דרושים Senior System Software Engineer - Graphics ב-אנבידיה ב-India, Pune

What you'll be doing:

• Take ownership and drive customer issues on system software, server diagnostics and containers

• Develop features and tools as part of solution engineering efforts to support all Enterprise Service offerings including, but not limited to NGC, Container Orchestrators (such as Kubernetes), GPU accelerated applications

• Build upon the opportunity to research new use cases with GPUs for emerging container technologies

• Bring independent analysis, communication, and problem-solving to customer experience

What we need to see:

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

• At least 5+ years system software development and troubleshooting experience, ideally with some customer facing

• Intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team-oriented

• Strong computer science concepts and excellent knowledge of C/C++, Python and scripting methodologies

• Deep understanding of at least two of the following: data centers, servers, distributed systems, virtualization, server diagnostics, embedded systems

• You'd have cultivated a deep Linux knowledge, and be very comfortable working in various Linux environments as well as with Windows OS’s

• Professional-level communication skills, interpersonal skills with a passion to solve problems

Ways to stand out from the crowd:

• Proven experience in developing, triaging and debugging on Linux, system software, server diagnostics and Containers

• Experience working with distributed systems especially container orchestrators

• Any exposure to system level debug and triaging experience

What you will be doing:

• Work with a geographically distributed partner organisation to understand, modify and improve CPU Compiler SW at NVIDIA.

• Contribute new features and optimisation techniques.

• Develop compiler SW that is optimised for performance.

• Be part of a team that is at the centre of AI, HPC and data centre technologies.

What we need to see:

• BS or MS degree in Computer Science, Computer Engineering, or related field or equivalent with minimum 3 years of work experience

• Experience with compiler development or a related academic or project.

• Knowledge of Language Front-Ends or Compiler optimisation techniques and code generation modules.

• Strong hands-on C++ programming skills

• Excellent verbal and written communications skills

Ways to stand out from the crowd:

• Familiarity with CPU architectures such as x86_64, PPC, RISC-V, Arm Architecture (AArch32, AArch64) or DSPs.

• Familiarity with industry standard compiler infrastructure such as LLVM and / or GNU Toolchain

• Knowledge of AI algorithms, scientific HPC applications and related code optimisations.

• A track record of contributing to open source compiler communities.

What you'll be doing:

• You will be solving a real world problem of Implementing, designing and helping develop a new Enterprise class Product from ground-upand delivering highly scalable services with Amazon Web Services, “serverless” and microservice architectures

• Support and enhance virtual appliances based on Containers and Hypervisor based platforms and aspire to be a full stack development engineer with primary focus on backend.

• Collaborate with your peers and leaders in cloud, security, and enterprise software to design, develop, test, and maintain our public web service in a globally distributed team.

• Implement and maintain security best practices, including vulnerability scanning and compliance with NVIDIA’s cloud API governance standards.

• Work on mission-critical infrastructure powering NVIDIA’s software ecosystem.

What we need to see:

• A problem solver, with a demonstrable track record of delivering highly scalable RESTful Services for an Enterprise scale product in an agile environment in following Technology Stack:

  • GoLang, Java, Python, Scala

  • Spring Boot, Spring Cloud,Flask, RabbitMQ, PostgreSQL, MySQL, No-SQL, Databases, Redis, Aurora.

  • Containerized platforms like Dockers, Kubernetes or OpenShift etc.

  • CI/CD pipelines, automated testing, and performance profiling.

  • Linux Platforms

  • AWS Cloud Infrastructure and Micro-services architecture

• Solid foundation in data structures, algorithms, and design patterns with Security-first mindset.

• Understanding of frontend architecture, building large scale single-page web applications

• Excellent communication and collaboration skills; ability to work with global teams and cross-disciplinary stakeholders.

• BE/Btech in Computer Engineering with minimum 5+years or MTechin Computer Science with 3+ years relevant work respectively

Ways to stand out from the crowd:

• Curiosity and eagerness to explore new problem spaces and technologies.

• Sound Knowledge of working with Hypervisors like ESXi, KVM or XenServer etc

• Experienced in DevOps tools like Jenkins, Terraform, GitLab, Prometheus

• Full Stack Experience with UI frameworks like React or Angular

• Excellent interpersonal skills.

• Define team wide as well as individual members’ roadmap and development plan.

• Drive and strive to be a strong advocate with internal teams as well as externally partners on roadmap and alignment.

• Promote architecture and development process improvements.

• As a key engineering leader, you will closely engage and work with engineering teams across the organization.

• Excel at communicating and collaborating with peer teams on project planning and execution for new HW/OS/features with tight release cadence.

• Passion providing career as well as technical mentorship to engineers.

• You work with close engagement with the team on POR, design, implementation and results.

• Obsess about quality and deliver products to end users.

• Possess strong communication and interpersonal skills.

• Deep background on computer architecture and operating system, with hands-on kernel development experience.

• We want top-tier leader with 3 years+ of management experience, with proven track record of delivering large code base at high velocity.

• We require BS or MS degree in Computer Engineering, Computer Science, or related degree and 8+ overall years of experience

• Hands-on development experience with WDDM and Windows platform.

• Intimate knowledge on one or more areas with the Windows platform, in both hardware and SW.

• Leading silicon bringup experience!

• Experience with leading the team from the front in delivering SW, defining and refining methodologies and practices!

What you’ll be doing:

• Work alongside forward-thinking engineers on core technologies and implement algorithms and optimize software to solve challenging computer vision and deep learning problems & create features for state-of-the-art applications.

• We'll give you exposure to the rapidly evolving space of deep learning computer vision. And you will be working on many groundbreaking features and applications that are transforming our industry.

• We will see features go through the whole cycle - from proof-of-concept to production.

• Together we will communicate with multiple teams in our company, as well as our partners and customers.

What we need to see:

• Hands on experience with building, training and optimizing neural networks with strong focus on video processing and 3D.

• Hands on expertise with one or more Deep Learning frameworks (Pytorch, Tensorflow, etc.).

• Passion for optimizing network performance at kernel level for scalability across hardware.

• Experience in different learning techniques.

• Proficiency in Python programming & C/C++ programming.

• CUDA programming experience would be a plus.

• Familiarity with software lifecycle-based processes

• Strong communication and analytical skills

• Self-motivated, fast to act and eager to learn as well as guide.

• Bachelor/Master/PhD in Computer Science or Electronics or Electrical Engineering.

• 5+ years of experience developing systems software on Windows or Linux.

Ways to stand out from the crowd:

• Experience with optimizing deep learning algorithms for real time processing based on different platform form factors.

• Exposure to video conferencing, broadcasting applications and environments.

• Familiarity with AR applications.

• History of publications.

What you’ll be doing:

• Partner alongside forward-thinking engineers to implement and optimize software to provide new capabilities in NVIDIA AI for Multimedia components as well as improve the existing features and framework architecture for different GPUs, CPUs and system OS platforms.

• Exposure to integrating evolving computer vision SDKs into applications & use cases on different platforms. We would be working on many groundbreaking features and their application that are redefining our industry.

• We will see features go through the whole cycle - from proof-of-concept to production.

• Together we will connect with multiple teams in our company, as well as our partners and customers.

What we need to see:

• Proficiency in C++ programming and debugging.

• You have a knack for full stack development - from implementing frameworks and interfaces to understanding the impact and consequence on the hardware.

• Passion for optimizing system performance, root causing bottlenecks and optimizing performance on GPU, CPU and memory.

• Strong knowledge of OS fundamentals and familiarity with device driver stacks.

• You have knowledge of usage of at least one graphics, video or image processing library (Direct3D, Vulkan, OpenGL, OpenCV, etc. or any proprietary library) in visual domain.

• CUDA programming experience would be a plus.

• Strong software engineering background and design fundamentals particularly related to creating robust system software.

• Familiarity with software lifecycle-based processes.

• Strong communication and analytical skills.

• Self-motivated, fast to act and eager to learn as well as guide.

• Bachelor/Master/PhD in Computer Science or Electronics or Electrical Engineering.

• 5+ years of experience developing systems software on Windows/Linux/iOS.

Ways to stand out from the crowd:

• Exposure to video conferencing, broadcasting applications and environments.

• Experience working with computer vision, image, video processing systems.

• Familiarity working with camera, mic, speaker devices.

• Knowledge of graphics hardware accelerated systems on PC or embedded systems.