Education Requirements:

• Master's or higher degree in Computer Science, Electrical Engineering, or a related field

Experience Requirements:

• Strong experience with Python, C++ and PyTorch, including model execution and runtime internals

• Hands-on experience with inference serving or high-performance ML systems

Other Requirements:

• Familiarity with Linux systems, profiling tools, and debugging performance bottlenecks

• Strong problem-solving skills and the ability to reason about system-level trade-offs

• Clear communication skills and ability to collaborate in a fast-paced environment

Responsibilities:

• Design, develop, and optimize high-performance inference frameworks for large-scale distributed serving

• Improve end-to-end serving performance (TTFT, ITL, throughput, tail latency)

• Design scalable multi-node serving architectures

• Analyze and optimize memory usage, device utilization, and communication overhead

• Build and maintain benchmarks and simulators for AI serving workloads

Benefits:

• Equity

• Benefits

• Inclusive culture

• Safe environment

• Barrier-free workplace

Education Requirements:

• MSc or PhD in Engineering, Science, or related field

Experience Requirements:

• 2+ years of experience in an industrial setting

• Expert-level experience with scripted photonic mask design/layout tools

• Knowledge and experience in performing physical verification (DRC, LVS)

• Experience generating layout in GDSII/OAS formats

• Experience working with version control systems such as Git

Other Requirements:

• Background in developing on-chip integrated passive photonic components

• Ability to manage multiple competing priorities

• Experience with tools like ipkiss3, gdsfactory, Virtuoso, or OptoDesigner

Responsibilities:

• Develop cutting-edge passive and active components for fault-tolerant architecture

• Participate in developing internal PDK with focus on ultra-low insertion loss

• Lead mask designs for fabrication process optimization

• Design advanced test structures with high sensitivity to insertion losses

• Bridge the gap between simulation and experiment

Benefits:

• Equity

• Benefits

• Inclusive culture

• Safe environment

• Barrier-free workplace

Education Requirements:

• Masters in Physics, Engineering, Experimental Sciences, or related relevant discipline

Experience Requirements:

• 3+ years of cleanroom process development experience

• Experienced in operation of clean room tools

• Experience developing cleanroom recipes

• Experience working in a collaborative team-based environment

Other Requirements:

• Knowledge of optical thin film stack metrology

• Experience with statistical process control (SPC)

• Excellent communication skills

• Ability to travel within Canada for cleanroom development

Responsibilities:

• Support efforts to improve performance of PNR cryogenic detectors

• Contribute to cleanroom fabrication, thin-film characterization, and metrology

• Fabricate state-of-the-art Superconducting Nanowire Single Photon Detectors

• Optimize fabrication processes for photonic quantum computing hardware

• Interface with internal stakeholders to understand performance requirements

Benefits:

• Inclusive culture

• Safe and equitable environment

• Barrier-free workplace

• Accommodations supported

Education Requirements:

• PhD in Physics, Engineering, Experimental Sciences, or related field (or Masters with 3+ years experience)

Experience Requirements:

• Experience in the operation of clean room tools

• Experience developing cleanroom recipes

• Experience with statistical process control

• Experience working in a collaborative team-based development environment

• Experience with data analysis software (Python, GitHub, JMP, MATLAB)

Other Requirements:

• Knowledge of birefringent thin film stack metrology

• Ability to travel weekly to cleanroom facility

• Availability for travel (≤ 20% travel time)

Responsibilities:

• Deliver Xanadu’s photonic quantum computing hardware

• Improve performance of thin-film-lithium-niobate waveguides and modulators

• Design and execute fabrication process improvement experiments

• Define and execute metrology and failure analysis plans

• Stay abreast of new developments in photonics fabrication

Benefits:

• Equity

• Benefits

• Inclusive culture

• Safe environment

• Barrier-free workplace

Education Requirements:

• BSc or higher in Electrical Engineering, Photonics Engineering, Materials Science, or related field

Experience Requirements:

• 2+ years experience working in a laboratory environment

• Experience in ball and wedge wirebonding

• Experience in designing simple PCBs using EDA tools

• Experience in sample preparation for metrology and optical experiments

• Experience with mechanical design software (e.g. AutoCAD Fusion, Solidworks)

Other Requirements:

• Working proficiency of Python programming

• Strong communication and interpersonal skills

• Experience preparing SOWs and BOMs

Responsibilities:

• Provide laboratory support for design, assembly, and characterization

• Apply integration and assembly skills to quantum hardware

• Utilize hands-on expertise in advanced device integration

• Effective interaction with vendors and internal/external customers

• Maintain inventory management for different projects

Benefits:

• Inclusive culture

• Safe environment

• Barrier-free workplace

• Accommodations supported

Education Requirements:

• PhD in physics, materials science, electrical engineering or related field

Experience Requirements:

• Experience with integrated photonics

• Hands-on experience on fabrication process development of TFLN circuits

• Familiarity with semiconductor and photonics metrology

• Experience with data analysis software (Python, GitHub, JMP, MATLAB)

Other Requirements:

• Strong critical thinking skills

• Excellent communication and teamwork skills

• Availability for travel required (expected ≤ 20% travel time)

• Proficiency in Mandarin preferred

Responsibilities:

• Develop and optimize fabrication processes for quantum computing hardware

• Independently own and direct wafer lots at foundry partners

• Design and execute fabrication process improvement experiments

• Define and execute metrology and failure analysis plans

• Collaborate with internal and external engineers

Benefits:

• Equity

• Benefits

• Inclusive culture

• Safe environment

• Barrier-free workplace

Education Requirements:

• Bachelor's or Master's degree in Electrical Engineering or a related field

Experience Requirements:

• 5+ years of professional experience in analog or mixed-signal ASIC/IC design

• Full-cycle design expertise from concept to tested silicon

• Deep experience with high-speed (<10ns) OR high-voltage constraints

• Design experience across multiple semiconductor process nodes

• Fluency with industry-standard EDA tools

Other Requirements:

• Strong desire to deliver high quality technical documentation

• Familiarity with photodetectors or optical modulators preferred

Responsibilities:

• Own specification, schematic capture, and simulation of analog circuits

• Drive the entire design flow through layout and tape-out

• Plan, execute, and analyze lab testing and characterization results

• Partner with photonics, packaging, and systems teams

• Solve complex system-level integration challenges

Benefits:

• Equity

• Benefits

• Inclusive culture

• Safe environment

• Barrier-free workplace

Education Requirements:

• Master's degree in Mechanical, Electrical, Photonics, Packaging Engineering, or Materials Science

Experience Requirements:

• Minimum of 5+ years of progressive experience in packaging engineering

• Proven experience with FiconTEC equipment is strictly required

• Experience with NPI within a manufacturing environment

• Proficiency with CAD software (SolidWorks, AutoCAD)

• Experience with statistical analysis tools

Other Requirements:

• Basic understanding of photonic-based on-chip and off-chip systems

• Exceptional communication and presentation skills

• Data-driven approach to decision-making

Responsibilities:

• Lead introduction of new packaging processes and technologies

• Validate and implement new equipment from pilot to high-volume manufacturing

• Conduct comprehensive process characterization and optimization

• Research, evaluate, and qualify new packaging materials and equipment

• Act as subject matter expert in hands-on troubleshooting

Benefits:

• Comprehensive medical, vision, and dental coverage

• 401(k) retirement plan

• Short & long-term disability insurance

• Life insurance

• Paid parental leave

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field

Experience Requirements:

• 5+ years of experience in backend software engineering

• 2+ years leading AI/ML teams

• Hands-on experience training AI/ML models

• Proven experience building and deploying agentic applications

Other Requirements:

• Must be located in the Toronto area

• Fluency in Python, Java, Scala, or C++

• Knowledge of ML toolkits (PyTorch, TensorFlow, LangChain, etc.)

Responsibilities:

• Partner directly with cofounders to set AI engineering strategy

• Hire, lead, and mentor a founding AI engineering team

• Act as a player-coach: contribute to architecture and model training

• Design and build scalable ML infrastructure for production

• Lead the development and launch of agentic applications

Experience Requirements:

• 8-10+ years of software engineering experience

• 3+ years in Senior IC roles

• In-depth knowledge of LLMs and agent frameworks (LangChain, LlamaIndex)

• Strong expertise in vector DBs (FAISS, Pinecone, Milvus)

Other Requirements:

• Proficient in Python and at least one systems language (Go, Java, or C++)

• Track record with RAG pipelines

• Strong background in system design

Responsibilities:

• Define and drive architecture for agentic AI systems

• Design frameworks for agents to autonomously analyze data

• Build scalable retrieval systems leveraging vector databases

• Design evaluation datasets and benchmarking frameworks

• Provide technical guidance and mentor engineers

Experience Requirements:

• 8+ years of experience in software engineering

• 3+ years of experience in leading small to medium-sized teams

• Expertise in scalable, distributed systems

Other Requirements:

• Knowledge of AWS, Spark, Databases, and Kubernetes

• Data-intensive application experience (ETL/ELT) is a plus

• High level of independence

Responsibilities:

• Build a reliable, scalable crawl platform for unified data

• Define and drive technical strategy and team roadmap

• Lead high-impact projects and handle ambiguous problem statements

• Own system design, architecture, and observability

• Mentor and lead engineers, fostering technical excellence

Education Requirements:

• Bachelor’s degree in computer science, engineering, or a related field, or equivalent experience

Experience Requirements:

• 3+ years of relevant experience

Other Requirements:

• Experience with scalable training-inference pipelines

• Familiarity with AWS, GCP, Azure, etc.

• Proficiency in Python, Bash, or PowerShell

• Proficiency in frameworks like PyTorch or TensorFlow

• Experience with Docker and Kubernetes

Responsibilities:

• GPU Programming

• Cloud Supercomputing

• Host Management

Education Requirements:

• Bachelor’s degree in computer science, engineering, a related field, or equivalent experience

Experience Requirements:

• 3+ years of relevant experience

Other Requirements:

• Willingness to dive into large ML codebases for debugging

• Demonstrated experience with deep learning and transformer models

• Proficiency in frameworks like PyTorch or TensorFlow

Responsibilities:

• Collaborate with researchers and scientists to implement and scale POC models

• Rapidly implement state-of-the-art methods from literature

• Train large-scale foundation models

• Build distributed training systems on HPC clusters

• Debug and customize third-party source code

Education Requirements:

• Bachelor’s degree in computer science, engineering, or a related field, or equivalent experience

Experience Requirements:

• 3+ years of relevant experience

Other Requirements:

• Experience with scalable training-inference pipelines

• Familiarity with AWS, GCP, Azure, etc.

• Proficiency in Python, Bash, or PowerShell

• Proficiency in frameworks like PyTorch or TensorFlow

• Experience with Docker and Kubernetes

Responsibilities:

• GPU Programming

• Cloud Supercomputing

• Host Management

Education Requirements:

• Bachelor’s degree in computer science, engineering, a related field, or equivalent experience

Experience Requirements:

• 3+ years of relevant experience

Other Requirements:

• Willingness to dive into large ML codebases for debugging

• Demonstrated experience with deep learning and transformer models

• Proficiency in frameworks like PyTorch or TensorFlow

Responsibilities:

• Collaborate with researchers and scientists to implement and scale POC models

• Rapidly implement state-of-the-art methods from literature

• Train large-scale foundation models

• Build distributed training systems on HPC clusters

• Debug and customize third-party source code

Benefits:

• Lunch support (Cafeteria)

• Individual equipment purchase support

• Job education cost support

• Mingling program support

• Remote work on Wednesdays

Education Requirements:

• Solid computer science (CS) and Database (DB) knowledge

Experience Requirements:

• At least 5 years and less than 12 years of development experience

• Experience with RDBMS (PostgreSQL, MariaDB) design and operation

• Experience with Git, Gradle, and Python packaging

Other Requirements:

• Ability to quickly understand and manage Java and Python service environments

• API specification definition and communication skills with React frontend

Responsibilities:

• Enhance Worklist (Python) and License (Java) servers

• Optimize architecture and maintain heterogeneous technology stacks

• Manage code quality and standardize test/deployment automation processes

• Design efficient API interaction and data schemas between React frontend and backends

Benefits:

• Lunch support (Cafeteria)

• Individual equipment purchase support

• Job education cost support

• Mingling program support

• Remote work on Wednesdays

Experience Requirements:

• 4+ years of practical experience as a System Engineer, Medical IT, or Tech Support

• Experience with PACS and DICOM-based systems

• System installation or operation experience in hospital IT environments

Other Requirements:

• Basic understanding of Linux server environments

• Basic network knowledge (IP, Port, Firewall, etc.)

• English communication skills for technical support with global customers

Responsibilities:

• Directly handle installation and initial construction of AI solutions in hospitals

• Configure PACS integration and DICOM communication settings

• Optimize systems according to hospital network and server environments

• On-site response and root cause analysis for operational issues

• Provide English-based technical support for overseas customers and partners

Benefits:

• Option to buy stocks at a discount

• Modern offices near Oslo Central Station

• Social events and ping pong table

• Flexible work hours and location

• 2-day bi-monthly Hackathon

Experience Requirements:

• 2-3 year of work experience in machine learning and backend development

Other Requirements:

• Good understanding of AI and ML concepts

• Experience with Python and Django

• Understanding of scalability and performance

Responsibilities:

• Continuously improve the platform

• Responsible for all stages of the feature development cycle

• Discuss ideas, design, and take part in workshops

• Coordinate with other teams to deliver complex features

• Release features to millions of users

Benefits:

• Small and experienced team

• Collaboration with known Nordic and global brands

• Modern tech stack

• High impact on technology choices

• Modern offices

Education Requirements:

• Formal CS or engineering background

Experience Requirements:

• 3-5 years of experience as a Software Engineer, Solutions Engineer, or in customer-facing engineering

Other Requirements:

• Strong hands-on experience with Python, TypeScript, JavaScript and NodeJS

• Comfortable working with non-technical stakeholders

• Strong system design instincts

Responsibilities:

• Design and build scalable integrations between AI agent platform and third-party systems

• Own integrations end to end including architecture and release

• Work directly with customers to translate business needs into technical solutions

• Act as a technical advisor and challenge assumptions

• Partner with Sales and CSM teams to scope integrations

Benefits:

• Base salary $200K – $400K

• Significant equity

• World-class compensation

• Exceptional growth

• Expand your network

Experience Requirements:

• 3+ years of experience working a technical role

Other Requirements:

• High drive, autonomy and bias for action

• Strong communication skills

• Willingness to travel (approximately 25%)

Responsibilities:

• Architect and deploy at scale

• Evolve the core product to make the customer successful

• Own the customer relationships

• Guide the direction of the product based on what you learn in the field

• Build the playbook