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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.

The financial risk management (FRM) machine learning principal will be the most senior machine learning engineer and strategist for financial risk at our company. The principal will enable the risk organization to deliver significant lift over current long range objectives for friction and leakage through the generation of new Machine Learning opportunities for the organization and support of successful delivery of the risk management ML architecture. This person will partner closely with the FRM engineering leader (Director level) and be part of our companys risk management leadership circle.
Software Engineer, ML (Technical Leadership) Responsibilities
Address core business and technical machine learning opportunities: elevate the existing portfolio of machine learning solutions to be state-of-the-art for minimizing our companys financial losses (due to leakage, good revenues loss and friction). Following are a few examples of technical and business problems we aim to address. - Provide a solution for optimizing the risk machine learning model ensemble (covering the entire end-to-end advertiser funnel including detection, decisioning, enforcement and remediation) through optimization of the current model portfolio and individual models. - Minimize the impact of the prolonged financial fraud feedback loop. - Improve models measurement and performance. - Optimize data/label strategy. - Optimize balance between specific targeted model strategy and broad umbrella model strategy to optimize for short and long term benefits
Lead Research and Introduction of Advanced Technologies: - Collaborate with Financial Integrity's senior ML Engineers to lead the research and introduction of deep learning and Large Language Model (LLM) technologies. - Remain current on industry-wide advancements in ML and introduce relevant advancements in Financial Risk Management
Collaborate on Next-Generation ML Architecture: - Work closely with financial harms principals and risk management tech leads to deliver the next-generation ML architecture for our company's risk management system. - Collaborate with Principal ML engineers from across the company to adopt best industry and our company practices within the FRM team. - Resolve or mitigate design dilemmas, balancing business and technical trade-offs. - Identify and initiate opportunities for collaboration and impact with other organizations at our company
Identify and Initiate New Business Opportunities: - Collaborate with our company FinTech, Central Integrity and Core Ads Growth partnerships to identify and initiate new business opportunities based on third-party capabilities. - Conduct proof of concept for different opportunities and initiate integrations to enhance business performance
Grow Other Senior ML Engineers - Actively invest in the growth of other senior ML engineers through goal-driven formal and informal mentorship. Provide regular feedback to other engineers regarding their technical work

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.

In this role, you will be responsible for:
You will be leading an engineering group composed of 4 teams, building our core infrastructure that serves the entire engineering organization, as well as the product.
We are looking for a true leader with great communication skills who can help us scale our growing engineering team while upholding a high technical bar. This role requires collaboration with stakeholders across the organization, high technical competency, the ability to initiate and drive processes, manage projects under time constraints, and most importantly keep our team members challenged and engaged.
Leading a group of 4 teams, building our company's core infrastructure
Own the end-to-end delivery of your group from planning to production, ensuring we deliver a high-quality product at a fast pace
Driving engineering excellence through constant improvement in processes, tools, practices, and skills
Working closely with our architects and product in building and executing your infrastructure roadmap
Coaching and mentoring your team, helping them unlock their full potential.

Join our companys Procurement team as a Senior Full Stack Engineer - and jump in right as were building the next-generation core engine of the group.
If youre passionate about clean code, thoughtful design, strong performance, and collaborating with a team that truly strives for excellence and innovation - all while keeping the kind of team vibe that makes great work actually enjoyable - then what are you waiting for? Were soooo excited to meet you!
In this role, you will be responsible for:
Writing high-quality, readable, testable, and maintainable code.
Assisting in the planning and leading the development of new components as well as renewing existing ones.
Being a proactive team player while working independently in a collaborative environment.
Thinking outside the box, continuously pushing for improvements and optimizations.

We are looking for a Senior QA Automation Engineer
What Youll Do
Design, develop, and maintain advanced automated testing frameworks for backend and UI.
Build and execute automated test suites using Playwright, with strong focus on backend validation.
Write and maintain comprehensive System Test Plans and related documentation.
Test APIs (REST/GraphQL), including authentication flows, pagination, and complex data validation.
Implement service isolation using mocks and containerized environments (Docker).
Collaborate closely with developers and product teams to define test strategies and ensure high quality.
Support CI/CD pipelines by integrating automated tests into the delivery process.
Perform manual testing when needed, including exploratory, regression, and edge-case analysis.

We are looking for an excellent Firmware Design Engineer for NVIDIA FW PHY Group. The person will closely work with NVIDIA FW development, architecture, chip design teams and gain deep understanding of NVIDIA's Networking products and technologies. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best chip design team in the industry!

What youll be doing:

Work on NVIDIA current and next generation of Networking devices and GPU.

Build and create Firmware Phy solutions for our new SerDes and physical linkup flow.

Work closely with our costumer support team to build solutions for our costumers.

Work with the architecture, HW, and SW design teams.

Debug and screen HW/FW/SW issues.

Lead data-driven discussions about the product functionality and areas for improvement.

Define implement and maintain FW algorithm to control the Silicon.

Take an active part in silicon bring-up and SW development phases.

In this role, you will be responsible for:
Design, build, and optimize scalable, reliable, and secure backend services in Go (Golang).
Develop and maintain microservices that handle connectivity and data synchronization between systems.
Build resilient and observable systems using AWS, Docker, and Kubernetes.
Design and manage PostgreSQL databases with a focus on performance, reliability, and data integrity.
Work with queues and messaging systems (AWS SQS/SNS, Kafka, RabbitMQ) to ensure reliable communication between services.
Debug, troubleshoot, and resolve complex issues across multiple services and environments.
Investigate and fix production incidents and performance bottlenecks, ensuring system stability, uptime, and data freshness.
Collaborate with cross-functional teams (Product, DevOps, Data) to design, deliver, and maintain high-quality solutions.
Participate in architecture discussions, code reviews, and continuous improvement initiatives.

As a System Engineer you will be the technical owner for key R&D projects, applying your knowledge from the drawing board to a finished product. Your day-to-day will involve:

Designing and defining the system architecture for our next-generation wireless video solutions, making the critical technical decisions that ensure robust and high-performance products.

Leading a cross-functional R&D Project team (HW, SW, ME, QA, Regulation, Production) and ensuring the project's successful execution, on time and to specification.

Taking full ownership of the technical requirements, translating complex market needs into detailed architectural specifications and development documents (SRD).

Serving as the primary technical expert and problem-solver, leveraging your deep knowledge to lead hands-on root cause analysis and implement effective corrective actions.

Acting as the key R&D focal point for all project activities, ensuring technical alignment between all internal departments and stakeholders.

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.

Hardware Design Engineer Requirements
Leading top-down product development and management across organization functional teams.
Provide full accountability and substantial value for business operation.
Hands on developing digital logic designs handling the entire design aspects: Architecture.

We are seeking a motivated and skilled Jr. Algorithm Engineer to join our R&D team. The engineer will be part of a team responsible for the core autonomy parts of the product responsible for developing the foundational algorithms that guide our autonomous vehicles. This role is a part of the group that oversees Motion Planning, Decision-Making, Localization, and Control, blending traditional robotics with state-of-the-art AI to solve the most challenging problems in autonomous driving. This is an opportunity to architect and deliver the core autonomy stack for a scalable, mapless L3-L4 system. You will work on cutting-edge algorithms, large-scale models, and see your innovations deployed on public roads in our global fleet of cars and buses. Responsibilities
* Be part of the development of four key domains: Motion Planning and Decision-Making: Oversee the trajectory planner and the decision-making module that sets the context for vehicle behavior. Localization: Guide the development of high-frequency, high-accuracy vehicle state estimation using advanced sensor fusion algorithms. Control: Supervise the design and implementation of the vehicle's lateral and longitudinal controllers.
* Drive innovation by integrating state-of-the-art (SOTA) methodologies, including Agentic AI, transformers, multi-agent prediction, trajectory optimization, uncertainty management, and safety-aware algorithms.
* Be part of a group involving multiple engineers, from initial research and prototyping to robust deployment and validation.
* Be part of a group in charge of complex data pipelines, from collection and annotation to model training and evaluation.