דרושים Senior System Software Engineer - Autonomous Vehicles ב-אנבידיה ב-India, Maharashtra, Pune

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.

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.

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.

• Carry out extensive power and performance assessments on CPU, GPU, SoC, and system platforms in diverse work scenarios.

• Characterize system behavior across different states, such as idle, active, and low-power, ensuring smooth and efficient transitions.

• Analyze power telemetry, firmware traces, and OS metrics to identify and mitigate bottlenecks, driving flawless performance.

• Collaborate with hardware, BIOS, OS, and driver teams to strictly enable and improve new power features.

• Develop and maintain automation scripts and tools for seamless data collection and analysis.

• Prepare detailed reports and dashboards to summarize findings and determine recommended optimizations.

• Assist in identifying and troubleshooting power and performance issues to guarantee the effective execution of solutions.

• 5+ Years of experiene with Bachelor’s or Master’s degree or equivalent in Electrical Engineering, Computer Engineering or a related field.

• Strong understanding of power management concepts, including P-states, C-states, T-states, DVFS, package power limits, and thermal throttling.

• Proven experience with power tools on Windows/Linux platforms, such as WPA, HWInfo, ETL, Xperf, and PowerCfg.

• In-depth knowledge of SoC architecture, including CPU, memory, I/O subsystems, and firmware (BIOS/UEFI/EC).

• Proficiency in scripting languages such as Python, PowerShell, or Bash for test automation and data parsing.

• Strong analytical, debugging, and problem-solving skills to compete in a fast-paced environment.

• Experience with x86/ARM power frameworks.

• Familiarity with AI or ML-based power optimization approaches.

• Exposure to SoC validation tools and firmware debugging.

• Knowledge of battery modeling and energy efficiency benchmarking.