דרושים Principal Thermal Mechanical Photonic Designer ב-אנבידיה ב-ארהב

What you'll be doing:

• Path-find technical innovations in Quantum Error Correction and Fault Tolerance, working with multi-functional teams in Product, Engineering, and Applied Research

• Develop novel approaches to quantum error correction codes and their logical operations, including methods for implementation and logical operation synthesis

• Research and co-design improved methods to achieve fault tolerance, such as techniques for logical operations, concatenation, synthesis, distillation, cultivation, or others

• Collaborate with internal teams and external partners on developing technology components to enable a fault-tolerant software stack integrated with quantum hardware

• Adopt a culture of collaboration, rapid innovation, technical depth, and creative problem solving

What we need to see:

• Masters degree in Physics, Computer Science, Chemistry, Applied Mathematics, or related engineering field or equivalent experience (Ph.D. preferred)

• Extensive background in Quantum Information Science with 12+ overall years of experience in the Quantum Computing industry

• A demonstrated ability to deliver high impact value in quantum error correction and fault tolerance

Ways to stand out from the crowd:

• Hands-on experience in scientific computing, high-performance computing, applied machine learning, or deep learning

• Experience with co-design of quantum error correction with quantum hardware or quantum applications

• Experience with CUDA and NVIDIA GPUs

• Passion to drive technology innovations into NVIDIA software and hardware products to support Quantum Computing

What you'll be doing:

• Define and drive architecture for complex, high-volume GPU products, ensuring they meet our ambitious performance and scalability goals.

• Perform and guide power and performance evaluation, trade-off assessments, and architectural modeling to identify optimal chip, package and system construction.

• Lead improvements in architecture, methodology and tools to improve the scalability of our system, collaborating closely with cross-functional engineering teams.

• Specify and optimize SoC subsystems such as memory architecture, test infrastructure and power management.

• Collaborate with RTL, verification, physical design, firmware, and software teams to successfully implement and integrate system components.

• Produce high-quality technical documentation of SoC architecture, specifications, and development trade-offs.

• Provide technical leadership and mentorship to junior architects and engineers, encouraging a culture of excellence and innovation.

What we need to see:

• Over 15 years in SoC architecture development or similar technical leadership roles.

• Proven track record of defining and delivering multiple high-volume SoC systems (such as CPU, GPU, modem, networking or similar).

• Proficiency in evaluating power/performance and architectural modeling in high-level programming languages.

• Strong understanding of SoC system fundamentals, including memory hierarchy, coherency, clocking, power domains, boot and reset, test, and debug methodologies.

• Hands-on experience with silicon bring-up, debug and tuning.

• Excellent interpersonal, leadership, and collaboration skills, with the ability to influence across organizations.

• Outstanding documentation, written, and verbal communication skills.

• Master's degree (or equivalent experience) in a relevant subject area: Computer Science, Electrical Engineering or Computer Engineering

Ways to stand out from the crowd:

• Experience with GPU or AI accelerator architecture, including platform aspects, off-chip I/O technologies, and networked multi-GPU systems

• Knowledgeable in modern packaging technologies, and their costs and benefits

• Knowledgeable in AI workload characteristics

• Outstanding analytical and problem-solving skills with a focus on optimizing performance, power, area, and complexity.

What you'll be doing:

• Lead, build, and drive the architecture and engineering alignment for key automotive customer projects through all phases, from bringup to production and post-production, using the DRIVE platform.

• Architect and build a seamless integration environment to amplify the scalability of our software solutions for our partners.

• Collaborate with senior leaders across the company to evolve the product initiatives, roadmaps, and processes. Drive innovation bringing in new technologies.

• Lead bring-up activities and provide deep technical guidance and strategies to resolve functional and system performance issues, working with internal and external partner teams.

• Collaborate with our global engineering teams in our US, APAC, and Europe locations to deploy the solution to our customers.

What we need to see:

• BE/BS or MS in computer science, robotics, computer engineering, or equivalent experience.

• Understand the technological evolution in the self driving industry.

• 15+ years of deep hands-on technical experience.

• Extensive strong technical leadership experience across large-scale organizations.

• Established proficiency in application development and scalability for autonomous machines, and familiarity with robotics or automotive related middleware frameworks.

• Broad and deep technical knowledge across software and hardware.

• Proven ability to lead teams across multiple hardware, software and business groups through design and implementation.

• Excellent communication and interpersonal skills and the ability to influence large organizations in meaningful ways.

Ways to stand out from the crowd

• Familiar with automotive design processes and norms (e.g. ISO 26262, ASPICE), including in-vehicle testing, simulation and metrics development of autonomous driving systems.

• Software development experience on QNX or equivalent RTOS.

• Applied knowledge in resolving sophisticated, interrelated issues emanating from sensors to other embedded controllers on the vehicle and from interactions between applications.

• Knowledge of GPU programming such as OpenCL or CUDA and understanding of the NVIDIA DRIVE platform.

• Contributions to or ownership of open-source project and mentorship experience.

NVIDIA is seeking a Sr. Systems Software Engineer for the Apache Spark Acceleration group. Over the past five years GPU accelerated data processing has moved from proof of concept to production deployments. Many enterprises are now recognizing the needs of accelerated computing to handle their large data processing needs. Multi-node GPU deployments will reduce cloud computing costs and lower latency batch ETL workloads.

At NVIDIA, we have been invested in accelerating Apache Spark, providing an open source plugin for Apache Spark. Apache Spark is the most popular data processing engine in data centers. We strive to accelerate Spark applications on GPUs without any code changes. We are passionate about working on hard problems that have an impact. You will need to have strong programming skills, a deep understanding of software development related to C++. You will work with a team that is using open source libraries like RAPIDS to accelerate reading, writing and batch data operations in Spark.

What you'll be doing:

• Develop CUDA/C++ libraries to accelerate DataFrames and I/O operations on common file formats such as Parquet, ORC and JSON

• Collaborate with distributed systems teams to craft solutions to distributed processing problems challenges at large scale

• Work with open source communities to enhance libraries like RAPIDS, CCCL and UCX through technical discussion and code contributions

• Provide recommendations and feedback to teams regarding decisions surrounding topics such as infrastructure, continuous integration and testing strategy

• Build, test and optimize CUDA/C++ libraries across different platforms

What we need to see:

• BS, MS, or PhD in Computer Science, Computer Engineering, or closely related field (or equivalent experience)

• 12+ years of work experience in software development

• Outstanding technical skills in designing and implementing high-quality distributed systems

• Excellent programming skills in C++, Java, and/or Scala

• Ability to work with teams across organizational boundaries and geographies

• Highly motivated with strong interpersonal skills

• OS kernel dev experience is a strong plus

What you'll be doing:

• Architect, build, plan, implement, and operate cloud services relating to video technologies

• Collaborate and integrate system and runtime integration problems across the Vulkan/Proton team and video streaming teams.

• Work with game and application developers and our internal platform/performance teams for optimizations in Unreal

• Maintain a customer-centric approach by supporting, maintaining, and detailing software functionality.

What we need to see:

• BS/MS in Computer Science or equivalent experience with 15+ years of hands-on experience building complex services.

• Expertise in Go and working with cloud services. Have designed and implemented high-scale, reliable systems.

• Deep understanding of HTTP REST API, gRPC, security, and networking, along with a good grasp of API development influenced by UX/UI/CLI requirements.

• Ability to drive pragmatic technical discussions towards practical solutions that are clean, reusable, testable, and extensible.

• Dedication to collaborative development approaches, with the capability to impact daily operations across teams and collaborators.

• Strong debugging skills to pinpoint underlying issues and enhance the technology stack, working closely with colleagues and team members like DevSecOps and SRE or those with equivalent experience.

• Strong verbal and written communication abilities, with a demonstrated history of being a standout colleague.

Ways to stand out from the crowd:

• Experience in the game industry with Unreal Engine

• Expertise in Java, Spring Boot, Golang, Gatling, Python, Kubernetes, and Docker.

• Familiarity with NoSQL databases such as Cassandra, DynamoDB, and Redis.

• Ability to excel in a dynamic, highly interactive environment, driving team success.

NVIDIA seeks a Principal Hardware Architect to lead product performance and power initiatives across our GPU and SoC product lines in the Datacenter, Consumer, Automotive, and Client markets. As a Principal Hardware Architect, you will be pivotal in driving the next-gen product roadmap, connecting the business requirements with engineering technology. The role involves a deep understanding of market segments, the competitive landscape, and product use cases, to inform investment areas for the technology teams and translate them into product specifications. You will establish strategy, steer crucial product choices, and bring together multi-functional teams to ship best-in-class products for NVIDIA.

), you will advance federated AI with innovative decentralized AI solutions. Your work will drive the next wave of innovation, empowering organizations to unlock the full potential of their data while maintaining the highest standards of security and privacy.

What you’ll be doing:

• Collaborate with AI researchers and industry leaders to architect future-proof federated computing infrastructure.

• Lead the design and development of cutting-edge federated computing system that enable secure, large-scale distributed AI.

• Optimize platform performance, scalability, security, privacy, reliability, and ease of use for enterprise deployments.

• Drive architectural innovations that accelerate federated learning adoption across research communities and industries worldwide.

• Mentor junior engineers and establish engineering excellence through best practices, fostering a culture of continuous innovation.

What we need to see:

• BS, MS, or PhD in Computer Science, Electrical Engineering, or related field (or equivalent experience).

• 15+ years of experience in distributed systems development and architecture.

• Proven track record of designing, developing, and evangelizing distributed software platforms.

• Deep knowledge of distributed systems: design patterns, workflows, networking, and implementation.

• Expert-level programming skills in Python and C++.

• Strong expertise in networking and enterprise security.

• Excellent system and API design capabilities.

• Strategic technical leadership with ability to drive long-term vision beyond tactical execution.

• Outstanding communication and collaboration skills.

• Self-motivated with proven ability to deliver high-quality solutions independently

• Experience contributing to major open-source projects is a plus.

• Experience with federated learning frameworks (FLARE, Flower, OpenFL, FedML, PySyft) is plus

• Knowledge of ML/DL frameworks (PyTorch, TensorFlow) is a plus.

Ways to stand out from the crowd:

• Proven architecture experience in major open-source projects.

• Track record of designing, developing, and evangelizing distributed ML infrastructure.

• Strong sense of user-friendly API design and developer experience.

• Deep expertise in distributed PyTorch architecture, design principles, and implementation tradeoffs is a strong plus