At Tenstorrent, interns don’t just write code—they help shape the future of AI compute. As a Software Compiler Intern, you’ll work with a dedicated mentor and collaborate across software, firmware, hardware, and systems teams. This is a rare chance to work on performance-critical code and gain experience across the full AI stack.

This role is on-site based in Toronto, Canada.

Who You Are

• Pursuing (or recently completed) a degree in EE, CE, CS, or a related field.
• Solid foundation in C/C++ and algorithms; Python skills are a bonus.
• Curious about compilers, ML, parallel systems, or processor architecture.
• Problem-solver who enjoys working across abstraction layers

What We Need

• Contribute to the development of Tenstorrent’s ML graph compiler.
• Benchmark and optimize key ML workloads across hardware/software.
• Build performance analysis tools to inform compiler and runtime design.
• Collaborate with ML and systems teams to co-design across the stack.

What You Will Learn

• Compiler design for machine learning models and workloads.
• End-to-end co-design of software and cutting-edge AI hardware.
• Performance tuning and analysis in a high-performance runtime.
• Real-world ML integration with frameworks and low-level systems.

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.

We are looking for a Staff Digital Design Engineer to help define, build, and optimize high-performance IP and SoC architectures for next-gen AI and compute workloads. This role is ideal for engineers who thrive at the intersection of microarchitecture, RTL implementation, and performance-aware design.

This role is hybrid, based out of Toronto, Ottawa, Boston, or Austin. 

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• A digital design expert with a deep understanding of computer architecture and IP microarchitecture.
• Skilled in RTL development (Verilog/VHDL) and familiar with full ASIC flows.
• Comfortable optimizing for power, performance, and area (PPA) under aggressive design goals.
• A naturally collaborative and technical engineer — you thrive in spec definition, peer reviews, and team-wide planning.

What We Need

• Architecture and RTL implementation of Tenstorrent’s custom IP blocks and SoC components.
• Performance-aware design decisions for compute, interconnect, or memory-heavy blocks.
• Occasional contributions to validation using emulation, FPGA prototyping, or UVM flows.
• Strong synthesis and timing closure awareness to support backend teams.
• Prior experience in on-chip fabric and interconnect designs is an asset.

What You Will Learn

• How cutting-edge AI chips are built, from spec to silicon.
• What it takes to collaborate with teams designing novel processor and memory architectures.
• How to blend custom logic with standard SoC elements for power and scale.
• How cross-functional workflows come together across design, DV, physical, and firmware teams.

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

Join our innovative team as a Director, Systems & Solutions where you'll play a pivotal role in deploying and optimizing cutting-edge computer systems and AI hardware. If you have a passion for hardware technologies, including accelerators, CPUs, GPUs, and thrive in a dynamic, hands-on technical environment, we would love to hear from you. In this role you will be leading a team and helping us scale our customer base.

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

• A hands-on manager with a deep understanding of computer systems and AI hardware, driven by curiosity and a passion for performance.
• You’re comfortable getting into the technical details - from CPU and GPU architecture to firmware and drivers and thrive in dynamic, hands-on environments.
• You excel at problem solving and enjoy working directly with customers to implement and optimize advanced computing solutions.
• You communicate clearly, collaborate effectively across teams, and take pride in delivering reliable, high-quality systems.
• You’re motivated by impact - eager to see your work come to life in the next generation of AI and high-performance compute deployments.

What We Need

• Strong experience with computer hardware and system architecture, including CPUs, GPUs, FPGAs, and AI accelerators.
• Deep understanding of Linux operating systems, with experience in configuration, performance optimization, and administration.
• Proficiency in system software, including drivers, firmware, and related hardware-level tools.
• Working knowledge of electrical systems, including wiring, cabling, and thermal management.
• The ability to travel up to 50% of the time both domestically and internationally. 

What You Will Learn

• How to deploy, validate, and optimize AI compute systems at scale across diverse customer environments.
• End-to-end exposure to hardware-software integration, from firmware and drivers to full system bring-up.
• Hands-on experience with accelerator-based architectures and cutting-edge hardware design.
• Collaboration with world-class engineering teams building open, high-performance systems based on RISC-V and modular chiplet architectures.
• The opportunity to directly shape how customers adopt and scale next-generation AI and HPC hardware, helping push the boundaries of performance and efficiency.
  
  

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.

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.

We are looking for an ASIC Design Methodology Engineer to advance our design infrastructure and flows across RTL development, verification, and physical implementation. This role is ideal for engineers who thrive on improving design quality, enabling scalability, and automating methodologies that accelerate silicon success.

This role is hybrid, based out of Toronto, Ottawa, Austin, or Boston.

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 strong advocate for design quality and productivity, with expertise in ASIC design flows.
• Skilled in RTL design and familiar with static and dynamic analysis tools.
• Comfortable automating design checks and improving methodology for scalability and reuse.
• A collaborative engineer who partners effectively across RTL, verification, and backend teams.

What We Need

• Develop and maintain ASIC design methodologies and infrastructure for RTL development and integration.
• Own and evolve static code analysis (Lint, CDC, RDC, DFT) and RTL-netlist logic equivalency design methodologies
• Develop synthesis timing constraints (SDC) and low power design specifications (UPF)
• Support RTL-to-GDS flow enablement, ensuring clean handoffs and sign-off readiness.
• Collaborate with EDA vendors and internal tool owners to optimize performance, quality, and runtime.

What You Will Learn

• How large-scale AI SoCs are architected, integrated, and brought to silicon.
• How methodology choices directly impact design performance, power, and verification closure.
• How to build and scale ASIC design flows supporting cutting-edge compute architectures.
• How to integrate cross-functional workflows across design, DFT, DV, physical, and firmware 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.

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.

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

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Scientist Intern who can help us discover the value out of our rich and large datasets. Our ideal team member will have the mathematical and statistical expertise you’d expect, but a natural curiosity and creative mind that’s not so easy to find. As you mine, interpret and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—all with the ultimate goal of realizing the data’s full potential. You will join a team of data specialists, but will “slice and dice” data using your own methods, creating new visions for the future. If you love technology and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a Data Scientist Intern, you will be a crucial part of producing innovative analytics from Geotab’s big data environment. We believe that there is collective value in the massive amount of data arising from all of our sensors across the globe. And most importantly, we believe this data can be used to improve safety, infrastructure, and productivity for our customers. You will work with our team of data scientists and engineers who have curated our data repository and have created a series of near real-time and historical datasets. You will leverage data mining techniques, Machine Learning, Deep Learning, Neural Networks and other Artificial Intelligence and statistical analysis tools to build models and high-quality prediction systems to help our customers make informed and smarter decisions. You will work closely with Data Analysts, Data Engineers, Professional Services, Data Privacy & Governance, firmware as well as other internal departments such as Software Development and Solutions Engineering to achieve these objectives.

The opportunity:

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

How you'll make an impact:

• The primary objective of this internship is to develop a "Reasoning & Automation" solution that evolves Geotab Ace into a fully integrated, context-aware assistant. Key goals include:
  • Multi-Modal Ingestion: Implement a multi-modal ingestion layer (leveraging technologies like Google's LiveAPI) capable of processing screen content, audio, and text simultaneously to establish real-time user context.
  • Contextual Enrichment: Develop mechanisms to automatically enrich user prompts with environmental state (e.g., current page URL, visible data charts), eliminating the need for users to manually explain their context.
  • Proactive Assistance & Navigation: Extend the reasoning capabilities of the agent to not only answer data queries but also guide users through complex workflows ("Where do I go to...") and offer proactive support.
  • Optimization of RAG & SQL Generation: Continue to refine the underlying RAG architecture and "text-to-SQL" generation for Google BigQuery to ensure the answers provided are accurate, safe, and efficient.

What you'll bring to the role:

Who you are:

Geotab is seeking a Senior Product Manager, GO App (Embedded Core) who will own the product strategy and roadmap for Geotab’s core embedded hardware and firmware platform — the GO device. This role is responsible for driving the evolution of the GO device product line, including next-generation hardware development, firmware feature planning, connectivity technologies (cellular, satellite, BLE), sensor integration, and power management optimization. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a Senior Product Manager, GO App (Embedded Core) your key area of responsibility will be to truly understand the infrastructure needed to support the growth of existing and new revenue streams within Geotab, the associated market, and how customers can benefit from telematics solutions to improve their business. You will lead complex problem and solution validation, ensuring strategic alignment and providing direction on critical solutions. You will need to work closely with hardware engineering, embedded software, technical project managers, and cloud teams to define what the GO device becomes next.To be successful in this role you will be a self-starter and resourceful team player with strong written and verbal communication skills, and have the ability to engage with all levels of the organization. In addition, the successful candidate will have strong analytical and problem-solving skills with a strategic mindset and a keen sense of priorities, along with an ability to pivot as the landscape changes.

How you'll make an impact:

• Own the development of a comprehensive product roadmap, ensuring alignment across internal stakeholders while driving the execution of strategic initiatives that support long-term business objectives.

• Lead high-impact customer discovery initiatives and mentor other team members in conducting interviews to refine value propositions and product fit.

• Drive prioritization at a portfolio level, aligning efforts with overall business and product strategy.

• Establish advanced reporting and monitoring frameworks that measure success (both qualitative and quantitative) across multiple product dimensions.

• Design and implement feedback loops at scale, ensuring continuous alignment with market needs.

• Ensure company-wide understanding of product efforts, regularly communicating the Why at senior leadership forums and cross-departmental meetings.

• Lead complex problem and solution validation, ensuring strategic alignment and providing direction on critical solutions.

• Oversee the translation of needs into detailed epics and initiatives, ensuring alignment with overall product strategy.

• Lead efforts to enhance product management frameworks, mentoring other product managers and contributing to company-wide initiatives.

What you'll bring to the role:

Why job seekers choose Geotab:

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Product Manager who will lead fuel resource management solutions, which are critical for reducing operational costs for our fleets. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a Product Manager, your key area of responsibility will be managing the end-to-end user experience for Optimization and Efficiency Solutions, specifically focusing on Fuel Transactions, Fill-ups, and IFTA reporting. You will need to work closely with Product Marketing, Solutions Delivery, Software and Embedded Development, and Data Science teams to solution and advocate for resources. To be successful in this role, you will be a strategic self-starter with empathy for customer pain points and the ability to grasp complex technical concepts quickly. In addition, the successful candidate will have strong analytical skills to conduct product discovery, leverage data for story building, and manage projects from start to finish within the technical product development space.

How you'll make an impact:

• Product research / discovery with customers, leverage internal folks' for product feedback and access to customers.

• Deep technical, market, policy understanding for fleet operations, especially around fuel tax, EV charging, and general energy resource optimization (reduction) strategies.

• Responsible for improving the user experience on: Fuel Transactions, Fill-ups, IFTA Reporting, and Driver Logbook Suite.

• Work with Product Marketing, Solutions Delivery, and all adjacent technical teams from start to finish.

• Advocate for resources and prioritization when needed to deliver customer and business needs.

• Leverage research and existing product architecture to solution along with Data Science, Software, Firmware, etc. 

• Maintain existing product suite and adopt customer feedback.

What you'll bring to the role:

• 3-5 years of professional experience in technical product development, stakeholder management, or enterprise sales.

• Experience in Product Management, Project Management, or Software Development is highly valued. 

• Proficiency in AI tools (Claude, Gemini, Codex) for data exploration, story building, and code development. 

• Technical proficiency in Jira, Salesforce, and Google Suite; experience with BigQuery and GitLab is an asset. 

• Familiarity with IoT, SaaS, or Telematics industries (Automotive, Trucking, OEM, or Telco) is a plus. 

• Ability to travel up to 25% of the time (approximately 6 weeks per year). 

• Bachelor’s degree in a related field or equivalent professional experience.

Why job seekers choose Geotab:

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Product Manager, Theft Solutions who will drive the strategic direction and execution of Geotab's expansion into theft awareness, detection, and recovery solutions. The projects will vary in scope, complexity, and affected business area. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a Senior Product Manager, Theft Solutions, your key area of responsibility will be identifying and scaling end-to-end products that leverage Geotab's telematics platform, real-time data insights, and predictive analytics to prevent vehicle and asset theft, enable rapid recovery, and reduce insurance costs. You will need to work closely with hardware engineering, software development, data science, commercial teams, and external partners.

To be successful in this role you will be an entrepreneurial self-starter with a tolerance for ambiguity and the ability to iterate rapidly based on customer feedback. In addition, the successful candidate will have strong analytical and project management skills with an ability to translate complex telematics insights into compelling customer value and manage multiple timelines to ensure timely results.

How you'll make an impact:

• Market Discovery & Customer Insights: Conduct comprehensive customer discovery to understand theft vulnerabilities, recovery workflows, and decision criteria across fleet segments (commercial, rental, asset tracking, logistics). Uncover latent needs and willingness to pay for prevention and recovery solutions. Research competing theft prevention and recovery platforms.
• Product Strategy & Positioning: Define the theft solutions product strategy, including feature set, pricing model and market segmentation. Position Geotab as the preferred telematics platform for theft prevention and recovery.
• Feature & Requirement Definition: Translate customer needs into detailed product requirements. Partner with data science to define theft detection algorithms (behavioral anomaly detection, location pattern analysis, risk scoring). Establish monitoring and observability to measure solution efficacy and refine models post-launch.
• Roadmap Management: Own the theft solutions product roadmap, aligning hardware, firmware, cloud, mobile, and business intelligence teams on phased delivery. Identify partnership opportunities to integrate Geotab insights into existing workflows.
• Execution & Delivery: Drive end-to-end product delivery from requirements to launch, managing dependencies, priorities, and release readiness. Track market performance post-launch, including adoption, retention, and revenue contribution, using data to accelerate iteration and close gaps between roadmap intent and customer outcomes.

What you'll bring to the role:

Why job seekers choose Geotab:

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Product Manager, Theft Solutions who will drive the strategic direction and execution of Geotab's expansion into theft awareness, detection, and recovery solutions. The projects will vary in scope, complexity, and affected business area. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a Senior Product Manager, Theft Solutions, your key area of responsibility will be identifying and scaling end-to-end products that leverage Geotab's telematics platform, real-time data insights, and predictive analytics to prevent vehicle and asset theft, enable rapid recovery, and reduce insurance costs. You will need to work closely with hardware engineering, software development, data science, commercial teams, and external partners.

To be successful in this role you will be an entrepreneurial self-starter with a tolerance for ambiguity and the ability to iterate rapidly based on customer feedback. In addition, the successful candidate will have strong analytical and project management skills with an ability to translate complex telematics insights into compelling customer value and manage multiple timelines to ensure timely results.

How you'll make an impact:

• Market Discovery & Customer Insights: Conduct comprehensive customer discovery to understand theft vulnerabilities, recovery workflows, and decision criteria across fleet segments (commercial, rental, asset tracking, logistics). Uncover latent needs and willingness to pay for prevention and recovery solutions. Research competing theft prevention and recovery platforms.
• Product Strategy & Positioning: Define the theft solutions product strategy, including feature set, pricing model and market segmentation. Position Geotab as the preferred telematics platform for theft prevention and recovery.
• Feature & Requirement Definition: Translate customer needs into detailed product requirements. Partner with data science to define theft detection algorithms (behavioral anomaly detection, location pattern analysis, risk scoring). Establish monitoring and observability to measure solution efficacy and refine models post-launch.
• Roadmap Management: Own the theft solutions product roadmap, aligning hardware, firmware, cloud, mobile, and business intelligence teams on phased delivery. Identify partnership opportunities to integrate Geotab insights into existing workflows.
• Execution & Delivery: Drive end-to-end product delivery from requirements to launch, managing dependencies, priorities, and release readiness. Track market performance post-launch, including adoption, retention, and revenue contribution, using data to accelerate iteration and close gaps between roadmap intent and customer outcomes.

What you'll bring to the role:

Why job seekers choose Geotab:

We are hiring a Photonics Technical Lead to join our laser development team. In this role, you will develop integrated and highly scalable laser solutions for silicon photonics AI communications and computation. You will work closely with cross-disciplinary engineering teams both internally and across our ecosystem of manufacturing partners to assess the technical feasibility of product requirements, develop an engineering plan to meet architectural specifications, execute new product designs for laser solutions, and validate system performance on hardware.

This role requires a deep understanding of complex multi-domain platforms as well as integrated silicon photonics and the requirements of datacom systems. You will navigate the design space of performance, schedule, reliability, power consumption, and cost, working in tandem with stakeholders across the company to identify optimal and innovative engineering solutions. Creativity, analytical skills, and clear communication skills are a necessity. 

Join a tight-knit team where each individual’s contributions directly influence the success of the company and product. You'll have the opportunity to build innovative laser solutions from the ground up and tackle groundbreaking challenges. Work with people who love to build and who thrive in diverse technical environments where great ideas are prioritized.

Responsibilities

• Engage with a cross-functional team to design and deliver a successful high-volume laser product
• Collaborate with product and architecture teams to drive new laser concepts
• Work closely with hardware and software teams to translate high level laser module product requirements and architecture specifications into a detailed engineering execution plan
• Engage in problem-solving to resolve design and manufacturing challenges for innovative high-performance laser solutions
• Actively collaborate across disciplines—with electronics, photonics, mechanical, thermal and package-design engineering teams—to build laser systems, control algorithms, PICs, and control ASICs that meet performance, power, and production requirements
• Collaborate with control-system and test engineers to define production test and validation protocols, as well as to characterize components and debug test results from prototype level to validation
• Work with external vendors to ensure timely development and delivery of key processes and components

Requirements:

• A Ph.D. in Photonics, Electrical Engineering, Applied Physics, or a related discipline, with at least 3 years of relevant post-degree experience (or equivalent).
• A minimum of 8 years of experience in photonic devices, photonic integrated circuits, and semiconductor physics.
• Strong understanding of silicon photonics
• Experience of closely collaborating with cross-functional engineering teams, like photonics design, packaging, thermal, system engineering and firmware to name a few.
• Ability to convey complex technical concepts to both technical and non-technical stakeholders with strong and clear communication
• Demonstrated strong problem solving skills specifically pertaining to problems that do not have obvious solutions

Preferred Qualifications:

• Strong understanding of laser physics
• Experience in lasers or silicon photonics for datacom applications
• Experience with control systems and system engineering
• Experience working in a high volume manufacturing environment
• Demonstrated technical leadership of a cross-functional team
• Willing and able to learn quickly, self-starter with a “no task is too big or small” attitude

We are hiring a Photonics Technical Lead to join our laser development team. In this role, you will develop integrated and highly scalable laser solutions for silicon photonics AI communications and computation. You will work closely with cross-disciplinary engineering teams both internally and across our ecosystem of manufacturing partners to assess the technical feasibility of product requirements, develop an engineering plan to meet architectural specifications, execute new product designs for laser solutions, and validate system performance on hardware.

This role requires a deep understanding of complex multi-domain platforms as well as integrated silicon photonics and the requirements of datacom systems. You will navigate the design space of performance, schedule, reliability, power consumption, and cost, working in tandem with stakeholders across the company to identify optimal and innovative engineering solutions. Creativity, analytical skills, and clear communication skills are a necessity. 

Join a tight-knit team where each individual’s contributions directly influence the success of the company and product. You'll have the opportunity to build innovative laser solutions from the ground up and tackle groundbreaking challenges. Work with people who love to build and who thrive in diverse technical environments where great ideas are prioritized.

Responsibilities

• Engage with a cross-functional team to design and deliver a successful high-volume laser product
• Collaborate with product and architecture teams to drive new laser concepts
• Work closely with hardware and software teams to translate high level laser module product requirements and architecture specifications into a detailed engineering execution plan
• Engage in problem-solving to resolve design and manufacturing challenges for innovative high-performance laser solutions
• Actively collaborate across disciplines—with electronics, photonics, mechanical, thermal and package-design engineering teams—to build laser systems, control algorithms, PICs, and control ASICs that meet performance, power, and production requirements
• Collaborate with control-system and test engineers to define production test and validation protocols, as well as to characterize components and debug test results from prototype level to validation
• Work with external vendors to ensure timely development and delivery of key processes and components

Requirements:

• A Ph.D. in Photonics, Electrical Engineering, Applied Physics, or a related discipline, with at least 3 years of relevant post-degree experience (or equivalent)
• A minimum of 8 years of experience in photonic devices, photonic integrated circuits, and semiconductor physics
• Strong understanding of silicon photonics
• Experience of closely collaborating with cross-functional engineering teams, like photonics design, packaging, thermal, system engineering and firmware to name a few
• Ability to convey complex technical concepts to both technical and non-technical stakeholders with strong and clear communication
• Demonstrated strong problem solving skills specifically pertaining to problems that do not have obvious solutions

Preferred Qualifications:

• Strong understanding of laser physics
• Experience in lasers or silicon photonics for datacom applications
• Experience with control systems and system engineering
• Experience working in a high volume manufacturing environment
• Demonstrated technical leadership of a cross-functional team
• Willing and able to learn quickly, self-starter with a “no task is too big or small” attitude

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 The Role

As a Compute / Server Platform Architect on the Cluster Architecture Team, you will own the server-side platform architecture that enables Cerebras CS3-based AI clusters (training and inference) to deliver predictable performance, scalability, and reliability. Our accelerators are network-attached, so the x86 server fleet is a first-class part of the end-to-end system: it runs critical-path runtime functions (for example orchestration, prompt caching, and IO/control services) and must be co-designed with software for token-level latency, throughput, and cost efficiency. You will translate workload behavior into CPU, memory, IO, PCIe, and host-networking requirements, drive platform evaluations with vendors, and provide technical leadership through qualification and production adoption in close partnership with other function leaders and TPMs.

Responsibilities

• Own the architecture for all server roles in Cerebras clusters, including definitions of server types, configurations, and lifecycle strategy.
• Define and maintain server formulas (counts and ratios per CS-3 count, cluster size, and workload type) including capacity planning and headroom policy.
• Specify platform configurations: CPU SKU and core strategy, our vendor roadmap (e.g., AMD, Intel, ARM), memory topology (channels, DIMM type, capacity), PCIe topology and lane budgeting, NIC selection/placement, and local NVMe policy where applicable.
• Translate software and runtime flows into measurable hardware requirements (CPU utilization, memory bandwidth/latency, bursty IO patterns, queueing and concurrency limits) and communicate clear guardrails back to software teams.
• Develop performance and scaling models; validate with microbenchmarks and workload-level experiments; identify bottlenecks and drive cross-stack fixes.
• Define the OS, BIOS, firmware, and driver baseline for each server type; there are other teams that follow these recommendations and apply them on our fleet.
• Stay current on emerging server technologies (CPU generations, new memory technologies, CXL, NVMe evolutions, SmartNIC/DPU capabilities where relevant) and run proof-of-concept evaluations to determine when to adopt.
• Lead technical vendor engagements (OEM/ODM and component vendors): influence roadmap, request platform knobs, and drive joint debugging on performance or reliability issues.
• Define qualification and acceptance criteria (performance, stability, operability) and partner with the Infrastructure Hardware TPM to execute qualification plans and land changes cleanly into production.
• Support bring-up and rare deployment debugging in lab and staging environments; drive root-cause analysis for regressions spanning firmware, drivers, OS, and runtime behavior.

Skills and Qualifications

• PhD. in Computer Science or Electrical/Computer Engineering and + 8 years industry experience, or Master’s/Bachelor’s in CS or EE + 10 years industry experience.
• 5+ years of experience in server platform architecture, systems performance engineering, or large-scale infrastructure design for AI/ML, HPC, or performance-sensitive distributed systems.
• Deep understanding of x86 server architecture: CPU microarchitecture basics, cache hierarchies, NUMA, memory controllers/channels, and memory bandwidth vs latency tradeoffs.
• Strong Linux systems knowledge: profiling and performance analysis, scheduling and syscall overheads, memory management behavior, and practical tuning methodology.
• Experience reasoning about high-performance IO paths, including NIC behavior at a systems level, RDMA/RoCE concepts, and NVMe performance characteristics.
• Proven ability to create capacity and performance models and validate them empirically with a rigorous benchmarking plan.
• Experience working directly with vendors/partners to evaluate platforms, drive issue resolution, and influence roadmaps.
• Strong cross-functional communication skills and ability to drive technical decisions through clear tradeoff documents and reviews.
• Familiarity with application and system software (C, C++, Python).

Responsibilities:

• Lead the design and implementation of system-level debugging, validation, and observability platforms.
• Develop automated systems for collecting and analyzing numerical, and execution anomalies.
• Create visualization and analysis tools to enable efficient root-cause investigation.
• Build frameworks for failure classification, regression detection, and anomaly monitoring.
• Extend compilers, runtimes, and programming interfaces to support advanced profiling and instrumentation.
• Improve system bring-up, low-level debug, and validation workflows.
• Partner cross-functionally with compiler, hardware, firmware, runtime, and infrastructure teams.
• Establish best practices for debuggability, reliability, and operational excellence.
• Lead high-impact initiatives.
• Support incident response and drive long-term corrective actions.

Qualifications: 

• Strong proficiency in C++ and Python, with a track record of building reliable, high-performance systems and tooling.
• Demonstrated experience debugging complex hardware/software systems and driving issues to root cause.
• Experience analyzing system-level data structures, execution graphs, or dependency networks for diagnostics and validation.
• Proven ability to design and build intuitive visualization and analysis tools for complex technical data.

• Experience with compiler internals, custom hardware interfaces, or low-level protocol design.

• Strong written and verbal communication skills, with the ability to explain technical concepts to diverse stakeholders.
• Ability to work independently and lead complex technical projects end-to-end.

Preferred Skills & Qualifications

• Familiarity with machine learning training and inference pipelines, especially distributed training and large-model scaling.
• Prior work on high-performance clusters, HPC systems, or custom hardware/software co-design.

As an Infrastructure Hardware Technical Program Manager (Server and Network Systems) on the Cluster Architecture Team, you will drive end-to-end delivery of server and network platform programs across Cerebras CS-3–based AI clusters — from requirements and vendor selection through lab bring-up, qualification, and production rollout. You will be the execution owner for multi-team programs spanning OEM/ODM partners, component vendors, internal software/runtime teams and architects, validation/QA, and deployment/operations.

This role is intentionally technical: you must understand server, network, and system-level trade-offs well enough to run effective technical reviews, keep programs grounded in real constraints, and maintain a crisp decision trail - while partnering closely with the Compute / Server / Network Platform Architects for detailed technical direction and sign-off. You will also build shared understanding with our rack/elevations and physical datacenter design partners so that server and network changes land smoothly in real deployments (without owning physical DC design).

Responsibilities

• Own end-to-end program execution for server systems and network equipment in Cerebras clusters, including new platforms, refreshes, and major component/config changes.
• Drive requirements gathering and convert inputs into executable plans with clear milestones, readiness gates, and cross-functional deliverables.
• Represent Cluster Architecture in executive reviews, OKR cycles, and leadership/customer forums as needed.
• Build and manage integrated schedules across vendors and internal teams, track dependencies, critical path, and risks.
• Manage OEM/ODM and switch/vendor engagements (RFI/RFP, samples, escalations, roadmap alignment).
• Partner with Compute / Server Platform / Network Architects to turn architectural decisions into qualification plans, acceptance criteria, and rollout strategies.
• Lead qualification and release readiness (lab/staging validation, regression tracking, go/no-go decisions).
• Own risk and change management into production, including versioning, rollout sequencing, and stakeholder communication.
• Ensure operational readiness with deployment and fleet teams and maintain alignment with rack/physical DC owners on power, cooling, space, and cabling constraints.

Skills and Qualifications

• B.S. or M.S. in Computer Science, Electrical/Computer Engineering, or equivalent experience.
• 8+ years in Technical Program Management (or similar delivery leadership) for server, network, or infrastructure platforms from concept through production.
• Experience coordinating complex server and/or datacenter network programs across OEM/ODMs, switch vendors, and internal engineering teams.
• Working knowledge of server architecture (CPU/NUMA, memory bandwidth, PCIe, NIC and storage IO) and enough networking fundamentals (leaf-spine fabrics, switch platforms, high-performance interconnects) to run effective technical reviews.
• Familiarity with Linux server fleet management (provisioning, firmware/BIOS, drivers, field triage).
• Strong multi-team program execution skills: integrated plans, risk management, dependency tracking, and executive-level communication.
• Ability to operate in ambiguity and keep parallel server and network workstreams aligned.
• Experience with AI/ML, HPC, or performance-sensitive distributed infrastructure is a plus.

Lightmatter builds chips that enable extreme-scale artificial intelligence computing clusters. If you're a collaborative engineer or scientist who has a passion for innovation, solving challenging technical problems, and doing impactful work like building the world's first optical computers, consider joining the team at Lightmatter!

We are hiring a Sr. Mixed-Signal Digital Architect. The selected candidate will partner with external facing teams at Lightmatter and the internal engineering team to deliver groundbreaking products to the market. As an architect, you will provide detailed technical documents that describe what needs to be built to the engineering team. This will require a solid understanding of process technology, state of the art in chip design, and clear communication skills. In this role, you will be defining the architecture of the digital circuits that enable a ground-breaking photonic-based communication fabric. Your work will not only enable the AMS/photonic devices at low-level but also enable the necessary interfaces with the firmware/software. You will interact directly with our vendors and our customers. You will also define the product and technological roadmaps along with suitable design and verification methodologies.

You will report directly to the Chief Scientist, but you will also work closely with our digital, analog, photonic, and software teams. We are particularly looking for someone with expertise in architecting digital circuits to enable high-speed AMS circuits, with a strong preference for someone with experience in photonic circuits.

Join a tight-knit team where each individual’s contributions directly influence the success of the company and product. You'll have the opportunity to build a new kind of computer from the ground up and to solve groundbreaking challenges along the way. Work with people who love to build and who thrive in technically diverse environments where great ideas are prioritized.

Responsibilities

• Be the digital architecture owner of Lightmatter’s Passage product. Work closely with the rest of the architecture team, chip-design team, and the software team.
• Responsible for the digital architecture from initial concept through high-volume production. Work closely with the technical program manager(s) to plan, organize, and execute.
• Architect and specify system level digital designs integrating complex AMS and photonic circuits. These circuits include stabilization circuits of AMS & photonic devices; line-rate DSP, FEC, CRC; and tuning & adaptation of analog front-end components.   
• Work closely with test and validation engineers to validate hardware against simulation prediction.
• Actively collaborate with the RTL and DV teams to enable block-level implementation and verification, respectively.
• Actively enable the firmware team to develop the recipe for hardware bringup and validation.
• Author, review, and validate architectural specifications. With the product and applications engineering teams, they also produce customer-facing product datasheets and reference designs.
• Identify possible improvements as well as possible pitfalls (including mitigation strategies) around executing the proposed architectures. 

Qualifications 

• 12+ years and a Masters’ degree in Electrical or Computer Engineering
• In-depth knowledge of power-efficient digital design flow for high-speed AMS electronics, preferably on photonic communication channels.
• In-depth knowledge of digital circuit design in a high-speed analog/photonic link, including device bring-up, control, and digital signal processing.
• Demonstrated strong problem solving skills specifically pertaining to problems that do not have obvious solutions.
• Demonstrated strong customer communication, with timely responses and consistently positive feedback

Preferred Qualifications

• Understanding of SerDes PCS layer and equalization along with forward error-correction schemes.
• Ability and desire to collaborate in a cross-disciplinary team: from hardware to software.

Lightmatter builds chips that enable extreme-scale artificial intelligence computing clusters. If you're a collaborative engineer or scientist who has a passion for innovation, solving challenging technical problems, and doing impactful work like building the world's first optical computers, consider joining the team at Lightmatter!

We are hiring a Sr. Mixed-Signal Digital Architect. The selected candidate will partner with external facing teams at Lightmatter and the internal engineering team to deliver groundbreaking products to the market. As an architect, you will provide detailed technical documents that describe what needs to be built to the engineering team. This will require a solid understanding of process technology, state of the art in chip design, and clear communication skills. In this role, you will be defining the architecture of the digital circuits that enable a ground-breaking photonic-based communication fabric. Your work will not only enable the AMS/photonic devices at low-level but also enable the necessary interfaces with the firmware/software. You will interact directly with our vendors and our customers. You will also define the product and technological roadmaps along with suitable design and verification methodologies.

You will report directly to the Chief Scientist, but you will also work closely with our digital, analog, photonic, and software teams. We are particularly looking for someone with expertise in architecting digital circuits to enable high-speed AMS circuits, with a strong preference for someone with experience in photonic circuits.

Join a tight-knit team where each individual’s contributions directly influence the success of the company and product. You'll have the opportunity to build a new kind of computer from the ground up and to solve groundbreaking challenges along the way. Work with people who love to build and who thrive in technically diverse environments where great ideas are prioritized.

Responsibilities

• Be the digital architecture owner of Lightmatter’s Passage product. Work closely with the rest of the architecture team, chip-design team, and the software team.
• Responsible for the digital architecture from initial concept through high-volume production. Work closely with the technical program manager(s) to plan, organize, and execute.
• Architect and specify system level digital designs integrating complex AMS and photonic circuits. These circuits include stabilization circuits of AMS & photonic devices; line-rate DSP, FEC, CRC; and tuning & adaptation of analog front-end components.   
• Work closely with test and validation engineers to validate hardware against simulation prediction.
• Author, review, and validate architectural specifications. With the product and applications engineering teams, they also produce customer-facing product datasheets and reference designs.
• Identify possible improvements as well as possible pitfalls (including mitigation strategies) around executing the proposed architectures. 

Qualifications 

• 12+ years and a Masters’ degree in Electrical or Computer Engineering
• In-depth knowledge of power-efficient digital design flow for high-speed AMS electronics, preferably on photonic communication channels.
• In-depth knowledge of digital circuit design in a high-speed analog/photonic link, including device bring-up, control, and digital signal processing.
• Demonstrated strong problem solving skills specifically pertaining to problems that do not have obvious solutions.
• Demonstrated strong communication and collaboration internally and externally, with timely responses and consistently positive feedback.

Preferred Qualifications

• Understanding of SerDes PCS layer and equalization along with forward error-correction schemes.
• Ability and desire to collaborate in a cross-disciplinary team: from hardware to software.

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1100+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing.

Location: This is an office based role. We expect the suitable candidate to be based in Xizhi District, New Taipet City as you will be required to work on-site at our lab.

This is a Python software engineering opportunity for a computer lab engineer passionate about open source software, Linux, and the latest server and network technologies. Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, a growing international software company. If you love hacking in your home lab and are curious about hardware, you will love this opportunity.

As an Python Engineer - Data Center Hardware Integration in Canonical, you will be responsible for the day-to-day management and operations of our lab in Taipei which serves as a centre point for Ubuntu server certification of US based silicon and server designs. This includes software defined hardware management, working with, and developing data centre automation tooling (MAAS), interacting with vendors, asset tracking and handling deliveries.  

What your day will look like

• Own a fully automated server lab with the latest server and network silicon from leading vendors.
• Use your Python development skills to develop the Metal as a Service (MAAS) software to work with a large variety of server and network hardware.
• Actively expand MAAS functionality by creating integrations with testing and scheduling software such as Testflinger.
• Manage the physical setup of the lab, ensure it is well structured and tidy, and execute changes either self or through remote hands.
• Work to standardise processes, configurations, and procedures in cooperation with engineers in our other data centres.
• Improve and extend hardware and network monitoring through automation.
• Regularly update asset management tools to ensure accuracy and completeness of the lab’s hardware.
• Update of equipment firmware when appropriate/needed.

What we are looking for in you

• Bachelor’s degree, preferably in Computer Science or Software Engineering
• Python programming experience
• Linux Administration experience
• Mix of Rack and Virtual systems experience
• Able to communicate clearly and effectively in English
• Strong time management skills
• Ability to manage competing priorities
• Ability to work with a globally distributed team of passionate engineers
  
• An exceptional academic track record from both high school and preferably university
• Willingness to travel up to 4 times a year for internal events

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person - we’ve been working remotely since 2004!
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues from your team and others
• Priority Pass for travel and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

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