דרושים System Software Engineer - Android Platform Security ב-אנבידיה ב-South Korea, Seoul

NVIDIA DRIVE® embedded supercomputing platforms process data from camera, radar, and lidar sensors to perceive the surrounding environment, localize the car to a map, then plan and execute a safe path forward. This AI platform supports , , and , plus other safety features—all in a compact, energy-efficient package. We need passionate, hard-working and creative people to help us tackle more of these challenging opportunities in Autonomous Driving and In-Car Infotainment.

What you’ll be doing:

• Develop solutions around NVIDIA GPU and Deep learning accelerators to realize DNNs for ADAS Systems.

• Optimize DNNs for the GPU and other hardware accelerators like DLA using CUDA/TensorRT.

• Improve DNN architectures using ML algorithms on NVIDIA GPUs or DLAs.

• Conduct benchmarking and evaluation activities to continuously improve inference latency, accuracy and power consumption of DNNs.

• Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas to improve NVIDIA's automotive DNNs.

• Responsible for the technical relationship and assisting the automotive customer in building creative solutions based on NVIDIA technology.

• Collaborate with engineering teams in our US, APAC, India and Europe locations.

What we’d like to see in you:

• BS/MS or higher degree in Computer Science, Computer Engineering or Electrical Engineering.

• Experience in developing or using deep learning frameworks (e.g. TensorFlow, Keras, PyTorch, Caffe, ONNX, etc.).

• 5+ years of experience in optimizing DNN Layers for GPU or other DSPs.

• Proficiency in C and C++ and Data Structures.

• Strong OS fundamentals and knowledge of CPU/GPU architecture.

• Familiar with state-of-the-artCNN/LSTM/Transformersarchitecture.

Ways to stand out from the crowd:

• Strong analytical and problem solving skills, with good attention to details.

• Background with NVIDIA software libraries such as CUDA and TensorRT.

• Experience in automotive development processes like ASPICE or ISO26262.

• Excellent communication and organization skills, good time management and task prioritization.

• Open source project ownership or contribution, GitHub repositories, guiding and/or mentoring experience.

• Understanding of the DRIVE or NVIDIA GPU hardware.

What you'll be doing:
As a Support Solutions Engineer in NVIDIA Enterprise Experience, you'll work with Enterprise customers and internal teams to improve the availability and reliability of NVIDIA AI Enterprise products. Your main duties are:

• Taking ownership of and driving customer issues related to NVIDIA AI Enterprise software and hardware deployments, both internally and at Cloud Service Providers (CSPs), from inception through to resolution.

• Working with customers across the NVIDIA Datacenter solution full stack (including DGX Server, Networking, Storage, Applications)

• Bringing independent analysis, communication, and problem-solving skills to improve the customer experience.

• Authoring and incorporating technical solutions into our knowledge base.

• Collaborating closely with engineering teams to detail, reproduce, resolve issues and research new use cases with GPUs.

What we need to see:
To be successful in this role, we are looking for candidates who meet the following criteria:

• BS in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent experience.

• 5+ years of experience in system software development, cloud infrastructure, and troubleshooting customer issues.

• Strong understanding of computer science concepts with excellent knowledge of Python and scripting methodologies.

• Proven grasp of datacenter, cloud, and Artificial Intelligence technologies to provide comprehensive solutions for sophisticated installations, maintenance, or operations.

• Superb professional-level interpersonal and communication skills, essential for working closely with customers and engineers.

• A self-starter with a passion for solving problems, intellectual curiosity, positive approach, flexibility, analytical ability, self-motivation, and a team-oriented attitude.

• Experience with PyTorch, TensorFlow or AI Frameworks

Ways to stand out from the crowd:
While the above qualifications are essential, the following experiences will make you an exceptionally strong candidate:

• Experience as a developer and/or support team member addressing customer concerns for large enterprise/service provider customers at a company that produces AI and data analytics software.

• Background with Server Hardware Support and Linux systems

• Experience developing with C and/or Python.

• Certified in CSP (Azure, AWS, GCP or OCI) or Hypervisor (Citrix, Nutanix, Red Hat or VMware) Technologies

• Experience using Kubernetes, Docker and other cloud native technologies

What you’ll be doing:

• Support the DRIVE OS part of the NVIDIA’s autonomous driving software stack.

• Work closely with internal software groups to understand the requirements, design and implementation of the base software layer (Linux/QNX OS and device driver components).

• Support OEM customers to port DRIVE OS to their HW platform and ensure the program requirements and criteria are met.

What we need to see:

• Degree from a leading university or equivalent experience in an engineering or computer science related field (BS; MS or PhD preferred).

• 5+ years of work experience in software development.

• Fundamental knowledge on SoC architectures and on-chip components.

• Strong knowledge of C/C++/Python, QNX and/or Linux OS.

• Understanding of CPU/GPU architectures, data structures, OS internals, multi-threading, inter-process communications, memory management techniques.

• Extensive hands-on experience in BSP porting and device driver internals.

• Knowledge and experience working inMulticore/heterogenousSoCs,camera/imaging/video/graphics/computesystem.

• Prior experience of working in software development in complex automotive systems.

• Excellent communication and organization skills, with a logical approach to problem solving, good time management and task prioritization as well as interpersonal skills.

• Willingness to travel around worldwide to support NVIDIA partners.

Ways to stand out from the crowd:

• Experience with QNX OS for Safety (QOS).

• Exposure in hypervisors and virtualization.

• Experience with Automotive SPICE and/or ISO26262 standards.

• Extensively supported customers both onsite and offsite.

• Self-motivated and work effectively across different functional teams.

We present you with an opportunity where you will be part of the team that develops the platform security software that powers Android products that are accelerated, disaggregated and software-defined to meet the exploding growth in AI and high-performance computing. In this role, you'll be responsible for defining, implementing, and enhancing Android platform security features of Product security on Android devices. You will work with cross-functional engineering and product teams.

What you will be doing:

• Develop and improve Android security features for Tegra SoCs

• Develop bare metal software and applications for various security use cases and Trusted Firmware projects such as OP-TEE and TF-A

• Debug and fix security issues by implementing countermeasures to mitigate exploitation of vulnerabilities

• Perform design and code review to improve security software

What we need to see:

• Master of Science in Electrical Engineering, Computer Science, Computer Engineering or Bachelors (or equivalent experience).

• Strong C/C++ programming skills.

• 3+ years of experience in Android platform technologies.

• Strong background with Android security feature development.

• Excellent written and verbal communication as well as interpersonal skills.

Ways to stand out from the crowd:

• Experience with DRM (Widevine or PlayReady), HDCP, SELinux, threat modelling or hardware backed trusted applications.

• Strong background in platform security for Android: Trusty, h/w-backed keystore, secure enclave, verified boot, and authentication.

• Skilled kernel or driver programmer and strong hands-on system bring-up experiences

• Experience with cryptography, security protocols and standards.

• Familiar with ARM or RISC-V architecture and related security fundamentals.