) is Cerebras’ pathfinding organization. We work ahead of product to explore new architectures, demonstrate breakthrough performance on scientific and AI workloads, and shape the technical roadmap for future Cerebras hardware and software. Our work regularly appears at top-tier venues (Supercomputing, SIAM, IEEE, and NeurIPS) and directly influences the design of next-generation wafer-scale systems. 

About The Role 

We are seeking R&D Engineers to join Cerebras' Advanced Technology Group. You will design and implement workloads that establish new performance benchmarks on wafer-scale hardware, leveraging architectural features that no traditional platform offers. The 
scope ranges from large-scale scientific simulations to emerging AI/ML models, and the work sits at the intersection of algorithm design, compiler co-optimization, and hardware architecture. You will collaborate closely with Cerebras’ ASIC, compiler, kernel, and AI teams as well as external partners at universities and national laboratories. 

What You Will Do 

• Design and implement challenging scientific computing and AI workloads on Cerebras’ Wafer-Scale Engine, targeting performance results that advance the state of the art. 
• Lead algorithm–hardware co-design efforts with internal R&D teams and external research partners, turning architectural capabilities into measurable application-level advantages. 
• Build analytical performance models that quantify bottlenecks, guide optimization, and inform future chip and compiler design decisions. 
• Contribute to Cerebras’ multi-year technology roadmap by identifying high-impact workloads, proposing architectural experiments, and validating them on silicon. 
• Publish findings and present at top-tier conferences and journals; represent Cerebras in the broader HPC and AI research communities. 

What We Are Looking For 

• PhD in Computer Science, Engineering, Applied Mathematics, Physics, or a related quantitative field preferred. Exceptional candidates without a graduate degree who demonstrate equivalent depth through published research, significant open-source contributions, or a strong industry track record are encouraged to apply. 
• Deep experience in at least one of the following: computer architecture and accelerator design; parallel, distributed, or high-performance computing; numerical methods and scientific simulation; AI/ML theory and model design at a mathematical level. 
• Strong ability to analytically model and optimize the performance of complex systems and algorithms. 
• Track record of published research or patents in relevant venues. 
• Proficiency in C and Python; comfort working close to hardware. 
• Excellent communication and interpersonal skills: able to present complex technical material to both specialist and cross-functional audiences, and to collaborate effectively in a fast-paced, small-team environment. 

Areas Of Particular Interest 

We are hiring across several focus areas. Exceptional depth in one or more of the following is a strong signal: 

• Computational science: researchers who can bring insights from numerical methods and simulation into AI, or couple simulation and learning into joint computational workflows. Depth in hydrodynamics, solid mechanics, electromagnetics, molecular dynamics, or related PDE-based fields. 
• AI/ML foundations: deep understanding of model architecture, optimization methods, and their statistical underpinnings—the ability to design from first principles, not just apply established recipes. 
• Computer architecture: microarchitecture design, computing paradigms at the circuit and datapath level, memory hierarchy design. 
• Performance engineering: roofline modeling, bandwidth analysis, kernel optimization, communication-computation overlap, and compiler-level tuning for novel hardware. 

Why This Opportunity Is Exciting And Unique 

• Build on a fundamentally different architecture, unconstrained by GPU assumptions. 
• Publish and open-source your research. We present at Supercomputing, SIAM, IEEE, NeurIPS, and beyond. 
• Work on the fastest AI system in the world, with direct access to the hardware your compiler targets. 
• Join at a pivotal moment: Cerebras is pre-IPO with strong commercial traction and rapid growth. 
• Be part of a small, technical team with high autonomy, minimal bureaucracy, and a culture that values depth over hierarchy. 

We are hiring for multiple positions across experience levels. If this work resonates, we encourage you to apply.