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Who We're Looking For - The Dream Maker We’re looking for a hands-on Senior BI Analyst to own Chargeflow’s BI layer end to end-turning business questions into trusted metrics, decision-ready dashboards, and proactive monitoring that helps teams move faster with confidence in the numbers. You’ll work across Product, Finance, Operations, and Leadership to define how the company measures performance and ensure that teams rely on consistent, accurate data rather than one-off reports or conflicting spreadsheets. This role is for someone who goes beyond building dashboards: you’ll establish the definitions, models, quality standards, and reusable BI assets that make reliable self-service analytics possible at scale. About Chargeflow Chargeflow is a leading force in fintech innovation, tackling chargeback fraud and the impact it has on online businesses. Born from a deep passion for technology and eCommerce, we’ve developed an AI-driven solution that helps merchants manage credit card disputes, recover lost revenue, and protect their businesses through a unique success-based model. Backed by $49M from Viola Growth, OpenView, Sequoia Capital, and other top-tier global investors, Chargeflow is on a product-led growth journey. We’re a tight-knit team of passionate builders and entrepreneurs, united by our mission to revolutionize eCommerce and protect online businesses from chargeback fraud. What You’ll Own
* Own the company’s BI layer end to end, from translating business questions into metric specifications to delivering trusted dashboards and certified datasets.
* Define, standardize, and document company KPIs, including their logic, grain, filters, ownership, and edge cases.
* Build and maintain accurate, performant dashboards that surface trends, risks, opportunities, and root-cause signals—not just charts.
* Design and maintain a semantic and metrics layer with consistent entities, dimensions, datasets, and business definitions.
* Create a reliable foundation for self-service analytics and LLM-powered exploration of company data.
* Implement data-quality checks, anomaly detection, testing, and alerts to identify issues before they affect business decisions.
* Investigate discrepancies between reports and source systems, identify root causes, and drive issues through resolution.
* Maintain a clear KPI glossary and metrics dictionary, with structured change management and communication.
* Establish and manage a BI intake and prioritization process, communicating tradeoffs, dependencies, and timelines clearly.
* Partner closely with Product, Finance, Operations, and Leadership to understand their goals and translate them into scalable BI solutions.
* Reduce reliance on one-off data pulls by building reusable, certified assets that make future requests faster and more consistent.

abra's Salesforce Division is looking for an experienced Salesforce Implementation Specialist to join our team. We are seeking a skilled Salesforce professional to design and implement business solutions on the Salesforce platform. The role requires hands-on experience in business analysis, system configuration, implementation, and user adoption. Responsibilities
* Analyze business requirements and implement solutions on the Salesforce platform.
* Configure and maintain automations, fields, objects, and reports.
* Train and support end users on new business processes and system capabilities.
* Troubleshoot issues and provide ongoing support to internal users.
* Prepare functional specification and system analysis documentation.

We are looking for a skilled Software Developer with strong hardware knowledge to join our team developing production test solutions for optical transceivers and networking products. Our team builds the software and test infrastructure used on production lines to validate our optical and interconnect products. The work combines instrument automation, low-level software development, and direct control of custom hardware. You will work with optical instruments such as power meters, variable optical attenuators, and laser sources, as well as custom test boards used to control and communicate with the device under test (DUT).

This is a hands-on, technically deep role that spans the entire development lifecycle-from hardware bring-up and debugging to validation, deployment, and production support. As a technical focal point, you will work at the intersection of hardware and software, collaborating with electrical, hardware, thermal, mechanical, and software engineers to deliver robust and scalable test solutions across multiple production lines and products.

What Youll Be Doing:

Design and develop production test systems for optical transceivers, networking hardware, and interconnect products.

Develop software that controls optical test instruments, custom test boards, and other hardware components.

Write low-level drivers and hardware-control software in C and C++, and integrate native code with higher-level C# applications through DLL wrappers.

Read and interpret electrical schematics, block diagrams, datasheets, timing requirements, and hardware specifications.

Lead hardware bring-up, validation, and deployment of test solutions in production environments.

Debug complex hardware-software integration issues using oscilloscopes, logic analyzers, software tools, and hardware communication interfaces such as I2C, SPI, and UART.

Investigate failures, identify root causes, and implement reliable corrective solutions.

Collaborate with cross-functional teams to translate hardware requirements into software interfaces and automated test procedures.

Take technical ownership of projects from initial concept and prototype development through production release and ongoing support.

Improve test coverage, system reliability, maintainability, and scalability across multiple products and production lines.

Our Networking System Product Engineering organization is looking for a Senior Data & AI Solutions Engineer - high-agency, self-directed Data & AI Solutions Engineer to partner with engineering teams and transform data, BI, automation and agentic AI into measurable engineering productivity gains.

What youll be doing:
Work closely with engineers, managers, and cross-functional teams to understand complex engineering domains, identify bottlenecks, and build practical solutions that improve decision-making, execution speed, and operational quality.
Develop and deliver production-grade tools, automated workflows, and agentic AI solutions from concept through deployment.
Run fast, high-quality proof-of-concepts on emerging AI and agentic technologies, and productize successful ones.
Implement data flywheels that continuously improve quality through telemetry, benchmarking, automated evaluation, and structured feedback loops.
Collaborate and contribute ideas and code to Product Engineering's evolving data infrastructure.
Improve data quality, integrity, governance, metric definitions, and usability across engineering domains.
Train and enable engineers, managers, and stakeholders to use data, BI, and AI tools effectively.

We are looking for a highly motivated Architect to join the DSX AIR team to help build our next-generation AI platforms. In this role, you will leverage your extensive expertise in Kubernetes internals, deep networking, and distributed systems to design and scale advanced infrastructure.

What you'll be doing:
The responsibility specifically is for Architecture, infrastructure requirements, and designing highly scalable distributed microservices systems.
Working closely with System Architects, Development and DevOps engineers to conduct comprehensive design reviews, ensuring all technical implementations strictly adhere to the general product architecture.
Maintaining hands-on capabilities to rapidly build, execute, and demonstrate Proof of Concepts (POCs) for new architectural patterns and technologies.
Championing the adoption of additional AI-driven tools and processes to aggressively automate system operations and repetitive workflows wherever possible.
Architecting and developing large-scale systems over k8s, utilizing a deep understanding of its structure to fine-tune performance and stability.
Designing and optimizing deep networking solutions for container/k8s environments
Continuous evaluation of existing system and driving improvements across our platform and AI integration layers.

We are seeking a Network Solution Verification Engineer to join our R&D organization, focused on validating our customer-facing networking solutions at scale using a state-of-the-art End-to-End (E2E) simulation cluster environment.

In this role, you will be a hands-on technical contributor at the intersection of networking, automation, and AI-driven validation - designing and implementing the simulation frameworks, agentic workflows, and regression pipelines that ensure our networking solutions meet the highest standards of quality and real-world applicability before reaching customers.


What you'll be doing:
Designing and implementing end-to-end validation frameworks for our customer-facing networking solutions at scale, leveraging a dedicated E2E simulation cluster environment.
Writing, maintaining, and extending automated test suites and regression pipelines for networking protocols and large-scale simulation runs, ensuring repeatable, high-confidence validation outcomes.
Performing deep regression analysis on simulation results - identifying failure trends, isolating root causes, and delivering clear, actionable findings to architecture and design teams.
Developing agentic AI flows that autonomously perform regression analysis, detect coverage gaps, generate new test cases, and implement validation code - continuously learning from simulation results and product changes to accelerate coverage without manual intervention.
Integrating validation pipelines into CI/CD workflows to enable continuous, automated regression at scale, working closely with DevOps and platform teams.
Collaborating closely with Design, Architecture, and NCS teams to understand solution requirements, translate them into simulation scenarios, and provide early-cycle quality feedback that influences product direction.
Analyzing customer-reported networking issues, mapping them to simulation coverage gaps, and building targeted test cases that prevent regression.
Continuously exploring new simulation technologies, agentic frameworks, and networking standards to evolve and improve the team's validation methodology.

We are looking for a Distinguished Engineer to help shape the future of AI infrastructure. As part of our advanced development and research efforts, you will drive technical vision and innovation across the AI software stack, spanning GPU computing, RDMA, NVLink, storage, and large-scale distributed systems. You will research next-generation system designs, influence product and platform direction, and help define how massive-scale AI environments are built, optimized, and operated through hardware-software co-design.

What youll be doing:

Research, define, and drive co-design solutions across AI software stacks involving GPU computing, RDMA networking, NVLink interconnects, storage, and large-scale distributed infrastructure.

Lead deep technical investigations and proof-of-concept development in areas related to distributed AI, deep learning systems, high-performance computing, virtualization, memory management, and large-scale systems design.

Work closely with multiple teams across us to advance next-generation AI infrastructure technologies and influence cross-stack co-design decisions.

Analyze end-to-end system bottlenecks and opportunities across compute, networking, memory, and storage layers to improve performance, scalability, and efficiency.

Guide the design of environments that support massive-scale AI training and inference workloads in production.

We are hiring a Senior Software Engineer to join the NSV tools group. You will craft high-performing software automation systems used in NVIDIA's Data Center environments. This involves our AI cluster topology generation platform that composes, configures, and validates network infrastructure behind large-scale AI clusters. You will collaborate with NIC, OS, Switch, HCA, CPU, and GPU compute teams, along with architects, network engineers, and developers. We support data growth for the worlds biggest companies. Our worldwide engineers work in a dynamic, meaningful, and fast-paced setting. Are you ready for the challenge?

What you'll be doing:

Build and develop a full-stack automation platform (Python microservices backend, modern web frontend) used to generate, configure, and validate network topologies for AI/HPC data centers.

Implement scalable, reliable, and maintainable services and APIs that turn complex infrastructure requirements into validated, exportable network configurations.

Build and refine intuitive web interfaces that guide users through an interactive, step-by-step topology development workflow.

Collaborate closely with internal and external collaborators to understand requirements and deliver robust full-cycle solutions.

Improve stability and performance across the generation pipeline through architectural improvements and code optimizations.

Troubleshoot issues in distributed, containerized environments and contribute to system observability and reliability improvements.

Work cross-functionally with architects, DevOps engineers, product managers and collaborators to ensure high-quality releases.

Participate in code reviews, technical design discussions, and continuous improvement activities within the team.

We are seeking a highly motivated High-Performance System Architect to join our team of experts and help shape the future of high-performance and ML / AI computing. Our next-generation NVL systems will be at the forefront of connecting and powering the world's most advanced compute clusters, which would be used to train the most advanced AI models such as GPT and DeepSeek. As a high-performance system architect, you will have the opportunity to work on some of the most cutting-edge technology and help to drive the innovation of our next generation networks that will be used by top researchers and engineers around the world.

What youll be doing:

Define the NVL system architecture end-to-end, by internal requirements and customers requirements through all product life cycles (post/pre silicon, on deployments).

Research various of solutions to enable the next large-scale-high-performance computing clusters. The position spans over various layers from algorithms, software, firmware, and HW.

Collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and research teams, to ensure the successful execution of the project.

KMS Lighthouse is seeking an experienced R&D Director to lead our global engineering organization and drive the execution of our technology strategy. This role is responsible for leading multiple engineering teams through experienced managers, scaling engineering excellence, and ensuring the successful delivery of high-quality, enterprise-grade SaaS solutions. The ideal candidate is a strong people leader with extensive experience managing large-scale engineering organizations in a global environment. They will play a key role in accelerating AI adoption across the engineering organization, embedding AI-driven development practices, and leveraging AI technologies to improve productivity, software quality, and innovation.

Responsibilities:

* Lead and scale the global engineering organization through engineering managers, fostering a high-performance culture.
* Define and execute the engineering strategy in alignment with business and product objectives.
* Drive AI adoption across engineering by integrating AI-powered tools and development practices that improve productivity, software quality, and delivery.
* Develop engineering leaders through coaching, mentorship, succession planning, and organizational growth.
* Partner with Product, Architecture, Customer Success, and Executive Leadership to deliver scalable enterprise SaaS solutions.
* Drive engineering excellence by improving development processes, operational efficiency, quality, and execution.
* Oversee planning, prioritization, resource allocation, and execution across multiple engineering initiatives.
* Stay ahead of emerging technologies and industry trends to ensure continuous innovation.

In this role, you will be responsible for developing and optimizing the network simulation service. You will enhance the simulator performance and quality and scale it to support massive loads, additional clients and unique use cases. You will work on integrating this infrastructure with cloud computation services and ensure the simulation is available as a service for AI agents and internal customers. If you're passionate about tackling intricate challenges and contributing to comprehensive software solutions, we want to hear from you.

 
What you'll be doing:

Design and develop simulation capabilities, integrating internal and external libraries and maintaining a clean, scalable architecture for a complex SW project.

Expand the simulation versatility to accommodate advanced use cases and bleeding-edge requirements. Provide innovative solutions to scalability and fidelity trade offs of the simulator.

Improve the quality of the simulation as a software product, ensuring robustness and reliability.

Expose the simulation as a service to facilitate easier access for different stakeholders.

Enhance simulation runtime and memory consumption through creative optimization techniques.

Integrate a new simulation management system, making simulated experiments data accessible to all users.

Collaborate with DevOps engineers to develop our CI/CD infrastructure for the networking simulation service, ensuring efficient deployment and smooth integration processes.