NVIDIA's Automotive Offensive Security team believes the best defense is a good offense. Securing a sophisticated automotive operating system means finding vulnerabilities then building the tooling needed to find them at scale. We're looking for a senior engineer who can break low-level systems and then automate the insights gained from doing so into reusable security capabilities. What you'll be doing: You'll discover and evaluate vulnerabilities on both source code and binaries, focusing on low-level technologies such as OS kernels, Hypervisor, boot ROMs, firmware, and hardware. More than just bug finding, you'll develop and build automation to scale your work. This includes security pipelines, fuzzing infrastructure, AI-assisted vulnerability discovery, tools for automated code inspection, and code conversion. You'll work closely with security researchers and engineers, owning tool development - from prototype to production - for use across the software organization What we need to see : 7+ years of hands on programming experience, particularly with C/C++. Python and memory safe language (e.g. Rust, Ada/SPARK) proficiency a plus. B.S. or equivalent experience in Computer Science or a related field. Strong low-level systems security background: OS internals, kernels, hypervisors, firmware, or hardware; applying an analytical approach dissecting the functionality of intricate software and identifying security flaws. Experience with embe
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NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. We are now looking for a System Design Engineer in the Graphics Product Team. In this role, you will be working with a team of HW/SW engineers to develop NVIDIA GPU/CPU/SoC based products for GPU cards, Datacenters, automotive, robotics, industrial PC, consumer electronics, etc. NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. We are now looking for a System Design Engineer in the Graphics Product Team. In this role, you will be working with a team of HW/SW engineers to develop NVIDIA GPU/CPU/SoC based products for GPU cards, Datacenters, automotive, robotics, industrial PC, consumer electronics, etc. What You'll be Doing: Build system hardware products around GPU, CPU & Tegra SoC. Collaborate with cross-functional team to pursue the balance of product cost, performance, and schedule under the guidance of system architects and product architects. Drive initial bringup and test, lead the debug efforts.
We are looking for a Sr. ASIC Design Engineer! NVIDIA is seeking best-in-class ASIC Design Engineers to design and implement the world’s leading SoC's and GPU's. This position offers the opportunity to have real impact in a multifaceted, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have developed an outstanding team stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. What you'll be doing: You will document, implement, and deliver fully verified, high performance, area and power efficient RTL to achieve the design targets and specifications. Your responsibilities will include architecture and micro-architecture design, RTL design and synthesis, and logic and timing verification using pioneering CAD tools and semiconductor process technologies. In addition to the design role, you will participate in the verification of the design using sophisticated verification methodologies. You are expected to help define the verification scope and support the development of verification infrastructure. You will collaborate with several ASIC development teams and will need to communicate and coordinate with members of those teams, some of whom are in remote locations. What we need to see: A Bachelors or Masters Degree (or equivalent experience) 5+ years of relevant / meaningful work experience Proven hardware engineering background with a concentration in VLSI and Computer Architecture Expertise in Verilog, System Verilog or similar HDL. Proficient programming in Perl/Python
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice to join us today. We are now looking for a Senior High-Speed IO (HSIO) Validation Engineer! What you will be doing: Own HSIO (PCIe/NVLink) validation of products from start to finish including test plan development, automation, design for validation requirements, resource planning, coverage metrics, test execution, bug resolution, and release to production. Coordinate with internal and external logic design, circuit design, board design, Simulation, diagnostics, firmware, driver, and marketing teams in different time zones, to ensure our products HSIO subsystem is specification compliant and tuned for optimal workload performance, and to drive the system into production. Assist in the bring-up of new hardware and solving tough system and board level issues with a focus on HSIO at a system level. Participate in reviewing board schematics, PCB layouts, and making design and component suggestions. Ensure interoperability with connected devices and system components in sophisticated interconnect topologies. Solve complex hardware and software HSIO issues at the system level on GPU accelerated computing platforms. Provide engineering support for manufacturing in both NPI and MP stages of production. What We Need to See: Ability to work on site in hardwar
We are searching for a Backend Compiler Engineer for an exciting and fun role in our GPU Software organization. Our Compiler team is responsible for constructing and emitting the highest performance GPU machine instructions for Graphics (OpenGL, Vulkan, DX) and Compute (CUDA, PTX, OpenCL, Fortran, C++). This team is comprised of worldwide leading compiler engineering experts who provide leading edge performance and capabilities for NVIDIA's current and future complex parallel SIMT architectures. What you will be doing: Understand, modify, and improve an NVIDIA proprietary GPU compiler backend written in C++ Design and develop new compiler passes and optimizations to produce best-in-class, robust, supportable compiler and tools Work with global compiler, hardware and application teams to oversee improvements and problem resolutions Be part of a team that is at the center of deep-learning compiler technology spanning architecture design and support through functional languages What we need to see: B.S. or degree in Computer Science/Engineering or equivalent experience 4+ years of compiler code generation experience Excellent hands-on C++ programming skills Strong background in software engineering principles with a focus on crafting robust and maintainable solutions to challenging problems Good communication and documentation skills and self-motivated Ways to stand out from the crowd: M.S./PhD. with significant compiler related project or thesis work preferred Background in LLVM code generation including instruction scheduling, software pipelining, register allocation, GlobalISel, TableGen, LLVM IR, and Machine IR (MIR) Experience in developing CUDA, DirectX, OpenGL/Vulkan applications With highly competitive salaries and a comprehensive benefit
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for 30 years. It’s an outstanding legacy of innovation that’s motivated by great technology—and outstanding people. Today, we’re harnessing the boundless possibilities of AI to build the next era of computing in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Be part of the team and explore how you can make a lasting impact on the world! We are looking for a Senior Manager, Software Engineering to lead the evolution of our DevOps, Build Engineering and Infrastructure team. You will build and guide a high-performing engineering team responsible for building, testing, verifying and releasing core software that help NVIDIA employees deliver the core CUDA driver, runtime, and related language specific libraries in C++, Python and Rust such as CCCL (Thrust, CUB, libcudacxx), cuda-python, numba-cuda, and cuda-rust. This hands-on leadership role combines people development, CI/CD, technical strategy, architecture, and end-to-end operational ownership. What you’ll be doing: Lead, hire, mentor, and grow a high-performing team of engineers building employee-facing products software development, CI/CD, and agentic AI experiences. Define the engineering vision, architecture, multi-quarter roadmap, and success measures for a cohesive developer experience and the platform serving a global workforce. Plan and manage team execution, including project prioritization, workload balancing, achievement tracking, dependency management, and predictable delivery. Provide hands-on technical leadership across Perforce, Git, GitHub, GitLab, and multiple CI/CD pl
We are now looking for a Senior Performance Verification Engineer! As a member of our CPU Performance verification Team, you will be responsible for performance correlation, analyzing workloads and benchmarks for performance bottlenecks, developing microbenchmarks and creating the necessary verification infrastructure for performance analysis. This position offers you the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. What you’ll be doing: Technical leadership role to define/plan/implement/execute performance verification strategy of sophisticated CPU designs Ability to delve into lowest level details of CPU unit design specification, implementation and it's performance impact Interactions with architect and design engineers to define detailed scope of micro architectural features Draft detailed performance testplans and define/Create scalable micros to validate features Analysis and correlation of CPU benchmarks/workloads Build infra/tooling needed for efficient performance correlation debug Ability to lead and provide detailed technical guidance to junior engineers Agility to work on multiple tasks/projects What we need to see: BS or MS in EE/ECE or equivalent experience. PhD is a plus 5+ years of experience in CPU performance modeling, performance correlation, performance analysis, or relevant experiences Strong understanding in CPU micro architecture and designs Experience with workload analysis and characterization Strong coding skills in scripting l
NVIDIA is seeking a Senior System Architect to define two foundational areas of the GPU: the mechanisms that manage GPU execution state and the register address and access architecture used across the processor. This hands-on role spans architecture, functional modeling, verification, hardware and software integration, and silicon bring-up. We collaborate across ASIC, firmware, driver, verification, and performance teams to guide features from early exploration through implementation and validation. The resulting architecture will build GPU responsiveness, reliability, scalability, software compatibility, and the way increasingly sophisticated processors are configured and managed. What you’ll be doing: Architect and evolve GPU context-management mechanisms, including efficient methods for saving and restoring execution state. Own the GPU-wide register address map, coordinate address allocation, resolve conflicts, and maintain a scalable architecture through multiple product iterations. Define requirements, interfaces, compatibility expectations, and on-die and cross-die interconnects for register access and programming. Develop C++ functional-model support and collaborate with hardware build, embedded software, device software, testing, and performance groups to translate architectural requirements into coordinated solutions. Evaluate tradeoffs across performance, area, complexity, scalability, reliability, compatibility, and development effort. Build validation strategies, debug cross-stack issues through pre-silicon validation and initial silicon testing, and improve the tools and automation supporting register-interface development. What we need to see: A bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, or a similar field, or equivalent experience. 5+ years of proven experience in computer archit
Are you passionate about the future of autonomous vehicles? Join our DRIVE Road Structure, Online Mapping, and Context Fusion team to help build the next generation of self-driving technology! In this role, you’ll work alongside experienced engineers to develop advanced 3D world models that combine map and perception data, enabling vehicles to safely navigate complex roads and intersections in the U.S. and China. This is a fantastic opportunity to grow your skills and contribute to groundbreaking projects at the heart of our vision for autonomous driving. What you'll be doing: Contribute to Core Autonomous Driving Systems: Help develop and refine systems that integrate state-of-the-art perception and mapping technologies for use in diverse driving environments. Build Real-Time 3D World Models: Assist in creating dynamic 3D models by combining data from sensors and external sources to support planning and navigation. Support Mapless Driving Capabilities: Work on enriched bird’s-eye-view (BEV) models to enable autonomous vehicles to navigate complex urban settings without relying solely on high-definition maps. Enhance Scenario Understanding: Help build static obstacle and occupancy grids, and generate occlusion masks to improve the vehicle’s understanding of its environment. Collaborate Across Teams: Work closely with perception and planning teams, learning from experts and contributing to shared goals. Maintain High Standards: Write high-quality code and follow automotive industry best practices for safety and reliability. What we need to see: PhD with 1+ year, MS with 4+ years, or BS (or equivalent experience) with 6+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field. Strong relevant software development experience, ideally with some exposure to robotics, autonomous vehicles, or relat
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team! NVIDIA Architecture Modeling group is looking for Architects, Software Engineers, and AI application developers to join our various architecture efforts across GPU's and SOC's. In this position, you will be working with other world-class architects on enabling state-of-the-art GenAI applications integrated with simulation platform and architecture teams' process workflows. What you’ll be doing: Develop and deploy scalable GenAI applications that integrate with existing workflows and enhance overall productivity Use state-of-the-art AI tools and techniques to accelerate GPU/ SOC Architecture modeling Work with hardware architects to identify how to best design, customize, and deploy AI-based solutions to their specific problem domains. Collaborate with infrastructure engineers to improve existing automated workflows by incorporating LLMs and establishing best practices for future solutions. Research emerging AI technologies and engineering best practices to continuously evolve our development ecosystem and maintain a competitive edge. What we need to see: BS, MS, PhD or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a relate
NVIDIA is building the software foundation for the next generation of AI infrastructure. As AI workloads continue to evolve, Kubernetes and the cloud-native ecosystem must evolve with them. Our team’s mission is to make Kubernetes the best platform for AI workloads. We work upstream with the Kubernetes and CNCF communities to design new APIs, build production-grade implementations, and shape the future of cloud-native infrastructure for AI. As a Senior Software Engineer, you'll tackle the most challenging problems at the intersection of Kubernetes, distributed systems, and AI infrastructure. What you'll be doing Design, implement, and upstream new capabilities for Kubernetes and CNCF projects. Collaborate with engineering teams across NVIDIA to identify AI infrastructure challenges and solve them through upstream innovation. Work closely with Kubernetes SIGs, Working Groups, and the broader open-source community to design and implement new capabilities. Participate in architecture discussions, API design, technical proposals, and code reviews. Build reliable, scalable infrastructure software for next-generation AI workloads. Write clear technical documentation and design proposals. What we need to see B.Sc/M.Sc or higher in Computer Science, Computer Engineering, or a related field or equivalent practical experience. 5+ years of software engineering experience building distributed systems, cloud infrastructure, or platform software. Deep understanding of Kubernetes and the cloud-native ecosystem. Experience extending, building, or contributing to Kuberne
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary At CVS Health, we are building a world of health around every individual by creating a more connected, convenient and compassionate health experience. The Senior Data Engineering and AI Platforms will lead teams that develop secure, resilient and reusable data capabilities supporting analytics, operational decision-making and intelligent experiences. This leader will translate business priorities into scalable engineering roadmaps, guide cloud and data architecture, and establish disciplined practices for data quality, observability, model enablement and production operations. The role partners across product, architecture, security, governance, data science and business teams to deliver trusted outcomes while prioritizing safety, quality and responsible use of AI. Job Responsibilities Engineering Strategy and Platform Delivery Set the technical direction and multi-quarter roadmap for enterprise data products, ingestion services, transformation frameworks and AI-ready data foundations. Lead the design and implementation of batch, streaming and event-driven solutions across cloud data platforms, balancing performance, reliability, maintainability and cost. <li
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Requisition Job Description Position Summary The Senior Software Development Engineer is responsible for leading the design, development, and implementation of innovative digital solutions that power exceptional member experiences. In this role, you will leverage advanced technical expertise to architect and build cloud-native, microservices-based applications with a strong emphasis on event-driven architecture, modern technology stacks, and emerging AI technologies. You will collaborate closely with cross-functional teams across Digital, Data and Analytics, and Platform Engineering to drive innovation and shape the overall technical direction of our digital engineering initiatives. This position also involves contributing to technical direction, mentoring peers, and partnering with architects and product teams to translate business requirements into scalable, maintainable solutions. The ideal candidate is a hands-on engineer who takes ownership of the full software lifecycle - from design through deployment and operations - and brings a collaborative, problem-solv
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Senior Data Scientist will play a critical role in advancing CVS Health’s commercial product strategy by transforming complex healthcare data into actionable insights that drive measurable business outcomes. Supporting Aetna’s Commercial Product organization, this role will focus on developing and scaling advanced analytics solutions—including AI-powered business advisory capabilities—that uncover trends, generate insights, and enable smarter decision-making across a membership base of 15M+ lives. This individual will operate at the intersection of data science, product strategy, and business leadership, partnering closely with Product, Sales, Actuarial, Marketing, and Underwriting teams to inform product design, pricing strategy, go-to-market execution, and performance optimization. The ideal candidate combines strong technical expertise with business acumen and a proven ability to translate analytics into high-impact growth opportunities and financial results. Required Qualifications 5+ years of experience in data science, advanced analytics, or analytics consulting (7+ years preferred) Proven track record of translating complex data into actionable business insights and measurable outcomes Strong proficiency in statistical modeling, machine learning, and data analysis (Python, R, SQL or equivalent) Experience workin
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary: CVS Health is seeking a Senior Software Engineer to join the team and contribute to architecture, application modernization, cloud adoption, AI integration, and enterprise solution delivery across business-critical platforms. Key Responsibilities: Architect, design, develop, and support enterprise applications using C#, ASP.NET, .NET Core/.NET 8+, Web APIs, and Microservices Lead modernization initiatives involving IBM i (AS400/RPG/RPGLE/DB2) systems and integration with modern technology platforms Design and optimize Microsoft SQL Server databases, including performance tuning, stored procedures, indexing, and ETL processes Implement AI-powered solutions using Azure OpenAI, Microsoft Copilot, Generative AI, AI Agents, and Machine Learning services Develop and maintain scalable cloud-native applications on Microsoft Azure Define architecture standards, security best practices, and development frameworks Collaborate with business stakeholders to translate requirements into technical solutions Lead development teams, conduct code reviews, and mentor junior engineers Drive DevOps adoption, CI/CD automation, and application lifecycle management Required Qualifications: 5+ years of experience in Microsoft technologies (C#, or .Net framework 3+ years o
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