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Were looking for a hands-on Devops Team Lead to build, manage, and scale a high-impact DevOps team. Youll lead infrastructure strategy, promote DevOps excellence, and drive automation and platform reliability across the organization. This role combines technical leadership with team development and operational ownership.
Your Responsibilities & Impact:
Lead and mentor a team of 5 DevOps engineers.
Own the impact of our infrastructure on success by providing engineering autonomy.
Foster a culture of ownership, learning, and continuous improvement.
Grow and structure the team to support expanding infrastructure and business needs.
Infrastructure & Platform Ownership:
Own and evolve scalable, secure, and observable cloud architecture (with a focus on AWS).
Leverage Kubernetes (EKS), Terraform, and GitOps to maintain reproducible infrastructure.
Proactively identify needs that align with the product and business goals.
Take the lead on production issues, ensuring availability and timely response.
Improve CI/CD processes, developer experience, and automation pipelines.
Lead strategic projects to modernize infrastructure, adopt new technologies, and improve stability.
Proactively drive retrospectives, platform upgrades, and systemic reliability improvements.
Monitor infrastructure health, optimize cloud costs, and track infrastructure KPIs.
Deeply understand system complexity and internal service dependencies.
Partner with Security to maintain compliance (SOC 2, access control, audits).
Hands-On Execution - Actively contribute to the design and implementation.

Required Data Team Lead
What Youll Do:
As the Team Lead of the Account Management squad, you will guide a multidisciplinary team of backend and data engineers responsible for some of our most critical financial operations. Your mission is to build and scale the systems that keep our loan and card processes accurate, transparent, and resilient while fostering a culture of collaboration, ownership, and technical excellence within the squad.
In this role, youll not only manage talented engineers but also work closely with finance, risk, product, and compliance stakeholders to ensure our technology delivers real business impact. Your teams scope includes payment allocation, disbursement management, and the delivery of loan and card performance data products that support both internal decision-making and external reporting across regulators, partners, and investors.
Key Responsibilities
Lead, mentor, and inspire a high-performing squad of backend and data engineers.
Own and evolve our loan account management systems and data products.
Ensure accuracy and automation in payment allocation and manage disbursement flows.
Deliver high-quality Loan Performance and Card Performance data products used across internal operations, executive dashboards, and external reporting.
Build scalable, reliable systems that support high transaction volumes with full financial integrity.
Partner with finance, risk, product, and compliance to align technology with business goals.

Required Data Infrastructure Engineer
What Youll Do:
Design, implement, and enhance robust and scalable infrastructure that enables efficient deployment, monitoring, and management of machine learning models in production. In this role, you will bridge the gap between research and production environments, streamline data and feature pipelines, optimize model serving, and ensure governance and reproducibility across our ML lifecycle.
Responsibilities:
Decouple data prep from model training to accelerate experimentation and deployment
Build efficient data workflows with versioning, lineage, and optimized resource use (e.g., Snowflake, Dask, Airflow)
Develop reproducible training pipelines with MLflow, supporting GPU and distributed training
Automate and standardize model deployment with pre-deployment testing (E2E, dark mode)
Maintain a model repository with traceability, governance, and consistent metadata
Monitor model performance, detect drift, and trigger alerts across the ML lifecycle
Enable model comparison with A/B testing and continuous validation
Support infrastructure for deploying LLMs, embeddings, and advanced ML use cases
Manage a unified feature store with history, drift detection, and centralized feature/label tracking
Establish a single source of truth for features across research and production across research and production.

We are seeking an AI/ML Lead Engineer to join our R&D division and drive the adoption of advanced machine learning and AI solutions across our financial and operational domains. In this role, you will design and implement intelligent models that increase efficiency in collections and payments processing and build AI-driven tools that enhance call center performance and agent productivity.
We are looking for a hands-on, independent team player with strong foundations in data science, computer science, and backend engineering, combined with excellent analytical and algorithmic skills. This role is diverse and impactful, spanning machine learning development, data analysis, and backend engineering, with the opportunity to shape our AI/ML strategy for servicing and operations.
As part of the R&D group, you will work closely with engineers and product managers, leading and implementing AI/ML initiatives that directly align with our business goals and innovation vision.
Key Responsibilities
Lead the design, development, and deployment of ML models to optimize collections and payments processing.
Develop and integrate AI-driven tools to improve call center efficiency and agent productivity.
Collaborate cross-functionally with engineers, product managers, and stakeholders to translate business needs into technical solutions.
Drive data analysis and modeling efforts, leveraging advanced algorithms to uncover insights and improve decision-making.
Ensure scalability, quality, and compliance of all AI/ML solutions within the financial and servicing domains.
Stay up to date with emerging AI/ML technologies and assess their potential impact on the companys strategy.
Mentor and guide team members, fostering knowledge-sharing and technical excellence.

We are looking for a highly motivated and experienced Software QA Engineer to join our Firmware QA Team. Quality is an integral aspect of our products, and as a Firmware QA Engineer you will have a significant impact in helping us to deliver our products to customers in a fast paced and constantly evolving environment. You will bring your upbeat personality with excellent communication skills, attention to detail, and real passion for a positive user experience.

What Youll Be Doing:

In the position of Senior QA Software Engineer, you will have a key role in assuring our products meet high-quality standards! Your tasks will consist of:

Collaborating on projects involving ITU-T standards like G.8273.2 Class-C/D Boundary Clocks.

Applying your deep knowledge of communication network standards to validate and improve product quality.

Testing and verifying clock synchronization protocols, including Synchronous Ethernet (SyncE) and Precision Time Protocol (PTP).

Defining and implementing test topologies and setups to ensure comprehensive product coverage.

Participating in requirements, build, and feature reviews, providing QA insights and feedback.

Engaging with customers, presenting solutions, assisting in debugging on customer environments, and supporting integration efforts.

Staying up-to-date with emerging networking standards, features, and technologies to continually expand QA coverage.

Implementing and composing manual and automated firmware and system-level tests in a Linux environment.

We are now looking for a Chip Design Verification Engineer. We are seeking a verification engineer to join the chip design methodologies team. The team is in charge of the verification methodologies, shared code, training, and embracing new technologies. One of our main goals is to make sure that the team works in an efficient manner, and provides high-quality deliveries. This position offers the opportunity to have real impact in a dynamic, technology-focused company.

What you'll be doing:

Develop shared verification code and solutions to be widely used by the chip design team.

Develop groundbreaking methodologies to create a flawless experience for verification engineers to keep the focus on new problems.

Collaborate with the design automation team to provide end-to-end solutions that combine verification, simulation, and automation.

Get in touch with EDA vendors to learn about cutting-edge tools/technology and apply them into our verification process.

Understand the design, define the verification scope, develop the verification infrastructure and verify the correctness of the design.

Collaborate with designers, verification specialists to accomplish your tasks.

Develop training sessions.

We are looking for best-in-class STA Physical Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company.


What you will be doing:

STA analysis of blocks/top-level according to specifications under challenging constraints targeting for the best power, area, and performance.

Be exposed and work on a variety of challenging designs (including high cell count and HS blocks). Resolving complex timing and congestion problems.

Daily work involves all aspects of static timing analysis - constraints, environment, models generation and timing ECO generation for block level and full chip level.

Taking part inflows development.

We have been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technologyand amazing people. Today, were tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing whats never been done before takes vision, innovation, and the worlds best talent. Youll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are in need of skilled engineers to join our autonomous driving team to invent, execute, and deploy pioneering end-to-end autonomous driving systems. Our strategy has progressed from AI 1.0 constructing a driver from the ground up to AI 2.0 training an intelligent agent to drive. This is achieved by developing LLMs, VLMs, and VLAs to offer exceptional reasoning, planning capabilities, and interaction with the driving system for autonomous driving and general robotics. Lets innovate the future of autonomytogether!

What you will be doing:

Build and train innovative large-scale modelsincluding generative, imitation, and reinforcement learningto improve the planning and reasoning capabilities of our driving systems.

Explore novel data generation and collection strategies to improve diversity and quality of training datasets. Develop, pre-train, and optimize LLM/VLM/VLA models for autonomous driving and robotics applications.

Collaborate cross-functionally to deploy and integrate AI models into vehicle firmware.

Deliver production-quality, safety-critical software that meets performance, safety, and reliability standards.

Our Networking Business Unit is looking for an experienced and hardworking IT Lab Operations Engineer. We are looking for service-oriented professional team player that also able to work independently to provide best in class support for R&D needs in multi-national organization. The one to embrace the challenges and solve complex hardware and software issues.

What youll be doing:

Take part in support of developers teams' equipment, maintain existing physical and virtual servers and switches in different labs in multiple locations.

Rack and stack new hardware and software, make configurations according to the processes, while maintain equipment management and knowledgebase systems.

Work closely and directly with engineering teams and resolve IT related issues, collaborate with other teams (IT / facilities / operations).

Collect the demands for new hardware from the customers, take part in purchasing / budgeting activities.

Use and improve existing workflows.

Strive for maximum equipment utilization in labs and plan the infrastructure needs for future.

This is an outstanding opportunity to join our high performance multi-site team and to work on some of the most pioneering technologies, implement and lead cutting-edge networking features for cloud, HPC and AI networks. We drive the data growth of the worlds biggest companies. With talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced.

What youll be doing:

Develop first tier features, with groundbreaking multi-protocol networking technology.

Lead features from planning through design and development, until delivery to the customer.

Work closely with other development teams, arch and verification to ensure features delivery on time with high quality.

Gain deep understanding of our products and technologies.

We are looking for an excellent DevOps Engineer to join the Switch and Firmware DevOps team and make a wide impact on the company products and teams worldwide. The role includes the development of cutting-edge design automation tools, build systems, private cloud and continuous integration systems. With your help, our supportive and friendly team will be able to focus on more exciting programming tasks, better serving the needs of our customers through new and improved CI processes. We work in a dynamic environment where multiple projects will be active at once and priorities may shift frequently. We are looking for hardworking engineers who arent afraid of taking up new technologies, processes, and tools to make constant improvement in the automation infrastructure. The engineer will collaborate closely with our software developers as well as performance analysts to build and improve the world-class automation infrastructure.

What youll be doing:
Design, develop and support CI processes of various products.
Collaborate with various teams across the globe to promote and improve CI practices.
Build infrastructure for effective, high quality, reliable development and release processes.
Be a part of an experienced team with a great atmosphere.

We are building state-of-the-art accelerated computing platforms that know no boundaries. Our next-generation Infiniband, NVLink, and Ethernet systems will continue to be at the forefront of connecting and powering the world's most advanced AI clusters. We are looking for a highly motivated and experienced SW networking senior software engineer to join our SAI development team.

This is an outstanding opportunity to join our high performance multi-site team and to work on some of the most pioneering technologies, implement and lead cutting-edge networking features for cloud, HPC and AI networks. We drive the data growth of the worlds biggest companies. With talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced.

What youll be doing:

Develop first tier features, with groundbreaking multi-protocol networking technology.

Lead features from planning through design and development, until delivery to the customer.

Work closely with other development teams, arch and verification to ensure features delivery on time with high quality.

Gain deep understanding of our products and technologies.

We are looking for Product/ Critical Component Engineer. The position will have responsibility to enhance our growing field of high speed optical Interconnect products performance, cost and quality aspects.

What you'll be doing:

The candidate will be responsible for Critical component evaluation and introduction to our interconnect products.

The candidate will work with design, HW and process groups to improve or resolve critical components aspects.

New critical component Qualification and Reliability assessment.

Evaluate High speed performance and margins of the critical component.

Run DOEs and corners samples analysis to evaluate system level performance under different use scenarios.

Set automation tools and monitors to control critical components introduction to the manufacturing line.

Implement new screening methodologies to ensure MLNX quality standards.

Investigation of reliability issues at the CM and Customers sites.