Benefits:

• Reduced working year scheme

• Parental leave provisions

• Study support encompassing leave and financial assistance

• Comprehensive professional development

• Salary Packaging

Education Requirements:

• Completion of a doctoral qualification in engineering, computer science, or related discipline.

Experience Requirements:

• A well-formulated research agenda and the willingness or demonstrated capability to independently conduct high-quality research.

• Demonstrated ability to publish research outcomes in top conferences or journals in robotics, computer vision, or machine learning.

• Demonstrated knowledge and expertise in the foundations of robotics, computer vision, machine learning.

• Demonstrated proficiency in Python and experience with ROS, deep learning frameworks such as PyTorch, Linux.

• Excellent communication skills.

Responsibilities:

• Contribute to the research in QCR’s Visual Learning and Understanding Program

• Work closely with a team of academics, research fellow, engineers, PhD students and undergraduates

• Co-supervise PhD students and undergraduate students

• Publish in high-quality conferences and journals in robotics, computer vision, machine learning

• Actively participate and contribute to our collaborative culture within the Centre, including visits to Centre partners and joint publications

Benefits:

• Cycle to work scheme

• Social events

• Share Options

Education Requirements:

• degree in maths, science or engineering

Experience Requirements:

• At least 3 years experience in selling technical solutions

Responsibilities:

• be responsible for targeting new business and growing key assigned accounts.

• engage with research and innovation professionals, who are keen to understand the business impact of applying AI and machine learning, and demonstrate the key advantages of our technology and products in the real world.

• contributing towards the company’s growth and scale.

Benefits:

• hospitalization insurance

• meal vouchers

• eco vouchers

• company laptop

• company phone (unlimited data, call, SMS) and an annual bonus plan Eco-mobility package (train, bus, bike, etc.) Flexible working (50% remote, 50% office) Vacation time: 10 public holidays, 20 legal days, 10 extra legal days Learning and development package

Experience Requirements:

• 2-4 years of work experience

Responsibilities:

• Work directly with clients during scoping, briefing and implementation phases

• Use conversational AI tools to build flows and NLP/intent models

• Identify and analyze business needs to provide high-level budget estimates

• Apply business logic and integrations to transform simple chatbots into personalized conversational agents

Benefits:

• hospitalization insurance

• meal vouchers

• eco vouchers

• company laptop

• company phone (unlimited data, call, SMS) and an annual bonus plan Eco-mobility package (train, bus, bike, etc.) Flexible working (50% remote, 50% office) Vacation time: 10 public holidays, 20 legal days, 10 extra legal days Learning and development package

Experience Requirements:

• 0-2 years of work experience

Responsibilities:

• Work directly with clients during scoping, briefing and implementation phases

• Use conversational AI tools to build flows and NLP/intent models

• Identify and analyze business needs to provide high-level budget estimates

• Apply business logic and integrations to transform simple chatbots into personalized conversational agents

Education Requirements:

• PhD

Education Requirements:

• PhD

Benefits:

• Potential for stock options

• A dynamic, agile work environment

• A chance to be at the forefront of cybersecurity innovation

• Flexible remote work arrangement and a healthy work-life balance

• Provided MacBook, monitor, and other essential tools

Experience Requirements:

• Experience in Product Management, preferably in SaaS and/or Security

• Strong ability to translate technical concepts into user-friendly features

• Excellent communication and collaboration skills

• Familiarity with Agile methodologies, roadmaps, and backlog management

Responsibilities:

• Help define and oversee the execution of the product roadmap, aligning with business goals and customer needs.

• Conduct market research, meet with customers, collect user feedback, and perform analysis to drive product decisions.

• Collaborate with engineering, design, and security teams to bring features to life and simplify the product.

• Prioritize features and improvements, ensuring both the best user experience and business impact.

• Communicate product vision and progress across teams and stakeholders.

Benefits:

• Equity

• Medical, Dental, Vision insurance

• 401K

• Company provided MacBook Pro M3 / or high performance Windows/Linux laptop

• Access to awesome hardware of all kinds

Experience Requirements:

• 2+ years experience implementing ML models using PyTorch, HF transformers, llama.cpp, or similar

• 2+ years in C++ and Python programming

• Excellent communication and collaboration skills

Responsibilities:

• Bring up new AI model architectures across LM Studio's integrated inferencing libraries and ship them to millions of users worldwide.

• Collaborate with experts in the open-source community to make new model support available as soon as possible.

• Leverage software engineering skills and excellent intuition to architect and implement extensible on-device ML software.

• Work with LM Studio systems and app engineers to make the latest AI technologies useful and pliable through UIs and APIs.

Benefits:

• Equity

• Medical, Dental, Vision insurance

• 401K

• Company provided MacBook Pro M3 / or high performance Windows/Linux laptop

• Access to awesome hardware of all kinds

Experience Requirements:

• 3+ years experience building, rebuilding, and debugging apps in React & TypeScript

• Experience with real time updating UIs

• Deep understanding of React and JavaScript performance considerations

• Excellent communication skills

Responsibilities:

• Be a part of the LM Studio engineering team and ship graphical user interfaces for AI to millions of users worldwide.

• Invent new ways to achieve user goals with intuitive and performant UI.

• Leverage computer science and software engineering skills to make new user experiences with local AI not only possible but highly accessible to users with a wide range of backgrounds.

• Push the boundaries of our technology and your own knowledge.

Benefits:

• Equity

• Medical, Dental, Vision insurance

• 401K

• Company provided MacBook Pro M3 / or high performance Windows/Linux laptop

• Access to awesome hardware of all kinds

Experience Requirements:

• 3+ years experience with Node and TypeScript

• Strong understanding of networking concepts and protocols

• Strong understading of operating systems

• Excellent problem-solving and communication skills

Responsibilities:

• Design, implement, maintain new features in LM Studio

• Design, implement, maintain new public and internal APIs

• Extend, maintain, test LM Studio Core SDKs

• Implement, debug, test Node daemon-level code

• Implement, debug, test Node / Electron IPC code

Education Requirements:

• BSN completion required

Experience Requirements:

• 84 months of role experience is required from any number of months.

• 60 months of Nurse Management experience is required from any number of months.

• 3 months of experience with Epic is preferred from any number of months.

Other Requirements:

• Candidates must provide 2 references from within the past 12 months in order to be considered for this role

• Candidates must have a New York license

• BLS (Required)

• COVID vaccination required. Declinations not accepted.

• Flu vaccination required. Religious, medical, and personal declinations accepted.

• Proof of identification required

Experience Requirements:

• 4 years

Responsibilities:

• Lead the design and development of innovative IoT solutions.

Benefits:

• Free coffee

• Free fruits

• Free massage

• Free hairdresser

• Bike parking Free parking Shower No dress code Library Startup atmosphere Coffe/Fruits/Pizza Tuesday

Experience Requirements:

• Customer Success Experience

• L1 support experience

Other Requirements:

• Advanced English skills

• Interest in CRO and e-commerce

• Hungarian language skills

Responsibilities:

• Client Communication: Build strong relationships with B2B clients, ensuring their success and satisfaction

• Technical Support: Provide Level 1 support, resolving customer issues efficiently

• CRO Enthusiasm: Help enhance clients’ online performance with conversion optimization insights

• Sales Skills: Spot upsell and cross-sell opportunities to drive business growth

Benefits:

• Flexible, Hybrid Workplace: Enjoy the autonomy to choose between working remotely or in the office, with the flexibility to create a work environment that suits your needs. Flexible Vacation: Start with 3 weeks of vacation in your first year, and enjoy unlimited vacation starting your second year. Personal Days: Unlimited personal days for planned time off (booked in advance). Flex Days: 10 flex days for last-minute personal or sick days, giving you added flexibility when unexpected events arise. Comprehensive Health Benefits: Full coverage for dental, vision, prescription medication, alternative health therapies, and life insurance (after 3 months). Professional Growth: Access to leadership training and role-specific development opportunities for continuous learning. Company Phone Plan: Optional company phone plan available after 3 months. Team Retreats & Celebrations: Join us for company retreats, live events, and celebrations throughout the year. Retirement Savings: RRSP contribution plan with employer matching (optional after 3 months).

Other Requirements:

• To maintain SOC2 compliance, Employment is contingent on passing a background check.

Responsibilities:

• Develop using React/Vue (front-end) and Python/PHP (back-end).

• Integrate AI models (LLMs, GPT, AI Agents) to deliver seamless, cutting-edge user experiences.

• Utilize AI-assisted IDEs like Windsurf, Cursor, and other AI-driven development tools to boost efficiency.

• Leverage AI coding assistants and automation to write, debug, and optimize code faster.

• Stay ahead of advancements in AI-driven software engineering workflows.

Benefits:

• Competitive Compensation

• Flexible Vacation

• Personal Days

• Flex Days

• Comprehensive Health Benefits: Full coverage for dental, vision, prescription medication, alternative health therapies, and life insurance (after 3 months). Parental Leave Top-Up: Supplemental financial support for up to 15 weeks of parental leave, in addition to EI benefits. Professional Growth: Access to leadership training and role-specific development opportunities for continuous learning. Company Phone Plan: Optional company phone plan available after 3 months. Team Retreats & Celebrations: Join us for company retreats, live events, and celebrations throughout the year. Retirement Savings: RRSP contribution plan with employer matching (optional after 3 months).

Education Requirements:

• Bachelor’s degree in Business, Marketing, or a related field; MBA or equivalent is a plus.

Other Requirements:

• Must pass a background check to maintain SOC 2 compliance and uphold company security standards.

Experience Requirements:

• At least 5 years generating clear, well-documented, and well-tested code

• Built large C++ or Rust codebases

• Experience working on high performance or real-time applications

• Worked in a multi processor – multi threaded environment.

• Worked with cloud deployed applications

Other Requirements:

• Familiarity with Linux driver-level / kernel-level programming

• Experience of coaching and developing others

Responsibilities:

• Shipping Rust applications for real time deployment of machine learning powered services

• Optimising code for the latest larger server, multicore CPUs

• Creating code to handle high throughput, timing critical services in local and cloud based data centers

• Releasing customer and open source application repositories

• Working with our ML team and ML frameworks for inference optimization Working with our acceleration team to implement fully optimized applications Specifying customer and internal APIs Developing best practice ways of working and test infrastructure

Education Requirements:

• Masters degree in Engineering, Mathematics or other Scientific Discipline

Experience Requirements:

• At least 5 years experience generating clear, well-documented, and well-tested SystemVerilog, Verilog or VHDL code

• Experience of bringing up full FPGA designs and debugging on hardware

• Experience optimising RTL designs to achieve timing closure

Other Requirements:

• Worked with FPGA EDA tools such as Quartus or Vivado

• Worked with software languages such as C, C++, Python

• Familiarity with Linux development environments, version control and CI systems

• Good verbal and written communication skills

• Familiarity with neural network architectures

• Interest in Functional Programming Languages

Responsibilities:

• Writing and testing IP components in SystemVerilog for FPGA

• Building full applications for FPGA using our IP library

• Integrating with third party IP for external memory PCIe subsystems

• Extending IP verification code and integrating into automated test environments

• Working with software interface routines to support FPGA integration into the software stacks Learning about a range of Machine Learning inference optimization techniques Providing technical support for customer engagements

Education Requirements:

• A degree in Engineering, Computer Science or other Technical discipline

Experience Requirements:

• Experience simulating and verifying large RTL designs

• At least 5 years generating clear, well-documented, and maintainable SystemVerilog code

Other Requirements:

• Experience with C/C++ or other imperative coding language

• Good verbal and written communication skills

• Experience working in Linux based development environments

• An interest in learning about AI Inference compute architectures

• Interest in Functional Programming Languages

Responsibilities:

• Designing SystemVerilog based verification environments to support a range of IP products

• Optimizing verification code to enable fast simulation support for software integration

• Communicating the verification environment design and supporting others to use, add and extend testing during IP development

• Learning about AI inference compute architectures and mathematical techniques

• Working alongside our ML, Software and FPGA developers