At Veeam, Sales Systems Engineers work closely with field sales teams and help to evangelize our product offerings to our partners, resellers and end users. Grow along with Veeam while gaining valuable experience in the hottest area within IT today. These positions require travel within the region of responsibility, up to 50%.

What you'll do

• Engage with end users and Veeam partners to establish and translate business objectives into technical requirements.
• Create content and deliver presentation and demonstrations to varying numbers and levels of decision makers, virtually and in person.
• Manage the technical evaluation stage of the sales process as a main technical advisor for Veeam solutions.
• Providing pre-sales assistance to customers as they evaluate Veeam software (i.e. POCs, Hands-on Labs, Bootcamps).
• Record and maintain accurate and up-to-date details of customer and partner engagement activities on the CRM platform (Salesforce)
• Working closely with Veeam’s value-added resellers on training, joint meetings and building relationships.
• Support lead generation activities such as events, webinars, user groups, etc.
• Working closely with Veeam Product Development and Engineering to provide customer feedback.
• Active participation and collaboration with cross functional teams on various strategic initiatives that increases efficiencies and add long term value to the company (i.e. TCO & ROI calculators, hands-on-labs).

What you'll bring

• Demonstrable experience working in a pre-sales role in IT.
• Prior experience using or deploying Veeam solutions.
• VMCE certification would be very advantageous; all SEs can obtain VMCE and VMCA certifications once in the role.
• Have deep experience with virtualization technologies (VMware vSphere, Microsoft Hyper-V, Nutanix AHV), and associated technologies (SANs, hyper-converged storage, networking).
• Have a working knowledge of public clouds (Amazon AWS, Microsoft Azure, Google Cloud Platform).
• Have a working knowledge of key SaaS platforms such as Microsoft Office 365 and Salesforce.
• Have excellent written and verbal communication skills.
• Be comfortable presenting to groups, both remotely and in person.
• Be available to travel across the Nordics.
• Be a self-starter with the ability to learn new technologies quickly.
• Be comfortable working in a fast-paced environment where roles and responsibilities change quickly.

What you´ll get

• 25 annual leave days plus 12% holiday pay, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Health and life insurance covering illness and work-related accidents
• Employer-funded pension plan
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

Please note: If an applicant is permanently located outside of Norway, Veeam reserves the right to decline the application for this position.

#LI-AF1

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do

• Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
• Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
• Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

• Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
• Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Preferred Tech Stack:
  • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
  • Prior experience with GCP is a plus

What We Offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Opportunity to lead key engineering and product decisions
• Actively shipping production code for the Speechify iOS app
• Work within a dedicated product team
• Participate in product discussions to shape the product roadmap
• Maintain and enhance the existing complex app architecture

An Ideal Candidate Should Have

• Experience. You've worked on products that scaled to a large user base
• Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product
• Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience
• Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction
• Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Technical skills. Swift, SwiftUI

Technical Requirements:

• Swift Programming Language
• SwiftUI experience
• Experience in Multithreading Programming
• Working with CI/CD infrastructure
• Experience with Fastlane
• SOLID principles, the ability to write every single class according to SOLID
• Experience with Git and understanding of different Git strategies

What We offer:

• A fast-growing environment where you can help shape the company and product
• An entrepreneurial crew that supports risk, intuition, and hustle
• The opportunity to make a big impact in a transformative industry
• A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture
• Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives
• Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world
• Work in one of the fastest growing sectors of tech: Intersection of Artificial Intelligence and Audio

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its Design award winner for inclusivity for 2025.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

With the growth of our Android app, being the most used text-to-speech app in the Play Store, we find the need for a Senior Android Engineer to help us support the new user base as well as work on new and exciting projects to push us forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Owning major features and working closely with our design team - take ownership of features inside the app and become responsible of delivering high quality features
• Shape the future of our Android team
• Own, maintain and improve reliability metrics for key features
• Participate in discussions across different teams - Product, Design, Engineering
• Review pull requests, and support other teammates
• Handle critical issues or cope with unexpected challenges 
• Take ownership of feature releases and provide nightly builds for the QA team

An Ideal Candidate Should Have

• 5+ years of software engineering experience
• Familiarity with Android components
• Experience building or contributing to at least one Android app
• Product design intuition and user empathy
• Drive to push the boundaries of Android UI/UX
• Understanding of the importance of tests and how to approach writing tests
• Self-drive to improve the app and codebase above and beyond what's outlined in the spec
• Rock solid experience with Kotlin, Kotlin Coroutines, Kotlin Flow, Dagger 2, MVVM, Clean Architecture, Background Services, Music Player Service, Android Animations, Jetpack Navigation, JUnit tests
• Excellent communication skills
• User oriented problem solving approach
• Driven with continuous feedback from leaders

Bonus:

• Experience building, maintaining, or otherwise contributing to open source projects in Android
• Experience with iOS, Web or NodeJS

Technologies we use:

• Kotlin
• Kotlin Coroutines
• Kotlin Flow
• Jetpack Navigation
• Dagger 2
• Room
• Custom Views, Canvas & Paint
• Jetpack Compose
• JUnit

What We offer:

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

What Is The Role:

As part of the Platform Engineering department, the Traffic team is crafting, building, and improving the multi-cloud platform at scale for Elastic Cloud Hosted and Serverless. We grow and mature our distributed network services and solutions for multiple cloud service provider platforms. We are built on Kubernetes, Go/Scala, and custom orchestration architectures. In your daily life with us, you will participate in coding, innovating technical designs, crafting solutions, improving resilience, and prioritizing security, bug fixes, and features. For example, Debugging Azure Networking for Elastic Cloud Serverless is part of our efforts, and we want your experience to contribute to a truly exceptional customer experience!

What You Will Be Doing:

• Taking an engineering approach in leading technical initiatives for automating network engineering efforts to guarantee the reliability of the global Elastic infrastructure. .
• Growing our global Platform infrastructure to meet the increasing scaling demands by developing and maintaining software, codebases, tooling and automations.
• Collaborating in an environment with an inclusive approach, and focusing on operational perfection which uplifts others.
• Preventing repeated customer impact in response to major incidents and prioritised problem management. Our on call rotation is spread well, and we address complex customer concerns too.

What You Bring:

• 10+ years in Software Engineering with product success in delivering Cloud network solutions. You collaborate with engineers as an authority in identifying, implementing and delivering solutions. Experience in public cloud, Go and managed Kubernetes services is advantageous.
• Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability. We want to hear about your customer first approach in solving operational problems for both today and the future.
• Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships. Examples of working in distributed teams or working remotely is desirable.

Bonus Points:

You don't need to have all of these items, but these represent the types of work you will do as a Software Engineer at Elastic.

• You have designed and built a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform
• You have built Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it.
• You have written product features or functions in Golang or other programming languages.
• You have worked with containerized services (such as Docker.)
• You have proven results in leading and improving cross-team engineering initiatives.
• You have experience in system administration with professional skills in Linux on distributed systems at scale.
• You have diagnosed or designed, implemented and created solutions with the Elastic Stack.
• You are experienced in a self-organizing and sharing in a globally distributed team environment.
• You strengthen team members in bringing out the best of each other by uplifting others with coaching and mentoring.

What Is The Role : 

Developers and community matter. Our users and contributors have helped ensure that the Elastic Stack (including Elasticsearch, Kibana, Beats, and Logstash) is more than just code — they are open source projects that people love to use.

We’re looking for someone who can connect with our global audience through creative, educational, and visually engaging content. You don’t need to be a Senior Engineer — but you should have a strong technical foundation, curiosity to learn, and the skills to tell compelling stories about technology.

Your work will combine writing, visuals, and video — with no waiting on others to get it done. From drafting a Twitter thread in the morning to publishing an infographic and editing a short video in the afternoon, you’ll take ideas from concept to launch, end to end.

What You Will Be Doing:

• Create engaging technical content for social media, blogs, and YouTube, covering Search, AI, and Elasticsearch in ways that are approachable and inspiring. Topics range from foundational and evergreen topics to today's LLM release.
• Write short-form content (Twitter threads, LinkedIn posts) that distills complex concepts into clear, shareable insights.
• Produce simple, high-quality videos and infographics yourself — from scripting and recording to editing and publishing.
• Explore new trends in Search, AI, and developer tools, and translate them into content our audience cares about.
• Build demos and examples to support your content or share the highlights of the latest research papers.
• Add a creative spark to Elastic’s content to keep our community engaged and draw in new audiences.

What You Bring : 

• Solid technical background and experience in an engineering role.
• Demonstrated ability to create a variety of content formats: blog posts, social media threads, videos, infographics.
• Comfortable working independently and seeing projects through from idea to publication without waiting on others.
• Curiosity and adaptability to quickly pick up new tools and topics.
• A collaborative mindset and willingness to share ideas, in a fully distributed team.
• Strong written and spoken communication skills in English.

Blue Moon Metals is seeking an experienced and dynamic Senior Project Engineer to join our corporate office, supporting all projects across our organization. This pivotal role is responsible for providing technical expertise, project oversight, and strategic guidance to ensure successful delivery of engineering projects company-wide.  The Senior Project Engineer's immediate assignment will be to our Nussir Project in Northern Norway, requiring long-term stays or relocation to the project region.

Key Responsibilities

• Manage and coordinate engineering efforts for multiple projects, ensuring adherence to technical standards, budgets, and schedules.
• Support project managers and site teams with technical expertise, problem-solving, and risk assessment throughout the project lifecycle.
• Develop and review project scopes, specifications, drawings, and deliverables for accuracy and compliance with company and regulatory requirements.
• Collaborate with cross-functional teams—including design, procurement, construction, and quality assurance—to drive project objectives and resolve technical challenges.
• Facilitate technical meetings, workshops, and design reviews; present recommendations to senior leadership and stakeholders.
• Monitor project progress, identify deviations, and implement corrective actions as required.
• Lead initiatives to improve engineering processes, standardization, and best practices across all projects.
• Mentor and support the professional development of junior engineers and project staff.
• Stay current on industry trends, emerging technologies, and regulatory changes relevant to the metals and construction sectors.

Qualifications and Experience

• Bachelor’s degree in Engineering (Mechanical, Civil, Structural, or related discipline); Master’s degree or P.Eng designation is an asset.
• Minimum 8 years of progressive engineering experience, with at least 3 years in a senior or lead project role in metals, mining, construction, or heavy industry.
• Demonstrated success managing complex, multi-disciplinary projects from conception to completion.
• Strong understanding of project management methodologies, engineering standards, and regulatory requirements in Canada and internationally.
• Exceptional communication, leadership, and interpersonal skills.
• Proficiency with engineering and project management software (e.g., Deswik or other CAD software, MS Project, Primavera).
• Ability to travel domestically and internationally as needed.

Pay range and compensation package

Compensation details will be discussed during the interview process.

Equal Opportunity Statement

We are committed to diversity and inclusivity in our hiring practices and encourage applications from all qualified individuals.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.

About the Role

EnCharge AI is seeking a highly skilled and experienced AI Compiler Engineer to spearhead the efforts in developing and optimizing graph compilers tailored to cutting-edge AI and ML workloads. You will collaborate with hardware architects, and AI researchers to enhance performance, optimize computation graphs, and enable efficient model deployment on EnCharge’s Inference Accelerators. 

Responsibilities

• Architect, design, and implement optimizations for AI model execution on graph compilers to improve performance, reduce latency, and maximize hardware utilization.
• Work closely with ML researchers, hardware engineers, and software developers to design and deploy AI models, understanding and addressing hardware-specific challenges.
• Work on performance optimizations for neural network models, such as layer fusion, operator fusion, and graph-level transformations.
• Develop compiler optimizations and passes that convert high-level AI models (e.g., from TensorFlow, PyTorch) into intermediate representations (IR).
• Implement parsing, semantic analysis, and IR generation for deep learning frameworks.
• Research and integrate the latest advancements in compiler design, ML model optimizations, and hardware acceleration into graph compilers.
• Provide leadership, mentorship, and technical guidance to a team of engineers focused on graph compiler optimizations. 

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field (Ph.D. preferred).
• 3+ years in compiler development, with a strong focus on AI or ML graph compilers.
• Proficiency in AI graph compiler frameworks (e.g., MLIR, Torch-FX)
• Solid background in hardware architectures (e.g., GPUs, TPUs, ASICs) and optimization techniques such as fusion, quantization, and tiling.
• Familiarity with neural networks operators and code generation.
• Strong understanding of intermediate representations, code parsing, and semantic analysis in compiler design.
• Proficiency in C++, Python, or other programming languages commonly used in compiler development.
• Open-source contributions to AI software frameworks and libraries is a plus
• Demonstrated experience leading and mentoring engineering teams with successful project delivery. 

EnchargeAI is an equal employment opportunity employer in the United States.

Do you feel you are an engineer on paper but an IT person at heart? Are you looking for a job where you can combine your two passions for technology? Would you like to work at a company where no one expects you to be perfect, but rather fix everything as a team? Have you wondered if there is a company in which people love to give and receive help? Yes, there is, and we'd love to have you join us.

Who are we?

CLEVR delivers digital transformation at scale by implementing Siemens and Mendix solutions to serve industries like manufacturing, retail, energy, and more. We leverage PLM, MOM/MES, and low-code technologies for manufacturing optimization and business process automation while ensuring seamless integration with other core systems like SAP, IBM, and Salesforce. CLEVR brings together technology and industry expertise to provide strategic solutions that streamline operations, drive efficiency, and enable digitalization to fit market demands.

About the job
As a Lead PLM Engineer at CLEVR, you are responsible for driving and securing successful PLM project deliveries. You will collaborate closely with other engineers and Project Managers, acting as a technical lead in customer facing engagements, and contribute to delivering scalable and value-driven PLM solutions through agile processes. To learn more about what projects we work with: https://www.clevr.com/customer-stories

Your role will include:
As a Lead PLM Engineer your role will include leading and supporting complex PLM initiatives with a strong focus on technical excellence and customer value. You will work in close collaboration with Project Managers, business consultants, and internal teams to ensure robust and scalable solutions.

• Leading technical PLM projects together with the project managers
• Taking responsibility as a technical architect where needed in cooperation with business consulting
• Working closely with Team Lead and help driving the technical quality in our work
• Being responsible for the technical delivery of software Upgrades within the assigned projects
  
  

What you bring to the table:
We are looking for a candidate that brings a strong combination of technical expertise and leadership skills. 

• Solid experience with Teamcenter or other PLM, systems and proven experience working on client projects with tailored PLM-systems.
• Experience with PLM system architecture, data models, workflows, and integrations, with hands-on experience in Teamcenter.
• Proven experience leading or taking senior responsibility in technical PLM deliveries
• Background in the engineering industry is an advantage.

This employment may require security clearance by the Norwegian National Security Authority. For more information visit www.nsm.no.

What we offer you:

At CLEVR, you will join a highly competent and supportive environment where you are trusted with responsibility and encouraged to grow. We offer exciting challenges, modern ways of working, and the opportunity to shape both solutions and your own career.

• Competitive salary with bonus plan
• 30 vacation days
• A flexible workday with the option to work from home
• Company pool cars available for private use
• Excellent insurance plans that cover, among other things, treatments with physiotherapists, chiropractors, and other health services
• 8 days dedicated to personal development – we want you to reach your full potential!
• Exciting projects and clients where you will get plenty of responsibility

The Ideal Candidate

The Lead Software Engineer: Cloud Modernisation will play a key role in advancing Entersekt’s transition toward cloud-ready and cloud-native architectures across the company’s SaaS product suite. This role combines senior technical leadership with hands-on engineering delivery.

You are an experienced engineer who is comfortable working directly within complex production codebases while also shaping architectural direction and modernisation strategy. You bring a pragmatic mindset when working with legacy systems and understand how to balance performance, cost efficiency, operational reliability, and delivery timelines when introducing cloud-native patterns.

The successful candidate will guide the modernisation of existing systems by introducing scalable architecture patterns, automation, and operational improvements while partnering closely with product engineering, platform engineering, DevOps, security, compliance, and product management teams.

Initial focus for this role will be the modernisation of Entersekt’s 3DS product suite, with patterns, architectural approaches, and enablement efforts expected to scale across the broader SaaS platform over time.

The Role

This is a senior individual contributor role operating at Lead Engineer level. The role combines architectural leadership with hands-on engineering execution and is responsible for defining and delivering the modernisation roadmap for key product systems.

The Lead Software Engineer will assess previous generation (heritage) components, design target-state architecture, and implement modernisation improvements directly in product codebases. The role will introduce modern engineering practices and cloud-native patterns while establishing guardrails, reference implementations, and repeatable approaches that product teams can adopt.

The position plays an important role in enabling a scalable SaaS operating model by improving automation, observability, deployment consistency, and tenant lifecycle management. Through close collaboration with engineering and platform teams, the role will help accelerate cloud-native delivery while maintaining strong operational, security, and regulatory standards.

Responsibilities

Modernisation Strategy, Roadmap and Architecture

• Define modernisation roadmaps for product applications, including target-state architecture for services, infrastructure, and data flows.
• Assess legacy components to identify modernisation opportunities, technical debt, and pragmatic remediation paths.
• Determine appropriate modernisation approaches including refactoring, re-platforming, or re-architecting based on performance, cost, risk, and delivery considerations.
• Contribute architectural insight to the modernisation business case and support financial modelling related to infrastructure and platform decisions.

Engineering Delivery

• Implement modernisation changes directly within product codebases, including refactoring legacy components and decomposing monolithic architectures.
• Introduce cloud-native engineering patterns such as microservices, event-driven architecture, containerisation, and serverless services.
• Identify and implement performance, scalability, and reliability improvements using observability platforms, cloud metrics, and logging tools.
• Develop reference implementations and engineering patterns that enable teams to accelerate modernisation across products.
• Drive code-level implementation decisions and ensure successful delivery of modernisation outcomes across multiple engineering teams.

SaaS Platform and Operational Modernisation

• Improve the operational and platform capabilities that support Entersekt’s SaaS delivery model.
• Reduce reliance on manual operational processes and bespoke scripts by introducing automation across tenant lifecycle management.
• Design and implement repeatable processes for tenant provisioning, configuration, and environment management.
• Improve onboarding speed for new tenants through standardised workflows and environment templates.
• Establish tenant-aware observability by improving consistency of logs, metrics, traces, dashboards, and alerting across services.
• Contribute to multi-tenant architecture design, including tenant isolation and service tiering considerations.
• Improve deployment consistency through repeatable deployment patterns, automation, and safer release processes.

Engineering Standards and Governance

• Introduce practical engineering guardrails that support modern development practices including API-first design, event streaming, cloud-native storage, and container orchestration.
• Define and maintain architectural standards, patterns, and best practices for cloud-native development.
• Contribute to cloud governance initiatives and participate in architecture reviews that guide engineering teams through modernisation efforts.

Cross-Functional Collaboration

• Lead technical workshops, architecture discussions, and design reviews across product teams.
• Support engineering teams in translating modernisation objectives into practical implementation changes.
• Partner closely with DevOps, Platform Engineering, Cybersecurity, Compliance, and Product teams to ensure modernisation initiatives align with operational and regulatory requirements.
• Build trust with engineering teams by introducing modern practices through collaborative design and working reference implementations.

Team Development

• As the modernisation programme evolves, contribute to shaping a small, specialised engineering capability that supports broader platform modernisation initiatives.
• Maintain a strong hands-on focus while helping teams adopt new patterns and technologies.

Success Measures (First 12 Months)

Success in this role will be measured by the ability to deliver meaningful modernisation outcomes across Entersekt’s SaaS platform while establishing scalable engineering patterns that enable teams to accelerate cloud-native delivery.

Key outcomes in the first 12 months may include:

• Completing a comprehensive architectural assessment of the 3DS product suite, identifying key modernisation opportunities, technical constraints, and priority areas for improvement.
• Delivering a modernisation roadmap and migration plan that clearly defines architectural direction, sequencing, and the associated performance, operational, and cost considerations.
• Successfully modernising at least one product or major product component, resulting in measurable improvements in system operability, maintainability, and performance.
• Reducing reliance on manual operational processes and bespoke scripts through the introduction of automated tenant lifecycle management and environment provisioning.
• Improving observability and operational readiness by introducing consistent logging, metrics, dashboards, and alerting across services and tenants.
• Contributing architectural insights and cost considerations to the modernisation business case, supporting decision-making around infrastructure and platform investments.
• Establishing trusted working relationships with product and platform engineering teams by delivering working modernisation patterns and reference implementations that teams can adopt.
• Contributing to the development of a long-term platform architecture roadmap that supports modernisation across multiple products within the Entersekt SaaS ecosystem.

Skills and Experience

Successful candidates for this role will generally possess the following qualifications and skills:

• Demonstrated experience designing and delivering application modernisation programmes within AWS environments.
• Experience modernising applications through refactoring, re-platforming, or re-architecting legacy systems.
• Strong experience building and operating production systems using containers and orchestration platforms such as Kubernetes (or equivalent platforms).
• Solid backend engineering experience with the ability to diagnose and improve performance, scalability, and reliability in production systems.
• Experience working with Java-based systems or comparable backend development stacks.
• Proven experience implementing modern architectural patterns such as microservices, event-driven architectures, and distributed systems.
• Experience improving operational maturity through automation, observability, monitoring, and repeatable deployment processes.
• 8+ years of experience in cloud architecture, platform engineering, or senior software engineering roles responsible for production systems.
• Strong communication and collaboration skills with the ability to influence engineering, product, and platform teams.
• AWS certification is advantageous but not required.

Personality Attributes

• Strong bias toward delivery with a willingness to work hands-on in complex production systems.
• Pragmatic and comfortable working with legacy environments while introducing modern engineering approaches.
• Ability to influence teams through working solutions, reference implementations, and practical improvements.
• Systems thinker who balances architecture decisions with operational reliability, cost management, and security.
• Collaborative team player who builds trust across engineering teams through clear communication and inclusive technical leadership.
• Maintains accountability for delivering measurable outcomes while enabling teams to adopt modern engineering practices.

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.

About the Role

EnCharge AI is looking for an experienced AI Research Engineer to optimize deep learning models for deployment on edge AI platforms. You will work on model compression, quantization strategies, and efficient inference techniques to improve the performance of AI workloads. 

Responsibilities

• Research and develop quantization-aware training (QAT) and post-training quantization (PTQ) techniques for deep learning models.

• Implement low-bit precision optimizations (e.g., INT8, BF16).

• Design and optimize efficient inference algorithms for AI workloads, focusing on latency, memory footprint, and power efficiency.

• Work with frameworks such as PyTorch, ONNX Runtime, and TVM to deploy optimized models.

• Analyze accuracy trade-offs and develop calibration techniques to mitigate precision loss in quantized models.

• Collaborate with hardware engineers to optimize model execution for edge devices, and NPUs.

• Contribute to research on knowledge distillation, sparsity, pruning, and model compression techniques.

• Benchmark performance across different hardware and software stacks.

• Stay updated with the latest advancements in AI efficiency, model compression, and hardware acceleration. 

Qualifications

• Master’s or Ph.D. in Computer Science, Electrical Engineering, or a related field.

• Strong expertise in deep learning, model optimization, and numerical precision analysis.

• Hands-on experience with model quantization techniques (QAT, PTQ, mixed precision).

• Proficiency in Python, C++, CUDA, or OpenCL for performance optimization.

• Experience with AI frameworks: PyTorch, TensorFlow, ONNX Runtime, TVM, TensorRT, or OpenVINO.

• Understanding of low-level hardware acceleration (e.g., SIMD, AVX, Tensor Cores, VNNI).

• Familiarity with compiler optimizations for ML workloads (e.g., XLA, MLIR, LLVM). 

EnchargeAI is an equal employment opportunity employer in the United States.

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.

About the Role

EnCharge AI is seeking an AI Runtime Engineer to develop and optimize the execution stack for our next-generation AI accelerator. In this role, you will work on low-latency, high-performance runtime software that enables efficient execution of deep learning models on specialized hardware. You will collaborate with hardware, compiler, and AI framework teams to deliver optimized AI inference and training performance across cloud and edge environments. 

Responsibilities

• Develop and optimize the AI runtime software stack for executing deep learning workloads on AI accelerators.
• Implement task scheduling, memory management, and kernel execution strategies for efficient computation.
• Optimize data movement between host and device using PCIe, DMA, shared memory.
• Design and implement high-performance APIs for AI Inference frameworks such as OpenVino, ONNX Runtime, vLLM
• Work on graph execution optimizations, including kernel fusion, pipelining, tensor tiling, and caching.
• Integrate runtime components with AI compilers (LLVM, MLIR, XLA, TVM) for optimized execution.
• Ensure scalability and reliability of the AI runtime for cloud-based and edge AI deployments. 

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• 3+ years of experience in developing low-level runtime software for AI accelerators, GPUs, or HPC systems.
• Strong proficiency in C/C++ and low-level systems programming.
• Deep understanding of task scheduling, concurrency, and memory hierarchy.
• Experience with hardware-aware optimizations and dataflow architectures.
• Familiarity with deep learning execution frameworks (ONNX Runtime, TensorRT, TVM, OpenVINO).
• Experience with low-latency, high-throughput workload execution for AI models.
• Strong debugging and profiling skills for optimizing AI execution performance.
• Exposure to AI model deployment pipelines (Triton, TensorFlow Serving). 

EnchargeAI is an equal employment opportunity employer in the United States.

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.

About the Role

EnCharge AI is seeking a highly skilled Device Driver Engineer to design and implement high-performance driver stack for our cutting-edge AI accelerator hardware. In this role, you will work closely with hardware, firmware, and AI software teams to develop low-latency, high-bandwidth communication between the host system and AI accelerator.

Responsibilities

• Develop, optimize, and maintain Linux/Windows PCIe device drivers for AI accelerators.
• Implement low-level hardware interactions, DMA, memory management, and interrupt handling.
• Work on driver optimizations to reduce latency and improve throughput for AI workloads.
• Debug and troubleshoot PCIe protocol, kernel panics, crashes, and performance bottlenecks.
• Collaborate with hardware, firmware, and AI software teams to define driver interfaces.
• Ensure compliance with PCIe standards (Gen4/Gen5), SR-IOV, BAR memory mapping, and IOMMU.
• Support virtualization (VFIO, SR-IOV, DPUs) and containerized environments (Kubernetes, Docker, etc.).
• Develop tools for profiling, debugging, and monitoring driver performance.
• Contribute to open-source kernel modules if applicable. 

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• 3+ years of experience in device driver development for Linux and/or Windows.
• Strong experience with PCIe-based hardware, including BAR regions, DMA, interrupts, and MMIO.
• Proficiency in C/C++ and kernel-mode programming (Linux Kernel, Windows WDDM/WDF/MCDM).
• Experience with AI-specific accelerators (e.g., GPUs, NPUs, TPUs) is a plus.
• Knowledge of low-level debugging tools (gdb, perf, ftrace, dmesg, PCIe analyzers). 
• Understanding of multi-threading, synchronization, and memory management in kernel space.
• Familiarity with high-performance AI/ML workloads is a plus.
• Experience in hypervisor interactions, VFIO, and passthrough solutions.
• Knowledge of secure boot, firmware updates, and trusted execution environments (TEE). 

 EnchargeAI is an equal employment opportunity employer in the United States.

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.

About the Role

EnCharge AI is looking for an Embedded SW Engineer to develop the firmware for our Edge AI processors. The candidate must possess an excellent understanding of computer architecture and operating system concepts including, but not limited to, memory management, virtualization and PCIe address space. The role includes designing and developing the core Firmware for various parts of the SOC. The candidate must possess strong communication skills to interface with Runtime, Architecture and H/W teams. 

Responsibilities

• Develop the critical pieces of EAI Firmware used to deploy inference jobs on EAI processors
• Validate different IP blocks on the SOC
• Evaluate and integrate third-party device drivers to interface with EnCharge’s SW stack
• Work closely with the Runtime, Hardware and Architecture teams define the driver architecture 

Qualifications

• Bachelors in EE/CS
• Advanced programming skills in C/C++ for operating system kernel & systems development
• Understanding of RISC-V architecture is a plus
• Exposure to PCIe BAR and IOMMU architecture
• Exposure to virtualization and hypervisor technologies
• Deep understanding of operating systems concepts, data structures, x86-64 and accelerator architectures
• Experience with low-level debug tools as well as emulators and simulators
• Experience running, analyzing, and tuning system performance benchmarks
• Excellent verbal and written communication skills 

EnchargeAI is an equal employment opportunity employer in the United States.

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.

About the Role

EnCharge AI is seeking an LLM Inference Deployment Engineer to optimize, deploy, and scale large language models (LLMs) for high-performance inference on its energy efficient AI accelerators. You will work at the intersection of AI frameworks, model optimization, and runtime execution to ensure efficient model execution and low-latency AI inference.  

Responsibilities

• Deploy and optimize LLMs (GPT, LLaMA, Mistral, Falcon, etc.) post-training from libraries like HuggingFace
• Utilize inference runtimes such as ONNX Runtime, vLLM for efficient execution.
• Optimize batching, caching, and tensor parallelism to improve LLM scalability in real-time applications.
• Develop and maintain high-performance inference pipelines using Docker, Kubernetes, and other inference servers. 

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field.
• Experience in LLM inference deployment, model optimization, and runtime engineering.
• Strong expertise in LLM inference frameworks (PyTorch, ONNX Runtime, vLLM, TensorRT-LLM, DeepSpeed).
• In-depth knowledge of the Python programming language for model integration and performance tuning.
• Strong understanding of high-level model representations and experience implementing framework-level optimizations for Generative AI use cases
• Experience with containerized AI deployments (Docker, Kubernetes, Triton Inference Server, TensorFlow Serving, TorchServe).
• Strong knowledge of LLM memory optimization strategies for long-context applications.
• Experience with real-time LLM applications (chatbots, code generation, retrieval-augmented generation). 

EnchargeAI is an equal employment opportunity employer in the United States.