We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems.  Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.

Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. 

Responsibilities:

• Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
• Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
• This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
• Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
• Navigate competitive objection handling
• Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
• Create assets to explain features of our quantum applications and other IonQ quantum products.
• Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
• Lead client discovery sessions for business-oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team
• Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
• Attend industry conferences, as needed, to talk to client and support our booth activities.
• Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities.
• This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always come first.

You’d be a good fit with:

• 5 years of experience in technical customer-facing roles or equivalent capacity.  The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer facings skills are critical.
• Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering
• Motivated learner with a strong interest in quantum computing.

You’d be a great fit with: 

• Masters or PhD in a STEM field, perhaps adjacent to quantum computing.
• Time on the customer side in various verticals included leadership roles - this provides customer empathy
• Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
• Proficient in Python and Jupyter Notebooks.
• Expert architecture skills across various technologies (“full stack skills”)
• Experience leading technical events.

Location: This position requires candidates to be based in the Nordics (Denmark, Finland, Iceland, Norway or Sweden).
Travel: 20% travel domestically and globally
Job ID: 1375

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.

About Armada

Armada delivers sovereign, industrial-grade AI infrastructure designed to operate where traditional cloud and centralized data center models fall short. Our platform includes Atlas as the control plane, Galleon modular edge data centers powered by the Armada Edge Platform, and Leviathan, Armada’s AI Factory, which partners with Bridge, our GPU-as-a-Service offering. Together, these capabilities enable enterprises and governments to deploy, operate, and scale AI workloads securely, efficiently, and close to where data is generated.

The ND8 region represents a strategically important market for Armada. Customers here are technically sophisticated, highly security-conscious, and often operate across multiple countries with strong expectations around data residency, sustainability, and operational excellence. Armada’s success in ND8 depends on senior engineers who can both execute deeply technical deployments and maintain long-term customer ownership.

Role Overview

The Senior Forward Deploy Engineer for ND8 is a hybrid role responsible for hands-on deployment execution and ongoing technical account ownership across the Nordic region. This role combines the execution depth of a Forward Deploy Engineer with the long-term ownership and customer leadership of a Technical Account Manager.

In the early phases of engagement, the Senior FDE leads platform bring-up, deployment execution, and initial workload onboarding. Once customers are live, the same engineer remains the primary technical owner, driving adoption, operational maturity, reliability, and expansion across multiple countries and sites.

This role reports into the Sr. Director of Customer Success & Delivery, EMEA & ANZ and is intentionally designed to avoid fragmented ownership between deployment and post-sale success. Success is measured by deployment quality, speed to production, customer confidence, platform adoption, retention, and expansion.

Key Responsibilities

Deployment execution and platform bring-up

• Lead end-to-end deployment of Armada platforms including Atlas, Galleon with AEP, and Leviathan AI Factory integrated with Bridge GPU-as-a-Service
• Execute deployments across the ND8 region, including multi-country and multi-site environments
• Own infrastructure bring-up, platform configuration, and production readiness validation
• Make real-time technical decisions across hardware, networking, Kubernetes, storage, and GPU layers

Technical account ownership and customer success

• Serve as the primary technical point of contact for assigned ND8 customers post go-live
• Own the technical success plan, adoption milestones, and operational maturity roadmap
• Build trusted, long-term relationships with customer engineering, platform, security, and data teams
• Lead technical governance discussions, roadmap planning, and platform optimization conversations

Joint Success Plan ownership

• Build, maintain, and actively drive Joint Success Plans (JSPs) for each assigned customer
• Align deployment milestones, platform adoption, and operational maturity to customer business objectives
• Use the Joint Success Plan as the primary framework for prioritization, execution, risk management, and value tracking
• Regularly review progress against success plans with customer stakeholders and Armada leadership
• Ensure JSPs inform deployment sequencing, adoption strategy, roadmap discussions, and expansion planning
• Surface risks, dependencies, and blockers early and drive resolution with clear ownership

Time-to-value acceleration and adoption

• Reduce time-to-try and time-to-value by unblocking workloads and accelerating early production use cases
• Drive adoption across new workloads, business units, and countries
• Identify expansion opportunities including additional Galleon deployments and Leviathan AI Factory capacity through Bridge GPUaaS

Operational excellence and reliability

• Ensure customer environments remain stable, secure, and production-ready
• Proactively identify scaling risks, architectural gaps, and technical debt
• Coordinate with Product, Engineering, and Support teams to resolve issues efficiently

Data residency, security, and regulatory execution

• Operate confidently within ND8 data residency, privacy, and security expectations including GDPR-aligned requirements
• Support customer security reviews, audits, and governance processes
• Balance global delivery standards with local regulatory nuance and customer expectations
• Maintain disciplined access control, documentation, and operational hygiene

Field leadership and mentorship

• Act as a senior technical presence for ND8 customers, setting the bar for execution and professionalism
• Mentor junior FDEs, TAMs, and delivery engineers as the region scales
• Contribute to deployment standards, runbooks, and repeatable best practices

Cross-functional collaboration

• Partner closely with the Sr. Director of Customer Success & Delivery, EMEA & ANZ on NB8 priorities and escalations
• Work with Sales on expansion planning while maintaining a trusted post-sale posture
• Provide structured feedback to Product and Engineering teams based on real-world ND8 customer usage

Qualifications and Experience

• 8+ years of experience in infrastructure, platform engineering, SRE, forward-deployed engineering, or technical account roles
• Proven ability to own both hands-on delivery and long-term customer technical relationships
• Deep technical expertise across Linux, networking, Kubernetes, storage, and GPU-accelerated compute
• Strong troubleshooting skills in live, production environments
• Experience supporting customers across multiple European countries
• Willingness to travel within the ND8 region as required
• Clear, confident communication style suited for executive and senior engineering audiences

Preferred Experience

• Experience with edge compute, modular data centers, or distributed infrastructure
• Familiarity with AI workloads, GPU clusters, and high-performance computing environments
• Exposure to regulated, sovereign, or government-adjacent environments
• Experience operating in Nordic or EU-regulated markets
• Comfort operating with ambiguity and owning outcomes end to end

What Success Looks Like

• ND8 customer environments reach production quickly and operate reliably
• The same engineer who deploys the platform remains the trusted technical owner long-term
• Adoption expands across workloads, sites, and countries without handoff friction
• Customers view Armada as a strategic AI infrastructure partner due to consistent technical ownership
  
  

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.

What we’re all about:

Any company can tell you about how they are a multi award winning, market leading business and yes, we are both of those things in the world of IoT connectivity!  But we’re more than that. 🌍✨ Our mission? To make IoT management a breeze for any device, anywhere. With over 10 million IoT subscriptions active in 165 countries and direct partnerships with 50 mobile networks, we connect you to more than 750 networks worldwide, delivering unmatched value across the IoT connectivity chain.

Innovation is in our DNA, and we have an insatiable hunger to ‘wow’! 🚀 While we may not always get it right, our drive to collaborate, innovate, and achieve top-notch customer satisfaction never wavers. We offer industry expertise, stellar service support, and the most flexible, resilient, and secure connectivity solutions on the market. Our expertise spans across various sectors, including industry, agriculture, healthcare, security, transport, utilities, and smart cities.

IoT… a fancy acronym or a secret code?

The Internet of Things (IoT) is like the magical glue that keeps the world connected! 🌐✨ From ordering your favourite takeaway to the ANPR technology that helps you find a parking spot, IoT is everywhere—even if you don’t realize it. At Wireless Logic, we provide cutting-edge connectivity solutions and technologies to ensure a vast array of devices stay seamlessly connected.

IP Network Engineer – Com4

About Us

Com4 is a leading global service provider in the Internet of Things (IoT), also known as “Machine to Machine” (M2M). We offer mobile data subscriptions tailored to our customers' applications in their connected devices and equipment. This connectivity enables innovative solutions across many sectors, such as energy, security, transport, and welfare technologies.

Com4 is a significant player in the Norwegian telecom market, with a 50% market share in the IoT segment. Through roaming agreements, we offer IoT communication on 2G/3G/4G/5G across 700 networks globally. As a Mobile Virtual Network Operator (MVNO), Com4 has its own mobile core network and a portfolio of Business Support Systems (BSS) and Operational Support Systems (OSS).

A central element of our core network is our IP/MPLS network, which connects network elements across our various data centers and forms the interface toward our customers and partners/providers of peering, IP Transit, and IPX/GRX. We have solutions for several VPN variants adapted for business customers with dedicated APNs and diverse communication needs. We make extensive use of MPLS in both IP and mobile network elements for efficient service production. FW and NAT solutions are important security elements in our design. The services we produce meet high requirements for uptime, and solution flexibility is a central part of the offering we provide to customers. Moving forward, the network is being further developed to support 5G SA mobile services, scale, and increase the degree of automation.

About the Role

As an IP Network Engineer, you will develop and operate a modern network based on IP/BGP/MPLS/OSPF protocols. You will join our team of highly skilled engineers responsible for both IP and IT operations, where you will be one of three dedicated specialists focusing specifically on the IP domain. We are seeking someone with the competence and commitment to ensure a scalable and flexible IP network with high uptime. The role also involves providing technical customer support and guidance for IPsec implementations, ensuring secure and reliable connectivity for our clients, and implementing automation practices around these technologies.

We will consider both senior candidates with extensive experience and juniors with shorter experience, and can adapt tasks and responsibilities in line with the candidate's profile.

We are looking for someone who is solution-oriented and fearless when facing complicated tasks. We value good cooperation and communication skills, while it is also crucial to work independently and proactively within your own field of expertise.

To further strengthen our technical team, we are looking for an IP Network Engineer who has competence or experience in several of the following areas, as well as an interest in learning more:

• Experience with development and/or operation of networks—preferably from an ISP, MNO/MVNO, or similar consultancy.
• IP/MPLS network protocols (IP, OSPF, IS-IS, MPLS, BGP, VPN, L2TP).
• Technical support and implementation of IPsec VPN solutions for customers.
• Knowledge of or experience with Private Cloud and virtualization platforms, specifically OpenStack and Red Hat OpenShift (Kubernetes).
• Firewall and NAT implementations.
• OSS tools for logging and network monitoring such as NetFlow, Icinga, Splunk, Grafana, Telegraf.
• Network systems and protocols such as DNS, NTP, DHCP, RADIUS, SMTP, SNMP, Streaming Telemetry, BMP, BGP-LS.
• Advantageous with knowledge of APN/VPN application in mobile operations.
• Security architecture and experience with network segregation and micro-segmentation.
• Advantageous with an interest in and knowledge of network automation and the use of Infrastructure-as-Code tools like Ansible and Terraform.
• Certifications such as CCNA, CCNP, CCIE, or equivalent are a plus.
• Advantageous with general IT competence, such as basic IT system operations, scripting, and simple programming.

We Offer

Com4 is a highly attractive workplace. We have a flexible and growth-oriented entrepreneurial culture, while offering security and competitive terms. We have an excellent working environment—here you will find pleasant and competent colleagues in a team that helps each other and works together as one. We place great emphasis on the social aspect, including regular events and celebration of successes with company trips, etc. We offer state-of-the-art premises in the tech hub that has emerged at Løren/Hasle-Linje. We expect independence and commitment from you, and in return offer flexibility regarding home office and the choice of work tools that suit you.

About the Employer

Com4 is a mobile operator offering communication services for the growth market of the Internet of Things (IoT). Com4 is a company based in Oslo with solid finances after many years as a market winner in Norway. Our owner is the Wireless Logic Group in the UK, a recognized leader in the Managed IoT industry globally, with 12 million SIMs worldwide and operations in more than 10 countries. 

#LI-Hybrid
#LI-CC1

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.

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.