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our company has evolved ai infrastructure by merging gpu virtualization with kubernetes-native capabilities. our world class ai platform allows organizations to improve productivity and efficiency for data scientists and Machine Learning engineers. with deep kubernetes expertise and a focus on innovation, we are dedicated to developing cutting-edge technologies, delivering the best User Experience for our customers, and providing deep visibility into workload performance through rich metrics that help users optimize their ai workloads. we are looking for highly skilled software engineers to join our platform group and help shape the future of ai infrastructure.
the role of a senior software engineer in the platform group is to design and develop scalable, high-performance systems that support the next generation of ai workloads. you will collaborate with experts across domains, tackle complex challenges, and drive innovations that empower our users to push the limits of ai capabilities.
what youll be doing:
designing and developing enterprise-grade systems with a strong focus on scalability, reliability, and performance.
building and optimizing microservices-based architectures using kubernetes and cloud-native technologies.
collaborating closely with backend engineers, product managers, and other collaborators to deliver impactful solutions.
writing clean, maintainable, and testable code in go
conducting code and design reviews to uphold high-quality standards and mentor team members.

we are looking for an excellent highly motivated senior SW engineer with experience in Embedded software development to join the software testing team in the data processing unit (dpu) sw group. we are looking for a candidate with the ability to thrive in an environment with complex software and hardware designs, take ownership and lead the sw testing of key components of the dpu. the role includes working closely with hw, fw, and sw teams all over the world, and take our product to next level. 
what youll be doing:
build automated verification environment for high-end hardware and software which is at the forefront of innovation
develop and maintain TEST automation frameworks and scripts using Python
identify, analyze, and report software defects, inconsistencies, and other quality issues
make better product quality by improving tests coverage
take an active part in development, integration and verification with r&d
drive improvements for performance, quality, stability around sw acceleration solutions
stay up to date with industry best practices, new technologies, and emerging trends in software verification

Welcome to Chargeflow Chargeflow is building the operating system for chargeback management. We help merchants automatically fight and recover disputed payments, reducing revenue loss and operational overhead. Our platform processes large volumes of payment and dispute data across merchants, payment processors, and financial systems. As Chargeflow scales its platform and customer base, data becomes one of the company’s most strategic assets - powering better products, smarter decisions, and operational efficiency.
Who We're Looking For - The Dream Maker We are looking for a Head of Data Analytics to build and lead the company’s data platform and data strategy. The Head of Data will own Chargeflow’s entire data platform, research, and data strategy This includes building the data infrastructure that powers the company, establishing reliable company-wide metrics, enabling data-driven decision making, and turning Chargeflow’s dispute and payments data into a long-term product advantage. This is a foundational leadership role responsible for making data a core capability across the organization. The Head of Data Analytics will work closely with Product, Engineering, Operations, and Leadership to ensure data becomes a central part of how the company builds products and runs the business. ?Your Arena ?Data Platform and Architecture - Design and lead the development of Chargeflow’s modern data infrastructure:
* Building scalable data pipelines across product, payments, disputes, and internal systems
* Developing a centralized data warehouse as the company’s single source of truth
* Ensuring data quality, reliability, and observability
* Establishing data governance and best practices Company Metrics and Decision Intelligence - Define and standardize the core metrics used across the company:
* Establishing a consistent metrics framework across product, revenue, and operations
* Building dashboards used by leadership and operational teams
* Ensuring reliable and accessible reporting across the organization
* Supporting data-driven decision making at the leadership level Product Data and Insights - Partner with Product and Engineering to leverage Chargeflow’s unique dispute and payment data:
* Identifying patterns and insights across disputes and recovery performance
* Enabling data-driven product development
* Supporting predictive capabilities and automation in dispute management
* Helping build product features powered by data insights Operational Intelligence - Provide visibility and insights into dispute operations and business performance:
* Building operational analytics dashboards
* Supporting forecasting and capacity planning
* Identifying automation opportunities
* Improving operational performance through data insights Building the Data Organization - Build and lead the company’s data team:
* Hiring and managing data engineers, analytics engineers, and analysts
* Establishing strong data culture and best practices
* Enabling teams across the company to use data effectively
* Ensuring data privacy, security, and governance standards What Success Looks Like - Within the first 12–18 months:
* Chargeflow operates from a trusted company-wide data platform
* Leadership and teams rely on consistent and reliable metrics
* Product teams leverage dispute data to build data-powered features
* Operational performance becomes clearly measurable and optimized
* A strong Data organization is established and growing

we have evolved ai infrastructure by merging gpu virtualization with kubernetes-native capabilities. our world class ai platform allows organizations to improve productivity and efficiency for data scientists and Machine Learning engineers. with deep kubernetes expertise and a focus on innovation, we are dedicated to developing groundbreaking technologies. we deliver the best User Experience for our customers and provide detailed access to workload performance through rich metrics. these metrics help users optimize their ai workloads. we are looking for highly skilled DevOps engineers to join our infrastructure group and help shape the future of ai infrastructure.
what you'll be doing: take full end-to-end ownership of our cloud infrastructure, spanning development environments to production systems across various cloud platforms.
compose, build, and develop the architecture of run:ai cloud-native products for a variety of complex customer environments, including on-premise, and cloud
identify and fix production issues while addressing performance challenges to ensure our systems operate flawlessly.
collaborate closely with cross-functional groups to provide architectural and infrastructure input that builds product direction and composition.
partner with r&d, customer success, Professional Services, and pre-sales teams.
continuously evaluate and implement new tools and technologies to improve our release and product deployment processes.

our company has been defining computer graphics, pc gaming, and accelerated computing for more than 25 years. with an outstanding legacy of innovation, driven by phenomenal technology, and extraordinary people, we are looking for a strong technical dev platform engineer to join us in shaping the future of software development. platform engineers are builders who turn strategy into daily tooling. their expertise is practical and broad. they are hands on, producing reliable infrastructure that teams depend on every day.
as a senior dev platform engineer in the ai-native development team, you will build the infrastructure that enables ai-assisted software development at scale. this includes process workflow automation, multi-agent collaboration platforms, ai-powered review pipelines, and integrations with enterprise tools. you will work closely with development teams to understand friction points and translate them into robust, Developer -friendly tooling.
what you'll be doing:
build and extend process workflow automation tools - managing the pipeline from specification to merge, enforcing review gates per risk level.
design and implement multi-agent collaboration infrastructure - enabling multiple ai agents and humans to work on the same project with isolation, shared state, and handoff protocols.
build ai-powered review orchestration - deploying parallel expert reviewers with domain-specific configurations.
integrate ai development workflows with enterprise tools (issue trackers, source control, ci/cd pipelines) - auto-status updates, ai agent assignment, work breakdown.
develop markdown-based documentation workflows with review plugins.
rapidly iterate on tooling based on direct feedback from development teams.

our company networking is looking for an excellent Software manager to work on our cloud platforms based on kubernetes. we are seeking an experienced manager who is deeply technical, hands-on, and has a wide system view. you will manage a team of experts, design & build complex cloud systems based on our superior connectx and bluefield nics and spectrumx ai platform. we want to grow our teams with the smartest people in the world. if you're creative and autonomous, we want to hear from you!
what you'll be doing:
lead distributed team of software developers
take end-to-end responsibility for major features
hands-on involvement in coding, debugging software
our company is widely considered to be one of the technology worlds most desirable employers. we have some of the most forward-thinking and hardworking people in the world working for us. if you're creative and autonomous, we want to hear from you! our company is committed to fostering a diverse work environment and proud to be an equal opportunity employer. as we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are looking for an experienced DevOps Team leader to join our growing R&D department of the DatAdvantage Cloud. We are looking for someone who treats our internal infrastructure, CI/CD pipelines, and Kubernetes clusters as actual products. This means caring about the developer experience and ensuring that the tools we build are intuitive, reliable, and that they solve real problems for our R&D teams.
In this managerial role, you will lead a team of experienced DevOps engineers responsible for various aspects of our cloud platform.
Responsibilities:
Lead and mentor a growing team of highly skilled cloud DevOps engineers
Full responsibility on a scrum team, including hiring and mentoring of new team members.
Collaborate with various engineering teams on designing and implementing new features for our cloud platform.
Oversee the implementation of applications, integrations, and interfaces across our web ecosystem.
Fully automate critical system processes to improve service performance, monitoring, scalability, and overall stability of our cloud platform.
Refine our continuous integration/continuous delivery (CI/CD) process to streamline deployment and product release cycles.
Roll out a standardized approach to cloud security.
Act as a Cloud Solution Architect for our R&D department, and as an expert consultant on cloud-native architectures that consider product architecture, business needs, security, and FinOps.

We are seeking a highly skilled Senior Backend Engineer to join our expanding DatAdvantage Cloud team.
Suppose you have strong programming expertise, experience building large-scale cloud systems, a passion for developing applications using AI-driven tools, and enthusiasm to transform platform into a scalable, resilient powerhouse serving multiple applications and customers worldwide. In that case, wed love to meet you.
Responsibilities
Lead and participate in the full application lifecycle - from product requirements through architecture, coding, and monitoring.
Develop clean, maintainable code for large-scale, functional applications.
Troubleshoot and debug complex applications.
Leverage cutting-edge technologies, including AI tools, to modernize and enhance applications.
Constantly thrive to improve existing platform and applications
Design and build scalable, resistant and fault-tolerant cloud services.

our company is a global leader in control systems for computing, a field on the verge of exponential growth. our innovative hardware and software mark a groundbreaking approach in our computer control, scaling from individual qubits to expansive arrays of thousands.
at the core of qm lies a passionate and ambitious team committed to reshaping the construction and operation of our computers. our work is fueled by a deep understanding of customer needs, driving us to deliver unparalleled solutions in this revolutionary field.
we are looking for a Verification engineer who embodies ambition and positivity, who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfil the evolving needs of our expanding customer base.
the Verification engineer we look for will be a highly talented and motivated person, who is a real team player and can collaborate closely with engineers from other disciplines and our physicists.
responsibilities:
practicing the full range of verification aspects
creating a verification environment from scratch (drivers, monitors, coverage...)
vip (ddr/pcie/axi) integration
defining verification sequences via a complex control-flow constraint set
system understanding of a Full-Stack product with strong hw-sw coupling
reference model integration
TEST plan definition
defining verification flows and creating the proper infrastructure to support it

our company is a global leader in hybrid control systems for our computing, a field on the verge of exponential growth.
our innovative hardware and software offer a groundbreaking approach to controlling our computers, scaling from individual qubits to arrays of thousands.
at the heart of qm is a passionate, ambitious team committed to transforming the construction and operation of our computers. our deep understanding of customer needs drives us to deliver unmatched solutions in this revolutionary field.
we are looking for a highly experienced a hands-on software infrastructure engineer who embodies ambition and positivity.
someone who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfill the evolving needs of our expanding customer base.
responsibilities:
creating innovative infrastructure to help with modernizing coding, processes, and workflows.
drive adoption of ai capabilities across chip design, verification and software teams.
partner with engineering teams to deliver high-quality software infrastructure for development in a complex hardware-software system.
design and maintain multi-language code generation systems.
evaluate and integrate new technologies to enhance Developer workflows.

our company is a global leader in control systems for our computing, a field on the verge of exponential growth. our innovative hardware and software mark a groundbreaking approach in our computer control, scaling from individual qubits to expansive arrays of thousands.
at the core of qm lies a passionate and ambitious team committed to reshaping the construction and operation of our computers. our work is fueled by a deep understanding of customer needs, driving us to deliver unparalleled solutions in this revolutionary field.
we are looking for a Verification engineer who embodies ambition and positivity, who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfil the evolving needs of our expanding customer base.
the Verification engineer we look for will be a highly talented and motivated person, who is a real team player and can collaborate closely with engineers from other disciplines and our physicists.
responsibilities:
practicing the full range of verification aspects
creating a verification environment from scratch (drivers, monitors, coverage...)
vip (ddr/pcie/axi) integration
defining verification sequences via a complex control-flow constraint set
system understanding of a Full-Stack product with strong hw-sw coupling
reference model integration
TEST plan definition
defining verification flows and creating the proper infrastructure to support it

description
we are a global leader in control systems for quantum computing, a field on the verge of exponential growth.
our innovative hardware and software mark a groundbreaking approach in quantum computer control, scaling from individual qubits to expansive arrays of thousands.
at the core of our company lies a passionate and ambitious team committed to reshaping the construction and operation of quantum computers. our work is fueled by a deep understanding of customer needs, driving us to deliver unparalleled solutions in this revolutionary field.
we are looking for an experienced Front-End team leader to lead the design and development of the companys user-facing software systems. this is a unique opportunity to combine hands-on technical leadership with people leadership, working closely with product, UX, and backend teams to build sophisticated, high-impact user interfaces for cutting-edge quantum computing platforms.
join us in this exciting journey to redefine the future of quantum computing.
responsibilities
lead and mentor a global team of Front-End engineers, fostering technical excellence and growth.
own the Front-End architecture and technical vision of complex web applications.
design and implement scalable, high-performance, and maintainable UI solutions.
collaborate closely with backend, product, UX, and system engineers to deliver end-to-end features which are perfectly adapted to the needs of the quantum computing audience.
drive best practices in code quality, testing, performance, and accessibility.
take part in hands-on development alongside the team.
lead design reviews, code reviews, and technical decision-making.
execute in a fast-paced, evolving environment with high technical complexity.