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IT Support Specialist
Verbit provides AI-powered captioning & transcription technology. Services include captioning, transcription, audio description, translation, and note-taking for various industries.
Education Requirements:
Bachelor’s degree or equivalent experience
Experience Requirements:
1+ years working in a fast paced, rapid decision environment.
1+ years providing IT (desktop and software support) to internal employees (via phone and in person)
Responsibilities:
Manage configuration and deployment of all desktop and laptop computers.
Provide support to users (remote and in office).
Provide support for Microsoft Office 365 (Excel, Word, Outlook, Teams)
Troubleshoot problems reported by users.
Analyse and isolate issues.
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Senior Software Engineer (Data Team)
Darrow is an AI-powered legal intelligence platform helping legal professionals discover, assess, and address legal problems.
Education Requirements:
5+ Years of experience as a Data Engineer / Backend Developer.
Experience Requirements:
5+ Years of experience with a programming language (Python, Java, NodeJS) - We are working in Python :)
Experience with designing data platforms, Data pipelines, and complex architecture.
Other Requirements:
Familiarity with one of the main cloud providers.
English ( spoken & written).
Responsibilities:
Design, implement, and manage scalable, reliable products
Develop and maintain CI/CD pipelines for efficient software delivery
Implement and manage ETLs and backend infrastructure
Implement and maintain best practices across our infrastructure
Collaborate with development teams to improve deployment processes
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Senior Digital Design Engineer
Myrtle.ai optimizes real-time machine learning inference workloads for finance, speech, and recommendation systems, delivering low latency and superior throughput.
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
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Senior Software Developer
Myrtle.ai optimizes real-time machine learning inference workloads for finance, speech, and recommendation systems, delivering low latency and superior throughput.
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
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Senior System Verilog Verification Engineer
Myrtle.ai optimizes real-time machine learning inference workloads for finance, speech, and recommendation systems, delivering low latency and superior throughput.
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
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Solutions Lead Germany (DACH)
Gradyent offers a real-time Digital Twin Platform to optimise, decarbonise, and transform heating systems.
Benefits:
A very ambitious scale-up: just raised Series A from an international consortium of investors in the sustainable energy industry.
The opportunity to directly impact sustainability and the energy transition in a senior role.
Being part of a mission to make the world more sustainable by reducing losses in heating: the most significant opportunity for cities to decarbonise.
An environment where you can apply your engineering, AI and coding talent to solve client challenges while being supported by our experienced teams.
A competitive salary with a variable incentive (SAR) on top.
Education Requirements:
BSc, MSc or higher, with an affinity to technology and analytics. Education in engineering, data analytics, mathematics, econometrics, or computer science provides a decisive edge.
Experience Requirements:
5+ years of experience in energy, engineering and/or analytics in a client-facing role (e.g., in management consulting or otherwise).
Solid background in engineering, IT, client management and/or project management is preferred.
Other Requirements:
Native or fluent in German both in speaking and writing.
NOTE: This position is only open to those permitted to work in Germany or the Netherlands.
Responsibilities:
You will lead projects in which we onboard the district heating networks of our clients to our Digital Twin platform.
You will take end-to-end responsibility in leading and executing specialised heating and analytics consulting projects, including project management, communication with external stakeholders and leading the internal project team.
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Solutions Engineer Germany (DACH)
Gradyent offers a real-time Digital Twin Platform to optimise, decarbonise, and transform heating systems.
Benefits:
A very ambitious scale-up: just raised Series A from an international consortium of investors in the sustainable energy industry.
The opportunity to directly impact sustainability and the energy transition in a senior role.
Being part of a mission to make the world more sustainable by reducing losses in heating: the most significant opportunity for cities to decarbonise.
A competitive salary with a variable incentive on top.
Education Requirements:
BSc, MSc or higher, preferably in a relevant engineering discipline (mechanical, energy, industrial, etc)
Experience Requirements:
0-5 years of working experience in energy/analytics, preferably in a client-facing role.
Other Requirements:
Proficiency in German is required for this role - either native or fluent.
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Solutions Engineer - Industrial (Open Application)
Gradyent offers a real-time Digital Twin Platform to optimise, decarbonise, and transform heating systems.
Benefits:
Being part of a very ambitious scale-up phase: raised Series A from an international consortium of investors in the sustainable energy industry, on the path to series B.
The chance to have a direct impact on sustainability and energy transition.
An international, inspiring environment of brilliant, fun, creative professionals. A fast, dynamic and high-performance culture open to new ideas and full of learning opportunities.
Team lunches at our Rotterdam headquarters and the possibility to work from home a few days a week.
A competitive salary with a variable incentive (SAR) on top.
Education Requirements:
BSc, MSc or higher, preferably in a relevant engineering discipline (e.g. mechanical, energy, industrial, etc)
Experience Requirements:
Experience with or knowledge about industrial heating systems or large-scale energy management.
0-5 years of working experience in energy/analytics, preferably in a client-facing role.
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Solutions Engineer - Poland
Gradyent offers a real-time Digital Twin Platform to optimise, decarbonise, and transform heating systems.
Benefits:
Competitive salary with a variable incentive (SAR) on top.
Excellent benefits.
Direct impact on sustainability and energy transition.
Work together with a talented team to build a profitable, scaling business, while having fun.
Education Requirements:
BSc, MSc or higher, in a pertinent engineering discipline (e.g. mechanical, energy, industrial, etc)
Experience Requirements:
0-5 years of working experience in energy/analytics, preferably in a client-facing role.
Other Requirements:
You live in either Poland, Germany, or Netherlands. This role is remote from Poland, or hybrid from Rotterdam or Berlin.
Proficiency in Polish is required for this role - either native or fluent.
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Solutions Lead - Industry
Gradyent offers a real-time Digital Twin Platform to optimise, decarbonise, and transform heating systems.
Benefits:
A very ambitious scale-up: just raised Series A from an international consortium of investors in the sustainable energy industry.
The opportunity to directly impact sustainability and the energy transition in a senior role.
Being part of a mission to make the world more sustainable by reducing losses in heating: the most significant opportunity for industries to decarbonise.
An environment where you can apply your engineering, AI and coding talent to solve client challenges while being supported by our experienced teams.
A competitive salary with a variable incentive (SAR) on top.
Education Requirements:
BSc, MSc or higher, with an affinity to technology and analytics. Education in engineering, data analytics, mathematics, econometrics, or computer science provides a decisive edge.
Experience Requirements:
5+ years of experience in energy, engineering and/or analytics in a client-facing role (e.g., in management consulting or otherwise).
Solid background in engineering, IT, client management and/or project management is preferred.
Other Requirements:
Fluency in other languages a plus.
Responsibilities:
You will lead projects in which we onboard the industrial networks of our clients to our Digital Twin platform.
You will take end-to-end responsibility in leading and executing specialised heating and analytics consulting projects, including project management, communication with external stakeholders and leading the internal project team.
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Quality Assurance Engineer
Gradyent offers a real-time Digital Twin Platform to optimise, decarbonise, and transform heating systems.
Benefits:
A very ambitious scale-up: raised Series A from an international consortium of investors in the sustainable energy industry, approaching Series B
The opportunity to directly impact sustainability and the energy transition in a senior role.
Being part of a mission to make the world more sustainable by reducing losses in heating: the most significant opportunity for cities to decarbonise.
A competitive salary with a variable incentive (SAR) on top.
Experience Requirements:
QA Engineering experiencewith proficiency in both manual and automation testing.
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Software Engineer, Backend
Gradyent offers a real-time Digital Twin Platform to optimise, decarbonise, and transform heating systems.
Benefits:
A very ambitious scale-up: raised Series A from an international consortium of investors in the sustainable energy industry, approaching Series B
The opportunity to directly impact sustainability and the energy transition in a senior role.
Being part of a mission to make the world more sustainable by reducing losses in heating: the most significant opportunity for cities to decarbonise.
A competitive salary with a variable incentive (SAR) on top.
Experience Requirements:
Backend Proficiency: Demonstrated expertise in backend technologies, particularly Java and the Spring Framework, along with experience in REST APIs, databases, and SQL.
Other Requirements:
Based in the Netherlands, open to hybrid work.
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Cloud Engineer
Gradyent offers a real-time Digital Twin Platform to optimise, decarbonise, and transform heating systems.
Benefits:
A very ambitious scale-up: raised Series A from an international consortium of investors in the sustainable energy industry, approaching Series B
The opportunity to directly impact sustainability and the energy transition in a senior role.
Being part of a mission to make the world more sustainable by reducing losses in heating: the most significant opportunity for cities to decarbonise.
A competitive salary with a variable incentive (SAR) on top.
Education Requirements:
A degree in any field, or a BSc in any technology discipline.
Experience Requirements:
3+ years of experience in Cloud/DevOps.
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IT-Admin
Heliopas.ai provides environmental analytics for agriculture, helping businesses increase yields, reduce waste and enrich nature. They offer AI-driven solutions for remote environmental monitoring.
Benefits:
Ein interdisziplinäres, kundenorientiertes Startup mit einer großen Vision
Starke Teamkultur, ein erfolgreiches Gründerteam und erfahrene Mentoren
Flexible Arbeitszeiten und ein modernes Büro in der Technologiefabrik
Vielfältiges Lernen und eine steile Lernkurve
Ein von EU, DLR und Europäischer Weltraumorganisation (ESA) gefördertes Startup
Education Requirements:
Gute Kenntnisse in Linux und macOS
Gute Programmierkenntnisse in Python
Kenntnisse im Bereich DevOps
Experience Requirements:
Erfahrungen mit der AWS Cloud
Kenntnisse im Umgang mit Datenbanken und Containervirtualisierung (Docker)
Responsibilities:
Deployment von datenintensiven, verteilten und skalierbaren Softwaresystemen
Administration unserer Infrastruktur, um weltweit Analysen für landwirtschaftliche Felder bereitzustellen
Unterstützung des Teams bei allgemeinen IT-Problemen
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Platform and Infrastructure Engineer
minds.ai provides deep learning solutions for the semiconductor industry, optimizing operations and planning with AI to enhance workflows and improve KPIs.
Education Requirements:
BS, MS, in Computer Science or a related field, or equivalent practical experience.
Experience Requirements:
Good working knowledge of Docker, Kubernetes, Terraform, and other cloud-native technologies.
Experienced with working with public cloud providers (e.g. Azure, GCP, or AWS).
Excellent debugging skills of distributed systems software and willingness/ability to go under the hood when required.
Strong programming background with extensive experience in Python.
Familiarity with software engineering best practices.
Other Requirements:
Good written and verbal communication.
Demonstrated ability to work with minimal to no supervision.
Ability to work remotely with cross-cultural teams.
Self-motivation to learn new concepts and an excellent record of execution.
A sense of urgency, result orientedness, and excellent ability to prioritize.
Responsibilities:
As an infrastructure engineer you will design, develop and support our flagship reinforcement learning platform Deepsim by making it more scalable, robust, and deployable.
Our customers often have very diverse deployment and MLOps requirements and DeepSim will have to support them all.
You will work collaboratively with our data science and AI teams to ensure that their needs can be serviced by the platform, be it data processing or model serving.
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Python Engineer
minds.ai provides deep learning solutions for the semiconductor industry, optimizing operations and planning with AI to enhance workflows and improve KPIs.
Education Requirements:
BS, MS, in Computer Science or a related field, or equivalent practical experience.
Experience Requirements:
Deep experience with Python programming.
Experience designing and developing backend (REST API) servers via FastAPI (or other similar solutions).
Experience working and interaction with databases and related technologies such as Postgres, MySQL, MongoDB, SQLAlchemy, etc.
Experience in building scalable and fault-tolerant distributed systems.
Have worked on solutions that contain logging, monitoring and security best practices.
Other Requirements:
Good written and verbal communication.
Demonstrated ability to work with minimal to no supervision.
Ability to work remotely with cross-cultural teams.
Self-motivation to learn new concepts and an excellent record of execution.
A sense of urgency, result orientedness, and excellent ability to prioritize.
Responsibilities:
As a backend engineer you will design, develop and support the server components of our flagship reinforcement learning platform Deepsim by making it more accessible and composable.
You will work collaboratively with our infrastructure, data science and AI teams to ensure that their needs can be serviced by the platform, be it data processing, inspection of results, training of neural networks or model serving.
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Backend Engineer Lead (Java)
CloudDefense.AI is a CNAPP platform that offers Cloud Security Posture Management (CSPM), Cloud Infrastructure Entitlement Management (CIEM), Cloud Workload Protection Platforms (CWPP), and Kubernetes Security Posture Management (KSPM).
Benefits:
Competitive salary
Paid vacation, sick and emergency leaves
Friendly and enthusiastic team
Work from anywhere
Equity for the Right Fit, Days off for national holidays, Perfect place for growth, Wide career opportunities
Responsibilities:
planning and coding our Cloud and App security platform
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Software Engineer (Java)
CloudDefense.AI is a CNAPP platform that offers Cloud Security Posture Management (CSPM), Cloud Infrastructure Entitlement Management (CIEM), Cloud Workload Protection Platforms (CWPP), and Kubernetes Security Posture Management (KSPM).
Benefits:
Competitive salary
Paid vacation, sick and emergency leaves
Friendly and enthusiastic team
Work from anywhere
Equity for the Right Fit, Days off for national holidays, Perfect place for growth, Wide career opportunities
Experience Requirements:
3+ years on Java
Working experience with Spring/Spring Boot
Deep knowledge of SQL (PostgreSQL)
Practical experience with Docker
Upper-intermediate English level
Responsibilities:
designing and implementing Java applications
developing and testing software
resolving technical issues that arise
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Software Engineer (JavaScript - Angular)
CloudDefense.AI is a CNAPP platform that offers Cloud Security Posture Management (CSPM), Cloud Infrastructure Entitlement Management (CIEM), Cloud Workload Protection Platforms (CWPP), and Kubernetes Security Posture Management (KSPM).
Benefits:
Competitive salary
Paid vacation, sick and emergency leaves
Friendly and enthusiastic team
Work from anywhere
Equity for the Right Fit, Days off for national holidays, Perfect place for growth, Wide career opportunities
Experience Requirements:
HTML5, CSS3, SCSS
2+ years of experience with Angular
Ngrx knowledge
Upper-intermediate English level
Responsibilities:
Building the structure and design of web pages, striking a balance between functional and aesthetic design.
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QA Engineer
CloudDefense.AI is a CNAPP platform that offers Cloud Security Posture Management (CSPM), Cloud Infrastructure Entitlement Management (CIEM), Cloud Workload Protection Platforms (CWPP), and Kubernetes Security Posture Management (KSPM).
Benefits:
Competitive salary
Paid vacation, sick and emergency leaves
Friendly and enthusiastic team
Work from anywhere
Equity for the Right Fit, Days off for national holidays, Perfect place for growth, Wide career opportunities
Experience Requirements:
Experience in supporting development team in issues reproduction and root cause analysis
Reported work progress continuously through attendance of daily meetings
Created automated and manual test cases
Worked with requirements, test and update them
Created test reports, Worked on bugs and track the
Responsibilities:
prevent bugs, analyze the test results, find mistakes and document all of the issues. In other words, you will be making sure that developers get the results they expect.
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