Top Senior Software Engineer Jobs

Develop scalable distributed storage management systems for NVIDIA’s large-scale engineering infrastructure. Collaborate with hardware and software teams to define features, optimize workflows, improve software design and testing, and deliver reliable storage solutions. The role requires Linux, storage systems, networked distributed systems, Perl, and Python expertise, with responsibility for architectural decisions balancing cost, performance, reliability, and scalability.

Develop and maintain graphics system software, user-mode drivers, platform code, APIs, and SDKs across GPU architectures and operating systems. Ensure backward and forward compatibility across driver releases, collaborate on graphics and deep learning technologies, and support next-generation GPU design, development, and validation.

Design and deploy replay and simulation tools for autonomous vehicle development and testing. Lead customer bring-up activities, resolve functional and simulation issues, integrate hardware and software, and conduct profiling, benchmarking, and verification. Perform vehicle and simulation test drives, analyze recorded data, and compare simulation results with real-world performance. Collaborate with engineering and product teams globally to develop scalable solutions and improve autonomous driving system drivability.

Build and operate software automation for large-scale NVIDIA GPU infrastructure. Responsibilities include bare-metal provisioning, hardware validation, firmware upgrades, repair workflows, cluster lifecycle management, BMC and Redfish tooling, and NVIDIA NVL72 and BlueField DPU operations. Diagnose failures across hardware, Linux, networking, and Kubernetes; support incident response, on-call operations, observability, root-cause analysis, and permanent remediation across cloud and on-premises environments.

Architect and develop scalable cloud-based AI developer tools, including SaaS, APIs, SDKs, CLIs, and coding or profiling agents. Collaborate with product, research, and engineering teams to improve developer workflows across coding, testing, debugging, profiling, and CUDA optimization. Mentor engineers, review code and designs, and build reliable, cost-efficient services using cloud infrastructure, Kubernetes, DevOps practices, and Python.

Develop SoC software, validation solutions, and test frameworks spanning user space, Linux kernels, firmware, and boot software. Lead system validation from pre-silicon through production, improve reliability and power efficiency, and investigate complex hardware-software failures. The role collaborates across teams to deliver data center, AI, HPC, autonomous, and other accelerated computing platforms.

Design and implement GPU performance profiling tools focused on AI applications. Build features used by CUDA developers, collaborate with NVIDIA compiler and CUDA driver teams, and influence tool design. The role requires strong C++ software engineering experience, GPU hardware knowledge, and familiarity with performance tools, with preferred expertise in CUDA kernel programming, profiling, and DWARF parsing.

Develops self-service infrastructure, diagnostics, and validation mechanisms for build, simulation, and testing workloads. Investigates performance and reliability across applications, remote execution, compute resources, GPUs, storage, and host systems. Uses profiling, metrics, traces, benchmarks, and controlled experiments to improve scheduling, resource utilization, caching, data paths, recovery, efficiency, stability, and cost. Collaborates across engineering teams to implement, validate, document, and operationalize infrastructure improvements.

Design, build, and operate NVIDIA’s hosted Apache Spark acceleration service across Kubernetes, AWS, GPU Spark runtime, and workload-routing layers. Develop Java and Scala services, integrate data lake technologies, investigate large-scale production failures, maintain observability and runbooks, participate in on-call, and guide infrastructure, CI, and testing decisions.

Design, build, and operate scalable backend services, distributed systems, APIs, data integrations, and marketing platforms. Develop responsive frontend interfaces, lead architecture decisions, mentor engineers, and collaborate with product, design, and marketing teams. Own production readiness, CI/CD, observability, security, deployments, capacity planning, and incident response. Support AI-enabled features while maintaining reliable customer profile, consent, personalization, and campaign workflows.

Design, develop, and optimize high-performance GeForce NOW gaming servers and platform software. Optimize game performance, Linux kernel and user-space interactions, KVM virtualization, system software, and CPU/GPU scheduling at scale. Apply knowledge of gaming workloads, hardware-software interactions, operating-system internals, memory management, and computer architecture to improve cloud gaming performance and stability.

Architect and develop production software for datacenter power and performance management. Responsibilities include real-time control policies, hardware-software interfaces, validation automation, silicon bring-up, debugging across firmware, drivers, hardware, and platform layers, and power optimization across racks and data halls. The role requires collaboration with GPU, ASIC, firmware, validation, and datacenter systems teams throughout the product lifecycle.

Develop and optimize Slurm system software in C, including networking, system-level, application-level, and device-level components. Diagnose complex reliability and performance issues, create automated tests, collaborate with operations and infrastructure teams, and provide technical support. The role requires Linux systems programming, debugging, performance profiling, system administration knowledge, and familiarity with containers and GPU technologies.

Develop and maintain performance instrumentation requirements, tracing, telemetry, validation, and alerting systems for production machine learning and systems software. Identify visibility gaps, design low-overhead instrumentation APIs, measure observer effects, ensure data quality, and collaborate across teams to deliver code changes. The role requires debugging across component boundaries, validating changes through testing and measurement, and balancing overhead, fidelity, sampling, and aggregation.

Develop and optimize Slurm system software in C, including networking, system, device, and application-level components. Debug complex reliability and performance issues, write automated tests, support production environments, and collaborate with Operations, Infrastructure, and Deployment teams. The role requires strong Linux systems programming, systems administration, debugging, performance profiling, and familiarity with containers, GPUs, compilers, and build systems. Experience with HPC scheduling systems, operating system internals, and hardware-software interaction is advantageous.

Own and architect large-scale backend systems powering Anthropic’s API, Claude products, and enterprise platforms. Lead complex projects, make scalability and reliability decisions, collaborate across engineering, product, research, and commercial teams, and remain hands-on with code and AI models. Potential areas include platform serving, developer experience, agentic systems, identity, enterprise foundations, safety, and cloud-native distribution.

Design and implement cloud-native data management services (catalog, metadata, dataset/checkpoint lifecycle) for exabyte-scale GPU workloads. Build backend systems on Kubernetes and major cloud providers, collaborate with research and cross-functional teams, document architecture, and drive integration with storage/compute innovations (GPU Direct Storage, DPU).

Architect and develop diagnostic systems for NVIDIA data center platforms across hardware and software interfaces. Lead platform bring-up, hardware validation, failure root-cause analysis, and diagnostic deployment across ODM factories, cloud providers, and partner production lines. Establish diagnostic architecture and product roadmaps, develop tools using C, C++, and Python, collaborate with multidisciplinary teams, and mentor engineering staff.

Design and implement CUDA/C++ libraries to accelerate Apache Spark DataFrame and I/O operations, collaborate on distributed multi-node GPU solutions, contribute to open-source projects (RAPIDS, CCCL, UCX), and drive testing, CI, and cross-platform optimization for enterprise deployments.

Develop and optimize Vulkan graphics drivers to maximize performance, power-efficiency, and latency for games and creative apps. Diagnose GPU/CPU bottlenecks, implement driver performance improvements, fix defects, collaborate across teams, and communicate API usage changes to third-party developers.

Develop and optimize software for NVIDIA's autonomous vehicle platform, collaborating with teams and providing technical support for productization.

Develop low-level drivers, tests, and frameworks for Tegra SoC diagnostics across user space, kernel, firmware, and boot software. Analyze system architecture, stress power and bandwidth limits, improve validation and manufacturing-screening software, debug complex module and rack failures, and drive software architecture improvements. Collaborate with internal teams, customers, and partners throughout the software development lifecycle.

Develop and maintain scalable full-stack web applications, web services, microservices, and large-scale data platforms supporting VLSI design and modeling. Responsibilities include frontend and backend development, requirements consultation, performance analysis, database and object modeling, and infrastructure development for big-data scenarios.

Optimize deep learning inference for autonomous vehicles and robotics on NVIDIA edge platforms. Analyze model architectures at the operator and kernel level, benchmark performance, resolve customer workload issues, evaluate emerging architectures, and develop TensorRT and compiler-stack solutions for Jetson, DRIVE, GPU, and ARM systems. Collaborate with compiler, runtime, hardware, automotive, and robotics teams while contributing to roadmaps, technical presentations, and production deployment strategies.

The role involves developing advanced computational methods for semiconductor manufacturing, leading innovation, and scaling software for high data processing needs.