דרושים » תוכנה » senior hpc performance engineer

our company is leading the way in groundbreaking developments in artificial intelligence, high performance computing and visualization. the gpu, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.
come work for the team that brought to you nccl, nvshmem & gpudirect. our gpu communication libraries are crucial for scaling deep learning and hpc applications! we are looking for a motivated partner enablement engineer to guide our key partners and customers with nccl. most DL /hpc applications run on large clusters with high-speed networking (infiniband, roce, ethernet). this is an outstanding opportunity to get an end to end understanding of the ai networking stack. are you ready for to contribute to the development of innovative technologies and help realize our vision?
what you will be doing:
engage with our partners and customers to root cause functional and performance issues reported with nccl
conduct performance characterization and analysis of nccl and DL applications on groundbreaking gpu clusters
develop tools and automation to isolate issues on new systems and platforms, including cloud platforms (azure, aws, gcp, etc.)
guide our customers and support teams on hpc knowledge and standard methodologies for running applications on multi-node clusters
document and conduct trainings/webinars for nccl
engage with internal teams in different time zones on networking, gpus, Storage, infrastructure and support.

Help build an Always-On, low-overhead GPU profiling service that runs in production, scales across cluster environments, and delivers actionable insights for ML workloads. You will be hands-on delivering our profiling solutions across system software, drivers, and CUDA to make profiling continuously available and reliable.

What youll be doing:

Develop low-overhead, high-reliability implementations in C/C++, with bounded CPU/memory budgets.

Lead end-to-end feature delivery spanning user-mode components, driver/platform layers, and performance counter/trace providers.

Establish profiling models that integrate with existing ML/AI workflows (e.g., PyTorch/XLA) to turn low-level signals into actionable insights.

looking for a strong technical senior architect to join us in shaping the future. senior architects are innovators who can translate business needs into workable technology solutions. their expertise is deep and broad. they are hands on, producing both detailed technical work and high-level architectural designs.
as a senior architect in the ai networking research team, you will explore technological challenges on accelerate networking and building ai data centers. research new transport functions and semantics for optimizing ai workloads, ai systems communication and accelerations and much more. you will also be leading architectural and development efforts across numerous technological fields, related to the modern ai data center, such as distributed ai and deep learning solutions, data analytics, high performance computing (hpc), software defined networking (sdn), virtualization, Storage, and more.
what youll be doing:
co-design hardware features (e.g., in gpus, dpus, or interconnects) that accelerate data movement and enable new capabilities for inference and model serving. 
identify and evaluate new technologies, innovations and partner relationships for alignment with our technology roadmap and business value.
lead architecture and design of new technologies and innovations such as runtime systems, communication libraries, ai-specific technologies.
lead proof-of-concept development to evaluate and drive such technologies.

Required Senior Algo Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Senior Algo Data Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

we are looking for a 100% hands-on network software engineer to join the block Storage group. you will be a member of a team that builds the next generation block Storage capabilities. you will work closely with a variety of teams and architects including the networking team, and external customers. you will take part in defining the software architecture and implementation of the most advanced Storage services! services that will need to meet extreme performance and scalability demands! we have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow.
at our company, we work, think and learn as a team. we thrive in a deeply strong environment, and we're passionate about a culture that demands innovation and the highest standards. the rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play.
what youll be doing:
100% hands-on coding role in C language, Kernel and userspace
research, design, implement and TEST, new and existing, advance networking service and features of our block Storage solution, in both host and dpu environments.
acquire understanding of the algorithms, the technicalities and the interaction with other components across our block Storage ecosystem.
analyze and solve challenging bugs and customer cases in large scale production systems, identifying issues in our or inbox Kernel modules and often in other components. drive new solutions based on any issues that arise

seeking a dynamic and highly motivated Software Senior Manager to lead our BlueField DPU Platform software team. We are looking for a candidate who can excel in a sophisticated, multidisciplinary environment, take ownership, and drive high-quality software development including low-level device initialization, Linux OS drivers and kernel configuration, boards bring-up and system management. This position offers the opportunity to have a real impact on sophisticated, groundbreaking products, delivered by us and developed by our customers, empowering the most advanced data centers in the world. We believe our most valuable asset is our people and seek the very best to lead our outstanding team. This role requires close collaboration with teams across various fields (SW, HW, QA) to elevate our product to the next level.

What you will be doing:

Mentor and expand your engineering team in the planning and execution of initiatives and projects with top quality and timely results.

Coordinate feature design and implementation as well issue resolution, as this is a technical leadership role.

Interact with internal and external partners to understand their use cases and requirements. Collaborate with engineering teams, program and product management across the product roadmap.

Continuously review and identify improvement opportunities in established processes, infrastructure, and practices to ensure the teams are implementing in the most efficient and open manner.

Develop a team of engineers who understand the bigger picture, value collaboration, and can take ownership of and implement designs from beginning to end.

Be familiar with the open-source community process to advance industry-standard programming models and platform support while upstreaming and maintaining software into standard software distributions.

we seek a versatile senior software engineer who is passionate about performance optimization and generative ai. our team builds software solutions that enable efficient inference on the latest and greatest generative ai models. we tackle problems on all levels of the stack-from server-level request batching to gpu Kernel fusion-and collaborate with teams across diverse disciplines to push nvidia's hardware to its full potential.
what youll be doing:
cooperate with research teams to onboard new llms and vlms into nvidia's opensource ai runtimes
optimize inference workloads using sophisticated profiling and simulation tools
build solid, extendable inference software systems, and refine robust apis
implement and debug low-level gpu code to harness the latest hw features
own end-to-end inference acceleration features and work with teams around the world to deliver production-grade products

we are looking for a 100% hands-on Storage services software engineer to join the block Storage group. you will be a member of a team that builds the next generation block Storage capabilities. you will work closely with a variety of teams and architects including the networking team, and external customers. you will take part in defining the software architecture and implementation of the most advanced Storage services! services that will need to meet extreme performance and scalability demands! we have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow.
we work, think and learn as a team. we thrive in a deeply strong environment, and we're passionate about a culture that demands innovation and the highest standards. the rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play.
what youll be doing:
100% hands-on coding role in C language, Kernel and userspace
research, design, implement and TEST, new and existing, distributed Storage services and features of nvidias block Storage solution, in both host and dpu environments.
acquire understanding of the algorithms, the technicalities and the interaction with other components across nvidias block Storage ecosystem.
analyze and solve challenging bugs and customer cases in large scale production systems, identifying issues in our or inbox Kernel modules and often in other components. drive new solutions based on any issues that arise

about the job
our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. our products need to handle information at massive scale, and extend well beyond web search. we're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data Storage, security, artificial intelligence, Natural Language Processing, UI design and mobile; the list goes on and is growing every day. as a software engineer, you will work on a specific project critical to our company's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. we need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the Full-Stack as we continue to push technology forward.
in this role, you will work with system teams and the cpu architecture team to develop an understanding of the central processing unit (cpu), system on a chip ( SOC ), performance metrics, benchmarks/measuring tools, and available optimization knobs. you will define methods and technologies to model cpu performance at different accuracy levels by supporting architectural explorations and decision making. you will correlate performance projections with measured post-silicon data.the ai and infrastructure team is redefining whats possible. we empower our company customers with breakthrough capabilities and insights by delivering ai and infrastructure at unparalleled scale, efficiency, reliability and velocity. our customers, our company cloud customers, and billions of our company users worldwide. we're the driving force behind our company's groundbreaking innovations, empowering the development of our cutting-edge ai models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. from software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our tpus, vertex ai for our company cloud, our company global networking, data center operations, systems research, and much more.
responsibilities
write product or system development code.
design, develop, TEST, deploy, maintain, and improve central processing unit (cpu) software modeling and other software tools.
manage project priorities, deadlines, and deliverables.
collaborate with hardware and software cpu architecture teams, SOC performance modeling team, and other company software teams.

We are now looking for a HPC Operations Engineer to join our mission and continue improving our HPC infrastructure. A meaningful part of ourstrength is our unique and advanced development tools and environments that enable our incredible pace of innovation. We are looking for architects to help us evolve the way our private compute cloud is architected and optimized.

What youll be doing:

Troubleshoot incoming support requests in a large-scale HPC environment.

Contribute enhancements to existing deployment automation, configuration management, observability, and operational monitoring and day to day operation through automation.

Ensure compute servers are running correct Operating System and configuration.

Troubleshoot Complex Issues: Perform comprehensive troubleshooting from bare metal to application level, ensuring system reliability and efficiency.

Collaborate with specialist teams to drive issues to closure.

Collaborate with domain experts to improve how our chip development process utilizes our infrastructure.

Directly contribute to the overall quality and improve time to market for our next generation chips.