We are seeking a strong technology leader to manage our Server Software Technical Program Management (TPM) team. This role is at the cross-section of execution and strategy, leading a team of Senior TPMs who drive the firmware and system software for NVIDIA's next-generation server platforms like DGX, MGX, and HGX.
\nAs a Senior SBIOS Firmware Engineer - Bootloader, you will design and develop firmware for NVIDIA's ARM-based CPUs. You will collaborate with hardware architecture teams to identify opportunities to improve our architecture and make it more performant generation to generation.
\nKey responsibilities include:
\nRequirements include:
\nPreferred qualifications include:
\nNVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
","enriched_at":1777291861943},{"id":"job_2a52c86f-9eb","title":"Principal Engineer, Data Center Power Software","source_url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-WA-Redmond/Principal-Engineer--Data-Center-Power-Software_JR2016877","location":"Redmond","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"We're looking for a Principal Engineer to join our team in Redmond. As a Principal Engineer, you will be responsible for gathering use cases and requirements, translating them into software roadmaps, and executing those roadmaps across internal NVIDIA teams and external partners.
\nYou will report project status, risks, help needed, and roadmap pivots to internal and external executives via status reports and in-person meetings. You will also broker technical discussions between highly technical subject matter experts and leverage AI tools and workflows to quickly iterate on designs, prototypes, documentation, tests, and code.
\nThe ideal candidate will have a BS or higher in Computer Science or equivalent experience, with 15+ years of meaningful industry experience with a strong scalable system software development background. They will also have experience with APIs and interface design, AI tools and development workflows, and outstanding written and verbal interpersonal skills.
\nIn addition, the candidate should be able to manage time in a fast, heavily multitasked environment, with development experience with Rust, Python, and/or GoLang. They should also have development experience with distributed systems and concurrent applications, especially in a Kubernetes environment.
\nAs a Principal Engineer, you will be responsible for architecting distributed, robust, and scalable GoLang and Rust system software, deployed to monitor and manage large datacenters. You will also be responsible for producing clear technical documentation, design docs, and status updates that keep cross-functional partners aligned.
\nIf you have development experience in relevant coding languages like GoLang and Rust, experience with SCADA or Data Center power related software, and a background with containers (e.g. Docker, OCI), orchestration frameworks, and logging/telemetry backends with Kubernetes monitoring stacks with tools such as Prometheus, Loki and Grafana, then we encourage you to apply!
","enriched_at":1777291856824},{"id":"job_9ec3bac9-3b9","title":"Senior System Software Engineer, NvSci","source_url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/India-Bengaluru/Senior-System-Software-Engineer--NvSci_JR2013118","location":"Bengaluru","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"We are searching for a creative and highly motivated engineer with deep expertise in system software to join our NvSci team as part of NVIDIA DRIVE platforms. NvSci technology provides a sophisticated set of libraries for generation and processing of images and higher-dimensional data, enabling DRIVE SW Safety & Security Architecture. It delivers advanced streaming solutions that let NVIDIA DRIVE users develop software frameworks and distributed applications that:
\nOptimize use of NVIDIA hardware acceleration capabilities Seamlessly port across NVIDIA platforms Scale from simple deployments to complex hardware systems
\nOur work spans automotive to data centers, ensuring robust performance, scalability, and real-time monitoring. In this fast-evolving field, we continuously adopt the latest practices to enhance software integrity and reliability.
\nWhat you’ll be doing:
\nDefine and drive a comprehensive verification strategy with clear quality goals and CI gates. Scale automated testing frameworks across CI environments and target hardware to ensure continuous, high-quality validation throughout the development lifecycle. Architect high-signal test strategies for NvSci middleware, NvStreams, and NvIPC,including stress, fault-injection, fuzzing, and regression testing,to ensure robustness under extreme conditions and compliance with ISO 26262, ASPICE, and ISO 21434. Lead verification efforts focused on system robustness, error handling, and graceful degradation and recovery, ensuring functional safety compliance and reliable operation across varied automotive use cases and failure scenarios. Partner with engineering teams to champion design-for-testability, creating robust interfaces, diagnostics, and tooling that simplify debugging, improve observability, and elevate developer experience and software maintainability. Design and implement next-generation NvSci software and APIs that provide seamless cross-platform functionality and integration with user applications and acceleration libraries on diverse SoCs. Evaluate trade-offs in resource-constrained environments to optimize performance and middleware efficiency. Research, adopt, and integrate advanced software engineering practices, automation tooling, and generative AI–driven workflows to improve the reliability, scalability, and long-term maintainability of NvSci components and associated middleware.
\nWhat we need to see:
\nBS or MS in CS/CE/EE or related engineering field, or equivalent experience 7 + years of relevant software development experience Proficiency in C/C++ and Python Experience in system architecture and embedded systems, building complex systems with multiple threads, CPUs, accelerators, and chips Strong understanding of operating systems Excellent written and verbal communication skills, with the ability to clearly convey complex technical concepts Demonstrated problem-solving skills, with a track record of driving solutions from concept to production Ability to work effectively in cross-functional, distributed teams
\nWays to stand out from the crowd:
\nKnowledge of automotive quality and safety standards: ASPICE, ISO 26262, ISO 21434 Experience with formal verification methods and tools (for example, TLA+) Experience in process automation and workflow optimization in large-scale software environments Understanding of the unique challenges in autonomous vehicle software systems, specifically around safety, security, and real-time performance
","enriched_at":1777291852135},{"id":"job_b1ed6d48-97c","title":"Senior Engineering Manager - Compute Server Bring Up","source_url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Engineering-Manager---Compute-Server-Bring-Up_JR2008574","location":"Santa Clara","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"We are seeking an excellent Senior Engineering Manager to lead the Compute Server Bring-Up team. This team is responsible for the bringup, integration, validation and troubleshooting for compute tray platforms of GPU Racks , ensuring servers are fully functional and validated as per requirement before mass deployment in data centers.
\nYou will directly lead all aspects of a group of bringup engineers and form a larger virtual team spanning across NVIDIA software & firmware teams to ensure successful bring up compute platforms both internally and with customers.
\nKey responsibilities include:
\nRequirements include:
\nPreferred qualifications include experience leading bring-up for sophisticated compute architectures like GB200 NVL72.
","enriched_at":1777291843819},{"id":"job_2caa991c-4b6","title":"Senior Software Architect - Deep Learning and HPC Communications","source_url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Software-Architect---Deep-Learning-and-HPC-Communications_JR2001099-1","location":"Santa Clara","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"We're seeking a Senior Software Architect to help co-design next-gen data center platforms and scalable communications software. DL and HPC applications have huge compute demands and already run at scales of up to tens of thousands of GPUs. Efficient and fast communication between GPUs directly impacts end-to-end application performance. This impact continues to grow with the increasing scale of next generation systems.
\nAs a Senior Software Architect, you will investigate opportunities to improve communication performance by identifying bottlenecks in today's systems. You will design and implement new communication technologies to accelerate AI and HPC workloads. You will explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects.
\nKey responsibilities include: 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 quantitative modeling to evaluate and drive new innovations. Use simulation to explore performance of large GPU clusters (think scales of 100s of 1000s of GPUs)
\nRequirements include: M.S./Ph.D. degree in CS/CE or equivalent experience. 5+ 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.
\nPreferred qualifications include: 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.
\nYou will also be eligible for equity and benefits.
","enriched_at":1777291830657},{"id":"job_70383411-649","title":"Research Scientist, 3D Computer Vision","source_url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Germany-Munich/Research-Scientist--3D-Computer-Vision_JR2011610-1","location":"Munich","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"We are searching for an outstanding computer vision and deep learning researcher to join our dynamic vision and learning research team. You will research, design and implement novel techniques for 3D computer vision, including pose estimation and localization. Your work will involve publishing original research, mentoring PhD students and interns, collaborating with other teams and uncovering research needs within NVIDIA, and collaborating with external researchers.
\nTo be successful in this role, you must hold a Ph.D. in Computer Science/Engineering, Mathematics, or a related field. You should have excellent knowledge of theory and practice of computer vision methods, as well as deep learning. Proficiency in programming languages such as Python, C++, and parallel programming (e.g., CUDA) is required. Familiarity with common machine learning frameworks, such as PyTorch, is also necessary. You should have an outstanding research track record, with publications in top venues such as CVPR, ICCV, ECCV, NeurIPS, ICML, and ICLR. Excellent communications skills and good knowledge of version control systems, such as git, are also essential.
","enriched_at":1777291823201},{"id":"job_a96962c7-2ed","title":"Senior Technical Program Manager, Deep Learning Software","source_url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Senior-Technical-Program-Manager--Deep-Learning-Software_JR2016653","location":"Shanghai","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"The Deep Learning Software Team at NVIDIA is seeking a Senior Technical Program Manager to lead software initiatives and develop Gen AI models enabling NVIDIA's most advanced AI researchers and engineers to create the future of computing.
\nThis leader will guide engineering programs using the best industry processes well suited to our fast pace and rapidly expanding roadmap.
\nWe are offering an enriching student position for a dedicated and driven Software Engineering student to join our team. This role is perfect for a student passionate about software engineering and interested in VLSI Backend CAD tools.
\nAs part of our team, you will gain invaluable experience by learning from experienced engineers and contributing to the development of top-quality CAD tools and flows for our Backend team.
\nResponsibilities:
\nSupport chip development teams by building software tools, automations, and AI-driven solutions that improve engineering productivity and design workflows. Contribute to the development of internal applications and flows across the full software lifecycle, including design, implementation, testing, deployment, and maintenance. Partner with engineers across DA and chip development teams to identify opportunities where AI can accelerate debugging, analysis, knowledge access, and workflow automation. Prototype and develop practical AI solutions such as copilots, intelligent assistants, and agent-based workflows that integrate with engineering tools and data sources. Collaborate with senior engineers to bring innovative ideas into production in a high-impact, fast-paced environment.
\nRequirements:
\nPursuing a BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field. Strong programming fundamentals, including object-oriented design and proficiency in Python. Strong analytical thinking, debugging, and problem-solving skills. Demonstrated interest in AI through hands-on projects, coursework, research, hackathons, or personal initiatives. Experience building practical AI applications using LLMs, agents, or workflow automation frameworks. Strong communication skills and the ability to work effectively in a collaborative team environment.
\nNice to Have:
\nHands-on experience building AI agents, copilots, or intelligent automation tools that solve real user problems. Experience integrating AI systems with APIs, databases, developer tools, or external services. Background in web applications, UI development, or building user-facing internal tools. Familiarity with data structures and algorithms, including graph-related concepts. Experience with Linux, SQL, and additional programming or scripting languages such as C++, Tcl, Perl, or Shell. Exposure to modern AI frameworks, evaluation methods, prompt design, or retrieval-based systems. Familiarity with VLSI, EDA workflows, or semiconductor development environments.
","enriched_at":1777291806073},{"id":"job_70df9679-b67","title":"Senior SBIOS Firmware Engineer - UEFI","source_url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-SBIOS-Firmware-Engineer---UEFI_JR2014282","location":"Santa Clara","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"We're looking for a Senior SBIOS Firmware Engineer to join our team. As a key member of our firmware development team, you will be responsible for designing, implementing, and delivering innovations for managing GPU-based AI servers with a focus on OOB management, firmware development, server architecture, and building systems for enterprise.
\nYour primary responsibilities will include:
\nTo be successful in this role, you will need to have:
\nIf you're a self-starter who loves to find creative solutions to exciting problems, we want to hear from you!
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