Senior Math Libraries Engineer Post Quantum Cryptography jobs at Nvidia in Germany

What you will be doing:

• Develop and optimize scalable high-performance cryptographic primitives, algorithms, and building blocks on the latest GPU hardware architectures

• Emphasize robust long term software architectures and designs that effectively use many generations of hardware

• Work closely with internal(product management, engineering) and external partners to understand feature and performance requirements and deliver timely cuPQC releases.

What we need to see:

• PhD or MSc’s degree in Applied Mathematics, Computer Science, or related science or engineering field is preferred (or equivalent experience).

• 5+ years of experience designing and developing software for cryptography in low latency or high throughput environments

• Strong mathematical foundations.

• Advanced C++ skills, including modern design paradigms (e.g. template meta-programming, SFINAE, RAII, constexpr, etc).

• Strong collaboration, communication, and documentation habits.

Ways to stand out from the crowd:

• Experience developing libraries consumed by many users.

• Experience with CUDA C++, and GPU computing.

• Programming skills with contemporary automation setups for both building software (e.g. cmake) as well as testing (e.g. CI/CD, sanitizers).

• Strong understanding of mathematical foundations and algorithms used in cryptography, including but not limited to finite field arithmetic, lattice-based cryptography, and cryptographic hash functions.

NVIDIA is searching for an outstanding SA with a focus on embedded systems and AI. Your primary responsibilities will be to partner with sales and support the customer technical engagement for NVIDIA’s Jetson platform. You will be working cross functionally with our organizations as well as our partner ecosystem. You should be comfortable working in a dynamic environment and have proven expertise with supporting embedded applications. You will emphasize on your interpersonal skills and your technical knowledge to provide support for our embedded GPU AI products. Excellent communication and interpersonal skills and the ability to work independently are key success factors. Experience with DL is a plus, as well as the aspiration the learn and develop new skills.

What you’ll be doing:

• Engage customers and develop a keen understanding of their challenges, objectives, and technical needs – and help to define highly valued solutions that meet these needs

• Be the trusted advisor for our customers, help them with our Jetson SDK and edge AI inference supporting our sales partners and customers

• Work closely with the NVIDIA applications and engineering team to ensure customers are successful in developing their embedded systems, answer their questions directly, via email, and on the Nvidia developer forum

• Actively establish relationships with our customer’s engineers, management and architects at focus accounts

• Provide onsite support to guide our customers through firmware, BSP and application software development, and with deep learning inference

• Consult with customers in whiteboarding sessions to propose technical solutions, demonstrate capabilities, build proof of concepts and application demonstrations

• Provide technical and sales training to ecosystem and channel partners

• Establish trusted relationships and communication channels with internal teams

What we need to see:

• BS or MS in Electrical Engineering or Computer Science

• 6+ years of work-related experience in a high-tech electronics industry in an embedded design role or technical customer support role

• C, C++, and Python coding, Linux, embedded SW and embedded application expertise

• Capability of working in a rapidly changing environment without losing focus

• Ability to multitask effectively in a dynamic environment

• Strong analytical, problem-solving skills, time-management, and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects

• Expert written and oral communications skills in English with the ability to effectively collaborate with management and engineering

Ways to stand out from the crowd:

• NVIDIA GPU development background

• Deep Learning and/or AI expertise

• Experience with gStreamer, ROS and/or OpenCV

This is a regional role covering EMEA.

What you’ll be doing:

• Manage team of regional Inception Program Managers, and Inception Partners Managers in Europe.

• Identify startups as Inception Program candidates, ISVs and key VCs for us to work with and evangelize both software and hardware technologies to the technical leaders

• Able to establish the value proposition of NVIDIA technologies to technical heads/leaders

• Support Inception Program communities and attend ecosystem events to recruit Inception members

• Build out startup engagement to develop a deep understanding of their goals, strategies, and technical and business needs

• Support emerging use cases development to help cultivate new industries (e.g. Robotics, Physical AI, Agents)

• Drive adoption of SDKs, monitors status, finger on the pulse and assist the Inception/ISV with Go To Market (GTM) programs to be successful

• Link mature Inception startups to VCs and vis-a-versa based on needs and distribute the vertical-ready mature Startups to the respective IGM/IBD teams

What we need to see:

• Minimum of 6+ years of management experience and 12+ overall years of proven working experience in related fields such as startups, partner/eco-system or VCs management with strong related technical background

• BS/MS/PhD in Computer Science, Engineering or equivalent commercial experience in AI/ML

• Passion for ecosystem development and thrive in dynamic environment with technical members

• Excellent communication skills are a crucial requirement. Candidates must work comfortably with startups, partners and various internal & external teams

• GenAI, Machine Learning and Artificial Intelligence experience is a must.

• Ability to build and lead Inception’s Europe strategy.

Ways to stand out from the crowd:

• Team player, loves to work in a team environment with collaborative approach

• Experience of a leading Technical Business Dev or AI teams in Europe’s ecosystem

• Has good local developer, researcher, engineer landscape understanding

• Has experience sourcing “future founders” with a team before anyone else.

• Proficient in English required but candidates who are multilingual are preferred.

What you'll be doing:

As a key member of our team, you will be contributing directly to the future of accelerated AI. Your role will be dynamic and deeply technical, placing you at the center of compiler innovation. You will lead the design, implementation, optimization, and maintenance of the core compiler technologies that accelerate massive deep learning workloads. This is a highly collaborative role where you'll work alongside the very engineers who built PyTorch for NVIDIA hardware, helping to pioneer new features and stay at the forefront of framework development. You'll dive deep into performance analysis, scrutinizing workloads running on thousands of GPUs to find optimization opportunities that will shape the future design of Thunder. Furthermore, you will be part of a vibrant ecosystem, working closely with leading compiler, library, and systems teams—including experts behind nvFuser, TVM, XLA, and CUDA—to translate the latest research into practical, high-impact solutions for the open-source community.

What we need to see:

We are looking for engineers who are excited about building powerful, user-centric tools and are comfortable working in a fast-paced, collaborative environment. Here are some of the expertise we would like to see:

• A Bachelor's, Master's, or Ph.D. in Computer Science or a related technical field (or equivalent experience).

• 8+ years of relevant work experience

• A strong command of Python and experience building complex, well-tested software systems.

• Hands-on experience with deep learning frameworks like PyTorch or JAX. You understand how models are built and where the performance challenges lie.

• A solid foundation in compiler concepts such as abstract syntax trees (ASTs), intermediate representations (e.g., SSA form), program analysis, and code generation.

• Excellent communication and collaboration skills, essential for working effectively in a distributed, open-source environment.

Ways to stand out from the crowd:

• Previous contributions to deep learning compiler projects (e.g., TVM, MLIR, IREE) or deep learning frameworks themselves.

• Deep expertise in the internals of PyTorch, particularly its compiler stack (TorchDynamo, TorchInductor).

• Experience with JAX-like functional transformations and their application in a compiler context.

• Familiarity with parallel programming, distributed systems, and writing high-performance CUDA code.

• A track record of impactful participation in open-source communities, such as through code contributions, design discussions, or mentorship.

What you'll be doing:

• Design and implement new features to accelerate Network and Storage in the Kubernetes echo system

• Work closely with open source communities, participate in the relevant working groups

• Work with different teams across NVIDIA

What we need to see:

• BSc in Computer Science or equivalent program

• 6+ years of hands-on experience in software development, preferably with Golang

• Highly motivated with strong communication skills, the ability to work successfully with multi-functional teams, developers, and architects

• Coordinate effectively across organizational boundaries and geographies

• Strong self-initiative, independence, and flexibility to a new technology

• Deep understanding of network protocols, virtualization, and containers

• Strong background in designing, implementing, and debugging complex software

• Vast hands-on experience with Kubernetes or OpenStack echo systems

Ways to stand out from the crowd:

• Experience with working on open source projects

• Background with SR-IOV, DPDK, ROCE technologies

• Experience in developing Kubernetes Operators, CSI plugins and CNI Plugins

What you will be doing:

• Help build out and scale customer-facing APIs and systems for the DGX Cloud Kubernetes Platform

• Work with the Runtime and Cluster Architecture teams to provide a complete GPU-accelerated Kubernetes clusters to a wide variety of NVIDIA initiatives

• Be the voice of our customers to ensure they have a smooth experience to access the compute they need for the workloads they want

• Build platform services for other NVIDIA developers to bring their services to NVIDIA Kubernetes clusters

What we need to see:

• BS/MS in Computer Science or related field (or equivalent experience).

• 8+ years of relevant work experience.

• Experience in building foundational SaaS systems at scale, such as API design, user management, or authentication and authorization flows

• Proficiency in Go and building Go services at scale

• Experience with deploying and maintaining services atop Kubernetes

• Experience writing automation with Kubernetes (i.e. Controllers,CustomResourceDefinitions,etc.)

• Background with AWS or GCP and related technologies like S3, GCS, RDS, etc.

• Ability to solve issues across multiple layers: infrastructure, Kubernetes, application runtime

• Communicate effectively across a big organization, both within and outside the Kubernetes Platform organization

Ways to stand out from the crowd:

• Experience working on internal tools and services for large engineering organizations

• Experience working across multiple layers of cloud infrastructure such as CSP APIs, Terraform, Kubernetes, and custom controllers and automation atop

• Experience working deeply in and with the upstream Kubernetes apiserver code

• Background with user-facing APIs with a focus on customer and/or developer experience

What you will be doing:

• Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems.

• Design and implement new communication technologies to accelerate AI and HPC workloads.

• Explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects.

• Build proofs-of-concept, conduct experiments, and perform quantitive modeling to evaluate and drive new innovations.

• Use simulation to explore performance of large GPU clusters (think scales of 100s of 1000s of GPUs)

What we need to see:

• M.S./Ph.D. degree in CS/CE or equivalent experience.

• 3+ years of relevant experience.

• Excellent C/C++ programming and debugging skills.

• Experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC).

• Deep understanding of operating systems, computer and system architecture.

• Solid in fundamentals of network architecture, topology, algorithms, and communication scaling relevant to AI and HPC workloads.

• Strong experience with Linux.

• Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

Ways to stand out from the crowd:

• Expertise in related technology and passion for what you do. Experience with CUDA programming and NVIDIA GPUs. Knowledge of high-performance networks like InfiniBand, RoCE, NVLink, etc.

• Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc. Knowledge of deep learning parallelisms and mapping to the communication subsystem. Experience with HPC applications.

• Strong collaborative and interpersonal skills and a proven track record of effectively guiding and influencing within a dynamic and multi-functional environment.