דרושים Senior Compiler Engineer ב-אנבידיה ב-United Kingdom, England, Southampton

What You'll Be Doing:

• Support developers in your ISV segment as a technical consultant, resolving issues and promoting NVIDIA technology adoption.

• Accelerate critical workloads by demonstrating ground breaking solutions that integrate the core NVIDIA stack into developer products, platforms, and pipelines.

• Advise on the technical enablement resources—such as sample code, guides, demonstration pipelines, and tools to highlight the application of technologies in solving real-world problems

• Guide partners and startups through onboarding and integration with NVIDIA’s programs, fostering co-innovation and the development of next-generation solutions.

• Map, track, and supervise the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.

• Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies.

• Collaborate with partner engineering teams, technical leaders, and decision-makers to identify objectives, address technical hurdles, and promote guidelines for successful integrations.

• Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.

What We Need to See:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).

• A minimum of 8-10+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, or customer-facing technical roles including 5+ years of direct hands-on experience working with software & technology companies in EMEA

• Proven experience leading, partnering, and scaling developer programs at major technology companies, ISVs, or within relevant verticals.

• Significant technical proficiency in high-performance computing, cloud, AI/ML, and/or vertical-specific frameworks and libraries.

• Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences from engineers to executives.

• Experience leading technical collaborations with engineering and product teams - including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops

• Skilled in coordinating complex technical projects, addressing needs, prioritizing concerns, and collaborating with various teams.

• Commercialproficiency/experience:

Ways to Stand Out from the Crowd:

• Hands-on experience building or optimizing vertical-specific solutions (e.g., network stacks, bidding algorithms, data pipelines, etc.).

• Familiarity with advanced computing, AI, and/or GPU acceleration platforms such as CUDA, Triton, NeMo

• Track record in crafting and implementing systems for real-time processing and low-latency decision-making.

• Experience working in customer-facing technical roles focused on technical evaluation and product integration

• Background in developing product partnerships and executing GTM strategies with externalorganizations/partnersas well as experience working with developers building AI-embedded products serving one of the following industries: Healthcare & Life Sciences, Financial Services, Automotive, Manufacturing, or Retail

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

What will you be doing:

• You will bring together and understand internal and external customer requirements to improve AI cluster resiliency and design AIOps-based solutions that address these needs.

• develop automated workflows for issue detection and root cause analysis and closely collaborate with operators to debug sophisticated, full-stack AI cluster problems. We will bring to bear the findings for product improvements!

• deliver compelling technical presentations and lead hands-on demos or training. You'll also handle evaluation deployments (POC/POV) and ensure smooth, reliable installations by staying engaged and encouraging throughout the customer journey.

What we need to see:

• Bachelor of Science or equivalent experience

• 12+ years of networking experience in enterprise or service provider environments, with strong hands-on expertise in routing and switching.

• Proficient in scripting and automation using Python or similar languages, with strong Linux expertise.

• Proven experience working directly with customers to resolve issues and ensure success in Systems Engineer or SRE roles.

• Exceptional oral, written, and presentation skills for clearly communicating complex technical topics.

• Demonstrated ability to collaborate effectively across teams, partnering with operations, engineering, and product development

Ways to stand out from the crowd:

• Experience with data center infrastructure and cloud architectures

• Background in network performance monitoring or observability

• Previous experience working at a technological start-up

• Collaborating with NVIDIA’s training framework developers and product teams to stay ahead of the latest features and help partners to adopt them effectively.

• Assisting with deployment, debugging, and improving the efficiency of AI workloads on extensive NVIDIA platforms.

• Benchmarking new framework features, analyzing performance, and sharing actionable insights with both customers and internal teams.

• Working directly with external customers to solve cluster performance and stability issues, identify bottlenecks, and implement effective solutions.

• Build expertise and guide customers in scaling workloads efficiently and reliably on the latest generation of NVIDIA GPUs.

• Contributing to Europe’s Sovereign AI initiative by helping customers implement advanced resiliency features within AI training pipelines.

• BS, MS, PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related engineering field—or equivalent practical experience.

• 8+ years of experience in accelerated computing technologies at cluster scale, ideally including work with NVIDIA platforms.

• Strong programming skills in at least one of the following languages: C, C++, or Python.

• Practical experience identifying and resolving bottlenecks in large-scale training workloads or parallel applications.

• Hands-on experienced in profiling and debugging large parallel applications.

• Solid understanding of CPU and GPU architectures, CUDA, parallel filesystems, and high-speed interconnects.

• Experienced in working with large compute clusters with an understanding of their internal scheduling and resource management mechanisms (e.g. SLURM or Cloud based clusters).

• Proficient knowledge of training pipelines and frameworks, encompassing their internal operations and performance attributes.

• Experience in debugging training pipelines running on thousands of GPUs in production environment.

• Hands-on experience with performance profiling and optimizations using tools like Nsight Systems, Nsight Compute and good understanding of NCCL, MPI and low-level communication libraries.

• Ability to debug stability issues across the entire stack: parallel application, training frameworks, runtime libraries, schedulers, and hardware.

• Solid understanding of the internal workings of LLM frameworks such as PyTorch, Megatron-LM, or NeMo, and how they affect compute layers like CPUs, GPUs, network and storage or understanding of inference tools such as vLLM, Dynamo, TensorRT-LLM, RedHat Inference Server or SGLang.

What you’ll be doing:

• Architect, build, and evolve the scalable technology stack for global learner and instructor technical support.

• Lead the global operationalization of support systems, to ensure high availability, performance, and efficient resource utilization.

• Provide technical leadership and mentorship to a distributed operations team, driving excellence in the use of support technologies and processes.

• Collaborate cross-functionally to translate support insights and user feedback into systemic improvements to shared NVIDIA services, the DLI platform, and overall experience for enterprises, learners, and instructors.

What we need to see:

• Bachelor’s degree in Computer Science, a related technical field, or equivalent experience

• Over 6 years of DevOps experience optimizing, deploying and running containerized applications (Docker, Kubernetes) across AWS, Azure, and GCP, including hands-on work with EKS, AKS, and GKE.

• Proficient in Python and Linux shell scripting for automation, application development, system administration, and troubleshooting.

• Validated experience architecting, implementing, and managing cloud infrastructure using Terraform.

• Demonstrated ability as a meticulous problem-solver with strong analytical skills, capable of diagnosing and resolving complex technical challenges under pressure.

• Excellent communication, teamwork, and collaboration skills, with an ability to articulate technical concepts clearly to diverse audiences and lead technical responses during incidents.

Ways to stand out from the crowd:

• Proven experience designing and implementing event-driven architectures using pub/sub patterns with platforms like AWS SNS / SQS, Google Pub / Sub, or Azure Service Bus.

• Knowledge of generative AI architectures (LLMs, diffusion models) and concepts such as Retrieval Augmented Generation (RAG) and vector databases.

• Hands-on experience with the NVIDIA AI stack (NeMo, Triton Inference Server, TensorRT) for model development, serving, and optimization. Production experience with NVIDIA NIM is a strong plus.

• Experienced in building and running CI/CD pipelines (Jenkins, GitLab CI) and managed software development environments, applying SRE principles to automate, enhance reliability, and improve performance.

• Familiarity with Python-based Learning Management Systems (LMS) such as Open edX.

• Designing, implementing and maintaining large scale HPC/AI clusters with monitoring, logging and alerting

• Managing Linux job/workload schedules and orchestration tools

• Developing and maintaining continuous integration and delivery pipelines

• Developing tooling to automate deployment and management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources

• Deploying monitoring solutions for the servers, network and storage

• Troubleshooting and fixing, bottom up from bare metal, operating system, software stack and application level

• Being a technical resource, developing, re-defining and documenting standard methodologies to share with internal teams

• Supporting Research & Development activities and engaging in POCs/POVs for future improvements

• Bachelor's Degree in Computer Science, Engineering, or a related field; or equivalent experience

• 5+ years of experience

• Knowledge of HPC and AI solution technologies from CPU’s and GPU’s to high speed interconnects and supporting software

• Experience with job scheduling workloads and orchestration tools such as Slurm, K8s

• Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu) networking (sockets, firewalls, iptables, wireshark, etc.) and internals, ACLs and OS level security protection and common protocols e.g. TCP, DHCP, DNS, etc.

• Experience with multiple storage solutions such as Lustre, GPFS, zfs and xfs. Familiarity with newer and emerging storage technologies.

• Python programming and bash scripting experience.

• Comfortable with automation and configuration management tools such as Jenkins, Ansible, Puppet/chef

• Deep knowledge of Networking Protocols like InfiniBand, Ethernet

• Deep understanding and experience with virtual systems (for example VMware, Hyper-V, KVM, or Citrix)

• Familiarity with cloud computing platforms (e.g. AWS, Azure, Google Cloud)

• Knowledge of CPU and/or GPU architecture

• Knowledge of Kubernetes, container related microservice technologies

• Experience with GPU-focused hardware/software (DGX, Cuda)

• Background with RDMA (InfiniBand or RoCE) fabrics

Success in this position requires a strong understanding of the local partner landscape and industry trends, as well as hands-on experience in AI, vertical markets, and the broader cloud business. You will need to demonstrate a consistent track record in partner management and the ability to operate optimally in diverse business cultures, as well as being comfortable engaging at the C-level, representing NVIDIA in high-visibility settings, and growing in a fast-paced environment are key characteristics of the ideal candidate.

What you’ll be doing:

• Supporting NVIDIA’s cloud provider offtake strategy for UK.

• Incorporate the cloud provider strategy into the existing partner ecosystem.

• Driving off-take of NVIDIA GPU resources in the cloud and generating demand for accelerated growth.

• Collaborating closely with executive management, marketing, solution architects, and global/vertical teams.

• Demonstrating expertise in navigating the local partner landscape and bringing to bear opportunities in AI, industry verticals, and cloud business.

• Engaging at C-level and representing NVIDIA in high-visibility.

• Traveling up to 50% of the time to meet business objectives and establish relationships.

What we need to see:

• Experience selling complex technology solutions such as cloud services, AI platforms, or high-performance computing.

• Understanding of NVIDIA's product portfolio, cloud technologies, and the NCP ecosystem.

• 7+ years sales or partner experience in a pathway driven IT industry ideally for Key-Accounts.

• Ability to balance between actual operational execution and long-term strategy – focus & flexibility.

• Ability to combine and balance Partner Management, Sales, Business Development and Alliance Leadership skills.

• Strong communication and presentation skills.

• University degree or above, or equivalent experience -economics/international

Ways to stand out from the crowd:

• Demonstrates an entrepreneurial approach while also excelling as an encouraging teammate - thrives in collaborative settings.

• Sees learning as a never-ending process.

• Understand the principles of DC & infrastructure design.

• Start-up and get things done mentality while acting fast and learning quickly.

• Self-confidence to stand on stage in the spotlight who is self-motivated, get thing done mentality, strong execution capability, daring and passionate.