Software Quality Assurance jobs

What you’ll be doing:

• Work closely with passionate engineers to design, develop, optimize, debug, unit test, document and maintain next-generation graphics and computing features for NVIDIA GPUs.

• We work on next-generation GPU hardware and software features through all phases of development, and you will get an opportunity to work across user and kernel stacks.

• Also work on customer issues and provide timely root cause of the problem and resolution.

• Collaborate with many internal teams (software, hardware, architecture, QA and OEM support), partners and customers to define new products and features, and resolve issues.

What we need to see:

• BS degree or higher or equivalent experience (computer science or related).

• 12+ years of industry experience.

• In depth understanding of Windows or Linux device drivers, PC architecture and ability to work close to the hardware.

• Proficient in C/C++ with strong software development, optimization and analytical skills.

• Strong debugging skills and extensive experience using gdb/kgdb/windbg to analyze complex pieces of software.

• Strong articulation skills for crafting and improving technical documents, and to engage globally distributed engineering team.

Ways to stand out from the crowd:

• Understanding of Virtualization concepts and system software for ESX, Hyper-V or KVM.

• Knowledge of DX/OGL graphics technologies, WDDM model.

• Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.).

What you will be doing:

• Lead design and development of cutting-edge end-to-end reference system stack for 5G/6G baseband system.

• Developing and integrating modules like PDCP, RLC, MAC for 5G/6G air interface and L3 control plane.

• Work in lab environment to trouble-shoot and integrate complex software modules!

• Develop software, implementing new functions in C/C++/Python/CUDA in a multi-core environment.

• Support system integration, performance testing, system demonstration and lab trials for end-to-end system.

• Engage with customer field trials and technical teams.

• Be a technical bridge between engineering team and partners/customers engineering team!

• Help in implementing missing features to unblock progress at customers/partners.

What we need to see:

• 8+ years of LTE/5G network system experience focused on Radio Access Network.

• Bachelor’s or Master degree in electrical or computer science or related field (or equivalent experience).

• We are seeking candidates with end to end RAN integration knowledge.

• Experience in building RAN products like baseband system (eNB or gNB).

• Experience with cloud RAN, software defined networking, 5G macro and small cell deployments.

• Familiar with NFV, software virtualization, VM, containers and VNF’s.

• We seek experience in integrating with 5G NG and EPC cores.

• Experience in integrating with PHY layer.

• Direct experience in development, integration and testing of BBU functions like PHY, MAC, Scheduler, RLC, PDCP and RRC.

• Proficient in developing code using C/C++ on Linux based platform.

What you'll be doing:

• Enhance and maintain current-generation infrastructure and tools, addressing the needs of our customers for better platform capabilities, performance, and stability.

• Support partners in the development and deployment of their streaming experiences.

• Deploy various services and oversee their reliability and security.

• Write effective, clear and reliable architecture requirements and design specifications.

• Work closely and simultaneously with multiple NVIDIA expert teams around the world.

What we need to see:

• B.Sc./M.Sc. degree in Computer Science, Computer Engineering (or equivalent experience).

• 10+ years experience as a Full-Stack Software Developer.

• Broad knowledge and understanding of networking protocols and common network topologies, with a deep understanding of Cloud-based audio and video streaming.

• Hands-on cloud virtualization, networking, and orchestration experience.

• A combination of React, Javascript, Typescript, C/C++, Python or Go programming skills.

• Willingness to be full-stack across both frontend and backend is a must.

• Ability to understand customer needs and translate them into functional and user experience enhancements.

• Hands-on Linux development experience.

• Strong design, coding, analytical, debugging, and problem-solving skills.

• Excellent communication, documentation, and presentation skills.

Ways to stand out from a crowd:

• Background with data center technologies, network topologies and Cloud.

• Experience with Docker, Containers, Kubernetes components & subsystems.

• Experience with Proton and other virtualization technologies.

• Good understanding of operating systems and drivers.

• Experience developing and deploying deep-learning models: LLMs, text-to-speech, and more.

What you’ll be doing:

• Design, build, and run cloud infrastructure services in scope to meet our business goals performing integrations, migrations, bringups, updates, and decommissions as necessary.

• Participate in the definition of our internal facing service level objectives and error budgets as part of our overall observability strategy.

• Eliminate toil or automate it where the ROI of building and maintaining automation is worth it.

• Practice sustainable blameless incident prevention and incident response while being a member of an on-call rotation.

• Consult with and provide consultation for peer teams on systems design best practices.

• Participate in a supportive culture of values-driven introspection, communication, and self-organization

What we need to see:

• Proficiency in one or more of the following programming languages: Python or Go

• BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent experience.

• 5+ years of relevant experience in infrastructure and fleet management engineering.

• Experience with infrastructure automation and distributed systems design developing tools for running large scale private or public cloud systems at scales requiring fully automated management and under active customer consumption in production.

• A track record demonstrating a mix of initiating your own projects, convincing others to collaborate with you, and collaborating well on projects initiated by others.

• In-depth knowledge in one or more of the following: Linux, Slurm, Kubernetes, Local and Distributed Storage, and Systems Networking.

Ways to stand out from the crowd:

• Demonstrating a systematic problem-solving approach, coupled with clear communication skills and a willingness to take ownership and get results such as experience driving a build / reuse / buy decision.

• Experience working with or developing bare metal as a service (BMaaS) associated systems. For example, vending BMaaS, or Slurm running on containers, or vending Kubernetes clusters. Experience working with or developing multi-cloud infrastructure services. Experience teaching reliability engineering (e.g. SRE) and/or other scale-oriented cloud systems practices to peers and/or other companies (e.g. CRE). Experience in running private or public cloud systems based on one or more of Kubernetes, OpenStack, Docker or Slurm.

• Experience with accelerated compute and communications technologies such BlueField Networking, Infiniband topologies, NVMesh, and/or the NVIDIA Collective Communication Library (NCCL).

• Experience working with a centralized security organization to prioritize and mitigate security risks. Prior experience in a ML/AI focused role or on a team matching specific keywords is welcome but not required.

What you’ll be doing:

• 100% kernel coding role

• Own end-to-end design and development, challenging existing paradigms and exploring innovative approaches for RDMA and high-speed TCP-based networks.

• Collaborate closely with cross-functional teams to define and implement robust networking algorithms, data management strategies, and distributed systems principles.

• Contribute to architecture, integration, and alignment with both on-prem and cloud-native platforms.

• Optimize system performance and reliability through in-depth analysis and low-level tuning.

• Stay up to date with the latest industry trends and contribute to open-source projects.

What we need to see:

• B.S. or M.S. degree in Computer Science or Electrical Engineering (or equivalent experience).

• 12+ years experience in development

• Proven professional experience in designing and developing distributed systems; advantage for experience in block storage and networking systems, advantage for cloud environments.

• Strong proficiency in C/C++ programming. Experienced with Linux Kernel internals including block subsystem, IO stack, memory management, and scheduling.

• Familiarity with storage protocols and standards, especially NVMe.

• Knowledge of networking fundamentals and experience in Linux-based networking environments.

• Familiarity with RDMA technologies, including Infiniband, RoCE, or iWARP, and experience with RDMA programming models, control and data paths.

• Knowledge of cloud computing concepts, including virtualization, scalability, and data management.

Ways To Stand Out From The Crowd:

• Excellent communication skills and a collaborative mindset.

• Perseverance and determination in debugging complex problems.

What you will be doing:

You will be responsible for design, development, and delivery of core components of our next-generation VLSI productivity platforms.

• Design, build, deploy, and improve highly scalable systems

• Translate high-level requirements into actionable plans/deliverables

• Leverage LLMs to accelerate (not replace) your contribution while taking ownership of your output

• Convert legacy codebases into modern powerhouses infused with industry best-practices

• Collaborate with engineering teams to identify and alleviate bottlenecks in their daily tasks

What we need to see:

• B.S. CS/EE (or equivalent experience)

• 5+ years developing large-scale software applications in Go and Python

• Solid computer science fundamentals in algorithms/datastructures/complexityanalyses

• Understand processes, synchronization, locks, concurrency, and load-balancing

• Excellent grasp of distributed systems and compute abstractions

• Experience building custom solutions around open-source products and libraries to solve feature-gaps fast

Ways to stand out from the crowd:

• 5+ years in an enterprise engineering environment, shipping at scale

• Experience in partitioning and optimizing complex interconnected systems

• Understand filesystems, job-scheduling, and inter-process signaling

• Highly self-sufficient in the face of ambiguity, with strong reasoning and problem-solving skills

• Rapid comprehension of existing codebases (in any language) to implement high-leverage changes effectively